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Market for statisticians in developing economies: The case study of Pakistan’s corporate sector

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  • Iqbal, Javed
  • Rawish, Abbas

Abstract

Statisticians are the professionals responsible for collection, presentation and analysis of data and help decision making in face of uncertainty. They are the backbone of any institution or activity facing decision under risk and uncertainty. Statistics provides a cost-effective solution for analyzing the data by making decision for a larger set of data based on information from only a smaller part of it. The professional services of statisticians are required in all fields of life for analyzing data and interpretation of the resulting output. Corporate sector is also an important employer of the services of statisticians. This paper is aimed at exploring the factors affecting market for statisticians in the corporate sector of a large urban centre of a developing country. An econometric analysis is carried out using a count data model to explain the factors responsible for the firms employing the services of statisticians. The Count Data models have found several applications in statistics, health economics, recreational studies and finance. This paper contributes to the literature by providing yet another interesting application of the count data model by examining the market for professionals.

Suggested Citation

  • Iqbal, Javed & Rawish, Abbas, 2007. "Market for statisticians in developing economies: The case study of Pakistan’s corporate sector," MPRA Paper 3266, University Library of Munich, Germany, revised 2006.
    • Handle: RePEc:pra:mprapa:3266
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    File URL: https://mpra.ub.uni-muenchen.de/3266/1/MPRA_paper_3266.pdf
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    References listed on IDEAS

    as
    1. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
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    More about this item

    Keywords

    Statisticians; Count Data Modes; Poisson Regression; Negative Binomial Regression; Developing Economy;
    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

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