Inferences from Cross-Sectional, Stochastic Frontier Models

2009 ◽  
Vol 29 (1) ◽  
pp. 62-98 ◽  
Author(s):  
Léopold Simar ◽  
Paul W. Wilson
2020 ◽  
Vol 12 (9) ◽  
pp. 3770 ◽  
Author(s):  
Muhammad Rizwan ◽  
Ping Qing ◽  
Abdul Saboor ◽  
Muhammad Amjed Iqbal ◽  
Adnan Nazir

Pakistan is an agrarian economy confronting both risk and uncertainty. Rural migration to urban and off-farm work is increasing in the country. Off-farm work assists in decreasing risk and uncertainty while technical efficiency is linked with off-farm employment. This research effort aims at investigating the underpinnings of production characteristics, risk, and efficiency across categories of rice farmers, i.e., with and without off-farm work, by developing two stochastic frontier models. Empirical results reveal that both groups of farmers are using inputs in different ways, subsequently production varies across these groups. Farmers in both the categories have common characteristics in terms of production function. Coefficient of family size is positively significant to the group of farmers having off-farm work while negatively associated to their counterparts. High temperature and prevalence of disease found risk increasing factors. Though one group is more efficient, in general both groups are technically inefficient. The short-term policy focus should be diverted to ensuring availability and timely application of inputs to enhance efficiency. In the long run, policy initiatives need to be taken towards rural development by providing employment facilitating social and economic infrastructure, along with focus on Research and Development (R&D) particularly keeping the rice belt in view.


2014 ◽  
Vol 234 (5) ◽  
Author(s):  
Julian S. Leppin

SummaryThis paper examines the predictive power of different estimation approaches for reservation wages. It applies stochastic frontier models for employed persons and the approach from Kiefer and Neumann (1979b) for unemployed persons. Furthermore, the question of whether or not reservation wages decrease over the unemployment period is addressed. This is done by a simulated panel with known reservation wages which uses data from the Socio-Economic Panel as a basis. The comparison of the estimators is carried out by a Monte Carlo simulation. In case of employed persons, the cross-sectional stochastic frontier model shows the best performance. The Kiefer-Neumann approach for unemployed persons is able to predict decreasing reservation wages but the rise of the mean reservation wage in case of a constant simulated reservation wage went undetected. In general, the Kiefer-Neumann approach overestimates the reservation wage.


Author(s):  
Caroline Khan ◽  
Mike G. Tsionas

AbstractIn this paper, we propose the use of stochastic frontier models to impose theoretical regularity constraints (like monotonicity and concavity) on flexible functional forms. These constraints take the form of inequalities involving the data and the parameters of the model. We address a major concern when statistically endogenous variables are present in these inequalities. We present results with and without endogeneity in the inequality constraints. In the system case (e.g., cost-share equations) or more generally, in production function-first-order conditions case, we detect an econometric problem which we solve successfully. We provide an empirical application to US electric power generation plants during 1986–1997, previously used by several authors.


2009 ◽  
Vol 44 (1) ◽  
pp. 213-236 ◽  
Author(s):  
Giao X. Nguyen ◽  
Peggy E. Swanson

AbstractThis study uses a stochastic frontier approach to evaluate firm efficiency. The resulting efficiency score, based on firm characteristics, is the input for performance evaluation. The portfolio composed of highly efficient firms significantly underperforms the portfolio composed of inefficient firms even after adjustment for firm characteristics and risk factors, suggesting a required premium for the inefficient firms. The difference in performance between the two portfolios remains for at least five years after the portfolio formation year. In addition, firm efficiency exhibits significant explanatory power for average equity returns in cross-sectional analysis.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
John Kanburi Bidzakin ◽  
Simon C. Fialor ◽  
Dadson Awunyo-Vitor ◽  
Iddrisu Yahaya

Irrigation production is a means by which agricultural production can be increased to meet the growing food demands in the world. This study evaluated the effect of irrigation ecology on farm household technical, allocative, and economic efficiency of smallholder rice farmers. Cross-sectional data was obtained from 350 rice farmers across rain fed and irrigation ecologies. Stochastic frontier analyses are used to estimate the production efficiency and endogenous treatment effect regression model is used to estimate the impact of irrigation ecology on rice production efficiency. The impact of irrigation ecology on technical efficiency is about 0.05, which implies farmers producing under irrigation ecology are more technically efficient in their rice production than those in rain fed production. The impact of irrigation ecology on allocative efficiency is about 0.33, which shows that farmers participating in irrigation farming are more allocatively efficient in their rice production than those in rain fed production. The impact on economic efficiency is about 0.23, meaning that farmers participating in irrigation farming are more economically efficient in their rice production than those in rain fed production. Irrigation ecology has positive impact on production efficiency; hence farmers should be encouraged to produce more under irrigation for increased yield and profit.


Sign in / Sign up

Export Citation Format

Share Document