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31952-01 - Lecture: Microeconometrics: Panel Data and Multinomial Choice 3 CP

Semester spring semester 2022
Course frequency Every spring sem.
Lecturers Kurt Schmidheiny (kurt.schmidheiny@unibas.ch, Assessor)
Content Outline:
1. Basic Panel Data Models: RE and FE
2. Generalized Method of Moments
3. Dynamic Panel Data Models: Anderson-Hsiao, Arrelano-Bond, system GMM
4. Nonlinear Panel Data Models: logit and Poisson
5. Multinomial Choice: conditional logit, multinomial logit, nested logit, mixed logit, multinomial probit
Learning objectives This course discusses advanced tools for the econometric analysiss of cross-section and panel data. Each of the tools will be implemented using standard statistical software (Stata or R) and real world data. Students will learn how to choose the adequate statistical method, discuss its identifying assumptions, correctly interpret its results and to translate them into economically meaningful answers.
Bibliography Readings:
- Cameron, A. Colin and Pravin K. Trivedi (2005), Microeconometrics: Methods and Applications, Cambridge University Press
- Wooldridge, Jeffrey M. (2002), Econometric Analysis of Cross Section and Panel Data, MIT Press.
Comments The course will be taught "in class".
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Admission requirements Prerequisites:
12036 Econometrics, 41957 Fundamentals of Econometric Theory
Course application Registration: Please enrol in MOnA. EUCOR-Students and students of other Swiss Universities have to enrol at the students administration office (studseksupport1@unibas.ch) within the official enrolment period. Enrolment = Registration for the exam!
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Tuesday 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S13 HG.35
Comments The course will be taught "in class".

Dates

Date Time Room
Tuesday 22.02.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S13 HG.35
Tuesday 01.03.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S14 HG.32
Tuesday 08.03.2022 10.15-12.00 Fasnachtsferien
Tuesday 15.03.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S14 HG.32
Tuesday 22.03.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S13 HG.35
Tuesday 29.03.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S13 HG.35
Tuesday 05.04.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S13 HG.35
Tuesday 12.04.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S14 HG.32
Tuesday 19.04.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S13 HG.35
Tuesday 26.04.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S13 HG.35
Tuesday 03.05.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S14 HG.32
Tuesday 10.05.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S14 HG.32
Tuesday 17.05.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S14 HG.32
Tuesday 24.05.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S13 HG.35
Tuesday 31.05.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S14 HG.32
Tuesday 07.06.2022 10.15-12.00 Wirtschaftswissenschaftliche Fakultät, Seminarraum S14 HG.32
Modules Module: Field Electives in Economics and Public Policy (Master's Studies: Economics and Public Policy)
Module: Specific Electives in Data Science and Computational Economics (Master's Studies: Business and Economics)
Module: Statistics and Computational Science (Master's Studies: Actuarial Science)
Specialization Module: Areas of Specialization in International and/or Monetary Economics (Master's Studies: International and Monetary Economics)
Specialization Module: Quantitative Methods (Master's Studies: Business and Economics (Start of studies before 01.08.2021))
Assessment format record of achievement
Assessment details written exam: tba
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale 1-6 0,1
Repeated registration as often as necessary
Responsible faculty Faculty of Business and Economics , studiendekanat-wwz@unibas.ch
Offered by Faculty of Business and Economics

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