"In this paper, stochastic production frontier models are estimated with IAB establishment data from waves 2002 and 2003 to find important determinants of productivity and inefficiency. The data suffer from nonresponse in the most important variables (output, capital and labor) leading to the loss of 25% of the observations and possibly imprecise estimates and invalid test statistics. Therefore, the missing values are multiply imputed. Analyzes of the estimation results show that, particularly in the inefficiency submodel, working with multiply imputed data reveals some interesting and plausible results which are not available when ignoring missing observations." (author's abstract
In previous studies, measures of technical inefficiency effects derived from stochastic production f...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...
"In this paper, stochastic production frontier models are estimated with IAB establishment data from...
"Die Arbeit zeigt die Effekte der Antwortverweigerung in Umfragen auf die Ergebnisse von Produktivit...
The stochastic frontier model was first proposed in the context of production function estimation to...
This study shows how the estimates of production inefficiency and of the marginal effects of its det...
SUMMARY: In many large data sets of economic interest, some variables, as wages, are top-coded or ri...
This article studies the estimation of production frontiers and efficiency scores when the commodity...
It has been argued that the deterministic frontier approach in inefficiency measurement has a major ...
We have developed a stochastic frontier model with appropriate priors to estimate the locations and ...
Editing and multiply imputing German establish-ment panel data to estimate stochastic produc-tion fr...
This paper addresses the endogeneity of inputs and output (which is mostly ignored in the stochastic...
The robustness of the multiple imputation of missing data on parame- ter coefficients and efficiency...
In previous studies, measures of technical inefficiency effects derived from stochastic production f...
In previous studies, measures of technical inefficiency effects derived from stochastic production f...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...
"In this paper, stochastic production frontier models are estimated with IAB establishment data from...
"Die Arbeit zeigt die Effekte der Antwortverweigerung in Umfragen auf die Ergebnisse von Produktivit...
The stochastic frontier model was first proposed in the context of production function estimation to...
This study shows how the estimates of production inefficiency and of the marginal effects of its det...
SUMMARY: In many large data sets of economic interest, some variables, as wages, are top-coded or ri...
This article studies the estimation of production frontiers and efficiency scores when the commodity...
It has been argued that the deterministic frontier approach in inefficiency measurement has a major ...
We have developed a stochastic frontier model with appropriate priors to estimate the locations and ...
Editing and multiply imputing German establish-ment panel data to estimate stochastic produc-tion fr...
This paper addresses the endogeneity of inputs and output (which is mostly ignored in the stochastic...
The robustness of the multiple imputation of missing data on parame- ter coefficients and efficiency...
In previous studies, measures of technical inefficiency effects derived from stochastic production f...
In previous studies, measures of technical inefficiency effects derived from stochastic production f...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...