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Determinants of Cherry Production and Marketing in Pakistan: A Propensity Score Matching Approach

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  • Ali, Akhter
  • Sharif, Muhammad
  • Mahmood, Khalid
  • Akmal, Nadeem

Abstract

In the current study determinants of cherry production and marketing in Pakistan are estimated. For the study cross sectional data set of 60 cherry producers was collected from Kalat and Ziarat districts of the Balochistan province. The analysis was carried out by employing a number of different econometric models and techniques like poison regression model was employed for estimating number of hectares under cherry orchard while logit model was employed for farmers’ decision making like selling at farm gate or taking the commodity to the market. Propensity score matching technique was employed for estimating the cherry net returns and cherry yield. The empirical results indicate that farmers selling cherry at market are obtaining higher net returns.

Suggested Citation

  • Ali, Akhter & Sharif, Muhammad & Mahmood, Khalid & Akmal, Nadeem, 2013. "Determinants of Cherry Production and Marketing in Pakistan: A Propensity Score Matching Approach," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 14(1), pages 1-14.
    • Handle: RePEc:ags:aergaa:253537
    DOI: 10.22004/ag.econ.253537
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    References listed on IDEAS

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    1. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    3. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    4. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
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