Skip to main content
Log in

Managerial psychology and transport firms efficiency: a stochastic frontier analysis

  • Original Paper
  • Published:
Review of Managerial Science Aims and scope Submit manuscript

Abstract

This paper presents an original essay that explains how managerial psychology affects the efficiency of transport firms. Stochastic frontier analysis methods are applied to our sample over a 12-year period from 2000 to 2011, where we aim to detect the potential effect of a well-documented bias in behavioral economic and finance theory: the managerial optimism bias. We initiate a debate concerning the potential role of Chief Executive Officers’ (CEO) irrationalities in explaining the inefficiency of public transport operators, such as the shortfall between the optimal production function and the observed production level. We find strong evidence of the negative impact of CEOs’ optimism bias on transport firms’ technical efficiency, meaning that managerial optimism decreases transport firms’ technical efficiency.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. It is noteworthy that the gamma value cannot be considered to be a proportion of the variance of the technical inefficiency effects in relation to the total of the variances of the technical inefficiency effects and the random variation (Coelli and Battese 1996).

References

  • Aggarwal R (2014) Animal spirits in financial economics: a review of deviations from economic rationality. Int Rev Financ Anal 32:179–187

    Article  Google Scholar 

  • Aggarwal R, Zong S (2008) Behavioral biases in forward rates as forecasts of future exchange rates: evidence of systematic pessimism and under-reaction. Multinatl Finance J 12(3):241–277

    Article  Google Scholar 

  • Aggarwal R, Lucey BM, O’Connor FA (2014) Rationality in precious metals forward markets: evidence of behavioural deviations in the gold markets. J Multinatl Financ Manag (forthcoming). Available at SSRN:http://ssrn.com/abstract=2437444

  • Barnum DT, Karlaftis MG, Tandon S (2011) Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers. Transp Res Part E Logist Transp Rev 47:1160–1176

    Article  Google Scholar 

  • Barros CP, Peypoch N (2010) Productivity changes in Portuguese bus companies. Transp Policy 17(5):295–302

    Article  Google Scholar 

  • Battese GE, Coelli TJ (1995) A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empir Econ 20:325–332

    Article  Google Scholar 

  • Brown R, Sarma N (2007) CEO overconfidence, CEO dominance and corporate acquisitions. J Econom Bus 59(5):358–379

    Article  Google Scholar 

  • Buehler R, Griffin D, Ross M (1994) Exploring the “planning fallacy”: why people underestimate their task completion times. J Pers Soc Psychol 67:366–381

    Article  Google Scholar 

  • Campbell J (2000) Strategic asset allocation: portfolio choice for long-term investors. NBER Reporter, pp 8–13

  • Chu X, Fielding GJ, Lamar BW (1992) Measuring transit performance using data envelopment analysis. Transp Res Part A Policy Pract 26(3):223–230

    Article  Google Scholar 

  • Coelli TJ (1996) A guide to Frontier Version 4.1: A computer program. University of New England, Armidale, Australia

  • Coelli TJ, Battese GE (1996) Identification of factors which influence the technical inefficiency of Indian farmers. Aust J Agric Resour Econ 40(2):103–128

  • De Borger B, Kerstens K, Costa Á (2002) Public transit performance: what does one learn from frontier studies? Transp Rev 22(1):1–38

  • Habib MA, Ljungqvist AP (2005) Firm value and managerial incentives. J Bus 78(6):2053–2094

    Article  Google Scholar 

  • Hayward M, Hambrick D (1997) Explaining the premiums paid for large acquisitions: evidence of CEO hubrfs. Adm Sci Quart 42:103–127

    Article  Google Scholar 

  • Heaton JB (2002) Managerial optimism and corporate finance. Financ Manag 31(2):33–45

    Article  Google Scholar 

  • Huang W et al (2011) Agency cost, top executives’ overconfidence, and investment-cash flow sensitivity: evidence from listed companies in China. Pac Basin Finance J 19:261–277

    Article  Google Scholar 

  • Jarboui S, Boujelbene Y (2012) The behavioral approach and the rationality of economic decisions: application to banks managers. Glob Bus Manag Res Int J 4(2):205–219

    Google Scholar 

  • Jarboui S, Forget P, Boujelbene Y (2012) Public road transport efficiency: a literature review via the classification scheme. Public Transp 4(2):101–128

    Article  Google Scholar 

  • Jarboui S, Forget P, Boujelbene Y (2013a) Efficiency evaluation in public road transport: a stochastic frontier analysis. Transport. doi:10.3846/16484142.2013.78019

  • Jarboui S, Forget P, Boujelbene Y (2013b) Public road transport efficiency: a stochastic frontier analysis. J Transp Syst Eng Inf Technol 13(5):64–71

    Google Scholar 

  • Jarboui S, Forget P, Boujelbene Y (2014) Inefficiency of public road transport and internal corporate governance mechanisms. Case Stud Transp Policy 2(3):153–167

  • Kahneman D, Tversky A (1979) Prospect theory: an analysis of decision under risk. Econometrica 47:313–327

    Article  Google Scholar 

  • Karlaftis MG (2009) Ownership and competition in European transit: assessing efficiency. Transportmetrica 6(2):143–160

  • Karlaftis MG, Tsamboulas D (2012) Efficiency measurement in public transport: are findings specification sensitive? Transp Res Part A 46:392–402

    Google Scholar 

  • Kumar S (2011) State road transport undertakings in India: technical efficiency and its determinants. Benchmarking Internat J 18(5):616–643

    Article  Google Scholar 

  • Lin Y, Hu S, Chen M (2005) Managerial optimism and corporate investment: some empirical evidence from Taiwan. Pac Basin Finance J 13:523–546

    Article  Google Scholar 

  • Malmendier U, Tate G (2005a) CEO overconfidence and corporate investment. J Finance 60(6):2661–2700

  • Malmendier U, Tate G (2005b) Does overconfidence affect corporate investment? CEO overconfidence measures revisited. Eur Financ Manag 11(5):649–659

    Article  Google Scholar 

  • Malmendier U, Tate G (2008) Who makes acquisitions? CEO overconfidence and the market’s reaction. J Financ Econ 89(1):20–43

    Article  Google Scholar 

  • Oliveira A (2007) A discussion of rational and psychological decision-making theories and models: the search for a cultural-ethical decision-making model. Electron J Bus Ethics Org Stud 12(2):12–17

    Google Scholar 

  • Pawlina G, Renneboog LDR (2005) Is investment-cash flow sensitivity caused by agency costs or asymmetric information? Evidence from the UK. Eur Financ Manag 11(4):483–513

    Article  Google Scholar 

  • Saxena P, Saxena RR (2010) Measuring efficiencies in Indian public road transit: a data envelopment analysis approach. Opsearch 47(3):195–204

    Article  Google Scholar 

  • Simon HA (1980) The behavioral and social sciences. Science 209:72–78

    Article  Google Scholar 

  • Sivanathan N, Galinsky AD (2007) Power and overconfidence. Working paper. IACM

  • Weinstein ND (1980) Unrealistic optimism about future life events. J Pers Soc Psychol 39:806–820

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sami Jarboui.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jarboui, S. Managerial psychology and transport firms efficiency: a stochastic frontier analysis. Rev Manag Sci 10, 365–379 (2016). https://doi.org/10.1007/s11846-014-0149-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11846-014-0149-1

Keywords

JEL Classification

Navigation