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Maximum likelihood estimation of linear expenditure systems with serially correlated errors : An application

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  • Green, Richard D.
  • Hassan, Zuhair A.
  • Johnson, Stanley R.

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  • Green, Richard D. & Hassan, Zuhair A. & Johnson, Stanley R., 1978. "Maximum likelihood estimation of linear expenditure systems with serially correlated errors : An application," European Economic Review, Elsevier, vol. 11(2), pages 207-219, August.
    • Handle: RePEc:eee:eecrev:v:11:y:1978:i:2:p:207-219
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    Cited by:

    1. Nabil Annabi & Youssef Boudribila & Simon Harvey, 2013. "Labour supply and income distribution effects of the working income tax benefit: a general equilibrium microsimulation analysis," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-33, December.
    2. Peguero, Felipe & Kennedy, P. Lynn & Zapata, Hector O., 2018. "A Generalized Dynamic Inverse AIDS Model for Fresh Fruits and Vegetables: An Application to the U.S. Bell Pepper Industry," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266686, Southern Agricultural Economics Association.
    3. Riaz, Khalid, 1994. "Food consumption patterns in rural Pakistan," ISU General Staff Papers 1994010108000011501, Iowa State University, Department of Economics.
    4. Kesavan, Thulasiram, 1988. "Monte Carlo experiments of market demand theory," ISU General Staff Papers 198801010800009854, Iowa State University, Department of Economics.
    5. Anastasios Xepapadeas & Hassini Habib, 1995. "An almost ideal demand system with autoregressive disturbances for dairy products in Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 2(6), pages 169-173.
    6. Capps, Oral, Jr., 1983. "Alternative Estimation Methods Of Nonlinear Demand Systems," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 8(1), pages 1-14, July.
    7. Washington, Andrew A. & Kilmer, Richard L., 2002. "The Derived Demand For Imported Cheese In Hong Kong," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 5(1), pages 1-12.

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