Regression Discontinuity Designs In Economics
Abstract
This paper provides an introduction and "user guide" to Regression Discontinuity (RD) designs for empirical researchers. It presents the basic theory behind the research design, details when RD is likely to be valid or invalid given economic incentives, explains why it is considered a "quasi-experimental" design, and summarizes different ways (with their advantages and disadvantages) of estimating RD designs and the limitations of interpreting these estimates. Concepts are discussed using using examples drawn from the growing body of empirical research using RD.Download Info
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Paper provided by Princeton University, Department of Economics, Industrial Relations Section. in its series Working Papers with number 1118.Length:
Date of creation: Feb 2009
Date of revision:
Handle: RePEc:pri:indrel:1118
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Keywords: Regression Discontinuity; research design; incentives;Other versions of this item:
- David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
- David S. Lee & Thomas Lemieux, 2009. "Regression Discontinuity Designs in Economics," NBER Working Papers 14723, National Bureau of Economic Research, Inc.
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
- H30 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-02-28 (All new papers)
- NEP-ECM-2009-02-28 (Econometrics)
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by Liam Delaney in Geary Behaviour Centre on 2009-05-20 06:13:00
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