Heteroscedastic Forecast Errors

Heteroscedastic Forecast Errors is a forecast error analysis construct characterized by non-constant variance of prediction errors across different levels of an independent variable or over time, thereby violating the homoscedasticity assumption required for many standard forecasting models.

183

Publications

10K

Citations

317

Authors

217

Institutions

Publications per year

2017–2026

23

Authors

317

  1. WA
    William A. Bomberger

    Florida College, United States

    4 publications · 145 citations

    4

    h-index

  2. DF
    David F. Hendry

    University of Oxford, United Kingdom

    3 publications · 139 citations

    3

    h-index

  3. RB
    Robert Brooks

    Monash University, Australia

    3 publications · 219 citations

    3

    h-index

  4. KL
    Kajal Lahiri

    University at Albany, State University of New York, United States

    3 publications · 141 citations

    3

    h-index

  5. DE
    David E. Runkle

    Federal Reserve Bank of Minneapolis, United States

    3 publications · 763 citations

    3

    h-index

1–5 of 317

Venues

  1. SSRN Electronic Journal

    Repository · 15 publications · 658 citations

    12

    h-index

  2. Journal of Forecasting

    8 publications · 361 citations

    8

    h-index

  3. The Journal of Finance

    6 publications · 240 citations

    6

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 5 publications · 243 citations

    5

    h-index

  5. Applied Economics Letters

    5 publications · 106 citations

    5

    h-index

1–5