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Robert Litterman

Citations

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RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report 93, Federal Reserve Bank of Minneapolis.

    Mentioned in:

    1. > Econometrics > Forecasting
    2. > Econometrics > Time Series Models > VAR Models
    3. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)
  2. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.

    Mentioned in:

    1. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)
  3. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. > Econometrics > Forecasting
    2. > Econometrics > Time Series Models > VAR Models
    3. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)

Working papers

  1. Kent D. Daniel & Robert B. Litterman & Gernot Wagner, 2016. "Applying Asset Pricing Theory to Calibrate the Price of Climate Risk," NBER Working Papers 22795, National Bureau of Economic Research, Inc.

    Cited by:

    1. Zhou, Peng & Mo, Lingyu & Tan, Changchun & Wu, Huaqing, 2025. "Carbon regulatory risk exposure in the bond market: A quasi-natural experiment in China," China Economic Review, Elsevier, vol. 92(C).
    2. Davide Benedetti & Enrico Biffis & Fotis Chatzimichalakis & Luciano Lilloy Fedele & Ian Simm, 2021. "Climate change investment risk: optimal portfolio construction ahead of the transition to a lower-carbon economy," Annals of Operations Research, Springer, vol. 299(1), pages 847-871, April.
    3. Zhang, Zehua & Zhao, Ran, 2022. "Carbon emission and credit default swaps," Finance Research Letters, Elsevier, vol. 50(C).
    4. Lucia Alessi & Elisa, Ossola & Roberto Panzica, 2019. "The Greenium matters: greenhouse gas emissions, environmental disclosures, and stock prices," Working Papers 418, University of Milano-Bicocca, Department of Economics, revised Apr 2020.
    5. Mark C. Freeman & Gernot Wagner & Richard J. Zeckhauser, 2015. "Climate Sensitivity Uncertainty: When is Good News Bad?," NBER Working Papers 20900, National Bureau of Economic Research, Inc.
    6. Hjort, Ingrid, 2016. "Potential Climate Risks in Financial Markets: A Literature Overview," Memorandum 01/2016, Oslo University, Department of Economics.
    7. Dietz, Simon & Gollier, Christian & Kessler, Louise, 2015. "The climate beta," TSE Working Papers 15-608, Toulouse School of Economics (TSE).
    8. Alessi, Lucia & Ossola, Elisa & Panzica, Roberto, 2021. "What greenium matters in the stock market? The role of greenhouse gas emissions and environmental disclosures," Journal of Financial Stability, Elsevier, vol. 54(C).
    9. Juan Moreno-Cruz & Gernot Wagner & David W. Keith, 2018. "An Economic Anatomy of Optimal Climate Policy," CESifo Working Paper Series 7059, CESifo.
    10. William Brock & Anastasios Xepapadeas, 2015. "Modeling Coupled Climate, Ecosystems, and Economic Systems," DEOS Working Papers 1508, Athens University of Economics and Business.
    11. Basha, Shabeen Afsar & Benkraiem, Ramzi & Ben-Nasr, Hamdi & Masum, Abdullah-Al, 2025. "Does political risk exacerbate climate risk? Firm-level evidence," International Review of Financial Analysis, Elsevier, vol. 104(PA).
    12. Wu, Nan & Zhang, Zuopeng & Lin, Boqiang, 2024. "Responses of financial stress and monetary policy to global warming: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 92(C).
    13. Huang, Bihong & Punzi, Maria Teresa & Wu, Yu, 2021. "Do banks price environmental transition risks? Evidence from a quasi-natural experiment in China," Journal of Corporate Finance, Elsevier, vol. 69(C).
    14. Zirek, Duygu & Unsal, Omer, 2023. "Green bonds: Do investors benefit from third-party certification?," Global Finance Journal, Elsevier, vol. 58(C).
    15. Garbarino, Nicola & Guin, Benjamin, 2021. "High water, no marks? Biased lending after extreme weather," Journal of Financial Stability, Elsevier, vol. 54(C).
    16. Benchora, Inessa & Galanti, Sébastien, 2024. "Verified carbon emissions and stock returns in the EU Emissions Trading System," Energy Policy, Elsevier, vol. 193(C).
    17. Stoerk, Thomas & Wagner, Gernot & Ward, Robert E. T., 2018. "Recommendations for improving the treatment of risk and uncertainty in economic estimates of climate impacts in the Sixth Intergovernmental Panel on Climate Change Assessment Report," LSE Research Online Documents on Economics 87957, London School of Economics and Political Science, LSE Library.
    18. Christoph Hambel & Holger Kraft & Eduardo Schwartz, 2015. "Optimal Carbon Abatement in a Stochastic Equilibrium Model with Climate Change," NBER Working Papers 21044, National Bureau of Economic Research, Inc.
    19. Hambel, Christoph & Kraft, Holger & Schwartz, Eduardo S., 2019. "Optimal carbon abatement in a stochastic equilibrium model with climate change," SAFE Working Paper Series 92, Leibniz Institute for Financial Research SAFE, revised 2019.
    20. Adam Michael Bauer & Cristian Proistosescu & Gernot Wagner, 2024. "Carbon Dioxide as a Risky Asset," Climatic Change, Springer, vol. 177(5), pages 1-27, May.
    21. Bihong Huang & Maria Teresa Punzi & Yu Wu, 2019. "Do Banks Price Environmental Risk? Evidence from a Quasi Natural Experiment in the People’s Republic of China," ADBI Working Papers 974, Asian Development Bank Institute.
    22. Harrison Hong & Frank Weikai Li & Jiangmin Xu, 2016. "Climate Risks and Market Efficiency," NBER Working Papers 22890, National Bureau of Economic Research, Inc.
    23. Meissner, Thomas & Pfeiffer, Philipp, 2022. "Measuring preferences over the temporal resolution of consumption uncertainty," Journal of Economic Theory, Elsevier, vol. 200(C).
    24. Ravi Jagannathan & Ashwin Ravikumar & Marco Sammon, 2017. "Environmental, Social, and Governance Criteria: Why Investors are Paying Attention," NBER Working Papers 24063, National Bureau of Economic Research, Inc.
    25. Roberton C. Williams III, 2016. "Environmental Taxation," NBER Working Papers 22303, National Bureau of Economic Research, Inc.
    26. Venturini, Alessio, 2022. "Climate change, risk factors and stock returns: A review of the literature," International Review of Financial Analysis, Elsevier, vol. 79(C).
    27. Noluthando Mngadi & Hossana Twinomurinzi, 2023. "Quantifying Causality between Climate Change and Credit Risk: A Bibliometric Study and Research Agenda," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    28. Kim, Incheol & Lee, Suin & Ryou, Jiwoo, 2024. "Does climate risk influence analyst forecast accuracy?," Journal of Financial Stability, Elsevier, vol. 75(C).
    29. Lin, Boqiang & Wu, Nan, 2023. "Climate risk disclosure and stock price crash risk: The case of China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 21-34.
    30. Birindelli, Giuliana & Miazza, Aline & Paimanova, Viktoriia & Palea, Vera, 2023. "Just “blah blah blah”? Stock market expectations and reactions to COP26," International Review of Financial Analysis, Elsevier, vol. 88(C).
    31. Adam Michael Bauer & Cristian Proistosescu & Gernot Wagner, 2023. "Carbon Dioxide as a Risky Asset," CESifo Working Paper Series 10278, CESifo.
    32. Frederick Ploeg & Aart Zeeuw, 2019. "Pricing Carbon and Adjusting Capital to Fend Off Climate Catastrophes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(1), pages 29-50, January.
    33. Hong, Harrison & Li, Frank Weikai & Xu, Jiangmin, 2019. "Climate risks and market efficiency," Journal of Econometrics, Elsevier, vol. 208(1), pages 265-281.

  2. Robert B. Litterman, 1986. "The limits of counter-cyclical monetary policy: an analysis based on optimal control theory and vector autoregressions," Working Papers 297, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Robert Marti, 1995. "Spécification des préférences implicites en matière de politique économique française, 1981-1991," Économie et Prévision, Programme National Persée, vol. 119(3), pages 1-11.
    2. Enrique M. Quilis(1), "undated". "Modelos Bvar: Especificación, Estimación E Inferencia," Working Papers 8-02 Classification-JEL :, Instituto de Estudios Fiscales.

  3. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report 93, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. John Geweke, 1992. "Priors for macroeconomic time series and their application," Discussion Paper / Institute for Empirical Macroeconomics 64, Federal Reserve Bank of Minneapolis.
    2. Michal Franta & Jozef Barunik & Roman Horvath & Katerina Smidkova, 2011. "Are Bayesian Fan Charts Useful for Central Banks? Uncertainty, Forecasting, and Financial Stability Stress Tests," Working Papers 2011/10, Czech National Bank, Research and Statistics Department.
    3. Lars Peter Hansen & Ellen R. McGrattan & Thomas J. Sargent, 1994. "Mechanics of forming and estimating dynamic linear economies," Staff Report 182, Federal Reserve Bank of Minneapolis.
    4. Gomez, Nicolas & Guerrero, Victor M., 2006. "Restricted forecasting with VAR models: An analysis of a test for joint compatibility between restrictions and forecasts," International Journal of Forecasting, Elsevier, vol. 22(4), pages 751-770.
    5. Andrea Bonilla, 2014. "External vulnerabilities and economic integration. Is the Union of South American Nations a promising project ?," Working Papers halshs-00945044, HAL.
    6. Kim, Chang-Jin & Morley, James C. & Nelson, Charles R., 2001. "Does an intertemporal tradeoff between risk and return explain mean reversion in stock prices?," Journal of Empirical Finance, Elsevier, vol. 8(4), pages 403-426, September.
    7. Демешев Борис Борисович & Малаховская Оксана Анатольевна, 2016. "Макроэкономическое Прогнозирование С Помощью Bvar Литтермана," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(4), pages 691-710.
    8. Anton Muscatelli & Patrizio Tirelli & Carmine Trecroci, 2001. "Monetary and Fiscal Policy Interactions over the Cycle: Some Empirical Evidence," Working Papers 2002_13, Business School - Economics, University of Glasgow, revised Oct 2002.
    9. Shahzad Ahmad & Farooq Pasha, 2015. "A Pragmatic Model for Monetary Policy Analysis I: The Case of Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 11, pages 1-42.
    10. Carlo A. Favero, 2007. "The Econometrics of Monetary Policy: an Overview," Working Papers 329, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    11. David E. Runkle & Peter C. Young, 1989. "Recursive estimation and modelling of nonstationary and nonlinear time series," Discussion Paper / Institute for Empirical Macroeconomics 7, Federal Reserve Bank of Minneapolis.
    12. Berger, Helge & Österholm, Pär, 2008. "Does money matter for U.S. inflation? Evidence from Bayesian VARs," Discussion Papers 2008/9, Free University Berlin, School of Business & Economics.
    13. Wolters, Maik Hendrik, 2012. "Evaluating point and density forecasts of DSGE models," MPRA Paper 36147, University Library of Munich, Germany.
    14. Richard H. Clarida & Benjamin M. Friedman, 1986. "The Behavior of U.S. Short-Term Interest Rates Since 1979-10," Cowles Foundation Discussion Papers 695, Cowles Foundation for Research in Economics, Yale University.
    15. Giannone, Domenico & D’Agostino, Antonello & Gambetti, Luca, 2009. "Macroeconomic Forecasting and Structural Change," CEPR Discussion Papers 7542, C.E.P.R. Discussion Papers.
    16. Frank Schorfheide & Marco Del Negro, 2007. "Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities)," 2007 Meeting Papers 283, Society for Economic Dynamics.
    17. Salim Chishti & M. Aynul Hasan, 1993. "What Determines the Behaviour of Real Exchange Rate in Pakistan?," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 32(4), pages 1015-1029.
    18. Paul Crompton & Yanrui Wu, 2004. "Energy Consumption in China: Past Trends and Future Directions," Economics Discussion / Working Papers 04-22, The University of Western Australia, Department of Economics.
    19. Marco Del Negro & Frank Schorfheide, 2003. "Take your model bowling: forecasting with general equilibrium models," Economic Review, Federal Reserve Bank of Atlanta, vol. 88(Q4), pages 35-50.
    20. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    21. Andrew Binning, 2022. "An Efficient Application of the Extended Path Algorithm in Matlab with Examples," Treasury Working Paper Series 22/02, New Zealand Treasury.
    22. Patrick Jacq & Eric Jondeau & Frank Sédillot, 1993. "Les politiques monétaires au sein du SME," Économie et Prévision, Programme National Persée, vol. 109(3), pages 57-74.
    23. Balcilar, Mehmet & Hammoudeh, Shawkat & Toparli, Elif Akay, 2018. "On the risk spillover across the oil market, stock market, and the oil related CDS sectors: A volatility impulse response approach," Energy Economics, Elsevier, vol. 74(C), pages 813-827.
    24. Giacomini, Raffaella & Ragusa, Giuseppe, 2011. "Incorporating theoretical restrictions into forecasting by projection methods," CEPR Discussion Papers 8604, C.E.P.R. Discussion Papers.
    25. Francis, Brian M. & Moseley, Leo & Iyare, Sunday Osaretin, 2007. "Energy consumption and projected growth in selected Caribbean countries," Energy Economics, Elsevier, vol. 29(6), pages 1224-1232, November.
    26. Ekaterina Pirozhkova & Nicola Viegi, 2024. "The bank lending channel of monetary policy transmission in South Africa," Working Papers 11072, South African Reserve Bank.
    27. Agiakloglou, Christos & Gkouvakis, Michail, 2015. "Causal interrelations among market fundamentals: Evidence from the European Telecommunications sector," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 150-159.
    28. Hwee Kwan Chow & Keen Meng Choy, 2004. "Forecasting the Global Electronics Cycle with Leading Indicators: A VAR Approach," Working Papers 16-2004, Singapore Management University, School of Economics.
    29. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    30. Ribeiro Ramos, Francisco Fernando, 2003. "Forecasts of market shares from VAR and BVAR models: a comparison of their accuracy," International Journal of Forecasting, Elsevier, vol. 19(1), pages 95-110.
    31. Joshua C.C. Chan & Liana Jacobi & Dan Zhu, 2018. "How Sensitive Are VAR Forecasts to Prior Hyperparameters? An Automated Sensitivity Analysis," CAMA Working Papers 2018-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    32. Carmine Trecroci & Matilde Vassalli, 2006. "Monetary policy regime shifts: new evidence from time-varying interest rate rules," Working Papers 0602, University of Brescia, Department of Economics.
    33. Chan, Joshua C.C. & Eisenstat, Eric & Koop, Gary, 2014. "Large Bayesian VARMAs," SIRE Discussion Papers 2015-06, Scottish Institute for Research in Economics (SIRE).
    34. Miranda-Agrippino, Silvia & Hacıoglu Hoke, Sinem, 2018. "When creativity strikes: news shocks and business cycle fluctuations," LSE Research Online Documents on Economics 90381, London School of Economics and Political Science, LSE Library.
    35. Milani, Fabio, 2017. "Learning about the interdependence between the macroeconomy and the stock market," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 223-242.
    36. David E. Runkle, 1989. "The U.S. economy in 1990 and 1991: continued expansion likely," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 13(Fall), pages 19-26.
    37. Koop, Gary & Korobilis, Dimitris, 2012. "Large time-varying parameter VARs," MPRA Paper 38591, University Library of Munich, Germany.
    38. Sinem Hacioglu Hoke, 2019. "Macroeconomic effects of political risk shocks," Bank of England working papers 841, Bank of England.
    39. Marcellino, Massimiliano & Kapetanios, George & Carriero, Andrea, 2009. "Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models," CEPR Discussion Papers 7446, C.E.P.R. Discussion Papers.
    40. Marek Jarocinski & Albert Marcet, 2015. "Priors about Observables in Vector Autoregressions," Working Papers 684, Barcelona School of Economics.
    41. Pablo A Guerron-Quintana & James M Nason, 2012. "Bayesian Estimation of DSGE Models," CAMA Working Papers 2012-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    42. Mirriam Chitalu Chama-Chiliba & Rangan Gupta & Nonophile Nkambule & Naomi Tlotlego, 2011. "Forecasting Key Macroeconomic Variables of the South African Economy Using Bayesian Variable Selection," Working Papers 201132, University of Pretoria, Department of Economics.
    43. Muellbauer, John & Aron, Janine, 2002. "Interest Rate Effects on Output: Evidence from a GDP Forecasting Model for South Africa," CEPR Discussion Papers 3595, C.E.P.R. Discussion Papers.
    44. Kurt Graden Lunsford, 2020. "Recessions and the Trend in the US Unemployment Rate," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2021(01), pages 1-8, February.
    45. Takeshi Kimura & Hiroshi Kobayashi & Jun Muranaga & Hiroshi Ugai, 2003. "The effect of the increase in the monetary base of Japan's economy at zero interest rates: an empirical analysis," BIS Papers chapters, in: Bank for International Settlements (ed.), Monetary policy in a changing environment, volume 19, pages 276-312, Bank for International Settlements.
    46. Chris Bloor & Troy Matheson, 2010. "Analysing shock transmission in a data-rich environment: a large BVAR for New Zealand," Empirical Economics, Springer, vol. 39(2), pages 537-558, October.
    47. William A. Barnett & Unja Chae & John W. Keating, 2006. "The discounted economic stock of money with VAR forecasting," Computing in Economics and Finance 2006 51, Society for Computational Economics.
    48. Sanvi Avouyi-Dovi & Eric Jondeau, 1999. "Interest Rate Transmission and Volatility Transmission along the Yield Curve," Working papers 57, Banque de France.
    49. Gary Koop, 2010. "Forecasting with Medium and Large Bayesian VARs," Working Paper series 43_10, Rimini Centre for Economic Analysis.
    50. Andrea Bonilla Bolanos, 2014. "External Vulnerabilities And Economic Integration: Is The Union Of South American Nations A Promising Project?," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(2), pages 97-131, June.
    51. William T. Gavin & Athena T. Theodorou, 2004. "A common model approach to macroeconomics: using panel data to reduce sampling error," Working Papers 2003-045, Federal Reserve Bank of St. Louis.
    52. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," Research Technical Papers 4/RT/98, Central Bank of Ireland.
    53. Rangan Gupta & Monique Reid, 2012. "Macroeconomic Surprises and Stock Returns in South Africa," Working Papers 05/2012, Stellenbosch University, Department of Economics.
    54. Alvarez, Luis J. & Delrieu, Juan C. & Jareño, Javier, 1997. "Restricted forecasts and economic target monitoring: An application to the Spanish Consumer Price Index," Journal of Policy Modeling, Elsevier, vol. 19(3), pages 333-349, June.
    55. Muhammad Nadim Hanif & Muhammad Jahanzeb Malik, 2015. "Evaluating the Performance of Inflation Forecasting Models of Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 11, pages 43-78.
    56. Summers, Peter M., 2001. "Forecasting Australia's economic performance during the Asian crisis," International Journal of Forecasting, Elsevier, vol. 17(3), pages 499-515.
    57. Pablo A. Acosta & Emmanuel K. K. Lartey & Federico S. Mandelman, 2007. "Remittances and the Dutch disease," FRB Atlanta Working Paper 2007-08, Federal Reserve Bank of Atlanta.
    58. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
    59. Domenico Giannone & Michèle Lenza & Daphné Momferatu & Luca Onorante, 2010. "Short-term inflation projections: a Bayesian vector autoregressive approach," Working Papers ECARES ECARES 2010-011, ULB -- Universite Libre de Bruxelles.
    60. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    61. Hany Guirguis & Christos Giannikos & Randy Anderson, 2004. "The US Housing Market: Asset Pricing Forecasts Using Time Varying Coefficients," The Journal of Real Estate Finance and Economics, Springer, vol. 30(1), pages 33-53, October.
    62. Chudik , A. & Pesaran, M.H., 2007. "Infinite Dimensional VARs and Factor Models," Cambridge Working Papers in Economics 0757, Faculty of Economics, University of Cambridge.
    63. Quinn, Terry & Kenny, Geoff & Meyler, Aidan, 1999. "Inflation Analysis: An Overview," Research Technical Papers 1/RT/99, Central Bank of Ireland.
    64. Berger, Helge & Österholm, Pär, 2007. "Does Money Growth Granger-Cause Inflation in the Euro Area? Evidence from Out-of-Sample Forecasts Using Bayesian VARs," Working Paper Series 2007:30, Uppsala University, Department of Economics.
    65. Marco Del Negro, 2003. "Discussion of Cogley and Sargent's \"Drifts and volatilities: Monetary policies and outcomes in the post WWII U.S.\"," FRB Atlanta Working Paper 2003-26, Federal Reserve Bank of Atlanta.
    66. Ballabriga, Fernando & Sebastian, Miguel & Valles, Javier, 1999. "European asymmetries," Journal of International Economics, Elsevier, vol. 48(2), pages 233-253, August.
    67. Tuomas A. Peltonen & Ricardo M. Sousa & Isabel S. Vansteenkiste, 2009. "Asset prices, Credit and Investment in Emerging Markets," NIPE Working Papers 18/2009, NIPE - Universidade do Minho.
    68. Fabio Canova & Matteo Ciccarelli, 2000. "Forecasting And Turning Point Predictions In A Bayesian Panel Var Model," Working Papers. Serie AD 2000-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    69. Neri, Stefano, 2023. "Long-term inflation expectations and monetary policy in the euro area before the pandemic," European Economic Review, Elsevier, vol. 154(C).
    70. Christopher A. Sims, 1992. "A Nine Variable Probabilistic Macroeconomic Forecasting Model," Cowles Foundation Discussion Papers 1034, Cowles Foundation for Research in Economics, Yale University.
    71. Benjamin M. Friedman, 1984. "Lessons from the 1979-1982 Monetary Policy Experiment," NBER Working Papers 1272, National Bureau of Economic Research, Inc.
    72. Ghent, Andra, 2006. "Comparing Models of Macroeconomic Fluctuations: How Big Are the Differences?," MPRA Paper 180, University Library of Munich, Germany.
    73. Alessandra Del Boca & Michele Fratianni & Franco Spinelli & Carmine Trecroci, 2010. "Macroeconomic instability and the Phillips curve in Italy," Working Papers 1013, University of Brescia, Department of Economics.
    74. Berger, Helge & Österholm, Pär, 2008. "Does money still matter for U.S. output?," Discussion Papers 2008/7, Free University Berlin, School of Business & Economics.
    75. Fabio Canova & Takatoshi Ito, 1988. "On Time-Series Properties of Time-Varying Risk Premium in the Yen/Dollar Exchange Market," NBER Working Papers 2678, National Bureau of Economic Research, Inc.
    76. Valentin Jouvanceau, 2016. "The Portfolio Rebalancing Channel of Quantitative Easing," Working Papers 1625, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    77. Silvia Miranda-Agrippino & Giovanni Ricco, 2021. "Bayesian local projections," Working Papers hal-03373574, HAL.
    78. Maged Shawky Sourial, 2002. "The Future of the Stock Market Channel In Egypt," Finance 0204002, University Library of Munich, Germany.
    79. Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pintér, Gábor, 2017. "Forecasting with VAR models: Fat tails and stochastic volatility," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1124-1143.
    80. Ali Dib & Mohamed Gammoudi & Kevin Moran, 2005. "Forecasting Canadian Time Series with the New-Keynesian Model," Cahiers de recherche 0527, CIRPEE.
    81. Dorfman, Jeffrey H. & Havenner, Arthur M., 1992. "A Bayesian approach to state space multivariate time series modeling," Journal of Econometrics, Elsevier, vol. 52(3), pages 315-346, June.
    82. Eric Leeper, 2003. "An "Inflation Reports" Report," NBER Working Papers 10089, National Bureau of Economic Research, Inc.
    83. Rangan Gupta & Alain Kabundi & Stephen M. Miller & Josine Uwilingiye, 2011. "Using Large Data Sets to Forecast Sectoral Employment," Working papers 2011-02, University of Connecticut, Department of Economics, revised Aug 2012.
    84. Chow, Hwee Kwan & Choy, Keen Meng, 2006. "Forecasting the global electronics cycle with leading indicators: A Bayesian VAR approach," International Journal of Forecasting, Elsevier, vol. 22(2), pages 301-315.
    85. Francis X. Diebold & Canlin Li, 2003. "Forecasting the Term Structure of Government Bond Yields," NBER Working Papers 10048, National Bureau of Economic Research, Inc.
    86. Julius Stakenas, 2018. "Slicing up inflation: analysis and forecasting of Lithuanian inflation components," Bank of Lithuania Working Paper Series 56, Bank of Lithuania.
    87. Domenico Giannone & Troy Matheson, 2006. "A new core inflation indicator for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2006/02, Reserve Bank of New Zealand.
    88. Carlo Altavilla & Matteo Ciccarelli, 2009. "The Effects of Monetary Policy on Unemployment Dynamics under Model Uncertainty - Evidence from the US and the Euro Area," CESifo Working Paper Series 2575, CESifo.
    89. Ritschl, Albrecht & Uebele, Martin & Sarferaz, Samad, 2008. "The U.S. Business Cycle, 1867-1995: A Dynamic Factor Approach," CEPR Discussion Papers 7069, C.E.P.R. Discussion Papers.
    90. DeJong, David N. & Ingram, Beth F. & Whiteman, Charles H., 2000. "A Bayesian approach to dynamic macroeconomics," Journal of Econometrics, Elsevier, vol. 98(2), pages 203-223, October.
    91. Michael Berlemann & Forrest Nelson, 2005. "Forecasting Inflation via Experimental Stock Markets Some Results from Pilot Markets," ifo Working Paper Series 10, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    92. Alessia Paccagnini, 2017. "Forecasting with FAVAR: macroeconomic versus financial factors," NBP Working Papers 256, Narodowy Bank Polski.
    93. John C. Robertson & Ellis W. Tallman, 1999. "Prior parameter uncertainty: Some implications for forecasting and policy analysis with VAR models," FRB Atlanta Working Paper 99-13, Federal Reserve Bank of Atlanta.
    94. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2012. "Prior selection for vector autoregressions," Working Paper Series 1494, European Central Bank.
    95. Carlo A. Favero, 2007. "Model Evaluation in Macroeconometrics: from early empirical macroeconomic models to DSGE models," Working Papers 327, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    96. Uhlig, Harald, 1999. "What are the Effects of Monetary Policy on Output? Results from an Agnostic Identification Procedure," CEPR Discussion Papers 2137, C.E.P.R. Discussion Papers.
    97. Eric M. Leeper & Tao Zha, 2002. "Modest Policy Interventions," NBER Working Papers 9192, National Bureau of Economic Research, Inc.
    98. S. Boragan Aruoba & Frank Schorfheide, 2009. "Sticky prices versus monetary frictions: an estimation of policy trade-offs," Working Papers 09-8, Federal Reserve Bank of Philadelphia.
    99. Fabio Canova & Matteo Ciccarelli & Eva Ortega, 2009. "Do institutional changes affect business cycles? Evidence from Europe," Economics Working Papers 1158, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2012.
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    20. Allegret, Jean-Pierre & Sand-Zantman, Alain, 2009. "Does a Monetary Union protect against external shocks?: An assessment of Latin American integration," Journal of Policy Modeling, Elsevier, vol. 31(1), pages 102-118.
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    24. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    25. Gediminas Adomavicius & Jesse Bockstedt & Alok Gupta, 2012. "Modeling Supply-Side Dynamics of IT Components, Products, and Infrastructure: An Empirical Analysis Using Vector Autoregression," Information Systems Research, INFORMS, vol. 23(2), pages 397-417, June.
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    2. Arjan Trinks & Erik Hille, 2023. "Carbon costs and industrial firm performance: Evidence from international microdata," CPB Discussion Paper 445, CPB Netherlands Bureau for Economic Policy Analysis.

  2. Kent D. Daniel & Robert B. Litterman & Gernot Wagner, 2019. "Declining CO 2 price paths," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(42), pages 20886-20891, October.

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    1. Landry, Joel R., 2021. "The political allocation of green pork and its implications for federal climate policy," Journal of Public Economics, Elsevier, vol. 201(C).
    2. Stan Olijslagers & Rick van der Ploeg & Sweder van Wijnbergen, 2021. "On current and future carbon prices in a risky world," Tinbergen Institute Discussion Papers 21-045/VI, Tinbergen Institute.
    3. Campiglio, Emanuele & Lamperti, Francesco & Terranova, Roberta, 2024. "Believe me when I say green! Heterogeneous expectations and climate policy uncertainty," LSE Research Online Documents on Economics 124234, London School of Economics and Political Science, LSE Library.
    4. Klotz, Richard & Sharma, Rishi R., 2023. "Trade barriers and CO2," Journal of International Economics, Elsevier, vol. 141(C).
    5. Rao, Akhil & Burgess, Matthew & Kaffine, Daniel, 2020. "Orbital-use fees could more than quadruple the value of the space industry," MPRA Paper 112708, University Library of Munich, Germany.
    6. Edenhofer, Ottmar & Lessmann, Kai & Tahri, Ibrahim, 2024. "Asset pricing and the carbon beta of externalities," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    7. Matteo Gasparini & Peter Tufano, 2023. "The Evolving Academic Field of Climate Finance," Harvard Business School Working Papers 23-057, Harvard Business School.
    8. Raimi, Daniel & Grubert, Emily & Higdon, Jake & Metcalf, Gilbert & Pesek, Sophie & Singh, Devyani, 2022. "The Fiscal Implications of the US Transition Away from Fossil Fuels," RFF Working Paper Series 22-03, Resources for the Future.
    9. Meng, Weizhen & Li, Shilin & Yang, Jinqiang, 2024. "Mitigating disaster risks caused by carbon emissions," Economics Letters, Elsevier, vol. 241(C).
    10. Chen, Zhuo & Liu, Jinyu & Lu, Andrea & Tao, Libin, 2024. "Carbon dioxide and asset pricing: Evidence from international stock markets," Journal of Empirical Finance, Elsevier, vol. 75(C).
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    12. Felix Pretis, 2022. "Does a Carbon Tax Reduce CO2 Emissions? Evidence from British Columbia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(1), pages 115-144, September.
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    14. Raimi, Daniel, 2021. "Effects of Climate Change on Heat- and Cold-Related Mortality: A Literature Review to Inform Updated Estimates of the Social Cost of Carbon," RFF Working Paper Series 21-12, Resources for the Future.
    15. Landry, Joel R., 2025. "How heterogeneity in perceived external benefits differently affects federal and state efforts to address climate change," Energy Economics, Elsevier, vol. 146(C).
    16. Adnan, Muflih A. & Kibria, Md Golam, 2020. "Comparative techno-economic and life-cycle assessment of power-to-methanol synthesis pathways," Applied Energy, Elsevier, vol. 278(C).
    17. Waxman, Andrew R. & Corcoran, Sean & Robison, Andrew & Leibowicz, Benjamin D. & Olmstead, Sheila, 2021. "Leveraging scale economies and policy incentives: Carbon capture, utilization & storage in Gulf clusters," Energy Policy, Elsevier, vol. 156(C).
    18. Meng, Weizhen & Chen, Tuyue & Yang, Jinqiang, 2025. "The economic and policy consequences of carbon emissions," Journal of Mathematical Economics, Elsevier, vol. 117(C).
    19. Rubtsov, Alexey & Xu, Wei & Šević, Aleksandar & Šević, Željko, 2021. "Price of climate risk hedging under uncertainty," Technological Forecasting and Social Change, Elsevier, vol. 165(C).

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    1. Chen, Zhuo & Liu, Jinyu & Lu, Andrea & Tao, Libin, 2024. "Carbon dioxide and asset pricing: Evidence from international stock markets," Journal of Empirical Finance, Elsevier, vol. 75(C).
    2. Broeders, Dirk & Dimitrov, Daniel & Verhoeven, Niek, 2025. "Climate-linked bonds," Working Paper Series 3011, European Central Bank.
    3. Dirk Broeders & Daniel Dimitrov & Niek Verhoeven, 2024. "Climate-Linked Bonds," Working Papers 817, DNB.

  5. Robert B. Litterman & Tim Shepheard-Walwyn, 1998. "Building a coherent risk measurement and capital optimisation model for financial firms," Economic Policy Review, Federal Reserve Bank of New York, vol. 4(Oct), pages 171-182.

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    1. João A. C. Santos, 2000. "Bank capital regulation in contemporary banking theory: a review of the literature," BIS Working Papers 90, Bank for International Settlements.
    2. Wiener, Zvi, 2012. "The value of Value-at-Risk: A theoretical approach to the pricing and performance of risk measurement systems," Journal of Economics and Business, Elsevier, vol. 64(3), pages 199-213.
    3. Weijermars, Ruud, 2009. "Accelerating the three dimensions of E&P clockspeed - A novel strategy for optimizing utility in the Oil & Gas industry," Applied Energy, Elsevier, vol. 86(10), pages 2222-2243, October.

  6. Knez, Peter J & Litterman, Robert & Scheinkman, Jose Alexandre, 1994. "Explorations into Factors Explaining Money Market Returns," Journal of Finance, American Finance Association, vol. 49(5), pages 1861-1882, December.

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    2. Geert Bekaert & Seonghoon Cho & Antonio Moreno, 2005. "New-Keynesian Macroeconomics and the Term Structure," NBER Working Papers 11340, National Bureau of Economic Research, Inc.
    3. Heidari, Massoud & Wu, Liuren, 2009. "A Joint Framework for Consistently Pricing Interest Rates and Interest Rate Derivatives," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(3), pages 517-550, June.
    4. Liuren Wu & Frank X. Zhang, 2005. "A no-arbitrage analysis of economic determinants of the credit spread term structure," Finance and Economics Discussion Series 2005-59, Board of Governors of the Federal Reserve System (U.S.).
    5. Ventura Bravo, Jorge Miguel & Pereira da Silva, Carlos Manuel, 2006. "Immunization using a stochastic-process independent multi-factor model: The Portuguese experience," Journal of Banking & Finance, Elsevier, vol. 30(1), pages 133-156, January.
    6. Charles L. Evans & David A. Marshall, 2001. "Economic determinants of the nominal treasury yield curve," Working Paper Series WP-01-16, Federal Reserve Bank of Chicago.
    7. Niffikeer, Cindy I. & Hewins, Robin D. & Flavell, Richard B., 2000. "A synthetic factor approach to the estimation of value-at-risk of a portfolio of interest rate swaps," Journal of Banking & Finance, Elsevier, vol. 24(12), pages 1903-1932, December.
    8. Ielpo, Florian & Guégan, Dominique, 2006. "Further evidence on the impact of economic news on interest rates," MPRA Paper 3425, University Library of Munich, Germany, revised Jun 2007.
    9. Devin Reilly & Pierre-Daniel G. Sarte, 2010. "Changes in monetary policy and the variation in interest rate changes across credit markets," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 96(2Q), pages 201-229.
    10. Tao Wu, 2005. "Macro Factors and the Affine Term Structure of Interest Rates," Working Paper Series 2002-06, Federal Reserve Bank of San Francisco.
    11. Tao Wu, 2003. "Stylized facts on nominal term structure and business cycles: an empirical VAR study," Applied Economics, Taylor & Francis Journals, vol. 35(8), pages 901-906.
    12. Lekkos, Ilias, 2001. "Factor models and the correlation structure of interest rates: Some evidence for USD, GBP, DEM and JPY," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1427-1445, August.
    13. Ang, Andrew & Piazzesi, Monika, 2003. "A no-arbitrage vector autoregression of term structure dynamics with macroeconomic and latent variables," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 745-787, May.
    14. Jagjit Chadha & Sean Holly, 2006. "Macroeconomic Models and the Yield Curve," Computing in Economics and Finance 2006 105, Society for Computational Economics.
    15. Markus Leippold & Liuren Wu, 2002. "Design and Estimation of Quadratic Term Structure Models," Finance 0207014, University Library of Munich, Germany.
    16. C. Emre Alper & K. Kazimov & A. Akdemir, 2007. "Forecasting the term structure of interest rates for Turkey: a factor analysis approach," Applied Financial Economics, Taylor & Francis Journals, vol. 17(1), pages 77-85.
    17. Hans Dewachter & Marco Lyrio, 2002. "Macro Factors and the Term Structure of Interest Rates," International Economics Working Papers Series wpie007, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, International Economics.
    18. Chadha, Jagjit S. & Waters, Alex, 2014. "Applying a macro-finance yield curve to UK quantitative Easing," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 68-86.
    19. Lorenzo Boldrini & Eric Hillebrand, 2015. "The Forecasting Power of the Yield Curve, a Supervised Factor Model Approach," CREATES Research Papers 2015-39, Department of Economics and Business Economics, Aarhus University.
    20. Christophe PÉRIGNON & Christophe VILLA, 2002. "Permanent and Transitory Factors Affecting the Dynamics of the Term Structure of Interest Rates," FAME Research Paper Series rp53, International Center for Financial Asset Management and Engineering.
    21. Warren Bailey & Lin Zheng, 2013. "Banks, Bears, and the Financial Crisis," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(1), pages 1-51, August.
    22. Evans, Charles L. & Marshall, David A., 1998. "Monetary policy and the term structure of nominal interest rates: Evidence and theory," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 53-111, December.
    23. Sensarma, Rudra & Bhattacharyya, Indranil, 2015. "Measuring monetary policy and its impact on the bond market of an emerging economy," MPRA Paper 81067, University Library of Munich, Germany.
    24. Paccagnini, Alessia, 2016. "The macroeconomic determinants of the US term structure during the Great Moderation," Economic Modelling, Elsevier, vol. 52(PA), pages 216-225.
    25. Arthur Charpentier & Christophe Villa, 2010. "Generating Yield Curve Stress-Scenarios," Working Papers hal-00550582, HAL.
    26. Konstantinos Drakos, 2004. "A Note on Sector, Rating, and Maturity Effects on Risk Premia," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 3(3), pages 201-216, December.
    27. Driessen, Joost & Klaassen, Pieter & Melenberg, Bertrand, 2003. "The Performance of Multi-Factor Term Structure Models for Pricing and Hedging Caps and Swaptions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(3), pages 635-672, September.
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    599. Sabaj, Ernil & Kahveci, Mustafa, 2018. "Forecasting tax revenues in an emerging economy: The case of Albania," MPRA Paper 84404, University Library of Munich, Germany.
    600. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2014. "Forecasting with Bayesian Global Vector Autoregressive Models: A Comparison of Priors," Working Papers 189, Oesterreichische Nationalbank (Austrian Central Bank).
    601. Garegnani, Lorena & Gómez Aguirre, Maximiliano, 2018. "Forecasting Inflation in Argentina," IDB Publications (Working Papers) 8940, Inter-American Development Bank.
    602. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," Post-Print halshs-00505165, HAL.
    603. Muhammad Ejaz & Javed Iqbal, 2021. "Estimation and Forecasting of Industrial Production Index," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 26(1), pages 1-30, Jan-June.
    604. Bańbura, Marta & Albani, Maria & Ambrocio, Gene & Bursian, Dirk & Buss, Ginters & de Winter, Jasper & Gavura, Miroslav & Giordano, Claire & Júlio, Paulo & Le Roux, Julien & Lozej, Matija & Malthe-Thag, 2018. "Business investment in EU countries," Occasional Paper Series 215, European Central Bank.
    605. Eric M. Leeper & Tao Zha, 2002. "Empirical Analysis of Policy Interventions," NBER Working Papers 9063, National Bureau of Economic Research, Inc.
    606. Stephanie Yang & Hsueh-Chih Chen & Wen-Ching Chen & Cheng-Hong Yang, 2020. "Forecasting outbound student mobility: A machine learning approach," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-21, September.
    607. Consolo, Agostino & Foroni, Claudia & Martínez Hernández, Catalina, 2021. "A mixed frequency BVAR for the euro area labour market," Working Paper Series 2601, European Central Bank.
    608. Gupta, Rangan & Kabundi, Alain, 2011. "A large factor model for forecasting macroeconomic variables in South Africa," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1076-1088, October.
    609. Dean Croushore & Tom Stark, 1999. "Does data vintage matter for forecasting?," Working Papers 99-15, Federal Reserve Bank of Philadelphia.
    610. Mr. Jeromin Zettelmeyer & Pär Österholm, 2007. "The Effect of External Conditions on Growth in Latin America," IMF Working Papers 2007/176, International Monetary Fund.
    611. Riccardo Degasperi & Seokki Simon Hong & Giovanni Ricco, 2021. "The global transmission of U.S. monetary policy," Working Papers hal-03373749, HAL.
    612. Kociecki, Andrzej, 2012. "Orbital Priors for Time-Series Models," MPRA Paper 42804, University Library of Munich, Germany.
    613. Fildes, Robert, 2006. "The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion," International Journal of Forecasting, Elsevier, vol. 22(3), pages 415-432.
    614. Elcyon Caiado Rocha Lima & Ricardo Sandes Ehlers, 2015. "The Variance of Inflation and the Stability of the Demand for Money in Brazil: a Bayesian Approach," Discussion Papers 0067, Instituto de Pesquisa Econômica Aplicada - IPEA.
    615. Gordon, David B. & Leeper, Eric M. & Zha, Tao, 1998. "Trends in velocity and policy expectations," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 265-304, December.
    616. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
    617. Soyoung Kim, 2013. "Vector autoregressive models for macroeconomic policy analysis," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 23, pages 555-572, Edward Elgar Publishing.
    618. Paul Rudel & Peter Tillmann, 2018. "News Shock Spillovers: How the Euro Area Responds to Expected Fed Policy," MAGKS Papers on Economics 201832, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    619. Keating, John W., 2000. "Macroeconomic Modeling with Asymmetric Vector Autoregressions," Journal of Macroeconomics, Elsevier, vol. 22(1), pages 1-28, January.
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  9. Litterman, Robert, 1986. "A statistical approach to economic forecasting : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 1-4," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.

    Cited by:

    1. Gianluigi Pelloni & Wolfgang Polasek, "undated". "Intersectoral Labour Reallocation and Employment Volatility: A Bayesian Analysis using a VAR-GARCH-M model," Discussion Papers 99/4, Department of Economics, University of York.
    2. Giacomini, Raffaella & Ragusa, Giuseppe, 2011. "Incorporating theoretical restrictions into forecasting by projection methods," CEPR Discussion Papers 8604, C.E.P.R. Discussion Papers.
    3. Ribeiro Ramos, Francisco Fernando, 2003. "Forecasts of market shares from VAR and BVAR models: a comparison of their accuracy," International Journal of Forecasting, Elsevier, vol. 19(1), pages 95-110.
    4. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2014. "Marginalized predictive likelihood comparisons of linear Gaussian state-space models with applications to DSGE, DSGEVAR, and VAR models," CFS Working Paper Series 478, Center for Financial Studies (CFS).
    5. Gonzalo Fernandez-de-Córdoba & José L. Torres, 2009. "Forecasting the Spanish economy with an Augmented VAR-DSGE model," Working Papers 2009-1, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    6. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    7. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    8. Gianluigi Pelloni & Wolfgang Polasek, 2003. "Macroeconomic Effects of Sectoral Shocks in Germany, The U.K. and, The U.S. A VAR-GARCH-M Approach," Computational Economics, Springer;Society for Computational Economics, vol. 21(1), pages 65-85, February.
    9. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    10. Jan Jacobs & Albert van der Horst,, 1996. "VAR-ing the economy of the Netherlands," Working Papers 24, Centre for Economic Research, University of Groningen and University of Twente.
    11. Michael D. Bordo & Edward Simpson Prescott, 2019. "Federal Reserve Structure, Economic Ideas, and Monetary and Financial Policy," Working Papers 19-13, Federal Reserve Bank of Cleveland.
    12. Nicholson, William B. & Matteson, David S. & Bien, Jacob, 2017. "VARX-L: Structured regularization for large vector autoregressions with exogenous variables," International Journal of Forecasting, Elsevier, vol. 33(3), pages 627-651.
    13. Francisco J. S. Rocha & Marcos R. V. Magalhaes & Ã tila Amaral Brilhante, 2022. "A BVAR Analysis on Channels of Monetary Policy Transmission in Brazil," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(3), pages 1-19, February.
    14. Sebastian Ankargren & M{aa}ns Unosson & Yukai Yang, 2019. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Papers 1911.09151, arXiv.org.
    15. Rangan Gupta & Rudi Steinbach, 2010. "Forecasting Key Macroeconomic Variables of the South African Economy: A Small Open Economy New Keynesian DSGE-VAR Model," Working Papers 201019, University of Pretoria, Department of Economics.
    16. Susi Gorbey & Doug James & Jacques Poot, 1999. "Population Forecasting with Endogenous Migration: An Application to Trans-Tasman Migration," International Regional Science Review, , vol. 22(1), pages 69-101, April.
    17. Michael T. Belongia, 1987. "Predicting interest rates: a comparison of professional and market- based forecasts," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 9-15.
    18. Gupta, Rangan & Kabundi, Alain, 2011. "A large factor model for forecasting macroeconomic variables in South Africa," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1076-1088, October.
    19. Bradshaw, Girard W. & Orden, David, 1988. "Time Series Models For Exchange Rate And Agricultural Price Forecasts," Regional Research Projects > 1988: S-180 Annual Meeting, March 20-23, 1988, Savannah, Georgia 272786, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.

  10. Litterman, Robert B, 1986. "A Statistical Approach to Economic Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 1-4, January.

    Cited by:

    1. Gianluigi Pelloni & Wolfgang Polasek, "undated". "Intersectoral Labour Reallocation and Employment Volatility: A Bayesian Analysis using a VAR-GARCH-M model," Discussion Papers 99/4, Department of Economics, University of York.
    2. Giacomini, Raffaella & Ragusa, Giuseppe, 2011. "Incorporating theoretical restrictions into forecasting by projection methods," CEPR Discussion Papers 8604, C.E.P.R. Discussion Papers.
    3. Byron Botha & Rulof Burger & Kevin Kotz & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," Working Papers 11022, South African Reserve Bank.
    4. Ribeiro Ramos, Francisco Fernando, 2003. "Forecasts of market shares from VAR and BVAR models: a comparison of their accuracy," International Journal of Forecasting, Elsevier, vol. 19(1), pages 95-110.
    5. Balcilar, Mehmet & Gupta, Rangan & Kotzé, Kevin, 2015. "Forecasting macroeconomic data for an emerging market with a nonlinear DSGE model," Economic Modelling, Elsevier, vol. 44(C), pages 215-228.
    6. Guangling 'Dave' Liu & Rangan Gupta & Eric Schaling, 2009. "A New-Keynesian DSGE model for forecasting the South African economy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 387-404.
    7. Martinez-Martin Jaime & Morris Richard & Onorante Luca & Piersanti Fabio Massimo, 2024. "Merging Structural and Reduced-Form Models for Forecasting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 24(1), pages 399-437, January.
    8. Gonzalo Fernandez-de-Córdoba & José L. Torres, 2009. "Forecasting the Spanish economy with an Augmented VAR-DSGE model," Working Papers 2009-1, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    9. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    10. Hugo Morão, 2024. "The impact of carbon policy news on the national energy industry," Working Papers REM 2024/0321, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    11. Sofia Velasco, 2025. "Let the Tree Decide: FABART A Non-Parametric Factor Model," Papers 2506.11551, arXiv.org.
    12. Raffaella Giacomini & Barbara Rossi, 2013. "Forecasting in macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 17, pages 381-408, Edward Elgar Publishing.
    13. Doojav, Gan-Ochir, 2021. "Macroeconomic modeling for optimal stabilization policy in Mongolia," MPRA Paper 111206, University Library of Munich, Germany.
    14. Gianluigi Pelloni & Wolfgang Polasek, 2003. "Macroeconomic Effects of Sectoral Shocks in Germany, The U.K. and, The U.S. A VAR-GARCH-M Approach," Computational Economics, Springer;Society for Computational Economics, vol. 21(1), pages 65-85, February.
    15. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    16. Jan Jacobs & Albert van der Horst,, 1996. "VAR-ing the economy of the Netherlands," Working Papers 24, Centre for Economic Research, University of Groningen and University of Twente.
    17. Nicholson, William B. & Matteson, David S. & Bien, Jacob, 2017. "VARX-L: Structured regularization for large vector autoregressions with exogenous variables," International Journal of Forecasting, Elsevier, vol. 33(3), pages 627-651.
    18. Sebastian Ankargren & M{aa}ns Unosson & Yukai Yang, 2019. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Papers 1911.09151, arXiv.org.
    19. Susi Gorbey & Doug James & Jacques Poot, 1999. "Population Forecasting with Endogenous Migration: An Application to Trans-Tasman Migration," International Regional Science Review, , vol. 22(1), pages 69-101, April.
    20. Uquillas, Adriana & Tonato, Ronny, 2022. "Inter-portfolio credit risk contagion including macroeconomic and financial factors: A case study for Ecuador," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 299-320.
    21. Michael T. Belongia, 1987. "Predicting interest rates: a comparison of professional and market- based forecasts," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 9-15.
    22. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    23. Sebastian Ankargren & Måns Unosson & Yukai Yang, 2018. "A mixed-frequency Bayesian vector autoregression with a steady-state prior," CREATES Research Papers 2018-32, Department of Economics and Business Economics, Aarhus University.
    24. Martínez-Martin, Jaime & Morris, Richard & Onorante, Luca & Piersanti, Fabio M., 2019. "Merging structural and reduced-form models for forecasting: opening the DSGE-VAR box," Working Paper Series 2335, European Central Bank.
    25. Gupta, Rangan & Kabundi, Alain, 2011. "A large factor model for forecasting macroeconomic variables in South Africa," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1076-1088, October.
    26. Bradshaw, Girard W. & Orden, David, 1988. "Time Series Models For Exchange Rate And Agricultural Price Forecasts," Regional Research Projects > 1988: S-180 Annual Meeting, March 20-23, 1988, Savannah, Georgia 272786, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    27. Antonio García Ferrer & Juan del Hoyo Bernat & Peter C. Young & Alfonso Novales Cinca, 1993. "Recursive identification, estimation and forecasting of nonstationary economic time series with applications to GNP international data," Documentos de Trabajo del ICAE 9310, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  11. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    See citations under working paper version above.
  12. Litterman, Robert B, 1986. "Forecasting Accuracy of Alternative Techniques: A Comparison of U.S. Macroeconomic Forecasts: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 17-19, January.

    Cited by:

    1. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    2. Christopher A. Sims, 1992. "A Nine Variable Probabilistic Macroeconomic Forecasting Model," Cowles Foundation Discussion Papers 1034, Cowles Foundation for Research in Economics, Yale University.
    3. Thomas F. Cargill & Steven A. Morus, 1988. "A vector autoregression model of the Nevada economy," Economic Review, Federal Reserve Bank of San Francisco, issue Win, pages 21-32.
    4. Heilemann, Ullrich & Stekler, H. O., 2003. "Has the accuracy of German macroeconomic forecasts improved?," Technical Reports 2003,31, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

  13. Robert B. Litterman, 1985. "How monetary policy in 1985 affects the outlook," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 9(Fall).

    Cited by:

    1. Elizabeth Laderman & Ronald H. Schmidt & Gary C. Zimmerman, 1991. "Location, branching, and bank portfolio diversification: the case of agricultural lending," Economic Review, Federal Reserve Bank of San Francisco, issue Win, pages 24-38.
    2. Kerry D. Vandell, 1997. "Improving secondary markets in rural America," Proceedings – Rural and Agricultural Conferences, Federal Reserve Bank of Kansas City, issue Apr, pages 85-120.
    3. Bjørnar Karlsen Kivedal, 2018. "A new Keynesian framework and wage and price dynamics in the USA," Empirical Economics, Springer, vol. 55(3), pages 1271-1289, November.

  14. Litterman, Robert B & Weiss, Laurence M, 1985. "Money, Real Interest Rates, and Output: A Reinterpretation of Postwar U.S. Data," Econometrica, Econometric Society, vol. 53(1), pages 129-156, January.
    See citations under working paper version above.
  15. Robert B. Litterman, 1984. "Forecasting and policy analysis with Bayesian vector autoregression models," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).

    Cited by:

    1. Yochanan Shachmurove, 2001. "Dynamic Co-movements of Stock Indices: The Emerging Middle Eastern and the United States Markets," Penn CARESS Working Papers ddffc4204cf90a8523fb64134, Penn Economics Department.
    2. Defina, Robert H. & Stark, Thomas C. & Taylor, Herbert E., 1996. "The long-run variance of output and inflation under alternative monetary policy rules," Journal of Macroeconomics, Elsevier, vol. 18(2), pages 235-251.
    3. McIntosh, Christopher S. & Park, Timothy A. & Karnum, Chandrasekar, 1997. "The Potential Impact of Nutrient Management Legislation on the U.S. Broiler Industry," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35899, Western Agricultural Economics Association.
    4. Catherine Bac, 2001. "Arbitrage entre fluctuations de l'inflation et de l'activité au niveau de la zone "euro"," Économie et Prévision, Programme National Persée, vol. 150(4), pages 47-58.
    5. Terrence Kinal & Jonathan Ratner, 1986. "A VAR Forecasting Model of a Regional Economy: Its Construction and Comparative Accuracy," International Regional Science Review, , vol. 10(2), pages 113-126, August.
    6. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," Research Technical Papers 4/RT/98, Central Bank of Ireland.
    7. van Heerde, H.J. & Dekimpe, M.G. & Putsis, W.P., 2004. "Marketing Models and the Lucas Critique," ERIM Report Series Research in Management ERS-2004-080-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Massimiliano Marcellino & Yuliya Rychalovska, 2012. "An estimated DSGE model of a Small Open Economy within the Monetary Union: Forecasting and Structural Analysis," RSCAS Working Papers 2012/34, European University Institute.
    9. Ansari, M. I., 1996. "Monetary vs. fiscal policy: Some evidence from vector autoregression for India," Journal of Asian Economics, Elsevier, vol. 7(4), pages 677-698.
    10. Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December.
    11. Massimiliano Marcellino & Yuliya Rychalovska, 2014. "Forecasting with a DSGE Model of a Small Open Economy within the Monetary Union," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(5), pages 315-338, August.
    12. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    13. Robert B. Litterman, 1986. "The limits of counter-cyclical monetary policy: an analysis based on optimal control theory and vector autoregressions," Working Papers 297, Federal Reserve Bank of Minneapolis.
    14. Rahul Verma & Hasan Baklaci & Gokce Soydemir, 2008. "The impact of rational and irrational sentiments of individual and institutional investors on DJIA and S&P500 index returns," Applied Financial Economics, Taylor & Francis Journals, vol. 18(16), pages 1303-1317.
    15. Gary L. Shoesmith, 1990. "The Forecasting Accuracy of Regional Bayesian VAR Models with Alternative National Variable Choices," International Regional Science Review, , vol. 13(3), pages 257-269, December.
    16. N.D. Geomelos & E. Xideas, 2014. "Forecasting spot prices in bulk shipping using multivariate and univariate models," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-37, December.
    17. Smets, Frank & Wouters, Rafael, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," CEPR Discussion Papers 6112, C.E.P.R. Discussion Papers.
    18. Starck, Christian, 1991. "Specifying a Bayesian vector autoregression for short-run macroeconomic forecasting with an application to Finland," Bank of Finland Research Discussion Papers 4/1991, Bank of Finland.
    19. Sandrine Lardic & Auguste Mpacko Priso, 1999. "Une comparaison des prévisions des experts à celles issues des modèles B VAR," Économie et Prévision, Programme National Persée, vol. 140(4), pages 161-180.
    20. Espinosa Acuña, Óscar A. & Vaca González, Paola A. & Avila Forero, Raúl A., 2013. "Elasticidades de demanda por electricidad e impactos macroecon_omicos del precio de la energía eléctrica en Colombia || Elasticity of Electricity Demand and Macroeconomics Impacts of Electricity Price," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 16(1), pages 216-249, December.
    21. Raputsoane, Leroi, 2018. "Targeting financial stress as opposed to the exchange rate," MPRA Paper 84865, University Library of Munich, Germany.
    22. Nicholson, William B. & Matteson, David S. & Bien, Jacob, 2017. "VARX-L: Structured regularization for large vector autoregressions with exogenous variables," International Journal of Forecasting, Elsevier, vol. 33(3), pages 627-651.
    23. Bentour, El Mostafa, 2015. "A ranking of VAR and structural models in forecasting," MPRA Paper 61502, University Library of Munich, Germany.
    24. Raputsoane, Leroi, 2018. "Monetary policy reaction function pre and post the global financial crisis," MPRA Paper 84866, University Library of Munich, Germany.
    25. Bouoiyour, Jamal & Rey, Serge, 1995. "Chocs externes et ajustements des taux de change réels européens [External shocks and adjustment of European real exchange rates]," MPRA Paper 30241, University Library of Munich, Germany.
    26. Roberto Duncan & Enrique Martínez García, 2015. "Forecasting local inflation in Open Economies: What Can a NOEM Model Do?," Globalization Institute Working Papers 235, Federal Reserve Bank of Dallas, revised 21 Dec 2022.
    27. Andrea Bonilla Bolanos, 2012. "External vulnerabilities and economic integration. Is the Union of South American Nations a promising project?," Working Papers 1238, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    28. Margarit Monica-Ionelia, 2022. "Using The Bayesian Var In Monetary Policy Analysis: A Literature Review," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 212-216, February.
    29. Enrique M. Quilis(1), "undated". "Modelos Bvar: Especificación, Estimación E Inferencia," Working Papers 8-02 Classification-JEL :, Instituto de Estudios Fiscales.
    30. Daniel Racette & Jacques Raynauld & Simon Lauzon, 1992. "La règle monétaire de McCallum revue à la lumière de la méthodologie de Litterman," L'Actualité Economique, Société Canadienne de Science Economique, vol. 68(1), pages 262-282.

  16. Robert B. Litterman, 1984. "Above-average national growth in 1985 and 1986," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).

    Cited by:

    1. Yochanan Shachmurove, 2001. "Dynamic Co-movements of Stock Indices: The Emerging Middle Eastern and the United States Markets," Penn CARESS Working Papers ddffc4204cf90a8523fb64134, Penn Economics Department.
    2. Pillai N., Vijayamohanan, 2008. "In Quest of Truth: The War of Methods in Economics," MPRA Paper 8866, University Library of Munich, Germany.
    3. David E. Runkle, 1989. "The U.S. economy in 1990 and 1991: continued expansion likely," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 13(Fall), pages 19-26.
    4. Don H. Kim, 2008. "Challenges in macro-finance modeling," Finance and Economics Discussion Series 2008-06, Board of Governors of the Federal Reserve System (U.S.).
    5. Bharat Trehan, 1989. "Forecasting growth in current quarter real GNP," Economic Review, Federal Reserve Bank of San Francisco, issue Win, pages 39-52.
    6. Ghent, Andra, 2006. "Comparing Models of Macroeconomic Fluctuations: How Big Are the Differences?," MPRA Paper 180, University Library of Munich, Germany.
    7. David E. Runkle, 1990. "Bad news from a forecasting model of the U.S. economy," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 14(Fall), pages 2-10.
    8. Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December.
    9. Robert B. Litterman, 1985. "How monetary policy in 1985 affects the outlook," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 9(Fall).
    10. Theodore M. Crone & Michael P. McLaughlin, 1999. "A Bayesian VAR forecasting model for the Philadelphia Metropolitan Area," Working Papers 99-7, Federal Reserve Bank of Philadelphia.
    11. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    12. Robert B. Litterman, 1986. "The limits of counter-cyclical monetary policy: an analysis based on optimal control theory and vector autoregressions," Working Papers 297, Federal Reserve Bank of Minneapolis.
    13. Robert Ingenito & Bharat Trehan, 1996. "Using monthly data to predict quarterly output," Economic Review, Federal Reserve Bank of San Francisco, pages 3-11.
    14. Preston J. Miller & David E. Runkle, 1989. "The U.S. economy in 1989 and 1990: walking a fine line," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 13(Win), pages 3-10.
    15. Rangan Gupta & Stephen M. Miller, 2009. ""Ripple Effects” and Forecasting Home Prices in Los Angeles, Las Vegas, and Phoenix," Working Papers 0902, University of Nevada, Las Vegas , Department of Economics.
    16. Pami Dua & Nishita Raje & Satyananda Sahoo, 2004. "Interest Rate Modeling and Forecasting in India," Occasional papers 3, Centre for Development Economics, Delhi School of Economics.
    17. Starck, Christian, 1991. "Specifying a Bayesian vector autoregression for short-run macroeconomic forecasting with an application to Finland," Bank of Finland Research Discussion Papers 4/1991, Bank of Finland.
    18. Tom Stark, 1998. "A Bayesian vector error corrections model of the U.S. economy," Working Papers 98-12, Federal Reserve Bank of Philadelphia.
    19. Francisco F. R. Ramos, 1996. "Forecasting market shares using VAR and BVAR models: A comparison of their forecasting performance," Econometrics 9601003, University Library of Munich, Germany.
    20. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," FRB Atlanta Working Paper 2002-14, Federal Reserve Bank of Atlanta.
    21. Claus Brand & Hans-Eggert Reimers & Franz Seitz, 2003. "Narrow Money and the Business Cycle: Theoretical aspects and euro area evdence," Macroeconomics 0303012, University Library of Munich, Germany.
    22. Peter C.B. Phillips, 1992. "Bayes Methods for Trending Multiple Time Series with an Empirical Application to the US Economy," Cowles Foundation Discussion Papers 1025, Cowles Foundation for Research in Economics, Yale University.
    23. Anirvan Banerji & Pami Dua & Stephen M. Miller, 2002. "Performance Evaluation of the New Connecticut Leading Employment Index Using Lead Profiles and BVAR Models," Working papers 2002-34, University of Connecticut, Department of Economics, revised Jun 2005.
    24. David E. Runkle, 1988. "Why no crunch from the crash?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 12(Win), pages 2-7.

  17. Robert B. Litterman & Thomas M. Supel, 1983. "Using vector autoregressions to measure the uncertainty in Minnesota's revenue forecasts," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 7(Spr).

    Cited by:

    1. Daniel R. Feenberg & William Gentry & David Gilroy & Harvey S. Rosen, 1988. "Testing the Rationality of State Revenue Forecasts," NBER Working Papers 2628, National Bureau of Economic Research, Inc.
    2. Leal, Teresa & Pérez, Javier J. & Tujula, Mika & Vidal, Jean-Pierre, 2007. "Fiscal forecasting: lessons from the literature and challenges," Working Paper Series 843, European Central Bank.
    3. M. Mokliak, P. Chernov, A. Vdovychenko, A. Zubritskyi, 2015. "Spatial approach in forecasting tax revenues," Economy and Forecasting, Valeriy Heyets, issue 2, pages 7-20.
    4. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    5. Chimilila, Cyril, . "Forecasting Tax Revenue and its Volatility in Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 5(01).
    6. Pablo Calafiore & Gökçe Soydemir & Rahul Verma, 2010. "The Impact of Business and Consumer Sentiment on Stock Market Returns: Evidence from Brazil," Chapters, in: Brian Bruce (ed.), Handbook of Behavioral Finance, chapter 18, Edward Elgar Publishing.
    7. Sandrine Lardic & Auguste Mpacko Priso, 1999. "Une comparaison des prévisions des experts à celles issues des modèles B VAR," Économie et Prévision, Programme National Persée, vol. 140(4), pages 161-180.
    8. Richard M. Todd, 1984. "Improving economic forecasting with Bayesian vector autoregression," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).
    9. Sayim, Mustafa & Rahman, Hamid, 2015. "An examination of U.S. institutional and individual investor sentiment effect on the Turkish stock market," Global Finance Journal, Elsevier, vol. 26(C), pages 1-17.

  18. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    See citations under working paper version above.
  19. Robert B. Litterman, 1982. "Optimal control of the money supply," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 6(Fall).
    See citations under working paper version above.
  20. Robert B. Litterman & Richard M. Todd, 1982. "As the nation's economy goes, so goes Minnesota's," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 6(Spr / Sum).

    Cited by:

    1. Robert B. Litterman, 1984. "Above-average national growth in 1985 and 1986," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).
    2. Hossain Amirizadeh & Richard M. Todd, 1984. "More growth ahead for Ninth District states," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).

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