Are overtime plants more efficient than standard-time plants? A stochastic production frontier analysis using the IAB Establishment Panel

Empirical Economics

Volumn 30, Issue 3, 2005, Pages 693-710

  Schank, Thorsten ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Overtime working; Plant level panel data; Stochastic production frontiers

Indexed keywords

EFFICIENCY MEASUREMENT; EMPIRICAL ANALYSIS; LABOR; STOCHASTICITY; WAGE;

EID: 25844485148     PISSN: 03777332     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00181-005-0257-5     Document Type: Article

References (24)

1. Aigner D, Lovell C, Schmidt P (1977) Formulation and estimation of stochastic frontier production function models. Journal of Econometrics 6: 21-37
2. Battese G, Coelli T (1988) Prediction of firm-lEVEL technical efficiencies with a generalized frontier function and panel data. Journal of Econometrics 38: 387-399
3. Battese G, Coelli T (1992) Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India. The Journal of Productivity Analysis 3: 153-169
4. Bell D, Hart R, Hübler O, Schwerdt W (2000) Paid and unpaid overtime working in Germany and the UK Discussion Paper No. 133, Institute for the Study of Labor (IZA), March
5. Bender S, Haas A, Klose C (2000) IAB Employment subsample 1975-1995. Opportunities for analysis provided by the anonymised subsample. Discussion Paper No. 112, Institute for the Study of Labor (IZA), February
6. Christensen L, Jorgensen D, Lau L (1971) Conjugate duality and the transcendental logarithmic production function. Econometrica 39: 255-256
7. Cornwell C, Schmidt P, Sickles R (1990) Production frontiers with cross-sectional and time-series variation in efficiency levels. Journal of Econometrics 46: 1850-200
8. Franz W (1999) Arbeitsmarktökonomik, 4 edn. Springer Heidelberg New York, Berlin
9. Freeman R (1998) Work-sharing to full employment: Serious option of populist fallacy. In: Freeman R, Gottschalk P (eds) Generating jobs: How to increase demand for less-skilled workers. Russell Sage Foundation, New York, pp. 195-222
10. Giannaks K, Tran KC, Tzouvelekas V (2003) On the choice of functional form in stochastic frontier modelling. Empirical Economics 28: 75-100
11. Greene W (1993) Econometric analysis. Macmillan, New Jersey
12. Greene W (1997) Frontier production functions. In: Pesaran H, Schmidt P (eds.) Handbook of applied econometrics, vol. II - Microeconomics. Basil Blackwell, London, Chapt. 3
13. Groß H, Munz E, Seifert H (1999) Weniger Arbeitslose durch Überstundenabbau. WSI-Mitteilungen 52(7): 505-512
14. Hart R (1984) The economics of non-wage labour costs. Allen and Unwin, London
15. Horrace W, Schmidt P (1996) Confidence statements for efficiency estimates from stochastic frontier models. Journal of Productivity Analysis 7: 257-282
16. Kneip A, Simar L (1996) A general framework for frontier estimation with panel data. Journal of Productivity Analysis 7: 187-212
17. Kohler H, Spitznagel E (1996) Überstunden in Deutschland. Werkstattbericht, 4, IAB, Nürnberg
18. Kölling Arnd (2000) The IAB-Establishment Panel. Schmollers Jahrbuch 120(3): 291-300
19. Kumbhakar S (1990) Production frontiers, panel data, and time-varying technical inefficiency. Journal of Econometrics 46: 201-211
20. Lee Y, Schmidt P (1993) A production frontier model with flexible temporal variation in technical efficiency. In: Fried H, Lovell C, Schmidt S(eds.)The measurement of productive efficiency. Oxford University Press, pp. 68-119
21. Meeusen W, van den Broeck J (1977) Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review 18: 435-444
22. Park B, Simar L (1994) Efficient semiparametric estimation in a stochastic frontier model. Journal of the American Statistical Association 89: 929-936
23. Schank T (2003) The impact of working time on employment, wages and productivity, no. 269. In: Beritage zur Arbeitsmarkt- und Berufsforschung. Bundesanstalt für Arbeit, Nürnberg
24. Schmidt P, Sickles R (1984) Production frontiers and panel data. Journal of Business & Economic Statistics 2: 367-374