Nonparametric Demand Estimation

Nonparametric Demand Estimation is a method in demand analysis that estimates consumer demand relationships without assuming a specific functional form, relying instead on flexible mathematical structures to uncover patterns directly from data.

86

Publications

6.7K

Citations

120

Authors

98

Institutions

Publications per year

2017–2026

18

Authors

120

  1. PA
    Philip A. Haile

    Yale University, United States

    8 publications · 489 citations

    8

    h-index

  2. RB
    Richard Blundell

    University College London, United Kingdom

    8 publications · 718 citations

    8

    h-index

  3. SB
    Steven Berry

    Yale University, United States

    8 publications · 489 citations

    8

    h-index

  4. KP
    Krishna Pendakur

    Simon Fraser University, Canada

    5 publications · 376 citations

    5

    h-index

  5. JA
    James A. Chalfant

    University of California, Davis, United States

    4 publications · 297 citations

    4

    h-index

1–5 of 120

Venues

  1. Econometrica

    12 publications · 2.9K citations

    12

    h-index

  2. SSRN Electronic Journal

    Repository · 7 publications · 333 citations

    7

    h-index

  3. Journal of Applied Econometrics

    5 publications · 345 citations

    5

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 4 publications · 120 citations

    4

    h-index

  5. Journal of Econometrics

    4 publications · 154 citations

    4

    h-index

1–5