Econometric Demand Models

Econometric Demand Models is a statistical modeling framework that belongs to the class of quantitative forecasting methods and is distinguished by its use of economic theory and historical data to estimate and predict aggregate demand relationships through regression-based techniques.

1.5K

Publications

96K

Citations

2.6K

Authors

1K

Institutions

Publications per year

2017–2026

182

Authors

2.6K

  1. RB
    Richard Blundell

    University College London, United Kingdom

    12 publications · 3.6K citations

    12

    h-index

  2. AL
    Arthur Lewbel

    Boston College, United States

    11 publications · 2.9K citations

    11

    h-index

  3. HT
    Henri Theil

    University of Chicago, United States

    10 publications · 709 citations

    10

    h-index

  4. TW
    Terence Wales

    University of British Columbia, Canada

    9 publications · 1.7K citations

    9

    h-index

  5. HS
    Haiyan Song

    Hong Kong Polytechnic University, Hong Kong SAR China

    8 publications · 1.1K citations

    8

    h-index

1–5 of 2.6K

Venues

  1. The Review of Economics and Statistics

    64 publications · 5.7K citations

    35

    h-index

  2. American Journal of Agricultural Economics

    46 publications · 3.8K citations

    30

    h-index

  3. Econometrica

    35 publications · 14.4K citations

    29

    h-index

  4. Applied Economics

    57 publications · 2.4K citations

    28

    h-index

  5. SSRN Electronic Journal

    Repository · 64 publications · 2K citations

    27

    h-index

1–5