IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/29652.html
   My bibliography  Save this paper

Independent Candidates in a Parliamentary Election in India: A Poisson Regression Model

Author

Listed:
  • Bhattacharya, Kaushik

Abstract

The paper attempts to explain the number of independent candidates in Indian parliamentary election in the year 2004. The statistical models developed are applications and generalizations of Poisson and Negative Binomial distributions. Our results suggest that the distribution of independent candidates can be explained well with a negative binomial probability model or its generalizations. Our results also help to identify three major factors behind the variations in the number of independent candidates. First, a major determinant of the number of independent candidates is political fractionalization. Results suggest that the number of non-independent candidates would typically lead to more independent candidates in the fray. Interestingly, our analysis points out that the major determinant appears to be political fractionalization at the State level rather than at the constituency itself. Second, we find some indirect evidence of presence of free riders. Free riders typically stand in urban constituencies and against the so called VIP candidates. Third, our results suggest that SC and ST constituencies would have typically lower number of independent candidates due to lack of potential candidates as compared to general constituencies.

Suggested Citation

  • Bhattacharya, Kaushik, 2010. "Independent Candidates in a Parliamentary Election in India: A Poisson Regression Model," MPRA Paper 29652, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:29652
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/29652/1/MPRA_paper_29652.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    2. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    3. Wedel, M, et al, 1993. "A Latent Class Poisson Regression Model for Heterogeneous Count Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(4), pages 397-411, Oct.-Dec..
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gourieroux, C. & Visser, M., 1997. "A count data model with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 79(2), pages 247-268, August.
    2. KENNETH C. LAND & PATRICIA L. McCALL & DANIEL S. NAGIN, 1996. "A Comparison of Poisson, Negative Binomial, and Semiparametric Mixed Poisson Regression Models," Sociological Methods & Research, , vol. 24(4), pages 387-442, May.
    3. Óscar Lourenço & Carlota Quintal & Pedro Lopes Ferreira & Pedro Pita Barros, 2007. "A equidade na utilização de cuidados de saúde em Portugal: Uma avaliação baseada em modelos de contagem," Notas Económicas, Faculty of Economics, University of Coimbra, issue 25, pages 6-26, June.
    4. Christopher J. W. Zorn, 1998. "An Analytic and Empirical Examination of Zero-Inflated and Hurdle Poisson Specifications," Sociological Methods & Research, , vol. 26(3), pages 368-400, February.
    5. Niklas Elert, 2014. "What determines entry? Evidence from Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 55-92, August.
    6. Gurmu, Shiferaw & Rilstone, Paul & Stern, Steven, 1998. "Semiparametric estimation of count regression models1," Journal of Econometrics, Elsevier, vol. 88(1), pages 123-150, November.
    7. Ulf‐ G. Gerdtham, 1997. "Equity in Health Care Utilization: Further Tests Based on Hurdle Models and Swedish Micro Data," Health Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 303-319, May.
    8. Filippo Belloc & Eleonora Laurenza & M. Alessandra Rossi, 2016. "Corporate governance effects on innovation when both agency costs and asset specificity matter," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(6), pages 977-999.
    9. Sarker, Rakhal & Surry, Yves R., 2003. "The Fast Decay Process In Recreational Demand Activities And The Use Of Alternative Count Data Models," Working Papers 34147, University of Guelph, Department of Food, Agricultural and Resource Economics.
    10. Massimo Filippini & Giuliano Masiero & Diego Medici, 2012. "The demand for school meals: an analysis of stated choices by Swiss households," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1204, USI Università della Svizzera italiana.
    11. José M. R. Murteira & Mário A. G. Augusto, 2017. "Hurdle models of repayment behaviour in personal loan contracts," Empirical Economics, Springer, vol. 53(2), pages 641-667, September.
    12. Rainer Winkelmann, 2015. "Counting on count data models," IZA World of Labor, Institute of Labor Economics (IZA), pages 148-148, May.
    13. Jeremy Foltz & Bradford Barham & Kwansoo Kim, 2000. "Universities and agricultural biotechnology patent production," Agribusiness, John Wiley & Sons, Ltd., vol. 16(1), pages 82-95.
    14. Majo, M.C., 2010. "A microeconometric analysis of health care utilization in Europe," Other publications TiSEM 1cf5fd2f-8146-4ef8-8eb5-e, Tilburg University, School of Economics and Management.
    15. Buddhavarapu, Prasad & Scott, James G. & Prozzi, Jorge A., 2016. "Modeling unobserved heterogeneity using finite mixture random parameters for spatially correlated discrete count data," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 492-510.
    16. Gamba, Simona, 2017. "The Effect of Intellectual Property Rights on Domestic Innovation in the Pharmaceutical Sector," World Development, Elsevier, vol. 99(C), pages 15-27.
    17. João Cotter Salvado, 2008. "The Determinants of Health Care Utilization in Portugal: An Approach with Count Data Models," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(III), pages 437-458, September.
    18. McLeod, Logan, 2011. "A nonparametric vs. latent class model of general practitioner utilization: Evidence from Canada," Journal of Health Economics, Elsevier, vol. 30(6), pages 1261-1279.
    19. Xiaodi Xie, 1997. "Children and female labour supply behaviour," Applied Economics, Taylor & Francis Journals, vol. 29(10), pages 1303-1310.
    20. Margarita E. Romero Rodríguez & Enrique Los Arcos & Victor Cano Fernández & Miguel Sánchez Padrón, 2001. "Modelo para datos de recuentro de corte transversal con exceso de ceros. Aplicación a citas patentes," Documentos de trabajo conjunto ULL-ULPGC 2001-05, Facultad de Ciencias Económicas de la ULPGC.

    More about this item

    Keywords

    Independent Candidates; Election; Poisson; Negative Binomial;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:29652. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.