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SMOOTH QUANTILE-BASED MODELING OF BRAND SALES, PRICE AND PROMOTIONAL EFFECTS FROM RETAIL SCANNER PANELS
16 references·2 citing·44 second hop
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References

  • 1995Automobile Prices in Market Equilibrium4,939 cited
  • 2000Mixed MNL models for discrete response4,354 cited
  • 1994Estimating Discrete-Choice Models of Product Differentiation2,945 cited
  • 1989Handbooks in operations research and management science2,388 cited
  • 1995Product Differentiation and Oligopoly in International Markets: The Case of the U.S. Automobile Industry705 cited
  • 2000A quantile regression neural network approach to estimating the conditional density of multiperiod returns387 cited
  • 1991Market response models: Econometric and time series analysis356 cited
  • 1997Creating Micro-Marketing Pricing Strategies Using Supermarket Scanner Data233 cited
  • 1999Asymmetric and Neighborhood Cross-Price Effects: Some Empirical Generalizations170 cited
  • 2001Semiparametric Analysis to Estimate the Deal Effect Curve150 cited
  • 2008Using Exponentially Weighted Quantile Regression to Estimate Value at Risk and Expected Shortfall141 cited
  • 1999A Quantile Regression Approach to Estimating the Distribution of Multiperiod Returns137 cited
  • 1991Shrinkage Estimation of Price and Promotional Elasticities: Seemingly Unrelated Equations127 cited
  • 2006Forecasting daily supermarket sales using exponentially weighted quantile regression123 cited

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  • 1998Estimating Irregular Pricing Effects: A Stochastic Spline Regression Approach114 cited
  • 1999Estimating Price Elasticities with Theory-Based Priors71 cited
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    • 2020Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values43 cited
    • 2018Estimating time-varying parameters in brand choice models: A semiparametric approach15 cited