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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 …

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

Panel Data Estimates of the Production Function and Product and Labor Market Imperfections

Dobbelaere, Sabien - 2010

Consistent with two models of imperfect competition in the labor market, the efficient bargaining model and the monopsony model, we provide two extensions of a microeconomic version of Hall's framework for estimating price-cost margins. We show that both product and labor market imperfections...

Persistent link: https://www.econbiz.de/10013138258

Regulation and UK Retailing Productivity : Evidence from Micro Data

Haskel, Jonathan - 2012

We use UK micro data to explore whether planning regulation reduced UK retailing productivity growth between 1997 and … which increased the costs of opening large stores. This might have caused a slowdown in productivity growth if firms (a … productivity works out at about pound;80,000 per small chain supermarket store …

Persistent link: https://www.econbiz.de/10012754887

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

Semiparametric Selection Models with Binary Outcomes

Klein, Roger W. - 2011

This paper addresses the estimation of a semiparametric sample selection index model where both the selection rule and the outcome variable are binary. Since the marginal effects are often of primary interest and are difficult to recover in a semiparametric setting, we develop estimators for...

Persistent link: https://www.econbiz.de/10013119547

Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment

Henderson, Daniel J. - 2012

This paper offers some new directions in the analysis of nonparamertric models with exogenous treatment assignment. The nonparametric approach opens the door to the examination of potentially different distributed outcomes. When combined with cross-validation, it also identifies potentially...

Persistent link: https://www.econbiz.de/10013099687

Estimating a Class of Triangular Simultaneous Equations Models Without Exclusion Restrictions

Klein, Roger W. - 2006

This paper provides a control function estimator to adjust for endogeneity in the triangular simultaneous equations model where there are no available exclusion restrictions to generate suitable instruments. Our approach is to exploit the dependence of the errors on exogenous variables (e.g....

Persistent link: https://www.econbiz.de/10012779171

Testing Exclusion Restrictions at Infinity in the Semiparametric Selection Model

Crepon, Bruno - 2006

The control function in the semiparametric selection model is zero at infinity. This paper proposes additional restrictions of the same type and shows how to use them to test assumed exclusion restrictions necessary for root N estimation of the model. The test is based on the estimated control...

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

Regression Discontinuity Design with Continuous Measurement Error in the Running Variable

Davezies, Laurent - 2017

Since the late 90s, Regression Discontinuity (RD) designs have been widely used to estimate Local Average Treatment Effects (LATE). When the running variable is observed with continuous measurement error, identification fails. Assuming non-differential measurement error, we propose a consistent...

Persistent link: https://www.econbiz.de/10012955015

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

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