Erratum to "Transit costs and cost efficiency: Bootstrapping non-parametric frontiers" [Research in Transport Economics 23 (2008) 53-64] (DOI:10.1016/j.retrec.2008.10.008);Transit costs and cost efficiency: Bootstrapping non-parametric frontiers

Research in Transportation Economics

Volumn 23, Issue 1, 2008, Pages 53-64

  de Borger, Bruno ^a   Kerstens, Kristiaan ^b   Staat, Matthias ^c  

^a UNIVERSITY OF ANTWERP   (Belgium)

^b IESEG SCHOOL OF MANAGEMENT   (France)

^c DSC GmbH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 60449085251     PISSN: 07398859     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.retrec.2009.07.001     Document Type: Erratum

References (57)

1. Atkinson S.E., and Wilson P.W. Comparing mean efficiency and productivity scores from small samples: A bootstrap methodology. Journal of Productivity Analysis 6 2 (1995) 137-152
2. Basso L., and Jara-Díaz S.R. Calculation of economies of spatial scope from transport cost functions with aggregate output. Journal of Transport Economics and Policy 39 1 (2005) 25-52
3. Battese G.E., and Coelli T. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics 20 2 (1995) 325-332
4. Boame A.K. The technical efficiency of Canadian urban transit systems. Transportation Research 40E 5 (2004) 401-416
5. Boame A.K., and Obeng K. Sources of productivity change: A Malmquist total factor productivity approach. Transport Reviews 25 1 (2005) 103-116
6. Brons M., Nijkamp P., Pels E., and Rietveld P. Efficiency of urban public transit: A meta analysis. Transportation 32 1 (2005) 1-21
7. Chambers R.G., Chung Y., and Färe R. Profit, directional distance functions, and Nerlovian efficiency. Journal of Optimization Theory and Applications 98 2 (1998) 351-364
8. Cherchye L., and Post T. Methodological advances in DEA: A survey and an application for the Dutch electricity sector. Statistica Neerlandica 57 4 (2003) 410-438
9. Chu X., Fielding G., and Lamar B. Measuring transit performance using Data Envelopment Analysis. Transportation Research 26A 3 (1992) 223-230
10. Chung Y., Färe R., and Grosskopf S. Productivity and undesirable outputs: A directional function approach. Journal of Environmental Management 51 3 (1997) 229-240
11. Cowie J., and Asenova D. Organisation form, scale effects and efficiency in the British bus industry. Transportation 26 3 (1999) 231-248
12. Dalen D.M., and Gómez-Lobo A. Yardsticks on the road: Regulatory contracts and cost efficiency in the Norwegian bus industry. Transportation 30 4 (2003) 371-386
13. Daraio C., and Simar L. Advanced robust and nonparametric methods in efficiency analysis: Methodology and applications (2007), Springer, Berlin
14. De Borger B., and Kerstens K. The performance of bus-transit operators. In: Hensher D.A., and Button K.J. (Eds). Handbook of transport modelling. 2nd ed. (2008), Elsevier, Amsterdam 693-714
15. De Borger B., Kerstens K., and Costa A. Public transit performance: What does one learn from frontier studies?. Transport Reviews 22 1 (2002) 1-38
16. Färe R., and Grosskopf S. Notes on some inequalities in economics. Economic Theory 15 1 (2000) 227-233
17. Färe R., Grosskopf S., and Lee H. A nonparametric approach to expenditure-constrained profit maximization. American Journal of Agricultural Economics 72 3 (1990) 574-581
18. Färe R., Grosskopf S., and Lovell C.A.K. The structure of technical efficiency. Scandinavian Journal of Economics 85 2 (1983) 181-190
19. Färe R., Grosskopf S., and Lovell C.A.K. The measurement of efficiency of production (1985), Kluwer, Boston
20. Färe R., Grosskopf S., Lindgren B., and Roos P. Productivity developments in Swedish hospitals: A Malmquist output index approach. In: Charnes A., Cooper W.W., Lewin A.Y., and Seiford L.M. (Eds). Data Envelopment Analysis: Theory, Methodology and Applications (1994), Kluwer, Boston 253-272
21. Färe R., and Primont D. Multi-output production and duality: Theory and applications (1995), Kluwer, Boston
22. Farrell M. The measurement of productive efficiency. Journal of the Royal Statistical Society 120A 3 (1957) 253-281
23. Gagnepain P., and Ivaldi M. Stochastic frontiers and asymmetric information models. Journal of Productivity Analysis 18 2 (2002) 145-159
24. Gagnepain P., and Ivaldi M. Incentive regulatory policies: The case of public transit systems in France. Rand Journal of Economics 33 4 (2002) 605-629
25. Gijbels I., Mammen E., Park B.U., and Simar L. On estimation of monotone and concave frontier functions. Journal of the American Statistical Association 94 445 (1999) 220-228
26. Grosskopf S. Statistical inference and nonparametric efficiency: A selective survey. Journal of Productivity Analysis 7 2-3 (1996) 161-176
27. Holvad T., Hougaard J.L., Kronborg D., and Kvist H.K. Measuring inefficiency in the Norwegian bus industry using multi-directional efficiency analysis. Transportation 31 3 (2004) 349-369
28. Jara-Díaz S.R. The estimation of transport cost functions: A methodological review. Transport Reviews 2 3 (1982) 257-278
29. Jørgensen F., Pedersen P.A., and Solvoll G. The costs of bus operations in Norway. Journal of Transport Economics and Policy 29 3 (1995) 253-262
30. Jørgensen F., Pedersen P.A., and Volden R. Estimating the inefficiency in the Norwegian bus industry from stochastic cost frontier models. Transportation 24 4 (1997) 421-433
31. Kerstens K. Technical efficiency measurement and explanation of French urban transit companies. Transportation Research 30A 6 (1996) 431-452
32. Kneip A., and Simar L. A general framework for frontier estimation with panel data. Journal of Productivity Analysis 7 2-3 (1996) 187-212
33. Kneip A., Park B.U., and Simar L. A note on the convergence of nonparametric DEA estimators for production efficiency scores. Econometric Theory 14 6 (1998) 783-793
34. Kumbhakar S.C., and Lovell C.A.K. Stochastic frontier analysis: An econometric approach (2000), Cambridge University Press, Cambridge
35. Luenberger D.G. Microeconomic theory (1995), McGraw-Hill, New York
36. Matas A., and Raymond J.-L. Technical characteristics and efficiency of urban bus companies: The case of Spain. Transportation 25 3 (1998) 243-263
37. McMullen B.S., and Noh D.-W. Accounting for emissions in the measurement of transit agency efficiency: A directional distance function approach. Transportation Research 12D 1 (2007) 1-9
38. Nolan J.F., Ritchie P.C., and Rowcroft J.E. Identifying and measuring public policy goals: ISTEA and the US bus transit industry. Journal of Economic Behavior and Organization 48 3 (2002) 291-304
39. Odeck J. Congestion, ownership, region of operation, and scale: Their impact on bus operator performance in Norway. Socio-Economic Planning Sciences 40 1 (2006) 52-69
40. Odeck J., and Alkadi A. Evaluating efficiency in the Norwegian bus industry using Data Envelopment Analysis. Transportation 28 3 (2001) 211-232
41. Orme C., and Smith P.C. The potential for endogeneity bias in Data Envelopment Analysis. Journal of the Operational Research Society 47 1 (1996) 73-83
42. Pedraja-Chaparro F., Salinas-Jiménez J., and Smith P.C. On the quality of the Data Envelopment Analysis model. Journal of the Operational Research Society 50 6 (1999) 636-644
43. Pels E., and Rietveld P. Cost functions in transport. In: Hensher D.A., and Button K.J. (Eds). Handbook of transport modelling. 2nd ed. (2008), Elsevier, Amsterdam 381-393
44. Post T., Cherchye L., and Kuosmanen T. Non-parametric efficiency estimation in stochastic environments. Operations Research 50 4 (2002) 645-655
45. Roy W., and Yvrande-Billon A. Contractual practices and technical efficiency: The case of urban public transport in France. Journal of Transport Economics and Policy 41 2 (2007) 257-282
46. Sakano R., and Obeng K. Re-examination of inefficiencies in urban transit systems: A stochastic frontier approach. Logistics and Transportation Review 31 4 (1995) 377-392
47. Sickles R.C. Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings. Journal of Econometrics 126 2 (2005) 305-334
48. Silverman B.W. Density estimation for statistics and data analysis (1986), Chapman and Hall, London
49. Simar L., and Wilson P.W. Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Management Science 44 1 (1998) 49-61
50. Simar L., and Wilson P.W. Statistical inference in nonparametric frontier models: The state of the art. Journal of Productivity Analysis 13 1 (2000) 49-78
51. Simar L., and Wilson P.W. Non-parametric tests of returns to scale. European Journal of Operational Research 139 1 (2002) 115-132
52. Simar L., and Wilson P.W. Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics 136 1 (2007) 31-64
53. Simar L., and Wilson P.W. Statistical inference in nonparametric frontier models: Recent developments and perspectives. In: Fried H., Lovell C.A.K., and Schmidt S. (Eds). The measurement of productive efficiency and productivity change (2008), Oxford University Press, New York 421-521
54. Small K.A., and Verhoef E.T. The economics of urban transportation (2007), Routledge, London
55. Spady R.H., and Friedlander A.F. Hedonic cost functions for the regulated trucking industry. Bell Journal of Economics 9 1 (1978) 159-179
56. Waters II W.G. Productivity measurement. In: Hensher D.A., and Button K.J. (Eds). Handbook of transport modelling. 2nd ed. (2008), Elsevier, Amsterdam 395-415
57. Zhang Y., and Bartels R. The effect of sample size on the mean efficiency in DEA with an application to electricity distribution in Australia, Sweden and New Zealand. Journal of Productivity Analysis 9 3 (1998) 187-204