Tsionas, Efthymios and Kumbhakar, Subal C. and Malikov, Emir (2015): Estimation of Input Distance Functions: A System Approach. Forthcoming in: American Journal of Agricultural Economics
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Abstract
This article offers a methodology to address the endogeneity of inputs in the input distance function (IDF) formulation of the production processes. We propose to tackle endogenous input ratios appearing in the normalized IDF by considering a flexible (simultaneous) system of the IDF and the first-order conditions from the firm's cost minimization problem. Our model can accommodate both technical and (input) allocative inefficiencies amongst firms. We also present the algorithm for quantifying the cost of allocative inefficiency. We showcase our cost-system-based model by applying it to study the production of Norwegian dairy farms during the 1991--2008 period. Among other things, we find both an economically and statistically significant improvement in the levels of technical efficiency among dairy farms associated with the 1997 quota scheme change, which a more conventional single-equation stochastic frontier model appears to be unable to detect.
Item Type: | MPRA Paper |
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Original Title: | Estimation of Input Distance Functions: A System Approach |
Language: | English |
Keywords: | Cost Minimization, Dairy Production, Dairy Quota, Endogeneity, Input Distance Function, Stochastic Frontier |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C33 - Panel Data Models ; Spatio-temporal Models D - Microeconomics > D2 - Production and Organizations > D24 - Production ; Cost ; Capital ; Capital, Total Factor, and Multifactor Productivity ; Capacity Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q12 - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets |
Item ID: | 62329 |
Depositing User: | Dr. Emir Malikov |
Date Deposited: | 25 Feb 2015 14:57 |
Last Modified: | 27 Sep 2019 07:09 |
References: | Atkinson, S. E., Cornwell, C., and Honerkamp, O. (2003). Measuring and decomposing productivity change: Stochastic distance function estimation versus data envelopment analysis. Journal of Business and Economics Statistics, 21(2):284-294. Atkinson, S. E. and Primont, D. (2002). Stochastic estimation of firm technology, inefficiency, and productivity growth using shadow cost and distance functions. Journal of Econometrics, 108:203-225. Atsbeha, D. M., Kristofersson, D., and Rickertsen, K. (2012). Animal breeding and productivity growth of dairy farms. American Journal of Agricultural Economics, 94:996-1012. Caves, D. W., Christensen, L. R., and Swanson, J. A. (1981). Productivity growth, scale economies, and capacity utilization in US railroads, 1955-74. American Economic Review, 71(5):994-1002. Chambers, R. G. (1997). Applied Production Analysis: A Dual Approach. Cambridge University Press. Coelli, T. J. (2000). On the econometric estimation of the distance function representation of a production technology. Discussion Paper 2000/42, Center for Operations Research and Econometrics, University Catholique de Louvain. Coelli, T. J., Hajargasht, G., and Lovell, C. A. K. (2008). Econometric estimation of an input distance function in a system of equations. Working Paper, University of Queensland. Cornwell, C., Schmidt, P., and Sickles, R. C. (1990). Production frontiers with cross-sectional and time-series variation in efficiency levels. Journal of Econometrics, 46(1{2):185-200. Das, A. and Kumbhakar, S. C. (2012). Productivity and efficiency dynamics in Indian banking: An input distance approach incorporating quality of inputs and outputs. Journal of Applied Econometrics, 27:205-234. Fare, R., Grosskopf, S., and Zaim, O. (2002). Hyperbolic efficiency and returns to the dollar. European Journal of Operational Research, 136:671-679. Fare, R. and Primont, D. (1995). Multi-Output Production and Duality: Theory and Applications. Kluwer Academic Publishers, Boston, MA. Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6):1251-1271. Jervell, A. M. and Borgen, S. O. (2000). Distribution of dairy production rights through quotas: The Norwegian case. In Schwarzweller, H. K. and Davidson, A. P., editors, Dairy Industry Restructuring. Elsevier Science Inc., New York. Jondrow, J., Lovell, C. A. K., Materov, I. S., and Schmidt, P. (1982). On the estimation of technical inefficiency in the stochastic frontier production function model. Journal of Econometrics, 19:233-238. Karagiannis, G., Midmore, P., and Tzouvelekas, V. (2004). Parametric decomposition of output growth using a stochastic input distance function. American Journal of Agricultural Economics, 86:1044-1057. Karagiannis, G., Tsionas, E. G., and Kumbhakar, S. C. (2006). Estimation of input distance functions in the presence of technical and allocative inefficiency: A system approach. Working Paper, Binghamton University. Kumbhakar, S. and Lovell, C. A. K. (2000). Stochastic Frontier Analysis. Cambridge University Press, New York, NY. Kumbhakar, S. C. (2013). Specification and estimation of multiple output technologies: A primal approach. European Journal of Operational Research, 231:465-473. Kumbhakar, S. C., Lien, G., Flaten, O., and Tveteras, R. (2008). Impacts of Norwegian milk quotas on output growth: A modified distance function approach. Journal of Agricultural Economics, 59:350-369. Lambert, D. K. and Wilson, W. W. (2003). Valuing varieties with imperfect output quality measurement. American Journal of Agricultural Economics, 85:95-107. Li, Q. (1996). Nonparametric testing of closeness between two unknown distribution functions. Econometric Reviews, 15:261-274. Marschak, J. and Andrews, W. H. (1944). Random simultaneous equations and the theory of production. Econometrica, 12(3{4):1263-1298. Petrin, A. and Train, K. (2010). A control function approach to endogeneity in consumer choice models. Journal of Marketing Research, 47(1):3-13. Schmidt, P. and Lovell, C. A. K. (1978). Estimating technical and allocative inefficiency relative to stochastic production and cost frontiers. Journal of Econometrics, 9:343-366. Shephard, R. W. (1953). Cost and Production Functions. Princeton University Press, Princeton, NJ. Shephard, R. W. (1970). Theory of Cost and Production Functions. Princeton University Press, Princeton, NJ. Silverman, B. W. (1986). Density Estimation. Chapman and Hall, London. Sipilainen, T., Kumbhakar, S. C., and Lien, G. (2014). Performance of dairy farms in Findland and Norway from 1991 to 2008. European Review of Agricultural Economics, 41:63-86. Terza, J. V., Basu, A., and Rathouz, P. J. (2008). Two-stage residual inclusion: Addressing endogeneity in health econometric modeling. Journal of Health Economics, 27:531-543. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/62329 |