Identi cation and Identi cation Failure for Treatment E ¤ ects using Structural Systems

We provide necessary and su¢ cient conditions for e¤ect identi…cation, thereby characterizing the limits to identi…cation. Our results link the non-structural potential outcome framework for identifying and estimating treatment e¤ects to structural approaches in economics. This permits economic theory to be built into treatment e¤ect methods. We elucidate the sources and consequences of identi…cation failure by examining the biases arising when the necessary conditions fail, and we clarify the relations between unconfoundedness, conditional exogeneity, and the necessary and su¢ cient identi…cation conditions. A new quantity, the exogeneity score, plays a central role in this analysis, permitting an omitted variable representation for e¤ect biases. This analysis also provides practical guidance for selecting covariates and insight into the price paid for making various identifying assumptions and the bene…ts gained. JEL Classi…cation Numbers: C10, C20, C30, C50.

[1]  T. Haavelmo The Statistical Implications of a System of Simultaneous Equations , 1943 .

[2]  Bryan W. Brown,et al.  THE IDENTIFICATION PROBLEM IN SYSTEMS NONLINEAR IN THE VARIABLES , 1983 .

[3]  Halbert White,et al.  Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning , 2009, J. Mach. Learn. Res..

[4]  Rosa L. Matzkin,et al.  Cross Section and Panel Data Estimators for Nonseparable Models with Endogenous Regressors , 2005 .

[5]  NOTES AND COMMENTS AN IV MODEL OF QUANTILE TREATMENT EFFECTS , 2005 .

[6]  James J Heckman,et al.  Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy , 2010, Journal of economic literature.

[7]  G. Imbens,et al.  Large Sample Properties of Matching Estimators for Average Treatment Effects , 2004 .

[8]  Dudley,et al.  Real Analysis and Probability: Measurability: Borel Isomorphism and Analytic Sets , 2002 .

[9]  Andrés Santos Instrumental variable methods for recovering continuous linear functionals , 2011 .

[10]  Qi Li,et al.  Multivariate local polynomial regression for estimating average derivatives , 2003 .

[11]  R. Rohh ALTERNATIVE METHODS FOR EVALUATING THE IMPACT OF INTERVENTIONS An Overview , 2001 .

[12]  A. Dawid Conditional Independence in Statistical Theory , 1979 .

[13]  Victor Chernozhukov,et al.  Instrumental variable estimation of nonseparable models , 2007 .

[14]  E. Vytlacil Independence, Monotonicity, and Latent Index Models: An Equivalence Result , 2002 .

[15]  Jinyong Hahn,et al.  Functional Restriction and Efficiency in Causal Inference , 2004, Review of Economics and Statistics.

[16]  Xiaotong Shen,et al.  Empirical Likelihood , 2002 .

[17]  G. Imbens,et al.  Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization , 2001, Health Services and Outcomes Research Methodology.

[18]  J. Heckman,et al.  Making the Most out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts , 1997 .

[19]  Thomas M. Stoker Consistent estimation of scaled coefficients , 2011 .

[20]  Yanqin Fan Sharp Bounds on the Distribution of the Treatment E ¤ ects and Their Statistical Inference , 2006 .

[21]  Andrew Chesher,et al.  Nonparametric Identification under Discrete Variation , 2003 .

[22]  Xiaohong Chen Chapter 76 Large Sample Sieve Estimation of Semi-Nonparametric Models , 2007 .

[23]  N. Fortin,et al.  Unconditional Quantile Regressions , 2007 .

[24]  Petra E. Todd,et al.  Matching As An Econometric Evaluation Estimator , 1998 .

[25]  H. White,et al.  Testing a conditional form of exogeneity , 2010 .

[26]  Guido W. Imbens,et al.  The Interpretation of Instrumental Variables Estimators in Simultaneous Equations Models with an Application to the Demand for Fish , 2000 .

[27]  Halbert White,et al.  Causal Diagrams for Treatment Effect Estimation with Application to Efficient Covariate Selection , 2011, Review of Economics and Statistics.

[28]  Xiaohong Chen,et al.  Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions , 2003 .

[29]  Giuseppe Ragusa Minimum Divergence, Generalized Empirical Likelihoods, and Higher Order Expansions , 2011 .

[30]  Halbert White Estimation, Inference and Specification Analysis: Applications of m-Testing , 1994 .

[31]  Stefan Hoderlein How many consumers are rational , 2009 .

[32]  R. H. Strotz,et al.  RECURSIVE VS. NONRECURSIVE SYSTEMS: AN ATTEMPT AT SYNTHESIS (PART I OF A TRIPTYCH ON CAUSAL CHAIN SYSTEMS) , 1960 .

[33]  Burt S. Barnow,et al.  Issues in the Analysis of Selectivity Bias. Discussion Papers. Revised. , 1980 .

[34]  Susanne M. Schennach,et al.  Local indirect least squares and average marginal effects in nonseparable structural systems , 2012 .

[35]  D. Rubin,et al.  The central role of the propensity score in observational studies for causal effects , 1983 .

[36]  L. Hansen Large Sample Properties of Generalized Method of Moments Estimators , 1982 .

[37]  Susanne M. Schennach,et al.  Accompanying document to "Point Estimation with Exponentially Tilted Empirical Likelihood" , 2005, math/0512181.

[38]  G. Imbens,et al.  The Propensity Score with Continuous Treatments , 2005 .