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Measuring Uncertainty about Long-Run Predictions

Citations

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Cited by:

  1. Rhys Bidder & Ian Dew-Becker, 2016. "Long-Run Risk Is the Worst-Case Scenario," American Economic Review, American Economic Association, vol. 106(9), pages 2494-2527, September.
  2. Giuliano Curatola & Michael Donadelli & Patrick Gruning & Christoph Meinerding, 2016. "Investment-Specific Shocks, Business Cycles, and Asset Prices," Bank of Lithuania Working Paper Series 36, Bank of Lithuania.
  3. Andrew T. Foerster & Andreas Hornstein & Pierre-Daniel G. Sarte & Mark W. Watson, 2022. "Aggregate Implications of Changing Sectoral Trends," Journal of Political Economy, University of Chicago Press, vol. 130(12), pages 3286-3333.
  4. Kazuo Nishimura & Florian Pelgrin & Alain Venditti, 2022. "Medium term endogenous fluctuations in three-sector optimal growth models," Working Papers hal-03923999, HAL.
  5. Kevin Rennert & Brian C. Prest & William A. Pizer & Richard G. Newell & David Anthoff & Cora Kingdon & Lisa Rennels & Roger Cooke & Adrian E. Raftery & Hana Sevcikova & Frank Errickson, 2021. "The Social Cost of Carbon: Advances in Long-Term Probabilistic Projections of Population, GDP, Emissions, and Discount Rates," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 52(2 (Fall)), pages 223-305.
  6. Pelgrin, Florian & Venditti, Alain, 2022. "On the long-run fluctuations of inheritance in two-sector OLG models," Journal of Mathematical Economics, Elsevier, vol. 101(C).
  7. Silva Lopes, Artur, 2024. "Assessing Income Convergence with a Long-Run Forecasting Approach: Some New Results," MPRA Paper 120143, University Library of Munich, Germany, revised Jun 2022.
  8. Taeyoung Doh, 2017. "Trend and Uncertainty in the Long-Term Real Interest Rate: Bayesian Exponential Tilting with Survey Data," Research Working Paper RWP 17-8, Federal Reserve Bank of Kansas City.
  9. Mr. Philip Barrett, 2018. "Interest-Growth Differentials and Debt Limits in Advanced Economies," IMF Working Papers 2018/082, International Monetary Fund.
  10. Burgess, Matthew G. & Langendorf, Ryan E. & Ippolito, Tara & Pielke, Roger Jr, 2020. "Optimistically biased economic growth forecasts and negatively skewed annual variation," SocArXiv vndqr, Center for Open Science.
  11. Müller, Ulrich K. & Wang, Yulong, 2019. "Nearly weighted risk minimal unbiased estimation," Journal of Econometrics, Elsevier, vol. 209(1), pages 18-34.
  12. David Gabauer & Rangan Gupta & Sayar Karmakar & Joshua Nielsen, 2022. "Stock Market Bubbles and the Forecastability of Gold Returns (and Volatility)," Working Papers 202228, University of Pretoria, Department of Economics.
  13. Boudoukh, Jacob & Israel, Ronen & Richardson, Matthew, 2022. "Biases in long-horizon predictive regressions," Journal of Financial Economics, Elsevier, vol. 145(3), pages 937-969.
  14. Pretis, Felix & Roser, Max, 2017. "Carbon dioxide emission-intensity in climate projections: Comparing the observational record to socio-economic scenarios," Energy, Elsevier, vol. 135(C), pages 718-725.
  15. Demirel, Ufuk Devrim & Otterson, James, 2023. "Quantifying the uncertainty of long-term macroeconomic projections," Journal of Macroeconomics, Elsevier, vol. 75(C).
  16. Kurt Graden Lunsford & Kenneth D. West, 2024. "An Empirical Evaluation of Some Long-Horizon Macroeconomic Forecasts," Working Papers 24-20, Federal Reserve Bank of Cleveland.
  17. Vasco J.Gabriel & Luis F. Martins & Anthoulla Phella, 2021. "Modelling Low-Frequency Covariability of Paleoclimatic Data," Working Papers 2022_17, Business School - Economics, University of Glasgow.
  18. John Fernald, 2017. "Is there an easy cure for low growth?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 52(3), pages 175-180, July.
  19. Simon Dietz & Bruno Lanz, 2019. "Growth and Adaptation to Climate Change in the Long Run," CESifo Working Paper Series 7986, CESifo.
  20. James H. Stock & Mark W. Watson, 2017. "Twenty Years of Time Series Econometrics in Ten Pictures," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 59-86, Spring.
  21. Kurt Graden Lunsford & Kenneth D. West, 2023. "Random Walk Forecasts of Stationary Processes Have Low Bias," Working Papers 23-18, Federal Reserve Bank of Cleveland.
  22. Ulrich K. Muller & Mark W. Watson, 2021. "Spatial Correlation Robust Inference," Papers 2102.09353, arXiv.org.
  23. Snudden, Stephen, 2018. "Targeted growth rates for long-horizon crude oil price forecasts," International Journal of Forecasting, Elsevier, vol. 34(1), pages 1-16.
  24. Sayar Karmakar & Marek Chudy & Wei Biao Wu, 2020. "Long-term prediction intervals with many covariates," Papers 2012.08223, arXiv.org, revised Sep 2021.
  25. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
  26. Fabian Krüger, 2017. "Survey-based forecast distributions for Euro Area growth and inflation: ensembles versus histograms," Empirical Economics, Springer, vol. 53(1), pages 235-246, August.
  27. M. Chudý & S. Karmakar & W. B. Wu, 2020. "Long-term prediction intervals of economic time series," Empirical Economics, Springer, vol. 58(1), pages 191-222, January.
  28. Klaus Gründler & Niklas Potrafke, 2023. "Population Aging, Retirement, and Aggregate Productivity," CESifo Working Paper Series 10594, CESifo.
  29. Marek Chudý & Erhard Reschenhofer, 2019. "Macroeconomic Forecasting with Factor-Augmented Adjusted Band Regression," Econometrics, MDPI, vol. 7(4), pages 1-14, December.
  30. Kaihua Deng & Chang-Jin Kim, 2015. "Predicting Stock Returns — The Information Content Of Predictors Across Horizons," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-27, December.
  31. Angelini, Orazio & Gabrielli, Andrea & Tacchella, Andrea & Zaccaria, Andrea & Pietronero, Luciano & Di Matteo, T., 2024. "Forecasting the countries’ gross domestic product growth: The case of Technological Fitness," Chaos, Solitons & Fractals, Elsevier, vol. 184(C).
  32. Jonathan Lecznar & Pierre-Daniel G. Sarte & Robert Sharp, 2013. "Characterizing the Unusual Path of U.S. Output During and After the Great Recession," Economic Quarterly, Federal Reserve Bank of Richmond, issue 3Q, pages 163-192.
  33. repec:pra:mprapa:114488 is not listed on IDEAS
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