Iqbal, Javed and Rawish, Abbas (2007): Market for statisticians in developing economies: The case study of Pakistan’s corporate sector.
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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.
Item Type: | MPRA Paper |
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Institution: | Department of Statistics University of Karachi and Monash University |
Original Title: | Market for statisticians in developing economies: The case study of Pakistan’s corporate sector |
Language: | English |
Keywords: | Statisticians; Count Data Modes; Poisson Regression; Negative Binomial Regression; Developing Economy |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities |
Item ID: | 3266 |
Depositing User: | Javed Iqbal |
Date Deposited: | 17 May 2007 |
Last Modified: | 01 Oct 2019 16:27 |
References: | Agresti A. (2002) Categorical Data Analysis (New York: John Wiley and Sons). Balance Sheet Analysis of Joint Stock Companies (2003) State Bank of Pakistan. Cameron, A.C. and Trivedi, P.K. (1986) Econometric models based on count data: Comparisons and applications of some estimators and tests, Journal of Applied Econometrics, 1, pp. 29-54. Cameron, A.C. and Trivedi. P.K. (1996) Count data models for financial data, Handbook of Statistics, 14, pp. 363-391 Cameron, A.C. and Trivedi. P.K. (1998) Regression analysis of count data, (Cambridge University Press). Cochran, G.W. (1986) Sampling Techniques, (New York: John Wiley). Industrial Almanac of Pakistan (2000) (Karachi: Vital Information Services). Shettle C. and Gaddy, C. (1998) The labor market for statisticians and other scientists, The American Statisticians, 52, pp. 295-302. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/3266 |