Using the manufacturing productivity distribution to evaluate growth theories

Structural Change and Economic Dynamics

Volumn 17, Issue 2, 2006, Pages 248-258

  Krüger, Jens J ^a  

^a FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

Author keywords

Manufacturing productivity distribution; Multi sector growth models; Skewness

Indexed keywords

DEVELOPMENT THEORY; LABOR PRODUCTIVITY; MANUFACTURING; SKEWNESS;

EID: 33645946375     PISSN: 0954349X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.strueco.2005.12.002     Document Type: Article

References (27)

1. Aghion P., Harris C., Howitt P., and Vickers J. Competition, imitation and growth with step-by-step innovation. Review of Economic Studies 68 (2001) 467-492
2. Aghion P., and Howitt P. Endogenous Growth Theory (1998), MIT Press, Cambridge, MA
3. Andersen P., and Petersen N.C. A procedure for ranking efficient units in data envelopment analysis. Management Science 39 (1993) 1261-1264
4. Banker R.D., Gadh V.M., and Gorr W.L. A monte carlo comparison of two production frontier estimation methods: corrected ordinary least squares and data envelopment analysis. European Journal of Operational Research 67 (1993) 332-343
5. Bartelsman, E.J., Gray, W., 1996. The NBER manufacturing productivity data base. NBER Technical Working Paper 205.
6. Cooper R., and Johri A. Learning-by-doing and aggregate fluctuations. Journal of Monetary Economics 49 (2002) 1539-1566
7. Greene W.H. The econometric approach to efficiency analysis. In: Fried H.O., Lovell C.A.K., and Schmidt S.S. (Eds). The Measurement of Productive Efficiency (1993), Oxford University Press, Oxford 68-119
8. Harberger A.C. A vision of the growth process. American Economic Review 88 (1998) 1-32
9. Hoernig S.H. Asymmetry, stability and growth in a step-by-step R&D-race. European Economic Review 47 (2003) 245-257
10. Jorgenson D.W. Productivity and economic growth. In: Berndt E.R., and Triplett J.E. (Eds). Fifty Years of Economic Measurement (1990), University of Chicago Press, Chicago 19-118
11. Jorgenson D.W. Information technology and the U.S. economy. American Economic Review 91 (2001) 1-32
12. Jones C.I. Sources of U.S. economic growth in a world of ideas. American Economic Review 92 (2002) 220-239
13. Jones M.C., Marron J.S., and Sheather S.J. A brief survey of bandwidth selection for density estimation. Journal of the American Statistical Association 91 (1996) 401-407
14. Jovanovic B., and Nyarko Y. A Bayesian learning model fitted to a variety of empirical learning curves. Brookings Paper on Economic Activity: Microeconomics (1995) 247-305
15. Kongsamut P., Rebelo S., and Xie D. Beyond balanced growth. Review of Economic Studies 68 (2001) 869-882
16. Krüger J.J. Productivity transitions in the U.S. manufacturing sector. Applied Economics Letters 11 (2004) 935-937
17. Krüger J.J. Structural change in U.S. manufacturing: stationarity and intra-distributional changes. Economics Letters 87 (2005) 387-392
18. Krüger, J.J., 2005b. Productivity and structural change: an empirical investigation of the U.S. manufacturing sector. Unpublished book manuscript.
19. Meckl J. Structural change and generalized balanced growth. Journal of Economics 77 (2002) 241-266
20. Metcalfe J.S. Competition, Fisher's principle and increasing returns in the selection process. Journal of Evolutionary Economics 4 (1994) 327-346
21. Metcalfe, J.S., Foster, J., Ramlogan, R., 2002. Adaptive economic growth. CRIC Discussion Paper No. 59.
22. Mohnen P. R&D externalities and productivity growth. STI Review 18 (1996) 39-66
23. Montobbio F. An evolutionary model of industrial growth and structural change. Structural Change and Economic Dynamics 13 (2002) 387-414
24. Romer P.M. Endogenous technological change. Journal of Political Economy 98 (1990) S71-S102
25. Ruggiero J. Efficiency estimation and error decomposition in the stochastic frontier model: a monte carlo analysis. European Journal of Operational Research 115 (1999) 555-563
26. Sheather S.J., and Jones M.C. A reliable data-based bandwidth selection method for kernel density estimation. Journal of the Royal Statistical Society 53 Series B (1991) 683-690
27. Wand M.P., and Jones M.C. Kernel Smoothing (1995), Chapman&Hall, London