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Raising Farm Income in India: What Does a Simultaneous Quantile Regression Approach Tell?

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  • Das, R.

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  • Das, R., 2017. "Raising Farm Income in India: What Does a Simultaneous Quantile Regression Approach Tell?," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 30(Conferenc).
    • Handle: RePEc:ags:aerrae:265252
    DOI: 10.22004/ag.econ.265252
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    References listed on IDEAS

    as
    1. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    2. Reddy, D. Narasimha & Mishra, Srijit (ed.), 2009. "Agrarian Crisis in India," OUP Catalogue, Oxford University Press, number 9780195695953, Decembrie.
    3. Narayanamoorthy, A., 2013. "Profitability in Crops Cultivation in India: Some Evidence from Cost of Cultivation Survey Data," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 68(01), pages 1-18.
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    Cited by:

    1. Singh, Sukhpal, 2019. "Re-organising Agricultural Markets for Doubling Farmer Incomes in India: Relevance, Mechanisms and Role of Policy," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 74(03), July.
    2. Narayanamoorthy, A. & Sujitha, .S., 2021. "Trends and Determinants of Farmer Households’ Income in India: A Comprehensive Analysis of SAS Data," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 0(Number 4), December.
    3. A. Narayanamoorthy & Chandra, S. R. & Nuthalapati & Sujitha, K. S. & Suresh, R., 2022. "Dynamics of Farmers Income Growth: Regional and Sectoral Winners and Losers from Three-Time SAS Data," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 0(Number 3), September.

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    Agricultural and Food Policy;

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