Poslední úprava: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (13.02.2023)
- Are you writing or plan to write an applied Master's thesis using cross-sectional data?
- Do you know that correlation does not imply causation, but do not know how to identify causality?
- Do you like connecting Econometrics and economic theory?
During the Applied Microeconometrics course you will learn how to let the data talk and will get familiar with several econometric methods useful for estimating causal effects of individuals', firms' or states' decisions. For example:
"Did the marketing campaign increase firm's profits?... or was it just implemented at the time when firm's profits were rising?"
"What was the effect of introducing joint taxation of married couples?"
"Did limitation of cigarettes advertising lead to less smoking?... or would the incidence of smoking fall even without this policy?
"Do incumbent politicians have an advantage over runner-ups?... or voters chose them in previous elections and will choose them again simply because they are better?
"Does studying at a high quality college lead to higher earnings?... or is it just that students from richer families can afford better colleges?"
Poslední úprava: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (13.02.2023)
- Are you writing or plan to write an applied Master's thesis using cross-sectional data?
- Do you know that correlation does not imply causation, but do not know how to identify causality?
- Do you like connecting Econometrics and economic theory?
During the Applied Microeconometrics course you will learn how to let the data talk and will get familiar with several econometric methods useful for estimating causal effects of individuals', firms' or states' decisions. For example:
"Did the marketing campaign increase firm's profits?... or was it just implemented at the time when firm's profits were rising?"
"What was the effect of introducing joint taxation of married couples?"
"Did limitation of cigarettes advertising lead to less smoking?... or would the incidence of smoking fall even without this policy?
"Do incumbent politicians have an advantage over runner-ups?... or voters chose them in previous elections and will choose them again simply because they are better?
"Does studying at a high quality college lead to higher earnings?... or is it just that students from richer families can afford better colleges?"
Podmínky zakončení předmětu -
Poslední úprava: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (13.02.2023)
To pass the course students need to:
• Critically summarize one research topic (30 points) detailed setup will be announced in mid March, with deadline 14 days later generally, the task will be to write a review of a specific research paper
• Complete a home assignment (30 points) detailed setup will be announced in mid April, with the deadline 14 days later generally, the task will be to replicate an empirical research using available data
• Complete an Econometric Game - a project-based final exam (40 points) This is a take-home exam designed in a form of a short research preject. The setup will be anounced early May and students will present the outcome of their analysis during the last week of classes. Final projects in written form will be due by the end of May.
Poslední úprava: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (13.02.2023)
To pass the course students need to:
• Critically summarize one research topic (30 points) detailed setup will be announced in mid March, with deadline 14 days later generally, the task will be to write a review of a specific research paper
• Complete a home assignment (30 points) detailed setup will be announced in mid April, with the deadline 14 days later generally, the task will be to replicate an empirical research using available data
• Complete an Econometric Game - a project-based final exam (40 points) This is a take-home exam designed in a form of a short research preject. The setup will be anounced early May and students will present the outcome of their analysis during the last week of classes. Final projects in written form will be due by the end of May.
Literatura -
Poslední úprava: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (13.02.2023)
Main inspiration:
Abadie, A., & Cattaneo, M. D. (2018). Econometric methods for program evaluation. Annual Review of Economics, 10, 465-503.
Readings for individual lectures:
1. Lewis, R. A., & Reiley , D. H. (2014). Online ads and offline sales: measuring the effect of retail advertising via a controlled experiment on Yahoo!. Quantitative Marketing and Economics 12 (3), 235 266. field experiment, different methods of analyzing experimental data
2. Kalíšková, K. (2014). Labor supply consequences of family taxation: Evidence from the Czech Republic. Labour Economics, 30, 234-244. difference-in-differences and triple difference analysis using a natural experiment
3. Bertrand, M., Duflo, E., & Mullainathan, S. (2004). How much should we trust differences-in-differences estimates?. The Quarterly journal of economics, 119(1), 249-275. difference-in-differences estimation
4. Donald, S. G., & Lang, K. (2007). Inference with difference-in-differences and other panel data. The review of Economics and Statistics, 89(2), 221-233. difference-in-differences estimation and other cases with multi-level data
5. Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic control methods for comparative case studies: Estimating the effect of California’s tobacco control program. Journal of the American statistical Association, 105(490), 493-505. synthetic control method
6. Priebe, J. (2020). Quasi-experimental evidence for the causal link between fertility and subjective well-being. Journal of Population Economics, 33(3), 839-882. instrument, estimating local average treatment effect (LATE)
7. Lee, D. S., & Lemieux, T. (2010). Regression discontinuity designs in economics. Journal of economic literature, 48(2), 281-355. regression discontinuity designs
8. Lee, D. S. (2008). Randomized experiments from non-random selection in US House elections. Journal of Econometrics, 142(2), 675-697. sharp regression discontinuity design (sharp RDD)
9. De Paola, M., & Scoppa, V. (2014). The effectiveness of remedial courses in Italy: a fuzzy regression discontinuity design. Journal of Population Economics, 27, 365-386. fuzzy regression discontinuity design (fuzzy RDD)
10. Black, D. A., & Smith, J. A. (2004). How robust is the evidence on the effects of college quality? Evidence from matching. Journal of econometrics, 121(1-2), 99-124. matching estimator and its comparison to OLS
Poslední úprava: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (13.02.2023)
Main inspiration:
Abadie, A., & Cattaneo, M. D. (2018). Econometric methods for program evaluation. Annual Review of Economics, 10, 465-503.
Readings for individual lectures:
1. Lewis, R. A., & Reiley , D. H. (2014). Online ads and offline sales: measuring the effect of retail advertising via a controlled experiment on Yahoo!. Quantitative Marketing and Economics 12 (3), 235 266. field experiment, different methods of analyzing experimental data
2. Kalíšková, K. (2014). Labor supply consequences of family taxation: Evidence from the Czech Republic. Labour Economics, 30, 234-244. difference-in-differences and triple difference analysis using a natural experiment
3. Bertrand, M., Duflo, E., & Mullainathan, S. (2004). How much should we trust differences-in-differences estimates?. The Quarterly journal of economics, 119(1), 249-275. difference-in-differences estimation
4. Donald, S. G., & Lang, K. (2007). Inference with difference-in-differences and other panel data. The review of Economics and Statistics, 89(2), 221-233. difference-in-differences estimation and other cases with multi-level data
5. Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic control methods for comparative case studies: Estimating the effect of California’s tobacco control program. Journal of the American statistical Association, 105(490), 493-505. synthetic control method
6. Priebe, J. (2020). Quasi-experimental evidence for the causal link between fertility and subjective well-being. Journal of Population Economics, 33(3), 839-882. instrument, estimating local average treatment effect (LATE)
7. Lee, D. S., & Lemieux, T. (2010). Regression discontinuity designs in economics. Journal of economic literature, 48(2), 281-355. regression discontinuity designs
8. Lee, D. S. (2008). Randomized experiments from non-random selection in US House elections. Journal of Econometrics, 142(2), 675-697. sharp regression discontinuity design (sharp RDD)
9. De Paola, M., & Scoppa, V. (2014). The effectiveness of remedial courses in Italy: a fuzzy regression discontinuity design. Journal of Population Economics, 27, 365-386. fuzzy regression discontinuity design (fuzzy RDD)
10. Black, D. A., & Smith, J. A. (2004). How robust is the evidence on the effects of college quality? Evidence from matching. Journal of econometrics, 121(1-2), 99-124. matching estimator and its comparison to OLS
Sylabus -
Poslední úprava: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (13.02.2023)
Lecture 1 (Tuesday, February 14, 12:30) - Introduction to the course, example of an empirical analysis inspired by one research paper
Lecture 2 (Tuesday, February 21, 12:30) – Microeconometric analysis - data sources, usual empirical problems, introduction to identification strategies
Seminar 1 (Thursday, February 22, 15:30) - Introduction to Stata
Lecture 3 (Tuesday, February 28, 12:30) - Controlled experiments
Lecture 4 (Tuesday, March 7, 15:30) - Natural experiments I - difference-in-differences estimation
Seminar 2 (Thursday, March 9, 15:30) - Applying difference-in-differences in practice
Lecture 5 (Tuesday, March 14, 12:30) - Difference-in-differences continued - triple difference, robustness
Lecture 6 (Tuesday, March 21, 12:30) - Synthetic control function
Seminar 3 (Thursday, March 23, 15:30) - Applying synthetic control function in practice
Lecture 7 (Tuesday, March 28, 12:30) - Natural experiments II - natural experiments as instruments
Seminar 4 (Thursday, March 30, 15:30) - instrumental variable estimation in Stata, checking quality of instruments
Lecture 8 (Tuesday, April 4, 12:30) - Further issues with instrumental variable estimation
