Measuring and explaining productivity growth: A distance function approach;Zur Messung und Erklärung von Produktivitätsentwicklungen: Eine Analyse auf Basis eines stochastischen Distanzfrontieransatzes

Jahrbucher fur Nationalokonomie und Statistik

Volumn 224, Issue 4, 2004, Pages 420-444

  Brümmer, Bernhard ^a,b   Glauben, Thomas ^a,c  

^a Universität Göttingen ^*

^b UNIVERSITY OF GÖTTINGEN   (Germany)

^c UNIVERSITY OF KIEL   (Germany)

Author keywords

Distance function; Meta distance function; Stochastic frontier analysis; Total factor productivity

Indexed keywords

EID: 3543040631     PISSN: 00214027     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Baltagi, B.H. (1995), Econometric Analysis of Panel Data. Chichester: Wiley.
2. Battese, G.E., T.J. Coelli (1995), A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data. Emp. Econ. 20, pp. 325-332.
3. Battese, G.E., D.S.P. Rao (2001), Productivity Potential and Technical Efficiency Levels of Firms in Different Regions Using A Stochate Metaproduction Frontier Model. CEPA Working Paper 10. Armidale: University New England.
4. Belsley, D. (1991), Conditioning Diagnostics: Collinearity and Weak Data in Regressions. New York: Wiley.
5. Binswanger, H., M. Yang, A. Bowers (1987), On the Determinants of Cross-Country Aggregate Agricultural Supply. J. Econometrics 36, pp. 111-131.
6. Caves, D.W., L.R. Christensen, W.E. Diewert (1982), The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity. Econometrica 50, pp. 1393-1414.
7. Coelli, T.J., S. Perelman (1999), A Comparison of Parametric and Non-parametric Distance Functions: With Application to European Railways. Europ. J. Op. Re., 117, pp. 326-339.
8. Coelli, T.J., S. Perelman (2000), Technical Efficiency of European Railways: A Distance Function Approach. Applied Econ., 32.
9. Debreu, G. (1959), Theory of Value. New York: Wiley.
10. Doornik, J.A. (1999), Ox: An Object-Oriented Matrix Language. London: Timberlake Consultants Press.
11. Farrell, M.J. (1957), The Measurement of Productive Efficiency. J. Roy. Statist. Society, Series A CXX, pp. 253-290.
12. Färe, R., D. Primont (1995), Multi-output Production and Duality: Theory and Applications. Boston: Kluwer Academic Publishers.
13. Färe R., S. Grosskopf, C.A.K. Lovell (1994), Production Frontiers. Cambridge: Cambridge University Press.
14. Färe, R., S. Grosskopf, M. Norris, Z. Zhang (1994), Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries. Amer. Econ. Rev. 84, pp. 66-83.
15. Fuentes, H., E. Grifell-Tatjé, S. Perelman (2001), A Parametric Distance Function Approach for Malmquist Productivity Index Estimation. J. Productivity Analysis 15, pp. 79-94
16. Grosskopf, S. (1993), Efficiency and Productivity. In: H.O. Fried, C.A.K. Lovell, S.S. Schmidt (eds.), The Measurement of Productive Efficiency: Techniques and Applications, New York: Oxford University Press, pp. 160-194
17. Grosskopf, S., K.J. Hayes, L.L. Taylor, W.L. Webber (1997), Budget-constrained Frontier Measures of Fiscal Equality and Efficiency in Schooling. Rev. Econ. and Stat. 79, pp. 116-124.
18. Hayami, Y., V. Ruttan (1970), Agricultural Productivity Differences Among Countries. Amer. Econ. Rev. 60, pp. 895-911.
19. Horrace, W.C., P. Schmidt (1996), Confidence Statements for Efficiency Estimates from Stochastic Frontier Models. J. Productivity Analysis 7, pp. 257-282.
20. Kawagoe, T., Y. Hayami, V. Ruttan (1985), The Intercountry Agricultural Production Function and Productivity Differences Among Countries. J. Develop. Econ. 19, pp. 113-132.
21. Kumbhakar, S.C. (1996), Efficiency Measurement with Multiple Outputs and Multiple Inputs. J. Productivity Analysis 7, pp. 225-235.
22. Kumbhakar, S.C. (1997), Modeling Allocative Inefficiency in a Translog Cost Function and Cost Share Equations: An Exact Relationship. J. Econometrics 76, pp. 351-356.
23. Kumbhakar, S.C., C.A.K. Lovell (2000), Stochastic Frontier Analysis. Cambridge: Cambridge University Press.
24. Lovell, C.A.K., S. Richardson, P. Travers, L.L. Wood (1994), Resources and Functionings: A New View of Inequality in Australia. In: W. Eichhorn (ed.), Models and Measurement of Welfare and Inequality, Berlin: Springer-Verlag.
25. Marschak, J., W. Andrews (1944), Random Simultaneous Equations and the Theory of Production. Econometrica 12, pp. 143-205.
26. Morrison, C.J. (1992), Unraveling the Productivity Growth Slowdown in the United States, Canada and Japan: The Effects of Subequilibrium, Scale Economics and Markups. Rev. Econ. and Statist. 74. pp. 381-393.
27. Morrison, C.J., W.E. Johnston, G. Frengley (2000), Efficiency in New Zealand Sheep and Cattle Farming: The Impacts of Regulatory Reform. Rev. Econ. and Statist. 82, pp. 325-337.
28. Mundlak, Y. (1996), Production Function Estimation: Reviving the Primal. Econometrica, 64, pp. 431-438.
29. Nishimuzu, M., Page, J.M. (1981), Total Factor Productiviy Growth, Technological Change and Technical Efficiency Change. Econ. J., 92, pp. 920-936.
30. OECD (1994), Review of Agricultural Policies: Poland. Paris: OECD.
31. Schmidt, P. (1988), Estimation of a Fixed-effect Cobb-Douglas System Using Panel Data. J. Econometrics 37, pp. 361-380.
32. Shephard, R. W. (1970), The Theory of Cost and Production Functions. Princeton: Princeton University Press.