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A Theoretical Foundation for Count Data Models

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  • Hellerstein, Daniel
  • Mendelsohn, Robert

Abstract

The paper develops a theoretical foundation for using count data models in travel cost analysis. Two micro models are developed: a restricted choice model and a repeated discrete choice model. We show that both models lead to identical welfare measures.

Suggested Citation

  • Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:25265
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    References listed on IDEAS

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    1. Eichengreen, Barry & Rose, Andrew & Wyplosz, Charles, 1996. " Contagious Currency Crises: First Tests," Scandinavian Journal of Economics, Wiley Blackwell, vol. 98(4), pages 463-484, December.
    2. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    3. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    4. Guillermo A. Calvo & Carmen M. Reinhart, 2002. "Fear of Floating," The Quarterly Journal of Economics, Oxford University Press, vol. 117(2), pages 379-408.
    5. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. De.
    6. Siregar, Reza Yamora & Lim & C.S. Vincent, 2010. "The Role of Central Banks in Sustaining Economic Recovery and in Achieving Financial Stability," Staff Papers, South East Asian Central Banks (SEACEN) Research and Training Centre, number sp74.
    7. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    8. Miguel A Savastano & Paul R Masson & Sunil Sharma, 1997. "The Scope for Inflation Targeting in Developing Countries," IMF Working Papers 97/130, International Monetary Fund.
    9. Svensson, Lars E. O., 2000. "Open-economy inflation targeting," Journal of International Economics, Elsevier, vol. 50(1), pages 155-183, February.
    10. Almekinders, Geert J. & Eijffinger, Sylvester C. W., 1996. "A friction model of daily Bundesbank and Federal Reserve intervention," Journal of Banking & Finance, Elsevier, vol. 20(8), pages 1365-1380, September.
    11. Nicoletta Batini & Andrew Haldane, 1999. "Forward-Looking Rules for Monetary Policy," NBER Chapters,in: Monetary Policy Rules, pages 157-202 National Bureau of Economic Research, Inc.
    12. Stanley Fischer, 2001. "Exchange Rate Regimes: Is the Bipolar View Correct?," Journal of Economic Perspectives, American Economic Association, vol. 15(2), pages 3-24, Spring.
    13. Ramachandran, M. & Srinivasan, Naveen, 2007. "Asymmetric exchange rate intervention and international reserve accumulation in India," Economics Letters, Elsevier, vol. 94(2), pages 259-265, February.
    14. Pontines, Victor & Rajan, Ramkishen S., 2011. "Foreign exchange market intervention and reserve accumulation in emerging Asia: Is there evidence of fear of appreciation?," Economics Letters, Elsevier, vol. 111(3), pages 252-255, June.
    15. Naveen Srinivasan & Vidya Mahambare & M. Ramachandran, 2009. "Preference asymmetry and international reserve accretion in India," Applied Economics Letters, Taylor & Francis Journals, vol. 16(15), pages 1543-1546.
    16. Hyginus Leon & Serineh Najarian, 2005. "Asymmetric adjustment and nonlinear dynamics in real exchange rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(1), pages 15-39.
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    More about this item

    Keywords

    count data; repeat discrete choice; travel cost analysis; welfare analysis.;

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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