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...

A decline in poverty generally masks regional disparities that are due to varying efficiency among states. Using a generalized true random-effects model, we distinguish between persistent and transient inefficiencies on subnational efficiency to reduce poverty and its determinants in Bolivia....

"In designing a production model for firms that generate multiple outputs, we take as a starting point that such multi-output production refers to economies of scope, which in turn originate from joint input use and input externalities. We provide a nonparametric characterization of cost...

We estimate a measure of well-being efficiency that assesses countries' ability to transform inputs into subjective well-being (Cantril ladder). We use the six inputs (real GDP per capita, healthy life expectancy, social support, freedom of choice, absence of corruption, and generosity)...

We examine the educational production function and efficiency of public school districts in Illinois. Using nonparametric kernel methods, we find that most traditional schooling inputs are irrelevant in determining test scores (even in a very general setting). Property tax caps are the only...

This paper examines micro-level channels of how financial development can affect macroeconomic outcomes like the level of income and export intensity. We investigate theoretically and empirically how financial constraints affect a firm's innovation and export activities, using unique firm survey...

The purpose of this paper is two-fold. First, it compares the performance of various panel data models in estimating technical efficiency in production. Second, it applies various stochastic frontier panel data models to estimate the technical efficiency of Iran's cotton production and to...

This study applies a panel data stochastic frontier analysis to country data towards examining the effect of gender equity in labor market opportunities upon efficiency in the production of GDP. It finds that aggregate technical efficiency is improved by a widening of women's labor market...

The main objective of this study is to investigate the impact of corporate R&D activities on firms' performance, measured by labour productivity. To this end, the stochastic frontier technique is applied, basing the analysis on a unique unbalanced longitudinal dataset consisting of 532 top...