Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing

DOI10.1016/j.ejor.2019.02.058zbMath1431.62619OpenAlexW2920925540WikidataQ128263164 ScholiaQ128263164MaRDI QIDQ1737508

Daniel Guhl

Publication date: 23 April 2019

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2019.02.058

zbMATH Keywords

endogeneityheterogeneitytime-varying parametersretailingdiscrete choice

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Consumer behavior, demand theory (91B42)

Related Items (1)

Modeling price response from retail sales: an empirical comparison of models with different representations of heterogeneity

Cites Work

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