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...

We introduce a novel approach to modeling the impact of institutional quality on firm performance. Our methodology enables us to estimate the marginal effect of institutional quality on TFP, factor inputs and output of each firm, which gives us within-country distributions of these effects and...

Using a novel modeling approach, and cross-country firm level data for the textiles industry, we examine the impact of institutional quality on firm performance. Our methodology allows us to estimate the marginal impact of institutional quality on productivity of each firm. Our results bring...

This paper analyzes the performance of Mexican manufacturing firms following trade liberalization within a very specific institutional setting: The North American Free-Trade Agreement (NAFTA). We compare plants' productivity growth and patterns of job creation and destruction across their...

This paper evaluates the impact of the widespread use of fixed-term contracts in Spain on firms' TFP, via its effect on workers' effort. We propose a simple analytical framework showing that, under plausible conditions, workers' effort depends positively on their perception (for given level of...

Using the Spanish micro data from the Programme for the International Assessment of Adult Competencies (PIAAC), we first document how the excessive gap in employment protection between indefinite and temporary workers leads to large differentials in on-the-job training (OTJ) against the latter....

Nonparametric techniques are usually seen as a statistic device for data description and exploration, and not as a tool for estimating models with a richer economic structure, which are often required for policy analysis. This paper presents an example where nonparametric flexibility can be...

We study semiparametric two-step estimators which have the same structure as parametric doubly robust estimators in their second step, but retain a fully nonparametric specification in the first step. Such estimators exist in many economic applications, including a wide range of missing data and...

In this paper we compare two flexible estimators of technical efficiency in a cross-sectional setting: the nonparametric kernel SFA estimator of Fan, Li and Weersink (1996) to the nonparametric bias corrected DEA estimator of Kneip, Simar and Wilson (2008). We assess the finite sample...

We estimate the impact of workforce diversity on productivity, wages and productivity-wage gaps (i.e. profits) using detailed Belgian linked employer-employee panel data. Findings, robust to a large set of covariates, specifications and econometric issues, show that educational (age) diversity...