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Estimating Farm Efficiency in the Presence of Double Heteroscedasticity Using Panel Data

Guermat, Cherif; Hadri, Kaddour; Whittaker, Julie M. - 2015

inefficiencies are sensitive to specification errors. One source of such errors is heteroscedasticity. This paper addresses this … issue by extending the Hadri (1999) correction for heteroscedasticity to stochastic production frontiers and to panel data …. It is argued that heteroscedasticity within an estimation can have a significant effect on results, and that correcting …

Persistent link: https://www.econbiz.de/10014028978

Efficiency, Environmental Contaminants and Farm Size : Testing for Links Using Stochastic Production Frontiers

Hadri, Kaddour; Whittaker, Julie M. - 2004

This paper investigates whether there is any relationship between farm size, technical efficiency and the use of agrochemicals which are potentially environmentally contaminating. These questions are pertinent in the context of current EU policy decisions. Using two models of stochastic frontier...

Persistent link: https://www.econbiz.de/10014029213

A comparison of panel data models in estimating technical efficiency

Rashidghalam, Masoomeh; Heshmati, Almas; Dashti, Ghader; … - 2016

The purpose of this paper is two-fold. First, it compares the performance of various panel data models in estimating technical efficiency in production. Second, it applies various stochastic frontier panel data models to estimate the technical efficiency of Iran's cotton production and to...

Persistent link: https://www.econbiz.de/10011454436

A Comparison of Panel Data Models in Estimating Technical Efficiency

Rashidghalam, Masoomeh - 2016

Persistent link: https://www.econbiz.de/10012996535

A metafrontier analysis on the performance of grain-producing regions in Norway

Alem, Habtamu - In: Economies : open access journal 9 (2021) 1/10, pp. 1-10

Previous application of the stochastic frontier model and subsequent measurement of the performance of the crop sector can be criticized for the estimated production function relying on the assumption that the underlying technology is the same for different agricultural systems. This paper...

Persistent link: https://www.econbiz.de/10012483225

The role of green total factor productivity to farm-level performance : evidence from Norwegian dairy farms

Alem, Habtamu - In: Agricultural and Food Economics : AFE 11 (2023) 1, pp. 1-16

In the economics literature, measuring the performance of a dairy farm with a total productivity index is common practice. Previous research, on the other hand, has been chastised for failing to account for agricultural emissions in their models when calculating resource use productivity. This...

Persistent link: https://www.econbiz.de/10014281476

Bayesian treatments for panel data stochastic frontier models with time varying heterogeneity

Liu, Junrong; Sickles, Robin C.; Tsionas, Efthymios G. - In: Econometrics : open access journal 5 (2017) 3, pp. 1-21

This paper considers a linear panel data model with time varying heterogeneity. Bayesian inference techniques organized around Markov chain Monte Carlo (MCMC) are applied to implement new estimators that combine smoothness priors on unobserved heterogeneity and priors on the factor structure of...

Persistent link: https://www.econbiz.de/10011711007

Accounting for heterogeneity in performance evaluation of Norwegian dairy and crop-producing farms

Alem, Habtamu - In: Economies : open access journal 11 (2023) 1, pp. 1-10

It is critical to analyze the performance of enterprises to achieve sustainable agricultural development. Several studies have been conducted to assess farm performance. However, the studies have been criticized for failing to account for farm heterogeneity (which is frequently unobserved) in...

Persistent link: https://www.econbiz.de/10013500867

A Spatial Autoregressive Stochastic Frontier Model for Panel Data Incorporating a Model of Technical Inefficiency

Tsukamoto, Takahiro - 2018

By integrating Battese and Coelli’s (1995) model and the spatial autoregressive model (SAR), a spatial autoregressive stochastic frontier model for panel data is developed. The main feature of this frontier model is a spatial lag term of explained variables and the joint structure of a...

Persistent link: https://www.econbiz.de/10014116814

Adjustment of Inputs and Measurement of Time-Varying Technical Efficiency : A Dynamic Panel Data Analysis

Bhattacharyya, Aditi - 2014

This paper provides estimation method to measure technical efficiency of production units and the speed of adjustment of output, both varying with time, from a dynamic stochastic production frontier that incorporates the sluggish adjustment of inputs. Using a panel dataset on private...

Persistent link: https://www.econbiz.de/10013051027