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 article suggests that the global inefficiency which generally affects a production process is e...
This paper proposes a stochastic frontier model which includes time-invariant unobserved heterogenei...
This paper proposes a semiparametric smooth-coefficient (SPSC) stochastic production frontier model ...
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...
Neoclassical economics assume that producers in an economy always operate efficiently, however in re...
This thesis is concerned with the specification, estimation, application and testing of stochastic 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...
This paper proposes a semiparametric smooth-coefficient stochastic production frontier model where a...
Standard stochastic frontier models estimate log-linear specifications of production technology, rep...
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...
Paul and Shankar [Satya Paul, Sriram Shankar, On Estimating Efficiency Effects in a Stochastic Front...
Parametric production frontier functions are frequently used in stochastic frontier models, but ther...
This article suggests that the global inefficiency which generally affects a production process is e...
This paper proposes a stochastic frontier model which includes time-invariant unobserved heterogenei...
This paper proposes a semiparametric smooth-coefficient (SPSC) stochastic production frontier model ...
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...
Neoclassical economics assume that producers in an economy always operate efficiently, however in re...
This thesis is concerned with the specification, estimation, application and testing of stochastic 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...
This paper proposes a semiparametric smooth-coefficient stochastic production frontier model where a...
Standard stochastic frontier models estimate log-linear specifications of production technology, rep...
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...
Paul and Shankar [Satya Paul, Sriram Shankar, On Estimating Efficiency Effects in a Stochastic Front...
Parametric production frontier functions are frequently used in stochastic frontier models, but ther...
This article suggests that the global inefficiency which generally affects a production process is e...
This paper proposes a stochastic frontier model which includes time-invariant unobserved heterogenei...
This paper proposes a semiparametric smooth-coefficient (SPSC) stochastic production frontier model ...