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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
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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
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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
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Instrumental Variables Estimation of Quantile Treatment Effects
Abadie, Alberto; Angrist, Joshua D.; Imbens, Guido W. - 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
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Estimating and Testing Models with Many Treatment Levels and Limited Instruments
Lochner, Lance - 2011
Many empirical microeconomic studies estimate econometric models that assume a single finite-valued discrete endogenous regressor (for example: different levels of schooling), exogenous regressors that are additively separable and enter the equation linearly; and coefficients (including per-unit...
Persistent link: https://www.econbiz.de/10013125173
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Instrumental Variables and Causal Mechanisms : Unpacking the Effect of Trade on Workers and Voters
Dippel, Christian - 2017
Instrumental variables (IV) are a common means to identify treatment effects. But standard IV methods do not allow us to unpack the complex treatment effects that arise when a treatment and its outcome together cause a second outcome of interest. For example, IV methods have been used to show...
Persistent link: https://www.econbiz.de/10012960515
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The Economics of Exclusion Restrictions in IV Models
Jones, Damon - 2015
We explore a key underlying assumption, the exclusion restriction, commonly used in interpreting IV estimates in the presence of heterogenous treatment effects as a local average treatment effect (LATE). We show through a series of simple examples that in some commonly featured cases that this...
Persistent link: https://www.econbiz.de/10013018725
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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
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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
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How and When to Use the Political Cycle to Identify Advertising Effects
Moshary, Sarah; Shapiro, Bradley; Song, Jihong - 2022
A central challenge in estimating the causal effect of TV advertising on demand is isolating quasi-random variation in advertising. Political advertising, which topped $14 billion in expenditures in 2016, has been proposed as a plausible source of such variation and thus a candidate for an...
Persistent link: https://www.econbiz.de/10013296080