Bounding a linear causal effect using relative correlation restrictions
This paper describes and implements a simple approach to the most common problem in applied microeconometrics: estimating a linear causal effct when the explanatory variable of interest might be correlated with relevant unobserved variables. The main idea is to place restrictions on the correlation between the variable of interest and relevant unobserved variables relative to the correlation between the variable of interest and observed control variables. These relative correlation restrictions allow a researcher to construct informative bounds on parameter estimates, and to assess the sensitivity of conventional estimates to plausible deviations from the identifying assumptions. The estimation method and its properties are described, and two empirical applications are demonstrated.
|Date of creation:||Aug 2011|
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- Jörg Stoye, 2008.
"More on confidence intervals for partially identified parameters,"
CeMMAP working papers
CWP11/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jorg Stoye, 2009. "More on Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 77(4), pages 1299-1315, 07.
- Alan B. Krueger, 1999.
"Experimental Estimates of Education Production Functions,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 114(2), pages 497-532.
- Alan B. Krueger, 1997. "Experimental Estimates of Education Production Functions," NBER Working Papers 6051, National Bureau of Economic Research, Inc.
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2000.
"Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools,"
NBER Working Papers
7831, National Bureau of Economic Research, Inc.
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
- Arthur Lewbel, 2003.
"Using Heteroskedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models,"
Boston College Working Papers in Economics
587, Boston College Department of Economics, revised 15 Dec 2010.
- Arthur Lewbel, 2010. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80, December.
- Jennifer M. Mellor & Jeffrey Milyo, 2002.
"Income Inequality and Health Status in the United States: Evidence from the Current Population Survey,"
Journal of Human Resources,
University of Wisconsin Press, vol. 37(3), pages 510-539.
- Jennifer Mellor & Jeffrey Milyo, 1998. "Income Inequality and Health Status in the United States: Evidence From the Current Population Survey," Discussion Papers Series, Department of Economics, Tufts University 9815, Department of Economics, Tufts University.
- Aviv Nevo & Adam M. Rosen, 2008.
"Identification with Imperfect Instruments,"
NBER Working Papers
14434, National Bureau of Economic Research, Inc.
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