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Demand-system estimation: Update

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Author Info

  • Brian P. Poi

    (StataCorp)

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    Abstract

    The nlsur command is better suited to demand-system estimation than the suite of ado-fifies provided in Poi (2002, Stata Journal 2: 403–410) because it is faster and requires only one ancillary ado-file. This article replicates the results presented in Poi (2002) by using nlsur instead of ml.

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    Bibliographic Info

    Article provided by StataCorp LP in its journal Stata Journal.

    Volume (Year): 8 (2008)
    Issue (Month): 4 (December)
    Pages: 554-556

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    Handle: RePEc:tsj:stataj:v:8:y:2008:i:4:p:554-556

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    Related research

    Keywords: nlsur; demand-system estimation; nonlinear estimation; maximum likelihood; demand equations;

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    Cited by:
    1. Preety Srivastava & Keith R. McLaren & Michael Wohlgenant & Xueyan Zhao, 2014. "Econometric Modelling of Price Response by Alcohol Types to Inform Alcohol Tax Policies," Monash Econometrics and Business Statistics Working Papers 5/14, Monash University, Department of Econometrics and Business Statistics.
    2. Tefera, Nigussie, 2012. "Welfare Impacts of Rising Food Prices in Rural Ethiopia: a Quadratic Almost Ideal Demand System Approach," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126698, International Association of Agricultural Economists.
    3. Petr Jansky, 2013. "Consumer Demand System Estimation and Value Added Tax Reforms in the Czech Republic," IFS Working Papers W13/20, Institute for Fiscal Studies.
    4. Ole Boysen, 2012. "A Food Demand System Estimation for Uganda," The Institute for International Integration Studies Discussion Paper Series iiisdp396, IIIS.

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