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CT_2021_NBER
★ 17
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CT_2021_NBER
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# RD Tutorial (2021, NBER Summer Institute Methods Lectures) This work was supported in part by the National Science Foundation through grant [SES-2019432](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019432). ## Website https://rdpackages.github.io/replication ## Empirical Application: Head Start Data - Source: Ludwig and Miller (2007): [Does Head Start Improve Children’s Life Chances? Evidence from a Regression Discontinuity Design](https://doi.org/10.1162/qjec.122.1.159), _Quarterly Journal of Economics_ 122(1): 159-208. - Python implementation: [csv](headstart.csv) | [main](CT_2021_NBER.py) - R implementation: [csv](headstart.csv) | [main](CT_2021_NBER.R) - Stata implementation: [dta](headstart.dta) | [main](CT_2021_NBER.do) ## Reference - Slides: [pdf](CT_2021_NBER.pdf). - Video: [https://www.nber.org/conferences/si-2021-methods-lecture-causal-inference-using-synthetic-controls-and-regression-discontinuity](https://www.nber.org/conferences/si-2021-methods-lecture-causal-inference-using-synthetic-controls-and-regression-discontinuity) <br><br>
