Missing price and coupon availability data in scanner panels: Correcting for the self-selection bias in choice model parameters
نویسندگان
چکیده
Discrete choice models have been widely estimated on scanner panel data to study consumer choice. One challenge in scanner panel research is that only the prices of the items bought are recorded. The ad hoc models used to fill in the missing prices of non-purchased brands may create a self-selection bias in estimating consumer price sensitivities. This type of bias is also present in existing studies of coupon effects. To obtain consistent estimates of price elasticities in the presence of missing price and coupon values, we estimate a brand choice model jointly with models for the price and coupon processes. ( 1999 Elsevier Science S.A. All rights reserved. JEL classification: C23; C25; M31
منابع مشابه
A method to infer coupon availability from coupon redemption in the supermarket scanner panel data
Measuring the impact of coupon availability on consumers’ purchase decisions often poses a problem in forecasting market shares of brands in a retail environment. Because, data on actual coupon availability do not exist or can only be obtained by costly field experiments. The widely used supermarket scanner panel data sets offer information on coupons redeemed by the household for only the spec...
متن کاملتحلیل درستنمایی ماکزیمم مدل رگرسیون لجستیک در حالتی که داده های متغیرهای پیشگو کامل نیستند ولی متغیرهای کمکی وجود دارند
Background and Objectives: Missing data exist in many studies, e.g. in regression models, and they decrease the model's efficacy. Many methods have been suggested for handling incomplete data: they have generally focused on missing outcome values. But covariate values can also be missing.Materials and Methods: In this paper we study the missing imputation by the EM algorithm and auxiliary varia...
متن کاملEstimation of Missing Daily Precipitation and Runoff Using Self-Organizing Map (A Case Study: Mazandaran Province)
Expert aquatic designers face many problems; among these, in hydrology, defective occurrences in time-series can cause errors in the ultimate results of the study. This more often happens in the regions where the number of hydrometric and rain gauge stations is limited. In addition, assessing, developing and maintaining the use of water resources require accessible long-term and high-quality qu...
متن کاملA Comparative Review of Selection Models in Longitudinal Continuous Response Data with Dropout
Missing values occur in studies of various disciplines such as social sciences, medicine, and economics. The missing mechanism in these studies should be investigated more carefully. In this article, some models, proposed in the literature on longitudinal data with dropout are reviewed and compared. In an applied example it is shown that the selection model of Hausman and Wise (1979, Econometri...
متن کاملInfluence of Pattern of Missing Data on Performance of Imputation Methods: An Example from National Data on Drug Injection in Prisons
Background Policy makers need models to be able to detect groups at high risk of HIV infection. Incomplete records and dirty data are frequently seen in national data sets. Presence of missing data challenges the practice of model development. Several studies suggested that performance of imputation methods is acceptable when missing rate is moderate. One of the issues which was of less concern...
متن کامل