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Integrated measures of sales, merchandising, and distribution

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  • Little, John D. C.

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  • Little, John D. C., 1998. "Integrated measures of sales, merchandising, and distribution," Working papers WP 3997-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    • Handle: RePEc:mit:sloanp:2692
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    File URL: http://hdl.handle.net/1721.1/2692
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    References listed on IDEAS

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    1. Foekens, Eijte W. & Leeflang, Peter S. H. & Wittink, Dick R., 1994. "A comparison and an exploration of the forecasting accuracy of a loglinear model at different levels of aggregation," International Journal of Forecasting, Elsevier, vol. 10(2), pages 245-261, September.
    2. Allenby, Greg M & Rossi, Peter E, 1991. "There Is No Aggregate Bias: Why Macro Logit Models Work," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 1-14, January.
    3. Magid M. Abraham & Leonard M. Lodish, 1993. "An Implemented System for Improving Promotion Productivity Using Store Scanner Data," Marketing Science, INFORMS, vol. 12(3), pages 248-269.
    4. Allenby, G.M. & Rossi, P.E., 1988. "There Is No Aggregation Bias: Why Macro Logit Models Work," Papers 88-62, Chicago - Graduate School of Business.
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    Cited by:

    1. Hernán A. Bruno & Naufel J. Vilcassim, 2008. "—Structural Demand Estimation with Varying Product Availability," Marketing Science, INFORMS, vol. 27(6), pages 1126-1131, 11-12.
    2. Thomassey, Sébastien, 2010. "Sales forecasts in clothing industry: The key success factor of the supply chain management," International Journal of Production Economics, Elsevier, vol. 128(2), pages 470-483, December.
    3. Andre Bonfrer & Ernst R. Berndt & Alvin Silk, 2006. "Anomalies in Estimates of Cross-Price Elasticities for Marketing Mix Models: Theory and Empirical Test," NBER Working Papers 12756, National Bureau of Economic Research, Inc.

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    HD28 .M414 no.3997-98;

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