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Public bus transport demand elasticities in India

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  • Filippini Massimo

    () (Istituto Mecop, Università della Svizzera italiana)

  • Deb Kaushik

    () (TERI University, New Delhi, India)

Abstract

A number of static and dynamic specifications of a log linear demand function for public transport are estimated using aggregate panel data for 22 Indian states over the period 1990 to 2001. Demand has been defined as total passenger kilometers to capture actual market transactions, while the regressors include public transit fare, per capita income, service quality, and other demographic and social variables. In all cases, transit demand is significant and inelastic to the fare. Service quality is the most significant policy variable. Finally, social and demographic variables highlight the complex nature of public bus transit demand in India.

Suggested Citation

  • Filippini Massimo & Deb Kaushik, 2010. "Public bus transport demand elasticities in India," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1002, USI Università della Svizzera italiana.
  • Handle: RePEc:lug:wpaper:1002
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    References listed on IDEAS

    as
    1. Goodwin, P. B. & Williams, H. C. W. L., 1985. "Public transport demand models and elasticity measures: An overview of recent British experience," Transportation Research Part B: Methodological, Elsevier, vol. 19(3), pages 253-259, June.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Appelbaum, Elie & Berechman, Joseph, 1991. "Demand conditions, regulation, and the measurement of productivity," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 379-400, February.
    4. Peter Romilly, 2001. "Subsidy and Local Bus Service Deregulation in Britain: A Re-evaluation," Journal of Transport Economics and Policy, University of Bath, vol. 35(2), pages 161-193, May.
    5. Anna Matas, 2003. "Demand and revenue implications of an integrated public transport policy. The case of," Working Papers wpdea0304, Department of Applied Economics at Universitat Autonoma of Barcelona.
    6. Joyce M. Dargay & Mark Hanly, 2002. "The Demand for Local Bus Services in England," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 73-91, January.
    7. Baltagi, Badi H., 1986. "Pooling Under Misspecification: Some Monte Carlo Evidence on the Kmenta and the Error Components Techniques," Econometric Theory, Cambridge University Press, vol. 2(03), pages 429-440, December.
    8. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    9. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    10. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    11. Abrate, Graziano & Piacenza, Massimiliano & Vannoni, Davide, 2009. "The impact of Integrated Tariff Systems on public transport demand: Evidence from Italy," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 120-127, March.
    12. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    13. Bresson, Georges & Dargay, Joyce & Madre, Jean-Loup & Pirotte, Alain, 2003. "The main determinants of the demand for public transport: a comparative analysis of England and France using shrinkage estimators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(7), pages 605-627, August.
    14. Cameron,A. Colin & Trivedi,Pravin K., 2008. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9787111235767, March.
    15. Clements, Kenneth W & Selvanathan, Saroja, 1994. "Understanding Consumption Patterns," Empirical Economics, Springer, vol. 19(1), pages 69-110.
    16. Sevestre, P. & Trognon, A., 1985. "A note on autoregressive error components models," Journal of Econometrics, Elsevier, vol. 28(2), pages 231-245, May.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    18. Mohring, Herbert, 1970. "The Peak Load Problem with Increasing Returns and Pricing Constraints," American Economic Review, American Economic Association, vol. 60(4), pages 693-705, September.
    19. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
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    Cited by:

    1. Appelbaum, Elie & Berechman, Joseph, 1991. "Demand conditions, regulation, and the measurement of productivity," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 379-400, February.
    2. Satyanarayan Kothe, 2014. "Price and Income Elasticity of Demand for Services in India: A Macro Analysis," EcoMod2014 7355, EcoMod.
    3. Manel Daldoul & Sami Jarboui & Ahlem Dakhlaoui, 2016. "Public transport demand: dynamic panel model analysis," Transportation, Springer, vol. 43(3), pages 491-505, May.
    4. Claudiu URSU & Alina MOROSANU, 2013. "Statistical Evaluation Of Regional Differences Regarding Passenger Cars Fleet Concentration From Romania, In 2007-2012," Romanian Statistical Review, Romanian Statistical Review, vol. 61(10), pages 13-22, November.
    5. Deb, Kaushik & Filippini, Massimo, 2011. "Estimating welfare changes from efficient pricing in public bus transit in India," Transport Policy, Elsevier, vol. 18(1), pages 23-31, January.

    More about this item

    Keywords

    Demand Elasticities; Dynamic Panel Data; Bus Transport; India;

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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