Input Demand Estimation

Input Demand Estimation is a methodological framework in economics that specifies the quantitative relationship between the quantity of inputs firms are willing to employ and the underlying determinants of input usage, such as input prices, output levels, and technological constraints, under the assumption of profit-maximizing or cost-minimizing behavior.

134

Publications

8.9K

Citations

228

Authors

135

Institutions

Publications per year

2017–2026

11

Authors

228

  1. CR
    C. Richard Shumway

    Texas A&M University, United States

    7 publications · 524 citations

    7

    h-index

  2. JV
    Joachim von Braun

    University of Bonn, Germany

    3 publications · 74 citations

    3

    h-index

  3. MG
    Mekbib G. Haile

    University of Bonn, Germany

    3 publications · 74 citations

    3

    h-index

  4. MK
    Matthias Kalkuhl

    Mercator Research Institute on Global Commons and Climate Change, Germany

    3 publications · 74 citations

    3

    h-index

  5. CJ
    Catherine J. Morrison

    Tufts University, United States

    3 publications · 271 citations

    3

    h-index

1–5 of 228

Venues

  1. American Journal of Agricultural Economics

    18 publications · 1.7K citations

    17

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 8 publications · 181 citations

    8

    h-index

  3. The Review of Economics and Statistics

    8 publications · 2.1K citations

    8

    h-index

  4. Agricultural Economics

    7 publications · 308 citations

    7

    h-index

  5. International Economic Review

    6 publications · 484 citations

    6

    h-index

1–5