Technical efficiency estimates using standard stochastic frontier models do not include spillover effects, although the existence of such spillovers is well documented in the productivity literature. This paper proposes a regression-based, distribution-free estimation method applicable to both time-varying efficiency spatial stochastic frontier and fixed effects spatial autoregressive models, which is relatively easy to estimate. The empirical results from the Indian chemical industry illustrate that ignoring spatial dependence may seriously distort estimates for efficiency rankings. The average overall spillover effect on a firm’s efficiency is 7.20 percentage points, or an average positive spillover effect of US$4.9 million in sales reven...
Abstract: This paper assesses the role of intra-sectoral spillovers in total factor productivity acr...
We present the methodology for a new spatial decomposition of total factor productivity (TFP) growth...
This paper investigates the relationship between R&D stock and productivity growth, while taking...
Unit specific effects are often used to estimate non-spatial efficiency. We extend such estimators t...
This paper develops a spatial Durbin stochastic frontier model for panel data introducing spillover ...
This paper investigates the presence of spatial spillovers in firms’ productive (in)efficiency. For ...
Efficiency measurement using stochastic frontier models is well established in applied econometrics....
<p>This paper proposes a spatial Bayesian random effects stochastic frontier model that allows for u...
By blending seminal literature on non-spatial stochastic frontier models with key contributions to s...
The spatial autoregressive stochastic frontier model of Glass et al.(2016) is based on distributiona...
Firm efficiency analysis has evolved from mathematically estimating an industry\u27s mean level of e...
This paper provides an econometric examination of geographic R&D spillovers among countries by focus...
The unifying theme of this dissertation is the measurement of production efficiency, covering both p...
Spatial dependence in stochastic frontier models is usually handled by modelling the frontier functi...
In the last decade special attention has been focused on estimating a firm’s efficiency and producti...
Abstract: This paper assesses the role of intra-sectoral spillovers in total factor productivity acr...
We present the methodology for a new spatial decomposition of total factor productivity (TFP) growth...
This paper investigates the relationship between R&D stock and productivity growth, while taking...
Unit specific effects are often used to estimate non-spatial efficiency. We extend such estimators t...
This paper develops a spatial Durbin stochastic frontier model for panel data introducing spillover ...
This paper investigates the presence of spatial spillovers in firms’ productive (in)efficiency. For ...
Efficiency measurement using stochastic frontier models is well established in applied econometrics....
<p>This paper proposes a spatial Bayesian random effects stochastic frontier model that allows for u...
By blending seminal literature on non-spatial stochastic frontier models with key contributions to s...
The spatial autoregressive stochastic frontier model of Glass et al.(2016) is based on distributiona...
Firm efficiency analysis has evolved from mathematically estimating an industry\u27s mean level of e...
This paper provides an econometric examination of geographic R&D spillovers among countries by focus...
The unifying theme of this dissertation is the measurement of production efficiency, covering both p...
Spatial dependence in stochastic frontier models is usually handled by modelling the frontier functi...
In the last decade special attention has been focused on estimating a firm’s efficiency and producti...
Abstract: This paper assesses the role of intra-sectoral spillovers in total factor productivity acr...
We present the methodology for a new spatial decomposition of total factor productivity (TFP) growth...
This paper investigates the relationship between R&D stock and productivity growth, while taking...