The stochastic frontier model was first proposed in the context of production function estimation to account for the effect of technical inefficiency. The inefficiency causes actual output to fall below the potential level (that is, the production frontier) and also raises production cost above the minimum level (that is, the cost frontier). Recent applications of the model are found in many fields of study including labour, finance, and economic growth. In these applications, the observed outcome (of wages, investment, and so on) is modelled as being deviating from a frontier level in one direction owing to factors such as information asymmetry
This paper proposes a stochastic frontier model which includes time-invariant unobserved heterogenei...
This article suggests that the global inefficiency which generally affects a production process is e...
Conventional econometric analysis in the field of production economics generally as-sumes that all p...
The stochastic frontier model was first proposed in the context of production function estimation to...
This paper explores the framework and development of stochastic frontier Approach (SFA). The origina...
This thesis is concerned with the specification, estimation, application and testing of stochastic f...
Neoclassical economics assume that producers in an economy always operate efficiently, however in re...
This paper proposes a semiparametric smooth-coefficient stochastic production frontier model where a...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...
Standard stochastic frontier models estimate log-linear specifications of production technology, rep...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...
This article considers the semiparametric stochastic frontier model with panel data that arises in t...
This paper considers the semiparametric stochastic frontier model with panel data which arises in th...
Parametric production frontier functions are frequently used in stochastic frontier models, but ther...
Paul and Shankar [Satya Paul, Sriram Shankar, On Estimating Efficiency Effects in a Stochastic Front...
This paper proposes a stochastic frontier model which includes time-invariant unobserved heterogenei...
This article suggests that the global inefficiency which generally affects a production process is e...
Conventional econometric analysis in the field of production economics generally as-sumes that all p...
The stochastic frontier model was first proposed in the context of production function estimation to...
This paper explores the framework and development of stochastic frontier Approach (SFA). The origina...
This thesis is concerned with the specification, estimation, application and testing of stochastic f...
Neoclassical economics assume that producers in an economy always operate efficiently, however in re...
This paper proposes a semiparametric smooth-coefficient stochastic production frontier model where a...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...
Standard stochastic frontier models estimate log-linear specifications of production technology, rep...
Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The cl...
This article considers the semiparametric stochastic frontier model with panel data that arises in t...
This paper considers the semiparametric stochastic frontier model with panel data which arises in th...
Parametric production frontier functions are frequently used in stochastic frontier models, but ther...
Paul and Shankar [Satya Paul, Sriram Shankar, On Estimating Efficiency Effects in a Stochastic Front...
This paper proposes a stochastic frontier model which includes time-invariant unobserved heterogenei...
This article suggests that the global inefficiency which generally affects a production process is e...
Conventional econometric analysis in the field of production economics generally as-sumes that all p...