This paper presents a procedure for measuring technical and allocative inefficiency in an input distance function framework. The procedure involves solving a system of equations to compute the unobserved cost minimizing input vector that is used to compute the cost of allocative inefficiency....

This paper addresses estimation and decomposition of productivity change, which is mostly identified as technical change under constant (unitary) returns to scale (CRS). If the CRS assumption is not made, productivity change is decomposed into technical change and scale effects.Furthermore, if...

This paper deals with modeling firm-specific technical change (TC), and technological biases (inputs and scale) in estimating total factor productivity (TFP) growth. Several dual parametric econometric models are used for this purpose. We examine robustness of TFP growth and TC among competing...

Modelling and testing whether competitive pressures driven by deregulatory changes make markets more competitive are examined. Departures from competitive markets are modelled via mark-up prices. Empirically, a panel data is used on Spanish savings banking industry that is undergoing...

A previous paper by Arnold, Bardhan, Cooper and Kumbhakar (1996) introduced a very simple method to estimate a production frontier by proceeding in two stages as follows: Data Envelopment Analysis (DEA) is used in the first stage to identify efficient and inefficient decision-making units...

This paper addresses several important issues related to crime. First, we construct a violent crime index taking into account seven different types of crimes. We use an aggregator function to define a crime index that attaches crime-specific weights which can be interpreted as severity of each...

The paper analyzes labor-use efficiency and employment elasticity in China’s manufacturing sector by applying a stochastic input distance function to the panel data of twenty-eight Chinese manufacturing industries relative to 1999-2008. The outcome is a labor-use efficiency rate ranging from...

Estimation of technical efficiency is widely used in empirical research using both cross-sectional and panel data. Although several stochastic frontier models for panel data are available, only a few of them are normally applied in empirical research. In this article we chose a broad selection...

This paper deals with a dynamic adjustment process in which adjustment of a key variable input (labor) towards its desired level is modeled in a panel data context. The partial adjustment type model is extended to make the adjustment parameter both firm- and time-specific by specifying it as a...