Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models
American Bar Foundation · University of Chicago
Abstract
This paper investigates four topics. (1) It examines the different roles played by the propensity score (the probability of selection into treatment) in matching, instrumental variable, and control function methods. (2) It contrasts the roles of exclusion restrictions in matching and selection models. (3) It characterizes the sensitivity of matching to the choice of conditioning variables and demonstrates the greater robustness of control function methods to misspecification of the conditioning variables. (4) It demonstrates the problem of choosing the conditioning variables in matching and the failure of conventional model selection criteria when candidate conditioning variables are not exogenous in a sense…
Citation impact
- FWCI
- 33.40
- Percentile
- 100%
- References
- 67
Authors
2Topics & keywords
- Instrumental variable
- Matching (statistics)
- Conditioning
- Econometrics
- Robustness (evolution)
- Propensity score matching
- Control function
- Selection (genetic algorithm)
- Reduced inequalities