Abstract. Estimating the returns to scale is a classic problem of economics. In this paper we show how to efficiently estimate the returns to scale without making unnecessary parametric or exogeneity assumptions. Specifically, the production function and its degree of homogeneity are both assumed to be unknown and we show how to estimate the latter — which can now be interpreted as the returns to scale — as efficiently as possible when some or all of the factor inputs are endogenous. This is a nonstandard problem because the production function is ill-posed in this setting. Hence, care has to be taken while deriving the efficiency bound and constructing an efficient estimator for the returns to scale. 1
Numerous studies have utilized nonparametric estimation of production efficiency but no such study f...
We propose a novel nonparametric method for the structural production analysis in the presence of un...
In production theory, conditional frontiers and conditional efficiency measures are a flexible and a...
The paper describes a method of estimating variable returns to scale in production that adaptively f...
This paper discusses various statistics for testing hypotheses regarding returns to scale in the con...
In production theory and eciency analysis, rm eciencies are measured by their distances to a product...
A rich literature on the analysis of efficiency in production has developed since pi- oneering work ...
This paper discusses various statistics for testing hypotheses regarding returns to scale in the con...
The purpose of this note is to define a new and more general method to obtain qualitative informatio...
Two stochastic production frontier models are formulated within the generalized production function ...
International audienceReturns-to-scale (RTS) characterizations and the underlying notion of scale el...
A stochastic production frontier model is formulated within the generalized production function fram...
AbstractIn case of a Cobb-Douglas production function, the feasible estimation of return to scale is...
Nonparametric cost frontier estimation has been commonly used to examine the relative efficiency of ...
The paper investigates endogeneity issues in nonparametric frontier models. It considers a nonsepara...
Numerous studies have utilized nonparametric estimation of production efficiency but no such study f...
We propose a novel nonparametric method for the structural production analysis in the presence of un...
In production theory, conditional frontiers and conditional efficiency measures are a flexible and a...
The paper describes a method of estimating variable returns to scale in production that adaptively f...
This paper discusses various statistics for testing hypotheses regarding returns to scale in the con...
In production theory and eciency analysis, rm eciencies are measured by their distances to a product...
A rich literature on the analysis of efficiency in production has developed since pi- oneering work ...
This paper discusses various statistics for testing hypotheses regarding returns to scale in the con...
The purpose of this note is to define a new and more general method to obtain qualitative informatio...
Two stochastic production frontier models are formulated within the generalized production function ...
International audienceReturns-to-scale (RTS) characterizations and the underlying notion of scale el...
A stochastic production frontier model is formulated within the generalized production function fram...
AbstractIn case of a Cobb-Douglas production function, the feasible estimation of return to scale is...
Nonparametric cost frontier estimation has been commonly used to examine the relative efficiency of ...
The paper investigates endogeneity issues in nonparametric frontier models. It considers a nonsepara...
Numerous studies have utilized nonparametric estimation of production efficiency but no such study f...
We propose a novel nonparametric method for the structural production analysis in the presence of un...
In production theory, conditional frontiers and conditional efficiency measures are a flexible and a...