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    Item Aggregates and Price Elasticity

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    https://www.riss.kr/link?id=A104855357

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study provides analytical results on the systematic relationship between the elasticities obtained from item-aggregated data and those from SKU level data. It is shown that the brand level (or any aggregate level) elasticities are share-weighted averages of SKU elasticities. As SKUs in a brand are substitutes each other in general, the own brand elasticities would be smaller in magnitude than the own SKU elasticities and the cross-brand elasticities will be larger than cross-SKU elasticities. It is also found that when the SKU level demand function is given by a homogeneous logit model with the latent utility being linear in price, the price sensitivity parameter estimated from the brand level data should be the same as that from SKU level data if the brand level model fits data well and the brand prices are given by the weighted averages of SKU prices with the weights being within-brand SKU shares.
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    This study provides analytical results on the systematic relationship between the elasticities obtained from item-aggregated data and those from SKU level data. It is shown that the brand level (or any aggregate level) elasticities are share-weighted ...

    This study provides analytical results on the systematic relationship between the elasticities obtained from item-aggregated data and those from SKU level data. It is shown that the brand level (or any aggregate level) elasticities are share-weighted averages of SKU elasticities. As SKUs in a brand are substitutes each other in general, the own brand elasticities would be smaller in magnitude than the own SKU elasticities and the cross-brand elasticities will be larger than cross-SKU elasticities. It is also found that when the SKU level demand function is given by a homogeneous logit model with the latent utility being linear in price, the price sensitivity parameter estimated from the brand level data should be the same as that from SKU level data if the brand level model fits data well and the brand prices are given by the weighted averages of SKU prices with the weights being within-brand SKU shares.

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    참고문헌 (Reference)

    1 Christen, M., S., "Using Market-Level Data to Understand Promotion Effects in a Nonlinear Model" 34 : 322-334, 1997

    2 Alleby, G. M., "There Is No Aggregation Bias: Why Macro Logit Models Work" 9 : 1-11, 1991

    3 Tellis, G. J., "The Price Elasticity of Selective Demand: A Meta- Analysis of Econometric Models of Sales" 25 : 331-341, 1988

    4 Bell, D. R., "Recovering Stockkeeping–Unit-Level Preferences and Response Sensitivities from Market Share Models Estimated on Item Aggregates" 42 : 169-182, 2005

    5 Bijmolt, T. H. A., "New Empirical Generalizations on the Determinants of Price Elasticity" 42 : 141-156, 2005

    6 Fader, P. S., "Modeling Consumer Choices amongSKUs" 33 : 441-452, 1996

    7 Hendel, I., "Measuring the Implications of Sales and Consumer Inventory Behavior" 74 (74): 1637-1673, 2006

    8 Deaton, A., "Economics and Consumer Behavior" Cambridge University Press 1980

    9 Gupta, S., "Do Household Scanner Data Provide Representative Inferences From Brand Choices: A Comparison With Store Data" 33 : 383-398, 1996

    10 Ben-Akiva, M., "Discrete Choice Analysis: Theory and Application to Travel Demand" MIT Press 1985

    1 Christen, M., S., "Using Market-Level Data to Understand Promotion Effects in a Nonlinear Model" 34 : 322-334, 1997

    2 Alleby, G. M., "There Is No Aggregation Bias: Why Macro Logit Models Work" 9 : 1-11, 1991

    3 Tellis, G. J., "The Price Elasticity of Selective Demand: A Meta- Analysis of Econometric Models of Sales" 25 : 331-341, 1988

    4 Bell, D. R., "Recovering Stockkeeping–Unit-Level Preferences and Response Sensitivities from Market Share Models Estimated on Item Aggregates" 42 : 169-182, 2005

    5 Bijmolt, T. H. A., "New Empirical Generalizations on the Determinants of Price Elasticity" 42 : 141-156, 2005

    6 Fader, P. S., "Modeling Consumer Choices amongSKUs" 33 : 441-452, 1996

    7 Hendel, I., "Measuring the Implications of Sales and Consumer Inventory Behavior" 74 (74): 1637-1673, 2006

    8 Deaton, A., "Economics and Consumer Behavior" Cambridge University Press 1980

    9 Gupta, S., "Do Household Scanner Data Provide Representative Inferences From Brand Choices: A Comparison With Store Data" 33 : 383-398, 1996

    10 Ben-Akiva, M., "Discrete Choice Analysis: Theory and Application to Travel Demand" MIT Press 1985

    11 Zanutto, E. L., "Data Pruning in Consumer Choice Models" 4 (4): 267-287, 2006

    12 Bucklin, R. E., "Commercial Use of UPC Scanner Data: Industry and Academic Perspectives" 18 (18): 247-273, 1999

    13 Erdem, T., "Brand and Quanitity Choice Dynamics Under Price Uncertainty" 1 (1): 5-64, 2003

    14 Ho, T., "A Parsimonious Model of Stockkeeping-Unit Choice" 40 : 351-365, 2003

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2023 평가 재인증평가 신청대상 (재인증)
    2020-01-01 등재 등재학술지 선정 (재인증) KCI등재
    2019-12-01 등재 등재후보로 하락 (계속평가) KCI등재후보
    2016-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2014-06-16 학회명변경 한글명 : 경영대학부속경영연구소 -> 경영연구소
    영문명 : The Institute of management Research, College of Business Administration SNU -> The Institute of management Research, SNU
    KCI등재
    2012-01-01 등재 등재 1차 FAIL (등재유지) KCI등재
    2009-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2008-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2006-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.13 0.13 0.08
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.06 0.06 0.716 0
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