Causal Impact Analysis

Causal Impact Analysis is a statistical method used in demand planning that belongs to the class of causal inference techniques, specifically designed to estimate the effect of an intervention or event by comparing observed outcomes with counterfactual predictions derived from a probabilistic model of the pre-intervention period.

892

Publications

77.2K

Citations

2.2K

Authors

1K

Institutions

Publications per year

2017–2026

427

Authors

2.2K

  1. US
    Uta Schönberg

    University College London, United Kingdom

    6 publications · 833 citations

    6

    h-index

  2. JC
    John Cawley

    Cornell University, United States

    6 publications · 499 citations

    6

    h-index

  3. HF
    Hanming Fang

    University of Pennsylvania, United States

    6 publications · 788 citations

    6

    h-index

  4. SM
    Stephen Machin

    London School of Economics and Political Science, United Kingdom

    6 publications · 530 citations

    6

    h-index

  5. NM
    Neil M Davies

    University of Bristol, United Kingdom

    5 publications · 120 citations

    5

    h-index

1–5 of 2.2K

Venues

  1. SSRN Electronic Journal

    Repository · 118 publications · 6.1K citations

    40

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 39 publications · 1.6K citations

    19

    h-index

  3. Health Economics

    17 publications · 834 citations

    15

    h-index

  4. National Bureau of Economic Research

    Repository · 17 publications · 786 citations

    14

    h-index

  5. The Journal of Human Resources

    JHR · 10 publications · 1.2K citations

    10

    h-index

1–5