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Additive Kernel Estimates of Returns to Schooling

Ozabaci, Deniz - 2014

In this paper, we employ a partially linear nonparametric additive regression estimator, with recent U.S. Current Population Survey data, to analyze returns to schooling. Similar to previous research, we find that blacks and Hispanics have higher rates of return on average. However, for married...

Persistent link: https://www.econbiz.de/10013039569

Estimation of Productivity in Korean Electric Power Plants : A Semiparametric Smooth Coefficient Model

Heshmati, Almas - 2013

This paper analyzes the impact of load factor, facility and generator types on the productivity of Korean electric power plants. In order to capture important differences in the effect of load policy on power output, we use a semiparametric smooth coefficient (SPSC) model that allows us to model...

Persistent link: https://www.econbiz.de/10013084669

Semiparametric Estimation and Inference Using Doubly Robust Moment Conditions

Rothe, Christoph - 2013

semiparametric estimation and inference are traditionally believed to be unreliable. We also illustrate the practical relevance of …

Persistent link: https://www.econbiz.de/10013076810

Testing Exclusion Restrictions at Infinity in the Semiparametric Selection Model

Crépon, Bruno - 2006

restrictions of the same type and shows how to use them to test assumed exclusion restrictions necessary for root N estimation of … occurs at infinity. Alternative estimation of the parameters are proposed which do not rely on exclusion restrictions …, extending available results for the estimation of the intercept at infinity. Simulations are implemented …

Persistent link: https://www.econbiz.de/10012780456

Nonseparable Sample Selection Models with Censored Selection Rules : An Application to Wage Decompositions

Fernández‐Val, Iván - 2018

We consider identification and estimation of nonseparable sample selection models with censored selection rules. We … conditions under which these objects are appropriate for the total population. We also present results regarding the estimation … strategies for estimation. We also provide the associated asymptotic theory. These strategies are illustrated in an empirical …

Persistent link: https://www.econbiz.de/10012928503

Endogeneity and Non-Response Bias in Treatment Evaluation : Nonparametric Identification of Causal Effects by Instruments

Fricke, Hans - 2015

This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the treatment and a continuous instrument for...

Persistent link: https://www.econbiz.de/10013013571

Treatment Evaluation with Multiple Outcome Periods Under Endogeneity and Attrition

Frölich, Markus - 2014

This paper develops a nonparametric methodology for treatment evaluation with multiple outcome periods under treatment endogeneity and missing outcomes. We use instrumental variables, pre-treatment characteristics, and short-term (or intermediate) outcomes to identify the average treatment...

Persistent link: https://www.econbiz.de/10013057921

Nonparametric Instrumental Variable Methods for Dynamic Treatment Evaluation

van den Berg, Gerard J. - 2016

We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard …

Persistent link: https://www.econbiz.de/10012997421

An Introduction to Nonparametric Regression for Labor Economists

Henderson, Daniel J. - 2018

In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in labor economic applications. We focus our attention on issues commonly found in the labor literature such as how to account for endogeneity via instrumental variables in a...

Persistent link: https://www.econbiz.de/10012907832

Semiparametric Estimation with Generated Covariates

Mammen, Enno - 2011

In this paper, we study a general class of semiparametric optimization estimators of a vector-valued parameter. The criterion function depends on two types of infinite-dimensional nuisance parameters: a conditional expectation function that has been estimated nonparametrically using generated...

Persistent link: https://www.econbiz.de/10013118530