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Klaus-Peter Hellwig

Personal Details

First Name:Klaus-Peter
Middle Name:
Last Name:Hellwig
Suffix:
RePEc Short-ID:phe741
[This author has chosen not to make the email address public]

Affiliation

International Monetary Fund (IMF)

Washington, District of Columbia (United States)
http://www.imf.org/
RePEc:edi:imfffus (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Klaus-Peter Hellwig, 2021. "Predicting Fiscal Crises: A Machine Learning Approach," IMF Working Papers 2021/150, International Monetary Fund.
  2. Klaus-Peter Hellwig, 2021. "Supply and Demand Effects of Unemployment Insurance Benefit Extensions: Evidence from U.S. Counties," IMF Working Papers 2021/070, International Monetary Fund.
  3. Mr. Paolo Dudine & Klaus-Peter Hellwig & Samir Jahan, 2020. "A Framework for Estimating Health Spending in Response to COVID-19," IMF Working Papers 2020/145, International Monetary Fund.
  4. Klaus-Peter Hellwig, 2020. "Identifying Reform Priorities: The Role of Non-linearities," IMF Working Papers 2020/278, International Monetary Fund.
  5. Hans Weisfeld & Mr. Irineu E de Carvalho Filho & Mr. Fabio Comelli & Rahul Giri & Klaus-Peter Hellwig & Chengyu Huang & Fei Liu & Mrs. Sandra V Lizarazo Ruiz & Alexis Meyer-Cirkel & Mr. Andrea F Presb, 2020. "Predicting Macroeconomic and Macrofinancial Stress in Low-Income Countries," IMF Working Papers 2020/289, International Monetary Fund.
  6. Mr. Fabien Gonguet & Klaus-Peter Hellwig, 2019. "Public Wealth in the United States," IMF Working Papers 2019/139, International Monetary Fund.
  7. Klaus-Peter Hellwig, 2018. "Overfitting in Judgment-based Economic Forecasts: The Case of IMF Growth Projections," IMF Working Papers 2018/260, International Monetary Fund.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Klaus-Peter Hellwig, 2021. "Predicting Fiscal Crises: A Machine Learning Approach," IMF Working Papers 2021/150, International Monetary Fund.

    Cited by:

    1. Valencia, Oscar & Parra, Diego A. & Díaz, Juan Camilo, 2022. "Assessing Macro-Fiscal Risk for Latin American and Caribbean Countries," IDB Publications (Working Papers) 12482, Inter-American Development Bank.
    2. Casabianca, Elizabeth Jane & Catalano, Michele & Forni, Lorenzo & Giarda, Elena & Passeri, Simone, 2022. "A machine learning approach to rank the determinants of banking crises over time and across countries," Journal of International Money and Finance, Elsevier, vol. 129(C).
    3. Osband, Kent & Filoso, Valerio & Capasso, Salvatore, 2024. "The limits of limitless debt," Journal of Macroeconomics, Elsevier, vol. 79(C).
    4. Moreno Badia, Marialuz & Medas, Paulo & Gupta, Pranav & Xiang, Yuan, 2022. "Debt is not free," Journal of International Money and Finance, Elsevier, vol. 127(C).
    5. Raffaele De Marchi & Alessandro Moro, 2023. "Forecasting fiscal crises in emerging markets and low-income countries with machine learning models," Temi di discussione (Economic working papers) 1405, Bank of Italy, Economic Research and International Relations Area.
    6. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.

  2. Klaus-Peter Hellwig, 2021. "Supply and Demand Effects of Unemployment Insurance Benefit Extensions: Evidence from U.S. Counties," IMF Working Papers 2021/070, International Monetary Fund.

    Cited by:

    1. Andreas Hornstein & Marios Karabarbounis & Andre Kurmann & Etienne Lale & Lien Ta, 2023. "Disincentive Effects of Unemployment Insurance Benefits," Working Paper 23-11, Federal Reserve Bank of Richmond.

  3. Mr. Paolo Dudine & Klaus-Peter Hellwig & Samir Jahan, 2020. "A Framework for Estimating Health Spending in Response to COVID-19," IMF Working Papers 2020/145, International Monetary Fund.

    Cited by:

    1. Julio Emilio Marco-Franco & Pedro Pita-Barros & Silvia González-de-Julián & Iryna Sabat & David Vivas-Consuelo, 2021. "Simplified Mathematical Modelling of Uncertainty: Cost-Effectiveness of COVID-19 Vaccines in Spain," Mathematics, MDPI, vol. 9(5), pages 1-15, March.

  4. Klaus-Peter Hellwig, 2018. "Overfitting in Judgment-based Economic Forecasts: The Case of IMF Growth Projections," IMF Working Papers 2018/260, International Monetary Fund.

    Cited by:

    1. Philippe Goulet Coulombe, 2020. "To Bag is to Prune," Papers 2008.07063, arXiv.org, revised Jun 2021.
    2. María Paula Bonel & Daniel J. Aromí, 2021. "Assessing GDP forecasts from autoregressive models: the impact of model complexity and training dataset," Asociación Argentina de Economía Política: Working Papers 4440, Asociación Argentina de Economía Política.
    3. Philippe Goulet Coulombe, 2021. "To Bag is to Prune," Working Papers 21-03, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Jun 2021.
    4. Karminsky, A. & Dyachkova, N., 2020. "Empirical study of the relationship between credit cycles and changes in credit ratings," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 138-160.
    5. Jorge Fornero & Andrés Gatty, 2020. "Back testing fan charts of activity and inflation: the Chilean case," Working Papers Central Bank of Chile 881, Central Bank of Chile.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CMP: Computational Economics (2) 2021-12-06 2021-12-20. Author is listed
  2. NEP-MAC: Macroeconomics (2) 2021-12-13 2021-12-20. Author is listed
  3. NEP-BAN: Banking (1) 2021-12-20
  4. NEP-BIG: Big Data (1) 2021-12-06
  5. NEP-CWA: Central and Western Asia (1) 2021-12-20
  6. NEP-ENV: Environmental Economics (1) 2021-01-11
  7. NEP-FDG: Financial Development and Growth (1) 2021-12-20
  8. NEP-HEA: Health Economics (1) 2021-01-25
  9. NEP-IAS: Insurance Economics (1) 2021-12-13
  10. NEP-PKE: Post Keynesian Economics (1) 2021-12-13

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