Estimating Very Large Demand Systems
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- Joshua Lanier & Jeremy Large & John Quah, 2022. "Estimating very large demand systems," Economics Series Working Papers 998, University of Oxford, Department of Economics.
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More about this item
Keywords
discrete choice; demand estimation; negative sampling; machine learning; scanner data;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
- L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2023-03-06 (Big Data)
- NEP-CMP-2023-03-06 (Computational Economics)
- NEP-COM-2023-03-06 (Industrial Competition)
- NEP-DCM-2023-03-06 (Discrete Choice Models)
- NEP-ECM-2023-03-06 (Econometrics)
- NEP-UPT-2023-03-06 (Utility Models and Prospect Theory)
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