Maximum Likelihood estimates of Stochastic Cost Frontier Function: An Application to the Maize farming and Hypothesis testing

Shameena. H. Khan

Abstract


This paper uses maximum likelihood estimate of the half normal stochastic cost function to investigate the cost inefficiency among 100 maize farmers. Results indicates that Cobb Douglas cost frontier function parameter and are significant at 1% level. The Maximum likelihood parameter estimation indicated a positive relationship and significance at 1% level for seed, Manure, plant protection chemicals, labour, machinery and irrigation. Estimation of inefficiency model indicates that older farmers in range of 50-60 years are cost efficient than younger ones of 35-49 years. The estimated gamma parameter of 99% in the study area reveals the variation in the total cost of production of maize. Parameter estimation is done using Frontier 4.1. Hypothesis test shows there is significant relationship between maize output and input

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References


Aigner, D.J. and SF. Chu. On estimating the industry production function, American Economic Review.58: 826-839 ,1968.

Aigner, Lovell and Schmidt.Formulation and estimation of stochastic production Function models,Journal of econometrics.6:21-37,1977.

Battese and Coelli.A model for technical inefficiency effects in stochastic frontier production for panel data. Empirical econometrics.20:325-345,1995.

Battese and Corra.Estimation of a production function model with Application to the Pastoral Zone of Eastern Australia. Australian Journal of Agricultural Economics.21:169-179,1977.

Farrel.M.J.The Measurement of Productive Efficiency. Journal of the Royal Statistical Society (A, general). 120:253–281,1957.

Ismatul Hidayah, Nuhfil Hanani, Ratya Anindita and Budi Setiawan. Production and cost efficiency analysis using frontier stochastic approach, A case on paddy farming system with integrated plant and resource management (IPRM) approach in Buru district Maluku province Indonesia. Journal of Economics and Sustainable Development .4:78-84,2013.

Jondrow, J., Lovell, C.A.K., Materov, I.S. & Schmidt. On the estimation of technical inefficiency in the stochastic frontier production model. Journal of econometrics.19:233–238.1982.

John Ng’ombe and Thomson Kalinda.A stochastic frontier analysis of technical efficiency of Maize production under minimum tillage in Zambia. Sustainable Agriculture Research.4:31-46 ,2015.

Ougundari, Ojo SO,Ajibefun IA.Economics of scale and cost efficiency in small scale maize production;Empirical evidence from Nigeria. Journal central European agriculture.6:15-26,2006

P. Paudel. A. Matsuoka, Cost efficiency estimates of maize production in Nepal: a case study of the Chitwan district, journal of agricultural econometrics-czech.3:139-148,2009.

Salisu, A. B., Shakuga, J. E. and Dagi. M. B. Profitability analysis of small scale egg production in bauchi metropolis, Bauchi State, Nigeria. Agriculture: A review focus for economic development in Nigeria. Proceedings of the 29th annual conference of farm management association of Nigeria, Dutse .524,2015.

Shehu U.A, Ibrahim A, Hassan T, Bello M. Analysis of resource use efficiency in small-scale Maize production in Tafawa-Balewa local government of Bauchi State Nigeria, IOSR - JAV S .10:29-35,2017.

Subal C.kumbhakar 2003 Knox Lovell C.A. Stochastic Frontier Analysis,Cambride university press.2000.


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