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Treatment Effect Heterogeneity in Theory and Practice

Angrist, Joshua D. - 2021

economic and marital outcomes for mothers with two or more children. The application is motivated by welfare reform, which … penalizes further childbearing by welfare mothers on the grounds that more children make continued poverty and welfare receipt … consequence of additional childbearing, but evidence on the impact of childbearing on marital stability and welfare use is more …

Persistent link: https://www.econbiz.de/10013219964

Local Instruments, Global Extrapolation : External Validity of the Labor Supply-Fertility Local Average Treatment Effect

Bisbee, James - 2015

We investigate whether local average treatment effects (LATE's) can be extrapolated to new settings. We extend the analysis and framework of Dehejia, Pop-Eleches, and Samii (2015), which examines the external validity of the Angrist-Evans (1998) reduced-form natural experiment of having two...

Persistent link: https://www.econbiz.de/10013013180

Estimating the Impacts of Program Benefits : Using Instrumental Variables with Underreported and Imputed Data

Stephens, Melvin - 2015

Survey non-response has risen in recent years which has increased the share of imputed and underreported values found on commonly used datasets. While this trend has been well-documented for earnings, the growth in non-response to government transfers questions has received far less attention....

Persistent link: https://www.econbiz.de/10013021468

Instrumental Variables Estimation of Quantile Treatment Effects

Abadie, Alberto; Angrist, Joshua D.; Imbens, Guido - 2021

This paper introduces an instrumental variables estimator for the effect of a binary treatment on the quantiles of potential outcomes. The quantile treatment effects (QTE) estimator accommodates exogenous covariates and reduces to quantile regression as a special case when treatment status is...

Persistent link: https://www.econbiz.de/10013215680

The Causal Interpretation of Two-Stage Least Squares with Multiple Instrumental Variables

Mogstad, Magne - 2019

Empirical researchers often combine multiple instrumental variables (IVs) for a single treatment using two-stage least squares (2SLS). When treatment effects are heterogeneous, a common justification for including multiple IVs is that the 2SLS estimand can be given a causal interpretation as a...

Persistent link: https://www.econbiz.de/10012889954

Semiparametric Estimation of Instrumental Variable Models for Causal Effects

Abadie, Alberto - 2021

This article introduces a new class of instrumental variable (IV) estimators of causal treatment effects for linear and nonlinear models with covariates. The rationale for focusing on nonlinear models is to improve the approximation to the causal response function of interest. For example, if...

Persistent link: https://www.econbiz.de/10013239198

Instrumental Variables, Selection Models, and Tight Bounds on the Average Treatment Effect

Heckman, James J.; Vytlacil, Edward - 2021

This paper exposits and relates two distinct approaches to bounding the average treatment effect. One approach, based on instrumental variables, is due to Manski (1990, 1994), who derives tight bounds on the average treatment effect under a mean independence form of the instrumental variables...

Persistent link: https://www.econbiz.de/10013239385

On Heckits, Late, and Numerical Equivalence

Kline, Patrick - 2018

Structural econometric methods are often criticized for being sensitive to functional form assumptions. We study parametric estimators of the local average treatment effect (LATE) derived from a widely used class of latent threshold crossing models and show they yield LATE estimates...

Persistent link: https://www.econbiz.de/10012922224

The Effects of Private Insurance on Measures of Health : Evidence from the Health and Retirement Study

Dor, Avi; Sudano, Joseph J.; Baker, David W. - 2021

In this paper we investigate whether the presence of private insurance leads to improved health status. Using the Health and Retirement study we focus on adults in late middle age who are nearing entry into Medicare. Estimation addresses endogeneity of the insurance participation decision in...

Persistent link: https://www.econbiz.de/10013212565

IV Quantile Regression for Group-Level Treatments, with an Application to the Distributional Effects of Trade

Chetverikov, Denis - 2015

We present a methodology for estimating the distributional effects of an endogenous treatment that varies at the group level when there are group-level unobservables, a quantile extension of Hausman and Taylor (1981). Because of the presence of group-level unobservables, standard quantile...

Persistent link: https://www.econbiz.de/10013025812