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Locating seasonal cycles in demand models

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  • Carlos Arnade
  • Daniel Pick
  • Mark Gehlhar

Abstract

An approach is offered that lets data determine the exact location of seasonal cycles. Rather than use deterministic variables that define the season, it allows seasonal cycles to be identified and modelled as dictated by the data in demand modelling framework.

Suggested Citation

  • Carlos Arnade & Daniel Pick & Mark Gehlhar, 2004. "Locating seasonal cycles in demand models," Applied Economics Letters, Taylor & Francis Journals, vol. 11(9), pages 533-535.
  • Handle: RePEc:taf:apeclt:v:11:y:2004:i:9:p:533-535 DOI: 10.1080/1350485042000230724
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    References listed on IDEAS

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    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 129-137.
    7. Kellie Curry Raper & Maria Namakhoye Wanzala & Rodolfo Nayga, 2002. "Food expenditures and household demographic composition in the US: a demand systems approach," Applied Economics, Taylor & Francis Journals, vol. 34(8), pages 981-992.
    8. Atanu Saha & Oral Capps & Patrick Byrne, 1997. "Calculating marginal effects in dichotomous - continuous models," Applied Economics Letters, Taylor & Francis Journals, vol. 4(3), pages 181-185.
    9. John L. Park & Rodney B. Holcomb & Kellie Curry Raper & Oral Capps, 1996. "A Demand Systems Analysis of Food Commodities by U.S. Households Segmented by Income," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 290-300.
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    Cited by:

    1. Harri, Ardian & Brorsen, B. Wade & Muhammad, Andrew & Anderson, John D., 2010. "Estimating a Demand System with Seasonally Differenced Data," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(02), May.
    2. Nzaku, Kilungu & Houston, Jack E., 2009. "Dynamic Estimation of U.S. Demand for Fresh Vegetable Imports," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 52209, Agricultural and Applied Economics Association.

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