Module 2

Causal Inference with STATA

Topics

Materials and Codes

1st Session

(7/23, 14:00~15:30)

Replication Project (1) Randomized Experiment

  • Slide download (pdf / ppt)
  • Material download (zip)
  • Bloom, N., Liang, J., Roberts, J. and Ying, Z.J., 2015. Does Working from Home Work? Evidence from a Chinese Experiment. Quarterly Journal of Economics, 130(1), pp.165-218. (The dataset is modified by the instructor for the goal of STATA hands-on. Original data is obtained from the authors; See LINK for details.)

2nd Session

(7/26, 14:00~15:30)

Replication Project (2) Quasi-Experiment (Difference-in-Differences)

  • Slide download (pdf / ppt)
  • Material download (zip)
  • Greenwood, B.N. and Wattal, S., 2017. Show Me the Way to Go Home: An Empirical Investigation of Ride-Sharing and Alcohol Related Motor Vehicle Fatalities. MIS Quarterly, 41(1), pp.163-187. (The dataset is collected by the instructor for the goal of STATA hands-on; Note that any results using this data are not necessarily responsible to the authors of this paper.)

3rd Session

(7/30, 14:00~15:30)

Replication Project (3) Instrument Variable Approach

  • Slide download (pdf / ppt)
  • Material download (zip)
  • Acemoglu, D. and Johnson, S., 2005. Unbundling Institutions. Journal of Political Economy, 113(5), pp.949-995. (The dataset is obtained from the authors; See LINK for details.)
  • Park, J., Han, K. and Lee, B., 2018. An Empirical Analysis of Cloud Computing and Energy Efficiency: A Stochastic Frontier Approach. KAIST Working Paper. (download)

4th Session

(8/2, 14:00~15:30)

Advanced STATA Programming

  • Slide download (pdf / ppt)
  • Material download (zip)
  • Evans, W.N., Sullivan, J.X. and Wallskog, M., 2016. The Impact of Homelessness Prevention Programs on Homelessness. Science, 353(6300), pp.694-699. (The dataset is obtained from the authors, See LINK for details.)


(If you need more examples of STATA programming, please refer the following workshop materials)

  • Basic STATA Programming (Hendrik van Broekhuizen, Stellenbosch University) (Slide) (Materials)