Inflation Forecasting

Inflation Forecasting is a predictive modeling approach within the field of economic forecasting that specifically estimates future inflation rates by analyzing historical price data, macroeconomic indicators, and structural or statistical relationships to inform monetary policy and economic decision-making.

1.2K

Publications

70.1K

Citations

1.6K

Authors

714

Institutions

Publications per year

2017–2026

230

Authors

1.6K

  1. MP
    Michael P. Clements

    University of Warwick, United Kingdom

    14 publications · 554 citations

    13

    h-index

  2. DL
    Douglas Laxton

    International Monetary Fund, United States

    14 publications · 371 citations

    12

    h-index

  3. GK
    Gary Koop

    University of Strathclyde, United Kingdom

    12 publications · 1K citations

    11

    h-index

  4. GK
    George Kapetanios

    Queen Mary University of London, United Kingdom

    11 publications · 415 citations

    11

    h-index

  5. OC
    Olivier Coibion

    University of California, Berkeley, United States

    10 publications · 1.2K citations

    10

    h-index

1–5 of 1.6K

Venues

  1. SSRN Electronic Journal

    Repository · 249 publications · 8.4K citations

    44

    h-index

  2. Journal of money credit and banking

    52 publications · 6.1K citations

    37

    h-index

  3. International Journal of Forecasting

    49 publications · 2.3K citations

    31

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 77 publications · 2.7K citations

    26

    h-index

  5. Journal of Forecasting

    43 publications · 1.8K citations

    25

    h-index

1–5