Understanding Instrumental Variables in Models with Essential Heterogeneity
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- 1 August 2006
- journal article
- Published by MIT Press in The Review of Economics and Statistics
- Vol. 88 (3) , 389-432
- https://doi.org/10.1162/rest.88.3.389
Abstract
This paper examines the properties of instrumental variables (IV) applied to models with essential heterogeneity, that is, models where responses to interventions are heterogeneous and agents adopt treatments (participate in programs) with at least partial knowledge of their idiosyncratic response. We analyze two-outcome and multiple-outcome models, including ordered and unordered choice models. We allow for transition-specific and general instruments. We generalize previous analyses by developing weights for treatment effects for general instruments. We develop a simple test for the presence of essential heterogeneity. We note the asymmetry of the model of essential heterogeneity: outcomes of choices are heterogeneous in a general way; choices are not. When both choices and outcomes are permitted to be symmetrically heterogeneous, the method of IV breaks down for estimating treatment parameters. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.Keywords
This publication has 35 references indexed in Scilit:
- Separating uncertainty from heterogeneity in life cycle earningsOxford Economic Papers, 2004
- 2001 Lawrence R. Klein Lecture Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College Choice*International Economic Review, 2003
- Mobility and the Return to Education: Testing a Roy Model with Multiple MarketsEconometrica, 2002
- Estimating the Return to Schooling: Progress on Some Persistent Econometric ProblemsEconometrica, 2001
- Life Cycle Schooling and Dynamic Selection Bias: Models and Evidence for Five Cohorts of American MalesJournal of Political Economy, 1998
- Identification of Causal Effects Using Instrumental VariablesJournal of the American Statistical Association, 1996
- Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment IntensityJournal of the American Statistical Association, 1995
- Semiparametric estimation of censored selection models with a nonparametric selection mechanismJournal of Econometrics, 1993
- Competition and Collusion in the American Automobile Industry: The 1955 Price WarJournal of Industrial Economics, 1987
- Errors in VariablesRevue de l'Institut International de Statistique / Review of the International Statistical Institute, 1954