Leading Indicator Models

Leading Indicator Models is a forecasting framework that belongs to the class of econometric models which utilize time-series data on variables that systematically precede changes in aggregate economic activity to predict future trends in aggregate demand.

233

Publications

14.9K

Citations

413

Authors

224

Institutions

Publications per year

2017–2026

34

Authors

413

  1. JH
    James H. Stock

    Harvard University, United States

    8 publications · 3.3K citations

    8

    h-index

  2. VZ
    Victor Zarnowitz

    University of Chicago, United States

    7 publications · 448 citations

    7

    h-index

  3. MM
    Massimiliano Marcellino

    Bocconi University, Italy

    6 publications · 393 citations

    6

    h-index

  4. MW
    Mark W. Watson

    Princeton University, United States

    6 publications · 3.3K citations

    6

    h-index

  5. AO
    Ataman Ozyildirim

    Conference Board, United States

    5 publications · 140 citations

    5

    h-index

1–5 of 413

Venues

  1. SSRN Electronic Journal

    Repository · 32 publications · 1.4K citations

    18

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 24 publications · 944 citations

    16

    h-index

  3. International Journal of Forecasting

    11 publications · 425 citations

    11

    h-index

  4. Journal of Forecasting

    13 publications · 529 citations

    11

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 9 publications · 2.9K citations

    9

    h-index

1–5