Structural Demand Estimation

Structural Demand Estimation is a formal econometric methodology that belongs to the class of demand modeling techniques, which distinguishes itself by explicitly specifying and estimating the underlying economic behavior—such as consumer preferences and firm decision rules—using theoretical models grounded in microeconomic theory.

179

Publications

11.8K

Citations

325

Authors

197

Institutions

Publications per year

2017–2026

36

Authors

325

  1. EB
    Elena Belavina

    Cornell University, United States

    3 publications · 339 citations

    3

    h-index

  2. AD
    Angus Deaton

    Princeton University, United States

    3 publications · 158 citations

    3

    h-index

  3. KG
    Karan Girotra

    Cornell University, United States

    3 publications · 339 citations

    3

    h-index

  4. JL
    Jun Li

    University of Michigan, United States

    3 publications · 372 citations

    3

    h-index

  5. MW
    Michel Wedel

    University of Groningen, Netherlands

    2 publications · 218 citations

    2

    h-index

1–5 of 325

Venues

  1. SSRN Electronic Journal

    Repository · 24 publications · 734 citations

    16

    h-index

  2. Journal of Business and Economic Statistics

    JBES · 6 publications · 436 citations

    6

    h-index

  3. Management Science

    6 publications · 830 citations

    6

    h-index

  4. The Review of Economics and Statistics

    5 publications · 343 citations

    5

    h-index

  5. American Journal of Agricultural Economics

    5 publications · 355 citations

    5

    h-index

1–5