Vorlesungsverzeichnis - Master of Science - Economic Policy and Quantitative Methods Prüfungsversion Wintersemester 2020/21 - Universität Potsdam
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Vorlesungsverzeichnis Master of Science - Economic Policy and Quantitative Methods Prüfungsversion Wintersemester 2020/21 Sommersemester 2021
Inhaltsverzeichnis Inhaltsverzeichnis Abkürzungsverzeichnis 4 Basic Courses........................................................................................................................................................ 5 MA-B-100 - Advanced Microeconomics 5 MA-B-200 - Advanced Macroeconomics 5 MA-B-300 - Advanced Microeconometrics 5 Specialisation: Economic Policy..........................................................................................................................5 MA-P-110 - Political Economics I: Methods 5 88018 V - Political Economics I: Methods 5 MA-P-120 - Political Economics II: Applications 6 88019 U - Political Economics II: Applications 6 MA-P-210 - Urban Economics I: Methods 6 MA-P-220 - Urban Economics II: Applications 6 MA-P-310 - Growth and Distribution I: Theory 6 88439 V - Growth and Distribution I: Theory 7 MA-P-320 - Growth and Distribution II: Applications & Empirics 7 88438 FU - Growth and Distribution II: Applications & Empricals 7 MA-P-410 - Economic Policy 8 88475 VU - Education, Labour, and Health Economics: Applications with the German Socio-Economic Panel (SOEP) 8 MA-P-420 - Advanced Economic Policy I: Theory 9 89054 V - Education, Labour, and Health Economics: Applications with the German Socio-Economic Panel (SOEP) (1) 9 MA-P-430 - Advanced Economic Policy II: Applications 9 89055 S - Education, Labour, and Health Economics: Applications with the German Socio-Economic Panel (SOEP) (2) 9 MA-P-510 - Behavioural Economics 10 88025 V - Behavioral Economics 10 88026 FU - Behavioral Economics 11 MA-P-610 - Recent Topics in Economic Policy I 11 MA-P-620 - Recent Topics in Economic Policy II 11 88029 VS - Innovation and Productivity 11 88294 V - Environmental Policy 12 88393 V - Labor Economics 14 88819 V - Topics in Integrated Assessment of Climate Change Mitigation Strategies (1) 14 89049 V - Environmental Policy (1) 17 89050 V - Innovation and Productivity (1) 18 MA-P-630 - Seminar in Economic Policy 19 Specialisation: Quantitative Methods................................................................................................................ 19 MA-M-110 - Policy Evaluation I: Methods 19 88146 V - Policy Evaluation I: Methods 19 MA-M-120 - Policy Evaluation II: Applications 20 88149 U - Policy Evaluation II: Applications 20 MA-M-210 - Econometric Methods and Applications I 21 2 Abkürzungen entnehmen Sie bitte Seite 4
Inhaltsverzeichnis MA-M-220 - Econometric Methods and Applications II 21 88145 V - Panel Data Econometrics 21 MA-M-310 - Quantitative Methods I 21 88436 S - Quantitative Macroeconomics -- Models in Action 21 MA-M-320 - Quantitative Methods II 22 MA-M-410 - Seminar in (Applied) Quantitative Methods 22 Electives................................................................................................................................................................22 MA-E-210 - Advanced Economic Studies I 22 MA-E-220 - Advanced Economic Studies II 22 88029 VS - Innovation and Productivity 22 88294 V - Environmental Policy 23 89052 S - Environmental Policy (2) 25 89053 S - Innovation and Productivity (2) 26 MA-E-230 - Advanced Economic Studies III 27 MA-E-310 - Internship I 27 MA-E-320 - Internship II 27 MA-E-330 - Internship III 28 Research Colloquium 28 88021 KL - Forschungs-Kolloquium Finanzwissenschaft 28 88141 KL - Research Colloquium Microeconomics 28 88148 KL - Research Colloquium Empirical Eonomics 28 88293 KL - Research Colloquium in Environmental Economics 28 88432 FS - Research Colloquium Macroeconomics 29 Glossar 30 3 Abkürzungen entnehmen Sie bitte Seite 4
Abkürzungsverzeichnis Abkürzungsverzeichnis Veranstaltungsarten Andere AG Arbeitsgruppe N.N. Noch keine Angaben B Blockveranstaltung n.V. Nach Vereinbarung BL Blockseminar LP Leistungspunkte DF diverse Formen SWS Semesterwochenstunden EX Exkursion Belegung über PULS FP Forschungspraktikum FS Forschungsseminar PL Prüfungsleistung FU Fortgeschrittenenübung PNL Prüfungsnebenleistung GK Grundkurs KL Kolloquium SL Studienleistung KU Kurs LK Lektürekurs L sonstige Leistungserfassung OS Oberseminar P Projektseminar PJ Projekt PR Praktikum PU Praktische Übung RE Repetitorium RV Ringvorlesung S Seminar S1 Seminar/Praktikum S2 Seminar/Projekt S3 Schulpraktische Studien S4 Schulpraktische Übungen SK Seminar/Kolloquium SU Seminar/Übung TU Tutorium U Übung UN Unterricht UP Praktikum/Übung V Vorlesung VE Vorlesung/Exkursion VP Vorlesung/Praktikum VS Vorlesung/Seminar VU Vorlesung/Übung WS Workshop Veranstaltungsrhytmen wöch. wöchentlich 14t. 14-täglich Einzel Einzeltermin Block Block BlockSa Block (inkl. Sa) BlockSaSo Block (inkl. Sa,So) 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Vorlesungsverzeichnis Basic Courses MA-B-100 - Advanced Microeconomics Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten MA-B-200 - Advanced Macroeconomics Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten MA-B-300 - Advanced Microeconometrics Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten Specialisation: Economic Policy MA-P-110 - Political Economics I: Methods 88018 V - Political Economics I: Methods Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 V Mo 14:00 - 16:00 wöch. Online.Veranstalt 12.04.2021 Prof. Dr. Rainald Borck Kommentar Die Vorlesung beginnt am 12.04.2021. Sie findet wöchentlich über Zoom statt, montags 14.00-16.00 Uhr. Literatur Wird in der Lehrveranstaltung bekannt gegeben. Leistungsnachweis Leistungserfassung: Klausur (90 Minuten). Studierende im Studiengang Economics sind mit der Anmeldung zur Vorlesung bereits zur Klausur angemeldet. Eine Abmeldung ist nur im Belegungszeitraum möglich. Studierende im Studiengang EPQM müssen sich in PULS zur Klausur gesondert anmelden (bis spätestens 8 Tage vor dem Prüfungstermin). Lerninhalte Studierende - verfügen über vertiefte Kenntnisse der politischen Ökonomie und kennen den aktuellen Forschungsstand in diesen Gebieten, - beherrschen die Methoden zur theoretischen und empirischen Analyse politökonomischer Modelle, - können aktuelle politökonomische Fragestellungen mit Hilfe ökonomischer Theorien bearbeiten und wirtschaftspolitische Maßnahmen fundiert beurteilen, - können Probleme aus dem Bereich der politischen Ökonomie eigenständig bearbeiten und lösen. 5 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Leistungen in Bezug auf das Modul SL 413721 - Vorlesung (unbenotet) MA-P-120 - Political Economics II: Applications 88019 U - Political Economics II: Applications Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 U Mi 10:00 - 12:00 wöch. Online.Veranstalt 21.04.2021 Relika Stoppel, Niklas Gohl, Prof. Dr. Rainald Borck Kommentar Die Übung erfolgt asynchron. Zusätzlich gibt es wöchentliche Zoom-Sprechstunden. Nähere Infos werden über den entsprechenden Moodle-Kurs angekündigt. Literatur Wird in der Lehrveranstaltung bekannt gegeben. Leistungsnachweis Leistungserfassung: Bearbeitung von Aufgabensets (10-15 Seiten) Studierende im Studiengang Economics sind mit der Anmeldung zur Fortgeschrittenenübung bereits zur Leistungserfassung angemeldet. Eine Abmeldung ist nur im Belegungszeitraum möglich. Studierende im Studiengang EPQM müssen sich in PULS zur Leistungserfassung gesondert anmelden. Lerninhalte Studierende - verfügen über vertiefte Kenntnisse der politischen Ökonomie und kennen den aktuellen Forschungsstand in diesen Gebieten, - beherrschen die Methoden zur theoretischen und empirischen Analyse politökonomischer Modelle, - können aktuelle politökonomische Fragestellungen mit Hilfe ökonomischer Theorien bearbeiten und wirtschaftspolitische Maßnahmen fundiert beurteilen, - können Probleme aus dem Bereich der politischen Ökonomie eigenständig bearbeiten und lösen. Die Fortgeschrittenenübung wird online stattfinden. Sprache: Englisch. Start ist am 28.04.2021. Leistungen in Bezug auf das Modul SL 413731 - Fortgeschrittenenübung (unbenotet) MA-P-210 - Urban Economics I: Methods Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten MA-P-220 - Urban Economics II: Applications Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten MA-P-310 - Growth and Distribution I: Theory 6 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 88439 V - Growth and Distribution I: Theory Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 V Do 10:00 - 12:00 wöch. Online.Veranstalt 15.04.2021 Prof. Dr. Maik Heinemann Kommentar Lecture: Thursday, 10.15-11.45 am, online via Zoom (link in the moodle course) Tutorial: Tuesday, 12.15-13.45 pm, online via Zoom (link in the moodle course) Moodle: regular uploads, password: Ramsey21 Description: The course is open for M.A.and Ph.D. students. The objective of the course is to give an overview over modern theories of economic growth. The formal presentation uses the continuous–time framework in order to equip the students with the formal tools required to analyze continuous–time economic dynamics. Besides looking at growth models, the lecture addresses also related topics like the distribution of wealth and income, exhaustible resources and stochastic growth models. The lecture is accompanied by a tutorial. (Credits: Lecture: 6 ECTS / Tutorial: 6 ECTS) Contents: – Formal Prerequisites: Differential Equations and Theory of Optimal Control – The Neoclassical Growth Model – The Ramsey Model – First Generation Models of Endogenous Growth – Second Generation Model of Endogenous Growth – Stochastic Growth Literatur The following two books cover most of the topics addressed in the lecture: Acemuglu, D., (2009), Introduction to Modern Economic Growth (Princeton University Press). Barro, R. & Sala-i Martin, X., (2004), Economic Growth (MIT–Press), 3rd edn. Further references and recommendations for further reading will be given during the course. Leistungsnachweis Exam Leistungen in Bezug auf das Modul SL 413761 - Vorlesung (unbenotet) MA-P-320 - Growth and Distribution II: Applications & Empirics 88438 FU - Growth and Distribution II: Applications & Empricals Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 FU Di 12:00 - 14:00 wöch. Online.Veranstalt 13.04.2021 Prof. Dr. Maik Heinemann, Hannes Qualo 7 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Kommentar Lecture: Thursday, 10.15-11.45 am, online via Zoom (link in the moodle course) Tutorial: Tuesday, 12.15-13.45 pm, online via Zoom (link in the moodle course) Moodle: regular uploads, password: Ramsey21 Description: The course is open for M.A.and Ph.D. students. The objective of the course is to give an overview over modern theories of economic growth. The formal presentation uses the continuous–time framework in order to equip the students with the formal tools required to analyze continuous–time economic dynamics. Besides looking at growth models, the lecture addresses also related topics like the distribution of wealth and income, exhaustible resources and stochastic growth models. The lecture is accompanied by a tutorial. (Credits: Lecture: 6 ECTS / Tutorial: 6 ECTS) Contents: – Formal Prerequisites: Differential Equations and Theory of Optimal Control – The Neoclassical Growth Model – The Ramsey Model – First Generation Models of Endogenous Growth – Second Generation Model of Endogenous Growth – Stochastic Growth Literatur The following two books cover most of the topics addressed in the lecture: Acemuglu, D., (2009), Introduction to Modern Economic Growth (Princeton University Press). Barro, R. & Sala-i Martin, X., (2004), Economic Growth (MIT–Press), 3rd edn. Further references and recommendations for further reading will be given during the course Leistungsnachweis Problem Sets Leistungen in Bezug auf das Modul PNL 413771 - Fortgeschrittenenübung (unbenotet) MA-P-410 - Economic Policy 88475 VU - Education, Labour, and Health Economics: Applications with the German Socio-Economic Panel (SOEP) Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 V Do 14:00 - 16:00 wöch. Online.Veranstalt 15.04.2021 Prof. Dr. Thomas Siedler 1 FU Do 16:00 - 18:00 wöch. Online.Veranstalt 15.04.2021 Prof. Dr. Thomas Siedler Kommentar This course is centered around the replication of published studies with the SOEP • You do the replication (in groups of 2-3) • Prof. Siedler will provide support for you to replicate the paper, including • SOEP Data + Intro to SOEP • Stata + Exercises how to use Stata for handling the SOEP data • Provide a discussion forum for questions • Guiding principle: Helping you to help yourselves 8 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Leistungsnachweis • 2 presentations and seminar paper (max. 15 pages, incl. tables, figures and references) Lerninhalte • Conduct an empirical analysis using individual micro-data • Extend your Stata knowledge • Overview over a complex data set, the German Socio-Economic Panel Study (SOEP) • Read, understand and extend scientific articles • Apply knowledge from your econometrics course • Deepen knowledge in one important field of economics: health economics, labor economics, economics of education • Course will be very useful as preparation for your own empirical Master (and PhD) thesis Leistungen in Bezug auf das Modul PNL 413782 - Fortgeschrittenenübung (unbenotet) MA-P-420 - Advanced Economic Policy I: Theory 89054 V - Education, Labour, and Health Economics: Applications with the German Socio-Economic Panel (SOEP) (1) Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 V Do 14:00 - 16:00 wöch. Online.Veranstalt 15.04.2021 Prof. Dr. Thomas Siedler 1 V N.N. N.N. wöch. N.N. N.N. Prof. Dr. Thomas Siedler Kommentar This course is centered around the replication of published studies with the SOEP • You do the replication (in groups of 2-3) • Prof. Siedler will provide support for you to replicate the paper, including • SOEP Data + Intro to SOEP • Stata + Exercises how to use Stata for handling the SOEP data • Provide a discussion forum for questions • Guiding principle: Helping you to help yourselves Lerninhalte • Conduct an empirical analysis using individual micro-data • Extend your Stata knowledge • Overview over a complex data set, the German Socio-Economic Panel Study (SOEP) • Read, understand and extend scientific articles • Apply knowledge from your econometrics course • Deepen knowledge in one important field of economics: health economics, labor economics, economics of education • Course will be very useful as preparation for your own empirical Master (and PhD) thesis Leistungen in Bezug auf das Modul SL 413821 - Vorlesung (unbenotet) MA-P-430 - Advanced Economic Policy II: Applications 89055 S - Education, Labour, and Health Economics: Applications with the German Socio-Economic Panel (SOEP) (2) Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 V Do 16:00 - 18:00 wöch. Online.Veranstalt 15.04.2021 Prof. Dr. Thomas Siedler 1 V N.N. N.N. wöch. N.N. N.N. Prof. Dr. Thomas Siedler 9 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Kommentar This course is centered around the replication of published studies with the SOEP • You do the replication (in groups of 2-3) • Prof. Siedler will provide support for you to replicate the paper, including • SOEP Data + Intro to SOEP • Stata + Exercises how to use Stata for handling the SOEP data • Provide a discussion forum for questions • Guiding principle: Helping you to help yourselves Leistungsnachweis • 2 presentations and seminar paper (max. 15 pages, incl. tables, figures and references) Lerninhalte • Conduct an empirical analysis using individual micro-data • Extend your Stata knowledge • Overview over a complex data set, the German Socio-Economic Panel Study (SOEP) • Read, understand and extend scientific articles • Apply knowledge from your econometrics course • Deepen knowledge in one important field of economics: health economics, labor economics, economics of education • Course will be very useful as preparation for your own empirical Master (and PhD) thesis Leistungen in Bezug auf das Modul SL 413831 - Fortgeschrittenenübung (unbenotet) MA-P-510 - Behavioural Economics 88025 V - Behavioral Economics Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 V Di 12:00 - 14:00 wöch. Online.Veranstalt 04.05.2021 Maximilian Späth 1 V Fr 10:00 - 12:00 Einzel Online.Veranstalt 14.05.2021 Maximilian Späth 1 V Fr 10:00 - 12:00 Einzel Online.Veranstalt 04.06.2021 Maximilian Späth 1 V Fr 10:00 - 12:00 Einzel Online.Veranstalt 18.06.2021 Maximilian Späth Kommentar Die Vorlesung „Behavioral Economics” und die parallel laufende Fortgeschrittenenübung sollen einen umfassenden Überblick über die grundlegenden Fragestellungen und Methoden der Verhaltensökonomik geben. Anhand vieler praktischer Beispiele lernen die Studierenden, inwiefern menschliches Handeln systematisch von den Standardannahmen des homo oeconomicus – Rationalität und Eigennutzmaximierung – abweicht. Sie erarbeiten alternative Modelle, die diese scheinbare „Irrationalität” zu erklären versuchen. Konkret werden in der Vorlesung die folgenden Konzepte diskutiert werden: • Zeitpräferenzen • Verhalten unter Risiko und Unsicherheit • Referenzpunkte • Soziale Präferenzen • Intrinsische Motivation Die Vorlesungssprache ist Englisch. Voraussetzung Vorkenntnisse in Mikroökonomik erforderlich Leistungsnachweis Klausur 90 Minuten Studierende im Studiengang Economic sind mit der Anmeldung zur Vorlesung bereits zur Klausur angemeldet. Eine Abmeldung ist nur im Belegungszeitraum möglich. Studierende im Studiengang EPQM müssen sich in PULS zur Klausur gesondert anmelden (bis spätestens 8 Tage vor dem Prüfungstermin). 10 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Bemerkung Die Materialien für die Veranstaltung werden im Moodle-Kurs zur Verfügung gestellt. Leistungen in Bezug auf das Modul SL 413841 - Vorlesung (unbenotet) 88026 FU - Behavioral Economics Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 FU Di 16:00 - 18:00 wöch. Online.Veranstalt 04.05.2021 Niklas Ziemann 1 FU Fr 14:00 - 16:00 Einzel Online.Veranstalt 14.05.2021 Niklas Ziemann 1 FU Fr 14:00 - 16:00 Einzel Online.Veranstalt 04.06.2021 Niklas Ziemann 1 FU Fr 14:00 - 16:00 Einzel Online.Veranstalt 18.06.2021 Niklas Ziemann Kommentar Die Vorlesung „Behavioral Economics” und die parallel laufende Fortgeschrittenenübung sollen einen umfassenden Überblick über die grundlegenden Fragestellungen und Methoden der Verhaltensökonomik geben. Anhand vieler praktischer Beispiele lernen die Studierenden, inwiefern menschliches Handeln systematisch von den Standardannahmen des homo oeconomicus – Rationalität und Eigennutzmaximierung – abweicht. Sie erarbeiten alternative Modelle, die diese scheinbare „Irrationalität” zu erklären versuchen. Konkret werden in der Vorlesung die folgenden Konzepte diskutiert werden: • Zeitpräferenzen • Verhalten unter Risiko und Unsicherheit • Referenzpunkte • Soziale Präferenzen • Intrinsische Motivation Die Vorlesungssprache ist Englisch. Voraussetzung Vorkenntnisse in Mikroökonomik erforderlich Leistungsnachweis Bearbeitung von Aufgabensets (10-15 Seiten) Bemerkung Die Materialien für die Veranstaltung werden im Moodle-Kurs zur Verfügung gestellt. Leistungen in Bezug auf das Modul PNL 413842 - Fortgeschrittenenübung (unbenotet) MA-P-610 - Recent Topics in Economic Policy I Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten MA-P-620 - Recent Topics in Economic Policy II 88029 VS - Innovation and Productivity Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 S Mi 14:00 - 16:00 wöch. Online.Veranstalt 14.04.2021 Prof. Dr. Alexander Kritikos 1 S N.N. N.N. 14t. N.N. N.N. Prof. Dr. Alexander Kritikos 11 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Kommentar Investments in innovation systems that aim to provide a supporting environment for innovation activities, as well investments in innovation activities themselves play an increasingly important role in innovation-driven economies, both for economic growth in a globalized world with increasing competition, and for the creation of new jobs. This seminar focusses on the interplay between innovation systems, innovation activities in private firms and the impact of their innovation output on firm productivity. In this seminar, participants write a 15-page seminar paper making use of the provided literature and present the most important results of their essays in the seminar. Seminar paper, presentation of the work, regular participation in the seminar Literatur Link, N. Albert; Siegel D. S.: Innovation; Entrepreneurship, and Technological Change, Oxford University Press (2007). Leistungsnachweis Portfolioprüfung bestehend aus: Referat (gewichtet mit 25%) und eine 15-20 seitige Ausarbeitung (gewichtet mit 75%) Portfolio examination consisting of: presentation (weighted with 25%) and a 15-20 page report (weighted with 75%) Bemerkung Please note that this course is offered independently of the lecture by Lisa Bruttel. Further Information: The seminar will take place as planned and will consist of three blocks: I) Introduction to the event on April 14, 2 p.m. (via Webex). The topic selection will happen in the subsequent days. For the invitation via Webex, please send your email to akritikos@diw.de or register at Puls. II) Supervision of the course work (discussion of the structure, etc.) throughout the semester, online for as long as necessary. III) Submission of the work at the beginning of July and presentation of the work in blocked form at the end of the semester, either online or in a face-to-face event mid of July. Lerninhalte Innovation Systems, design and relevance: how to support innovation Innovation Indicators: how to measure innovation systems? Where does Germany stand compared to other countries? Research & Patent Strategies Research and Innovation Output, a risky relationship Innovation Output, firm productivity and firm profitability. A strategy that pays for all firms? Knowledge Spill-Over and Economic Development Firm Size and Innovation Regulation and innovation: which regulation hinders innovation, which promotes innovation? vation? Leistungen in Bezug auf das Modul SL 413861 - Vorlesung (unbenotet) 88294 V - Environmental Policy Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 S Mo 14:00 - 16:00 wöch. Online.Veranstalt 19.04.2021 Prof. Dr. Matthias Kalkuhl, Michael Kostmann 1 S N.N. N.N. wöch. N.N. N.N. Prof. Dr. Matthias Kalkuhl, Michael Kostmann 12 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Kommentar In this seminar, we will study how to empirically evaluate climate policy and environmental policy. Focus will be on state- of-the art econometric techniques to identify causal effects of policies on key outcome variables (e.g. emissions, costs, prices, welfare). Examples of policies studied are carbon prices, fuel efficiency standards, or information policies, among others. Students read and present academic papers, discuss them in class and finally develop a short research design for an empirical policy impact analysis. Voraussetzung Advanced Microeconometrics Literatur Bruegge, C., Deryugina, T., & Myers, E. (2019). The Distributional Effects of Building Energy Codes. Journal of the Association of Environmental and Resource Economists, 6(S1), S95-S127. Jacobsen, G. D., & Kotchen, M. J. (2013). Are building codes effective at saving energy? Evidence from residential billing data in Florida. Review of Economics and Statistics, 95(1), 34-49. Allcott, H., & Wozny, N. (2014). Gasoline Prices, Fuel Economy, and the Energy Paradox. Review of Economics and Statistics, 96(5), 779–795. Allcott, H., & Taubinsky, D. (2015). Evaluating behaviorally motivated policy: Experimental evidence from the lightbulb market. American Economic Review, 105(8), 2501-38. Davis, L. W., & Knittel, C. R. (2019). Are Fuel Economy Standards Regressive? Journal of the Association of Environmental and Resource Economists, 6(S1), S37–S63. Reynaert, M. (2019). Abatement strategies and the cost of environmental regulation: Emission standards on the European car market. R&R (2nd round) at Review of Economic Studies Gillingham, K., & Munk-Nielsen, A. (2019). A Tale Of two tails: Commuting and the fuel price response in driving. Journal of Urban Economics, 109, 27–40. Li, S., Linn, J., & Muehlegger, E. (2014). Gasoline taxes and consumer behavior. American Economic Journal: Economic Policy, 6(4), 302-42. Andersson, J. J. (2019). Carbon Taxes and CO 2 Emissions: Sweden as a Case Study. American Economic Journal: Economic Policy, 11(4), 1-30. Severen, C., & Van Benthem, A. (2019). Formative Experiences and the Price of Gasoline. National Bureau of Economic Research WP No. W26091 Gillingham, K., Houde, S., & Van Benthem, A. (2019). Consumer myopia in vehicle purchases: evidence from a natural experiment. National Bureau of Economic Research WP No. W25845. Muehlegger, E., & Rapson, D. S. (2018). Subsidizing mass adoption of electric vehicles: Quasi-experimental evidence from california. National Bureau of Economic Research WP No. W25359. Springel, K. (2019). Network externality and subsidy structure in two-sided markets: Evidence from electric vehicle incentives. R&R at American Economic Journal: Economic Policy. Durrmeyer, I. (2018). Winners and Losers: The Distributional Effects of the French Feebate on the Automobile Market. TSE Working Papers 18-950. Leistungsnachweis 1 Presentation + 2 discussion inputs (June) + term paper (End of August) Bemerkung The link for the first ZOOM-Seminar on 19 April, 14:15 - 15:45 is: https://uni-potsdam.zoom.us/j/67827928412 Meeting-ID: 678 2792 8412 Kenncode: 30305752 13 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Lerninhalte The seminar will start with three introductory sessions that introduce key concepts and methods. There will be two larger block seminar sessions (whole day) in June - either in virtual format or in presence format, depending on the overall pandemic situation. Students are supposed to contribute to the seminar as follows: • Each student presents 1 paper from the literature list that evaluate a specific environmental policy measure empirically • Each student discusses two presentations of other students briefly (this requires to read their papers as well and to prepare some critical questions) • Each student submits a short written proposal [6-10 pages] on a research design for evaluating a specific climate policy measure by August • All students should engage in discussions on presented papers The grading will consist of the grades from the presentations and the written proposal (term paper). Zielgruppe Master students with economics and statistical knowledge Leistungen in Bezug auf das Modul SL 413861 - Vorlesung (unbenotet) 88393 V - Labor Economics Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 V Fr 10:00 - 12:00 wöch. Online.Veranstalt 16.04.2021 Shushanik Margaryan Literatur For methods: 1) J D Angrist and J S Pischke (2008), Mostly harmless econometrics: An empiricist's companion, Princeton university press 2) For regression discontinuity : D. Lee and T. Lemieux (2010) , Journal of Economic Literature, Regression Discontinuity Designs in Economics The recommended literature on labour economics: 1) Borjas (2008), Labor Economics, 4th ed., McGraw-Hill. (we are going to use this book!) 2) Boeri, T. and van Ours, J. (2008), Imperfect Labor Markets, Princeton: Princeton University Press. 3) Cahuc and Zylberberg (2004), Labor Economics, MIT Press. Leistungsnachweis The course assessment is based on a seminar paper and a presentation. The topics of the seminar papers will be decided during our first meetings. Lerninhalte The seminar aims at providing knowledge on labour economic theory and commonly used empirical methods. The seminar will start with two sessions on the empirical methods at the beginning of the term. The methods we are going to discuss are difference-in differences, instrumental variable estimation and regression discontinuity design. Previous basic knowledge of these methods is an assest. The remaining meetings will largely proceed as discussions. Before each meeting the respective topic will be announced. Students are expected to read the material beforehand and prepare discussion questions and topics. Leistungen in Bezug auf das Modul SL 413861 - Vorlesung (unbenotet) 88819 V - Topics in Integrated Assessment of Climate Change Mitigation Strategies (1) Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 S N.N. N.N. wöch. N.N. N.N. Prof. Dr. Elmar Kriegler 14 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Kommentar In this seminar, we explore key studies in integrated assessment of climate change mitigation strategies. The learning goal is to develop a sound understanding of main concepts of integrated assessment modelling and how it is used to inform climate policy making. Two introductory session will provide (i) a primer on integrated assessment models (IAMs), (ii) an overview of their application for public policy analysis, (iii) a summary of key characteristics of anthropogenic climate change and associated economic concepts, and (iv) an overview of the topics to be covered during the seminar. In the main part of the seminar, we will go through key advances in the integrated assessment of climate change mitigation strategies, with a focus on the economics of reaching long-term climate targets. These advances will be explored step by step to foster an understanding how they build on each other: 1. IAMs and their use for policy evaluation 2. Cost-effective CO2 emissions pathways towards long-term climate targets 3. Climate mitigation is more than just CO2 emissions reduction: Cost-effective multi-gas mitigation strategies and the economic implications of greenhouse gas metrics 4. The introduction of carbon dioxide removal to mitigation pathways: more ambitious targets, overshoot trajectories, economic implications 5. The emissions gap, and the challenge of delayed climate action for keeping long-term targets within reach 6. Translating the Paris Agreement: new target and scenario logics 7. The international dimension: efficiency, equity, sovereignity and burden sharing In each of these sessions, a student presents on one of these topics based on their assigned reading of literature consisting of scientific articles or excerpts from textbooks and reports (2-3 literature sources per presentation). The presentation should include a clear description of the reading content and a reflection. It is followed by a group discussion relating the presented material to the topic. The discussion is opened by the instructor and a prepared comment by another student. After the two introductory sessions, students are given the opportunity to select (1) the topic of their reading assignment for the presentation and (2) the topic for their prepared comment on a first come-first served basis. The final session of the seminar is dedicated to a concluding discussion of the entire material covered in the seminar and guidance for the preparation of the term paper. In the term paper, students are asked to develop their own assessment of selected questions on climate change mitigation strategies. The seminar is designed to allow participants to acquire an own understanding of the key concepts, applications and insights in the field. Besides knowledge about the integrated assessment of climate change mitigation strategies, the course promotes a series of important soft skills: public speaking, presenting and reflecting on scientific content, and navigating self-directed learning in the field of integrated assessment. Literatur Introductory reading assignments • Perman, R., et al., Natural Resource and Environmental Economics: Chapters 2, 5, 16. 4th Edition. Addison Wesley (2018) • Emmanuel, K. A., Climate Science and Climate Risk: A Primer, 17 pp. MIT (2016). https://eapsweb.mit.edu/sites/default/files/ Climate_Primer.pdf • Weyant, J., et. al., Integrated Assessment of Climate Change: An Overview and Comparison of Approaches and Results,” pp. 368-396 (Chapter 10) in J. P. Bruce, et. al. (eds), Climate Change 1995: Economic and Social Dimensions of Climate Change, Cambridge University Press, Cambridge (1996). • The SENSES project. A primer on climate change scenarios. https://climatescenarios.org/primer/ Topical reading assignments Tentative list, some adjustments up to the introductory sessions are possible 1. IAMs and their use for policy evaluation Core (also part of the introductory reading assignment): Weyant, J., et. al., Integrated Assessment of Climate Change: An Overview and Comparison of Approaches and Results,” pp. 368-396 (Chapter 10). In: J. P. Bruce, et. al. (eds), Climate Change 1995: Economic and Social Dimensions of Climate Change, Cambridge University Press, Cambridge (1996). Extended: Weyant, J., Some Contributions of Integrated Assessment Models of Global Climate Change. Review of Environmental Economics and Policy (2017). Extended: Nordhaus, W., Integrated Economic and Climate Modeling, pp. 1069-1131 (Chapter 16). In: Handbook of CGE Modeling - Vol. 1, Elsevier (2013). Core: Wigley, T., Richels, R. & Edmonds, J. Economic and environmental choices in the stabilization of atmospheric CO2 concentrations. Nature 379, 240–243 (1996). Extended: Ha-Duong, M., Grubb, M. & Hourcade, JC. Influence of socioeconomic inertia and uncertainty on optimal CO2- emission abatement. Nature 390, 270–273 (1997). Extended: Manne, A., Richels, R. On stabilizing CO2 concentrations – cost#effective emission reduction strategies. Environmental Modeling & Assessment 2, 251–265 (1997). 3. Cost-effective multi-gas mitigation strategies 15 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Core: Manne, A., Richels R.: An alternative approach to establishing trade-offs among greenhouse gases. Nature 410:675– 677 (2001) Extended: van Vuuren, D., et al.: Multi-gas scenarios to stabilize radiative forcing. Energy Econ 28:102–120 (2006) Extended: Reisinger, A. et al.: Implications of alternative metrics for global mitigation costs and greenhouse gas emissions from agriculture. Clim Chang 117:677–690 (2013) 4. The introduction of carbon dioxide removal to mitigation pathways Core: Azar, C., et al.: The feasibility of low CO2 concentration targets and the role of bio-energy with carbon capture and storage (BECCS). Clim Chang 100(1):195–202. (2010) Extended: van Vuuren, D.P., Riahi K.: The relationship between short-term emissions and long-term concentration targets. Clim Chang 104(3–4):793–801. (2011) Extended: Emmerling, J. et al.: The role of the discount rate for emission pathways and negative emissions. Environ. Res. Lett. (2019) doi:10.1088/1748-9326/ab3cc9 5. The challenge of delayed climate action for keeping long-term targets within reach Core: Luderer, G. et al.: Economic mitigation challenges: how further delay closes the door for achieving climate targets, Environ. Res. Lett. 8 (2013) Extended: Riahi et al.: Locked into Copenhagen pledges — Implications of short-term emission targets for the cost and feasibility of long-term climate goals. Tech. For. Soc. Chang. 90, Part A: 8-23 (2015) Extended: Strefler, J. et al.: Between Scylla and Charybdis: Delayed mitigation narrows the passage between large-scale CDR and high costs. Environ. Res. Lett. 13, 044015 (2018) 6. New target and scenario logics Core: Rogelj, J., Huppmann, D., Krey, V. et al. A new scenario logic for the Paris Agreement long-term temperature goal. Nature 573, 357–363 (2019). Extended: Strefler, J. et al.: Alternative carbon price trajectories can avoid excessive carbon removal. Nature Communications, in press (2021) Core: Bauer, N. et al.: Quantification of an efficiency–sovereignty trade-off in climate policy. Nature 588: 261–266 (2020) Extended: Manne, A. S. & Stephan, G. Global climate change and the equity–efficiency puzzle. Energy 30, 2525–2536 (2005) Extended: Tavoni, M. et al.: Post-2020 climate agreements in the major economies assessed in the light of global models. Nat. Clim. Change 5,119–126 (2015) Extended: Van den Berg, N.J. et al.: Implications of various effort-sharing approaches for national carbon budgets and emission pathways. Clim. Chang. 162: 1805-1822 (2020) Lerninhalte Schedule: Note: Tentative schedule. Final schedule depends on enrollment. Exact time of sessions in the last two blocks will be fixed after the introductory sessions. Sessions start at the exact time as listed. The seminar is scheduled in three blocks. 10.05.2021 Kick-off and introductory sessions 11:30-13:00, 14:00-15:30, 15:45-17:15 12.05.2021 Assignment of presentation and comment topics 31.05.-01.06.2021 Two seminar days with two presentation sessions (90 minutes each) per day. Exact times tbd 23.-24.06.2021 Two seminar days with up to two presentation sessions (90 minutes each) per day and a wrap-up session on the last day. Assignment for the term paper will be given on the second day. Exact dates tbd 19.08.2021 midnight Term paper due Draft presentation slides are due three days before the presentation. For example, if the presentation is scheduled for 31.05., slides and report are due 27.05. midnight. Prepared comments do not need to be shared before the session, but a summary of the comment (e.g. presentation slides or a written summary) is due at midnight of the day after the session. Leistungen in Bezug auf das Modul SL 413861 - Vorlesung (unbenotet) 16 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 89049 V - Environmental Policy (1) Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 V N.N. N.N. wöch. N.N. N.N. Prof. Dr. Matthias Kalkuhl, Michael Kostmann Kommentar In this seminar, we will study how to empirically evaluate climate policy and environmental policy. Focus will be on state- of-the art econometric techniques to identify causal effects of policies on key outcome variables (e.g. emissions, costs, prices, welfare). Examples of policies studied are carbon prices, fuel efficiency standards, or information policies, among others. Students read and present academic papers, discuss them in class and finally develop a short research design for an empirical policy impact analysis. Voraussetzung Advanced Microeconometrics Literatur Bruegge, C., Deryugina, T., & Myers, E. (2019). The Distributional Effects of Building Energy Codes. Journal of the Association of Environmental and Resource Economists, 6(S1), S95-S127. Jacobsen, G. D., & Kotchen, M. J. (2013). Are building codes effective at saving energy? Evidence from residential billing data in Florida. Review of Economics and Statistics, 95(1), 34-49. Allcott, H., & Wozny, N. (2014). Gasoline Prices, Fuel Economy, and the Energy Paradox. Review of Economics and Statistics, 96(5), 779–795. Allcott, H., & Taubinsky, D. (2015). Evaluating behaviorally motivated policy: Experimental evidence from the lightbulb market. American Economic Review, 105(8), 2501-38. Davis, L. W., & Knittel, C. R. (2019). Are Fuel Economy Standards Regressive? Journal of the Association of Environmental and Resource Economists, 6(S1), S37–S63. Reynaert, M. (2019). Abatement strategies and the cost of environmental regulation: Emission standards on the European car market. R&R (2nd round) at Review of Economic Studies Gillingham, K., & Munk-Nielsen, A. (2019). A Tale Of two tails: Commuting and the fuel price response in driving. Journal of Urban Economics, 109, 27–40. Li, S., Linn, J., & Muehlegger, E. (2014). Gasoline taxes and consumer behavior. American Economic Journal: Economic Policy, 6(4), 302-42. Andersson, J. J. (2019). Carbon Taxes and CO 2 Emissions: Sweden as a Case Study. American Economic Journal: Economic Policy, 11(4), 1-30. Severen, C., & Van Benthem, A. (2019). Formative Experiences and the Price of Gasoline. National Bureau of Economic Research WP No. W26091 Gillingham, K., Houde, S., & Van Benthem, A. (2019). Consumer myopia in vehicle purchases: evidence from a natural experiment. National Bureau of Economic Research WP No. W25845. Muehlegger, E., & Rapson, D. S. (2018). Subsidizing mass adoption of electric vehicles: Quasi-experimental evidence from california. National Bureau of Economic Research WP No. W25359. Springel, K. (2019). Network externality and subsidy structure in two-sided markets: Evidence from electric vehicle incentives. R&R at American Economic Journal: Economic Policy. Durrmeyer, I. (2018). Winners and Losers: The Distributional Effects of the French Feebate on the Automobile Market. TSE Working Papers 18-950. 17 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Bemerkung The link for the first ZOOM-Seminar on 19 April, 14:15 - 15:45 is: https://uni-potsdam.zoom.us/j/67827928412 Meeting-ID: 678 2792 8412 Kenncode: 30305752 Lerninhalte The seminar will start with three introductory sessions that introduce key concepts and methods. There will be two larger block seminar sessions (whole day) in June - either in virtual format or in presence format, depending on the overall pandemic situation. Students are supposed to contribute to the seminar as follows: • Each student presents 1 paper from the literature list that evaluate a specific environmental policy measure empirically • Each student discusses two presentations of other students briefly (this requires to read their papers as well and to prepare some critical questions) • Each student submits a short written proposal [6-10 pages] on a research design for evaluating a specific climate policy measure by August • All students should engage in discussions on presented papers The grading will consist of the grades from the presentations and the written proposal (term paper). Zielgruppe Master students with economics and statistical knowledge Leistungen in Bezug auf das Modul SL 413861 - Vorlesung (unbenotet) 89050 V - Innovation and Productivity (1) Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 V N.N. N.N. wöch. N.N. N.N. Prof. Dr. Alexander Kritikos Kommentar Investments in innovation systems that aim to provide a supporting environment for innovation activities, as well investments in innovation activities themselves play an increasingly important role in innovation-driven economies, both for economic growth in a globalized world with increasing competition, and for the creation of new jobs. This seminar focusses on the interplay between innovation systems, innovation activities in private firms and the impact of their innovation output on firm productivity. Literatur Link, N. Albert; Siegel D. S.: Innovation; Entrepreneurship, and Technological Change, Oxford University Press (2007). 18 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Lerninhalte Innovation Systems, design and relevance: how to support innovation Innovation Indicators: how to measure innovation systems? Where does Germany stand compared to other countries? Research & Patent Strategies Research and Innovation Output, a risky relationship Innovation Output, firm productivity and firm profitability. A strategy that pays for all firms? Knowledge Spill-Over and Economic Development Firm Size and Innovation Regulation and innovation: which regulation hinders innovation, which promotes innovation? vation? Leistungen in Bezug auf das Modul SL 413861 - Vorlesung (unbenotet) MA-P-630 - Seminar in Economic Policy Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten Specialisation: Quantitative Methods MA-M-110 - Policy Evaluation I: Methods 88146 V - Policy Evaluation I: Methods Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 V Di 10:00 - 12:00 wöch. Online.Veranstalt 13.04.2021 Prof. Dr. Marco Caliendo Kommentar The aim of this course is to provide participants with a deeper understanding of microeconometric estimation techniques. We will use the topic ”Policy Evaluation” to illustrate and discuss several methods under various types of assumptions. Topics: - Causality and the Potential Outcome Framework - Experiments - Unconfoundedness - Matching - Difference-in-Differences - Instrumental Variables - Regression-Discontinuity Design The lecture will be complemented by a practical computer session ”Public Policy Evaluation (2)” where the estimators will be implemented using STATA. 19 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Voraussetzung Neue StO: MA-B-300 dringend empfohlen Alte StO: MA-600 dringend empfohlen; Belegung nur zusammen mit der Fortgeschrittenen-Übung MA-061 (Teil 2) Literatur Caliendo, M. and R. Hujer (2006): The Microeconometric Estimation of Treatment Effects. An Overview, Allgemeines Statistisches Archiv 90(1), 197–212. Imbens, G., and J.M. Wooldridge (2009): Recent Developments in the Econometrics of Program Evaluation, Journal of Economic Literature 47(1), 5-86. Wooldridge, J. (2013): Introductory Econometrics. A Modern Approach. South-Western Cengage Learning. A detailed reading list with relevant papers will be distributed in the lecture. Leistungsnachweis Klausur (90 Minuten) Studierende im Studiengang Economic sind mit der Anmeldung zur Vorlesung bereits zur Klausur angemeldet. Eine Abmeldung ist nur im Belegungszeitraum möglich. Studierende im Studiengang EPQM müssen sich in PULS zur Klausur gesondert anmelden (bis spätestens 8 Tage vor dem Prüfungstermin). Leistungen in Bezug auf das Modul SL 413621 - Vorlesung (unbenotet) MA-M-120 - Policy Evaluation II: Applications 88149 U - Policy Evaluation II: Applications Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 FU Mo 10:00 - 12:00 wöch. N.N. 12.04.2021 Dr. Katrin Stephanie Huber Raum: 03.01.1.65a 1 FU Mo 10:00 - 12:00 wöch. 3.06.H06 12.04.2021 Dr. Katrin Stephanie Huber 1 FU Fr 10:00 - 14:00 wöch. N.N. 16.04.2021 Dr. Katrin Stephanie Huber Raum: 03.01.1.65a 1 FU Fr 10:00 - 14:00 wöch. 3.06.H06 16.04.2021 Dr. Katrin Stephanie Huber Kommentar Aktuelle Informationen zum Kurs finden Sie auf unserer Lehrstuhlhomepage! This course is a complement to the lecture ”Policy Evaluation I: Methods” and will provide students with the skills and insight necessary for conducting their own empirical analysis. Estimation and hypotheses testing procedures will be illustrated using both simulated and real data application using STATA. Voraussetzung MA-B-300 dringend empfohlen Literatur Kohler, U., und F. Kreuter (2008): Datenanalyse mit Stata, Oldenburg Verlag. Cameron, C., and P. K. Trivedi (2009): Microeconometrics Using Stata, Stata Press, College Station, Texas. 20 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Leistungsnachweis Aktive Mitarbeit und Präsentationen während der Veranstaltung sowie Term Paper. Leistungserfassung Portfolioprüfung. Studierende im Studiengang Economic sind mit der Anmeldung zur Fortgeschrittenenübrung bereits zur Portfolioprüfung angemeldet. Eine Abmeldung ist nur im Belegungszeitraum möglich. Studierende im Studiengang EPQM müssen sich in PULS zur Portfolioprüfung gesondert anmelden. Leistungen in Bezug auf das Modul SL 413631 - Fortgeschrittenenübung (unbenotet) MA-M-210 - Econometric Methods and Applications I Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten MA-M-220 - Econometric Methods and Applications II 88145 V - Panel Data Econometrics Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 V Do 10:00 - 12:00 wöch. Online.Veranstalt 15.04.2021 Prof. Dr. Joschka Wanner Kommentar The aim of the course is to familiarize students with estimation techniques for panel data. Starting from the linear one- and two-way error component models, we will venture into different advanced challenges in panel econometrics, including dynamic, unbalanced, and non-linear panel models. In accompanying computer sessions, we will implement some of the estimators ourselves in R. The course takes place on Thursdays from 10 am (sharp) to 12 on Zoom (ID: 658 3369 1869, code: 84900656). Voraussetzung Successful completion of "Advanced Microeconometrics" is expected. Literatur The main accompanying textbook for the course is "Econometric Analysis of Panel Data" by Badi Baltagi (5th edition). Additional references will be given in the lecture. Leistungsnachweis The course will be assessed with a 90 minute exam, including both a theory and a computer component. Zielgruppe Students of the Master in "Economic Policy and Quantitative Methods". Other interested students with advanced previous knowledge in econometrics are also welcome in the course. Leistungen in Bezug auf das Modul SL 413651 - Vorlesung/Seminar/Fortgeschrittenenübung (unbenotet) MA-M-310 - Quantitative Methods I 88436 S - Quantitative Macroeconomics -- Models in Action Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 BL Di 16:00 - 18:00 wöch. Online.Veranstalt 13.04.2021 Prof. Dr. Maik Heinemann 21 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Kommentar Tuesday, 4.15-5.45 pm, online via Zoom (link in the moodle course) Moodle password: Bellman21 Description: The course provides the participants with some of the tools which are necessary and helpful to solve modern dynamic macroeconomic models numerically. The course alternates between lecture style and practical sessions using MATLAB. Requirements: Participants should have some prior knowledge in dynamic macroeconomics and some experience with dynamics economics models. It is also helpful if the participants experience fun in doing solving models with the help of computer. Contents: – Dynamics of the Solow growth model – Cyclical and complex dynamics – Function approximation – Numerical solution of intertemporal consumption problems – Numerical solutions of deterministic and stochastic Ramsey models – Models with heterogeneous agents Literatur References and recommendations for further reading will be given during the course Leistungsnachweis presentation and term paper Leistungen in Bezug auf das Modul SL 413661 - Vorlesung oder Seminar (unbenotet) MA-M-320 - Quantitative Methods II Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten MA-M-410 - Seminar in (Applied) Quantitative Methods Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten Electives MA-E-210 - Advanced Economic Studies I Für dieses Modul werden aktuell keine Lehrveranstaltungen angeboten MA-E-220 - Advanced Economic Studies II 88029 VS - Innovation and Productivity Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 S Mi 14:00 - 16:00 wöch. Online.Veranstalt 14.04.2021 Prof. Dr. Alexander Kritikos 1 S N.N. N.N. 14t. N.N. N.N. Prof. Dr. Alexander Kritikos 22 Abkürzungen entnehmen Sie bitte Seite 4
Master of Science - Economic Policy and Quantitative Methods - Prüfungsversion Wintersemester 2020/21 Kommentar Investments in innovation systems that aim to provide a supporting environment for innovation activities, as well investments in innovation activities themselves play an increasingly important role in innovation-driven economies, both for economic growth in a globalized world with increasing competition, and for the creation of new jobs. This seminar focusses on the interplay between innovation systems, innovation activities in private firms and the impact of their innovation output on firm productivity. In this seminar, participants write a 15-page seminar paper making use of the provided literature and present the most important results of their essays in the seminar. Seminar paper, presentation of the work, regular participation in the seminar Literatur Link, N. Albert; Siegel D. S.: Innovation; Entrepreneurship, and Technological Change, Oxford University Press (2007). Leistungsnachweis Portfolioprüfung bestehend aus: Referat (gewichtet mit 25%) und eine 15-20 seitige Ausarbeitung (gewichtet mit 75%) Portfolio examination consisting of: presentation (weighted with 25%) and a 15-20 page report (weighted with 75%) Bemerkung Please note that this course is offered independently of the lecture by Lisa Bruttel. Further Information: The seminar will take place as planned and will consist of three blocks: I) Introduction to the event on April 14, 2 p.m. (via Webex). The topic selection will happen in the subsequent days. For the invitation via Webex, please send your email to akritikos@diw.de or register at Puls. II) Supervision of the course work (discussion of the structure, etc.) throughout the semester, online for as long as necessary. III) Submission of the work at the beginning of July and presentation of the work in blocked form at the end of the semester, either online or in a face-to-face event mid of July. Lerninhalte Innovation Systems, design and relevance: how to support innovation Innovation Indicators: how to measure innovation systems? Where does Germany stand compared to other countries? Research & Patent Strategies Research and Innovation Output, a risky relationship Innovation Output, firm productivity and firm profitability. A strategy that pays for all firms? Knowledge Spill-Over and Economic Development Firm Size and Innovation Regulation and innovation: which regulation hinders innovation, which promotes innovation? vation? Leistungen in Bezug auf das Modul SL 413531 - Vorlesung/Seminar/Fortgeschrittenenübung (unbenotet) 88294 V - Environmental Policy Gruppe Art Tag Zeit Rhythmus Veranstaltungsort 1.Termin Lehrkraft 1 S Mo 14:00 - 16:00 wöch. Online.Veranstalt 19.04.2021 Prof. Dr. Matthias Kalkuhl, Michael Kostmann 1 S N.N. N.N. wöch. N.N. N.N. Prof. Dr. Matthias Kalkuhl, Michael Kostmann 23 Abkürzungen entnehmen Sie bitte Seite 4
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