EBookClubs

Read Books & Download eBooks Full Online

EBookClubs

Read Books & Download eBooks Full Online

Book Estimating Derivatives in Nonseparable Models with Limited Dependent Variables

Download or read book Estimating Derivatives in Nonseparable Models with Limited Dependent Variables written by Joseph G. Altonji and published by . This book was released on 2010 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present a simple way to estimate the effects of changes in a vector of observable variables X on a limited dependent variable Y when Y is a general nonseparable function of X and unobservables. We treat models in which Y is censored from above or below or potentially from both. The basic idea is to first estimate the derivative of the conditional mean of Y given X at x with respect to x on the uncensored sample without correcting for the effect of changes in x induced on the censored population. We then correct the derivative for the effects of the selection bias. We propose nonparametric and semiparametric estimators for the derivative. As extensions, we discuss the cases of discrete regressors, measurement error in dependent variables, and endogenous regressors in a cross section and panel data context.

Book Estimating Derivatives in Nonseparable Models with Limited Dependent Variables

Download or read book Estimating Derivatives in Nonseparable Models with Limited Dependent Variables written by Joseph G. Altonji and published by . This book was released on 2008 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: We present a simple way to estimate the effects of changes in a vector of observable variables X on a limited dependent variable Y when Y is a general nonseparable function of X and unobservables. We treat models in which Y is censored from above or below or potentially from both. The basic idea is to first estimate the derivative of the conditional mean of Y given X at x with respect to x on the uncensored sample without correcting for the effect of changes in x induced on the censored population. We then correct the derivative for the effects of the selection bias. We propose nonparametric and semiparametric estimators for the derivative. As extensions, we discuss the cases of discrete regressors, measurement error in dependent variables, and endogenous regressors in a cross section and panel data context.

Book Estimation of Limited dependent Variable Models with Dummy Endogenous Regressors

Download or read book Estimation of Limited dependent Variable Models with Dummy Endogenous Regressors written by Joshua D. Angrist and published by . This book was released on 2000 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied economists have long struggled with the question of how to accommodate binary endogenous regressors in models with binary and non-negative outcomes. I argue here that much of the difficulty with limited-dependent variables comes from a focus on structural parameters, such as index coefficients, instead of causal effects. Once the object of estimation is taken to be the causal effect of treatment, a number of simple strategies is available. These include conventional two-stage least squares, multiplicative models for conditional means, linear approximation of nonlinear causal models, models for distribution effects, and quantile regression with an endogenous binary regressor. The estimation strategies discussed in the paper are illustrated by using multiple births to estimate the effect of childbearing on employment status and hours of work.

Book Mode related Semiparametric Estimation of Censored and Truncated Models

Download or read book Mode related Semiparametric Estimation of Censored and Truncated Models written by Myoung-Jae Lee and published by . This book was released on 1989 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Inference of Limited Dependent Variables Models

Download or read book Inference of Limited Dependent Variables Models written by Jiro Hodoshima and published by . This book was released on 1984 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Two Step Estimation of Panel Data Models with Censored Endogenous Variables and Selection Bias

Download or read book Two Step Estimation of Panel Data Models with Censored Endogenous Variables and Selection Bias written by Francis Vella and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents some two-step estimators for a wide range of parametric panel data models with censored endogenous variables and sample selection bias. Our approach is to derive estimates of the unobserved heterogeneity responsible for the endogeneity/selection bias to include as additional explanatory variables in the primary equation. These are obtained through a decomposition of the reduced form residuals. The panel nature of the data allows adjustment, and testing, for two forms of endogeneity and/or sample selection bias. Furthermore, it incorporates roles for dynamics and state dependence in the reduced form. Finally, we provide an empirical illustration which features our procedure and highlights the ability to test several of the underlying assumptions.

Book Estimation of Simultaneous equations Models with Panel Data and Censored Endogenous Variables

Download or read book Estimation of Simultaneous equations Models with Panel Data and Censored Endogenous Variables written by Fernando Cantú-Bazaldúa and published by . This book was released on 2013 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Estimation of Limited dependent Variable Models with Dummy Endogenous Regressors

Download or read book Estimation of Limited dependent Variable Models with Dummy Endogenous Regressors written by Joshua David Angrist and published by . This book was released on 1999 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Identification and Estimation of Nonseparable Transformation Models With Cross sectional and Panel Data

Download or read book Identification and Estimation of Nonseparable Transformation Models With Cross sectional and Panel Data written by Jiangang Zeng and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: I study nonseparable transformation models with cross-sectional and panel data. An unspecified strictly monotonic (time-varying, if panel data) function transforms the dependent variable, and a nonseparable (time-varying, if panel data) function models the independent variables and the error term. I provide identification results of the transformation and nonseparable functions. Exogenous and endogenous independent variables are considered in the cross-sectional version, and the fixed effects model is considered in the panel data version. Following the identification, I construct nonparametric estimators and show they are consistent and asymptotic normal. Simulation exercises indicate that the estimators perform well in finite samples. I extend the identification and estimation results to the nonseparable models with unspecified transformations on dependent and independent variables.

Book Two step Quantile Estimation of the Censored Regression Model

Download or read book Two step Quantile Estimation of the Censored Regression Model written by James Powell and published by . This book was released on 1986 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: