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Comparing IV with structural models: what simple IV can and cannot identify

Heckman, James Joseph; Urzúa, Sergio - 2009

This paper compares the economic questions addressed by instrumental variables estimators with those addressed by structural approaches. We discuss Marschak's Maxim: estimators should be selected on the basis of their ability to answer well-posed economic problems with minimal assumptions. A key...

Persistent link: https://www.econbiz.de/10010274254

A comparison of bias approximations for the 2SLS estimator

Bun, Maurice J. G.; Windmeijer, Frank - 2010

We consider the bias of the 2SLS estimator in the linear instrumental vari-ables regression with one endogenous … regressor only. By using asymptotic expansion techniques we approximate 2SLS coefficient estimation bias under various scenarios … regarding the number and strength of instruments.The resulting approximation encompasses existing bias approximations, which are …

Persistent link: https://www.econbiz.de/10010288373

Asymptotic Normality of Single-Equation Estimators for the Case with a Large Number of Weak Instruments

Swanson, Norman R.; Chao, John C. - 2003

This paper analyzes conditions under which various single-equation estimators are asymptotically normal in a simultaneous equations framework with many weak instruments. In particular, our paper adds to the many instruments asymptotic normality literature, including papers by Morimune (1983),...

Persistent link: https://www.econbiz.de/10010263213

How much should we trust linear instrumental variables estimators? An application to family size and children's education

Mogstad, Magne; Wiswall, Matthew - 2009

variable (IV) estimation. We show that tests for treatment effects, selection bias, and treatment effect heterogeneity are …

Persistent link: https://www.econbiz.de/10010269608

Consistent Estimation with a Large Number of Weak Instruments

Chao, John C.; Swanson, Norman R. - 2004

This paper analyzes the conditions under which consistent estimation can be achieved in instrumental Variables (IV) regression when the available instruments are weak, in the local-to-zero sense of Staiger and Stock (1997) and using the many-instrument framework of Morimune (1983) and Bekker...

Persistent link: https://www.econbiz.de/10010276817

Testing overidentifying restrictions with many instruments and heteroskedasticity

Chao, John C.; Hausman, Jerry A.; Newey, Whitney K.; … - 2011

This paper gives a test of overidentifying restrictions that is robust to many instruments and heteroskedasticity. It is based on a jackknife version of the Sargan test statistic, having a numerator that is the objective function minimized by the JIVE2 estimator of Angrist, Imbens, and Krueger...

Persistent link: https://www.econbiz.de/10010282842

Asymptotic distribution of JIVE in a heteroskedastic IV regression with many instruments

Chao, John C.; Swanson, Norman R.; Hausman, Jerry A.; … - 2011

This paper derives the limiting distributions of alternative jackknife IV (JIV) estimators and gives formulae for accompanying consistent standard errors in the presence of heteroskedasticity and many instruments. The asymptotic framework includes the many instrument sequence of Bekker (1994)...

Persistent link: https://www.econbiz.de/10010282856

Alternative Approximations of the Bias and MSE of the IV Estimator Under Weak Identification With an Application to Bias Correction

Chao, John C.; Swanson, Norman R. - 2003

We provide analytical formulae for the asymptotic bias (ABIAS) and mean squared error (AMSE) of the IV estimator, and … construct a number of bias corrected OLS and IV estimators, which we show to be consistent under a sequential asymptotic scheme …. These bias-corrected estimators are also robust, in the sense that they remain consistent in a conventional asymptotic setup …

Persistent link: https://www.econbiz.de/10010271942

Treatment Effect Heterogeneity in Theory and Practice

Angrist, Joshua D. - 2003

Instrumental Variables (IV) methods identify internally valid causal effects for individuals whose treatment status is manipulable by the instrument at hand. Inference for other populations requires homogeneity assumptions. This paper outlines a theoretical framework that nests causal...

Persistent link: https://www.econbiz.de/10010261579

Tests of hypotheses arising in the correlated random coefficient model

Heckman, James J.; Schmierer, Daniel - 2010

This paper examines the correlated random coefficient model. It extends the analysis of Swamy (1971, 1974), who pioneered the uncorrelated random coefficient model in economics. We develop the properties of the correlated random coefficient model and derive a new representation of the variance...

Persistent link: https://www.econbiz.de/10010274693