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Robert Litterman

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. 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)
  2. 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 > Time Series Models > VAR Models
    2. > Econometrics > Time Series Models > VAR Models > Bayesian Vector autoregressions (BVARs)
    3. > Econometrics > Forecasting
  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.

    Mentioned in:

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

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. Rick Van der Ploeg & Aart de Zeeuw, 2018. "Pricing Carbon and Adjusting Capital to Fend off Climate Catastrophes," OxCarre Working Papers 207, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    2. 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.
    3. Hjort, Ingrid, 2016. "Potential Climate Risks in Financial Markets: A Literature Overview," Memorandum 01/2016, Oslo University, Department of Economics.
    4. Moreno-Cruz, Juan B. & Wagner, Gernot & Keith, David w., 2017. "An Economic Anatomy of Optimal Climate Policy," Working Paper Series rwp17-028, Harvard University, John F. Kennedy School of Government.
    5. Dietz, Simon & Gollier, Christian & Kessler, Louise, 2015. "The climate beta," TSE Working Papers 15-608, Toulouse School of Economics (TSE).
    6. 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).
    7. William Brock & Anastasios Xepapadeas, 2015. "Modeling Coupled Climate, Ecosystems, and Economic Systems," DEOS Working Papers 1508, Athens University of Economics and Business.
    8. 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).
    9. Garbarino, Nicola & Guin, Benjamin, 2021. "High water, no marks? Biased lending after extreme weather," Journal of Financial Stability, Elsevier, vol. 54(C).
    10. 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.
    11. 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.
    12. Harrison Hong & Frank Weikai Li & Jiangmin Xu, 2016. "Climate Risks and Market Efficiency," NBER Working Papers 22890, National Bureau of Economic Research, Inc.
    13. Meissner, Thomas & Pfeiffer, Philipp, 2022. "Measuring preferences over the temporal resolution of consumption uncertainty," Journal of Economic Theory, Elsevier, vol. 200(C).
    14. 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.
    15. 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).
    16. Adam Michael Bauer & Cristian Proistosescu & Gernot Wagner, 2023. "Carbon Dioxide as a Risky Asset," CESifo Working Paper Series 10278, CESifo.
    17. 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.
    18. Zhang, Zehua & Zhao, Ran, 2022. "Carbon emission and credit default swaps," Finance Research Letters, Elsevier, vol. 50(C).
    19. 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.
    20. Williams III, Roberton C., 2016. "Environmental Taxation," RFF Working Paper Series dp-16-24, Resources for the Future.
    21. 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.
    22. Huang, Bihong & Punzi, Maria Teresa & Wu, Yu, 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.
    23. 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.
    24. Venturini, Alessio, 2022. "Climate change, risk factors and stock returns: A review of the literature," International Review of Financial Analysis, Elsevier, vol. 79(C).
    25. 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.
    26. 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. Enrique M. Quilis(1), "undated". "Modelos Bvar: Especificación, Estimación E Inferencia," Working Papers 8-02 Classification-JEL :, Instituto de Estudios Fiscales.
    2. 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.

  3. Robert B. Litterman, 1985. "Forecasting with Bayesian vector autoregressions five years of experience," Working Papers 274, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Matkovskyy, Roman & Jalan, Akanksha & Dowling, Michael, 2020. "Effects of economic policy uncertainty shocks on the interdependence between Bitcoin and traditional financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 150-155.
    2. Olga Korotkikh, 2020. "A Multi-Country BVAR Model for the External Sector," Russian Journal of Money and Finance, Bank of Russia, vol. 79(4), pages 98-112, December.
    3. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Interactions between Eurozone and US Booms and Busts: A Bayesian Panel Markov-switching VAR Model," Tinbergen Institute Discussion Papers 13-142/III, Tinbergen Institute, revised 01 Nov 2014.
    4. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    5. William A. Barnett & Unja Chae & John W. Keating, 2011. "The Discounted Economic Stock of Money with VAR Forecasting," World Scientific Book Chapters, in: Financial Aggregation And Index Number Theory, chapter 4, pages 107-150, World Scientific Publishing Co. Pte. Ltd..
    6. Rodrigo da Silva Souza & Leonardo Bornacki Mattos, 2023. "Macroeconomic effects of oil price shocks on an emerging market economy," Economic Change and Restructuring, Springer, vol. 56(2), pages 803-824, April.
    7. Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis: this time was different," SciencePo Working papers Main hal-03403269, HAL.
    8. Leonardo Nogueira Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023. "Bayesian Local Projections," Working Papers Series 581, Central Bank of Brazil, Research Department.
    9. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    10. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    11. Andrea Bonilla, 2014. "External vulnerabilities and economic integration. Is the Union of South American Nations a promising project ?," Working Papers halshs-00945044, HAL.
    12. Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2020. "Efficient selection of hyperparameters in large Bayesian VARs using automatic differentiation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 934-943, September.
    13. Ha,Jongrim & Stocker,Marc & Yilmazkuday,Hakan, 2019. "Inflation and Exchange Rate Pass-Through," Policy Research Working Paper Series 8780, The World Bank.
    14. Kilian, L. & Zha, T., 1999. "Quantifying the Half-Life of Deviations from PPP: The Role of Economic Priors," Papers 99-08, Michigan - Center for Research on Economic & Social Theory.
    15. Henzel, Steffen R. & Mayr, Johannes, 2013. "The mechanics of VAR forecast pooling—A DSGE model based Monte Carlo study," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 1-24.
    16. Antonio Pacifico, 2018. "Panel Bayesian VAR Modeling for Policy and Forecasting when dealing with confounding and latent effects," EERI Research Paper Series EERI RP 2018/15, Economics and Econometrics Research Institute (EERI), Brussels.
    17. 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.
    18. Jackson, Laura E. & Owyang, Michael T. & Zubairy, Sarah, 2018. "Debt and stabilization policy: Evidence from a Euro Area FAVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 67-91.
    19. Duncan, Roberto & Martínez-García, Enrique, 2019. "New perspectives on forecasting inflation in emerging market economies: An empirical assessment," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
    20. Louzis Dimitrios P., 2016. "Steady-state priors and Bayesian variable selection in VAR forecasting," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 495-527, December.
    21. Georgescu, Oana-Maria & Martín, Diego Vila, 2021. "Do macroprudential measures increase inequality? Evidence from the euro area household survey," Working Paper Series 2567, European Central Bank.
    22. Mr. Andrea Pescatori & Stefan Laseen, 2016. "Financial Stability and Interest-Rate Policy: A Quantitative Assessment of Costs and Benefits," IMF Working Papers 2016/073, International Monetary Fund.
    23. International Monetary Fund, 2010. "Price Dynamics in China," IMF Working Papers 2010/221, International Monetary Fund.
    24. Costantini, Mauro & Crespo Cuaresma, Jesus & Hlouskova, Jaroslava, 2014. "Can Macroeconomists Get Rich Forecasting Exchange Rates?," Department of Economics Working Paper Series 176, WU Vienna University of Economics and Business.
    25. Gary Koop, 2011. "Forecasting with Medium and Large Bayesian VARs," Working Papers 1117, University of Strathclyde Business School, Department of Economics.
    26. Ehsan Ahmed & J. Rosser & Richard Sheehan, 1989. "A comparison of national and international aggregate supply and demand var models: The United States, Japan and the European economic community," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 125(2), pages 252-272, June.
    27. Ferrari Minesso, Massimo & Pagliari, Maria Sole, 2023. "No country is an island. International cooperation and climate change," Journal of International Economics, Elsevier, vol. 145(C).
    28. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    29. Mathilde Lebrand & Garima Vasishtha & Hakan Yilmazkuday, 2023. "Energy Price Shocks and Current Account Balances: Evidence from Emerging Market and Developing Economies," Working Papers 2305, Florida International University, Department of Economics.
    30. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2001. "Comparing dynamic equilibrium economies to data," FRB Atlanta Working Paper 2001-23, Federal Reserve Bank of Atlanta.
    31. Chew Lian Chua & Sarantis Tsiaplias, 2008. "Can Consumer Sentiment and Its Components Forecast Australian GDP and Consumption?," Melbourne Institute Working Paper Series wp2008n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    32. Bianchi, Francesco & Gómez-Cram, Roberto & Kind, Thilo & Kung, Howard, 2023. "Threats to central bank independence: High-frequency identification with twitter," Journal of Monetary Economics, Elsevier, vol. 135(C), pages 37-54.
    33. Haldane, Andrew & Roberts-Sklar, Matt & Wieladek, Tomasz & Young, Chris, 2016. "QE: The Story so far," Bank of England working papers 624, Bank of England.
    34. Plakandaras, Vasilios & Gupta, Rangan & Papadimitriou, Theophilos & Gogas, Periklis, 2014. "Forecasting the U.S. Real House Price Index," DUTH Research Papers in Economics 10-2014, Democritus University of Thrace, Department of Economics.
    35. Florian Huber & Manfred M. Fischer, 2018. "A Markov Switching Factor‐Augmented VAR Model for Analyzing US Business Cycles and Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(3), pages 575-604, June.
    36. Fady Barsoum, 2013. "The Effects of Monetary Policy Shocks on a Panel of Stock Market Volatilities: A Factor-Augmented Bayesian VAR Approach," Working Paper Series of the Department of Economics, University of Konstanz 2013-15, Department of Economics, University of Konstanz.
    37. Sapci, Ayse & Miles, Bradley, 2017. "Bank Size, Returns to Scale and Cost Efficiency," Working Papers 2017-02, Department of Economics, Colgate University, revised 10 Mar 2017.
    38. Pami Dua & Stephen Miller, 1995. "Forecasting and Analyzing Economic Activity with Coincident and Leading Indexes: The Case of Connecticut," Working papers 1995-05, University of Connecticut, Department of Economics.
    39. Gossé, Jean-Baptiste & Guillaumin, Cyriac, 2013. "L’apport de la représentation VAR de Christopher A. Sims à la science économique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 89(4), pages 309-319, Décembre.
    40. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    41. Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
    42. Barraza, Santiago & Civelli, Andrea, 2020. "Economic policy uncertainty and the supply of business loans," Journal of Banking & Finance, Elsevier, vol. 121(C).
    43. Berger, Tino & Richter, Julia & Wong, Benjamin, 2021. "A unified approach for jointly estimating the business and financial cycle, and the role of financial factors," University of Göttingen Working Papers in Economics 415, University of Goettingen, Department of Economics.
    44. Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2022. "Energy Markets and Global Economic Conditions," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 828-844, October.
    45. Rangan Gupta & Stephen M. Miller, 2009. "“Ripple Effects” and Forecasting Home Prices In Los Angeles, Las Vegas, and Phoenix," Working Papers 200901, University of Pretoria, Department of Economics.
    46. Raju Huidrom & M. Ayhan Kose & Hideaki Matsuoka & Franziska L. Ohnsorge, 2020. "How important are spillovers from major emerging markets?," International Finance, Wiley Blackwell, vol. 23(1), pages 47-63, March.
    47. Neely, Christopher J. & Weller, Paul, 2000. "Predictability in International Asset Returns: A Reexamination," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(4), pages 601-620, December.
    48. Koop, Gary & McIntyre, Stuart & Mitchell, James & Poon, Aubrey, 2019. "Regional Output Growth in the United Kingdom: More Timely and Higher Frequency Estimates, 1970-2017," EMF Research Papers 20, Economic Modelling and Forecasting Group.
    49. Michael T. Belongia & Peter N. Ireland, 2019. "A Classical View of the Business Cycle," NBER Working Papers 26056, National Bureau of Economic Research, Inc.
    50. Evan Anderson & Ai-ru (Meg) Cheng, 2022. "Portfolio Choices with Many Big Models," Management Science, INFORMS, vol. 68(1), pages 690-715, January.
    51. Giovanni Ricco & Riccardo Degasperi & Seokki S. Hong, 2020. "The Global Transmission of U.S. Monetary Policy," Working Papers 814, Economic Research Southern Africa.
    52. Marco Centoni & Gianluca Cubadda, 2015. "Common Feature Analysis of Economic Time Series: An Overview and Recent Developments," CEIS Research Paper 355, Tor Vergata University, CEIS, revised 05 Oct 2015.
    53. 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.
    54. Alain Kabundi & Rangan Gupta, 2009. "A Large Factor Model for Forecasting Macroeconomic Variables in South Africa," Working Papers 137, Economic Research Southern Africa.
    55. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. Van Dijk, 2016. "Interconnections Between Eurozone and us Booms and Busts Using a Bayesian Panel Markov‐Switching VAR Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1352-1370, November.
    56. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    57. Florian Pelgrin & Stéphane Adjemian, 2008. "Un regard bayésien sur les modèles dynamiques de la macroéconomie," Économie et Prévision, Programme National Persée, vol. 183(2), pages 127-152.
    58. Pillai N., Vijayamohanan, 2008. "In Quest of Truth: The War of Methods in Economics," MPRA Paper 8866, University Library of Munich, Germany.
    59. Tsionas, Mike G. & Izzeldin, Marwan & Trapani, Lorenzo, 2022. "Estimation of large dimensional time varying VARs using copulas," European Economic Review, Elsevier, vol. 141(C).
    60. Jacek Osiewalski & Justyna Wróblewska & Kamil Makieła, 2020. "Bayesian comparison of production function-based and time-series GDP models," Empirical Economics, Springer, vol. 58(3), pages 1355-1380, March.
    61. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Real-time nowcasting with a Bayesian mixed frequency model with stochastic volatility," Working Papers (Old Series) 1227, Federal Reserve Bank of Cleveland.
    62. Rocha Lima, Elcyon Caiado & Martinez, Thiago Sevilhano & Cerqueira, Vinícius Santos, 2018. "Monetary Policy and Exchange Rate: Effects on Disaggregated Prices in a FAVAR Model for Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 38(1), May.
    63. 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.
    64. 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.
    65. Rubaszek, Michal & Skrzypczynski, Pawel, 2008. "On the forecasting performance of a small-scale DSGE model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 498-512.
    66. Canova, Fabio & Ciccarelli, Matteo, 2001. "Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model," CEPR Discussion Papers 2961, C.E.P.R. Discussion Papers.
    67. 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.).
    68. Maheu, John M & Song, Yong, 2017. "An Efficient Bayesian Approach to Multiple Structural Change in Multivariate Time Series," MPRA Paper 79211, University Library of Munich, Germany.
    69. Hee Soo (test record) Kim & Christian Matthes & Toan Phan, 2011. "Extreme Weather and the Macroeconomy," Working Paper 21-14, Federal Reserve Bank of Richmond.
    70. Rother, Philipp C., 1998. "European monetary integration and the demand for money," Journal of International Money and Finance, Elsevier, vol. 17(4), pages 691-711, August.
    71. Niko Hauzenberger & Florian Huber & Luca Onorante, 2021. "Combining shrinkage and sparsity in conjugate vector autoregressive models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 304-327, April.
    72. Juan Carlos Cuestas & Merike Kukk, 2019. "Are there asymmetries in the interaction between housing prices and housing credit? Evidence from a country with rapid credit accumulation," Working Papers 2019/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    73. Brave, Scott A. & Butters, R. Andrew & Justiniano, Alejandro, 2019. "Forecasting economic activity with mixed frequency BVARs," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1692-1707.
    74. Mehmet Balcilar & Nico Katzke & Rangan Gupta, 2015. "Do Precious Metal Prices Help in Forecasting South African Inflation?," Working Papers 03/2015, Stellenbosch University, Department of Economics.
    75. 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.
    76. Berg Tim Oliver, 2017. "Forecast accuracy of a BVAR under alternative specifications of the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(2), pages 1-29, April.
    77. Gianni Amisano & John Geweke, 2017. "Prediction Using Several Macroeconomic Models," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 912-925, December.
    78. Waggoner, Daniel F. & Zha, Tao, 2003. "A Gibbs sampler for structural vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 349-366, November.
    79. Muhammad Ejaz & Javed Iqbal, 2019. "Estimation and Forecasting of Industrial Production Index," SBP Working Paper Series 103, State Bank of Pakistan, Research Department.
    80. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," Research Technical Papers 4/RT/98, Central Bank of Ireland.
    81. Michel C. de Souza, 2023. "On the transmission of us uncertainty shocks to the European labor market," Economics Bulletin, AccessEcon, vol. 43(4), pages 1666-1679.
    82. Cuestas, Juan Carlos & Ordóñez, Javier, 2018. "Oil prices and unemployment in the UK before and after the crisis: A Bayesian VAR approach. A note," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 200-207.
    83. Sager, Michael & Taylor, Mark P., 2014. "Generating currency trading rules from the term structure of forward foreign exchange premia," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 230-250.
    84. Mr. Matteo Iacoviello, 2001. "Short-Term Forecasting: Projecting Italian GDPone Quarter to Two Years Ahead," IMF Working Papers 2001/109, International Monetary Fund.
    85. Arumugam, Devika & Prasanna, P. Krishna & Marathe, Rahul R., 2023. "Do algorithmic traders exploit volatility?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    86. Ricco, Giovanni & Miranda-Agrippino, Silvia, 2018. "The Transmission of Monetary Policy Shocks," CEPR Discussion Papers 13396, C.E.P.R. Discussion Papers.
    87. Georg Leitner & Teresa Hübel & Anna Wolfmayr & Manuel Zerobin, 2021. "How risky is Monetary Policy? The Effect of Monetary Policy on Systemic Risk in the Euro Area," Department of Economics Working Papers wuwp312, Vienna University of Economics and Business, Department of Economics.
    88. Jong Chil Son & Hail Park, 2019. "U.S. Interest Rate and Household Debt Sustainability: The Case of Korea," Sustainability, MDPI, vol. 11(14), pages 1-16, July.
    89. 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.
    90. Kaufmann, Sylvia & Kugler, Peter, 2005. "Does Money Matter for Inflation in the Euro Area?," Working papers 2005/09, Faculty of Business and Economics - University of Basel.
    91. 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.
    92. Mehmet Balcilar & Rangan Gupta & Kevin Kotze, 2013. "Forecasting South African Macroeconomic Data with a Nonlinear DSGE Model," Working Papers 201313, University of Pretoria, Department of Economics.
    93. Kaufmann, Sylvia & Valderrama, Maria Teresa, 2007. "The role of credit aggregates and asset prices in the transmission mechanism: a comparison between the euro area and the US," Working Paper Series 816, European Central Bank.
    94. Tom Stark and Dean Croushore, 2001. "Forecasting with a Real-Time Data Set for Macroeconomists," Computing in Economics and Finance 2001 258, Society for Computational Economics.
    95. Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
    96. Luigi Paciello, 2011. "Does Inflation Adjust Faster to Aggregate Technology Shocks than to Monetary Policy Shocks?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(8), pages 1663-1684, December.
    97. Tobias S. Blattner & Michael A. S. Joyce, 2020. "The Euro Area Bond Free Float and the Implications for QE," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(6), pages 1361-1395, September.
    98. Stefański, Maciej, 2022. "Macroeconomic effects and transmission channels of quantitative easing," Economic Modelling, Elsevier, vol. 114(C).
    99. Anttonen, Jetro, 2018. "Nowcasting the Unemployment Rate in the EU with Seasonal BVAR and Google Search Data," ETLA Working Papers 62, The Research Institute of the Finnish Economy.
    100. Jon Huntley & Eric Miller, 2009. "An Evaluation of CBO Forecasts: Working Paper 2009-02," Working Papers 41195, Congressional Budget Office.
    101. Coleman, Simeon & Cuestas, Juan Carlos, 2021. "Panel cointegration, quantile regressions, asymmetric adjustments and crises: The case of EU current accounts," Economic Systems, Elsevier, vol. 45(4).
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    88. Mahbuba Aktar & Mohammad Zoynul Abedin & Anupam Das Gupta, 2021. "The Impact of Monetary Policy Shocks on Corporate Dynamic Investment Activity With Financial Heterogeneity," SAGE Open, , vol. 11(1), pages 21582440209, February.
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    1. Robert B. Litterman, 1982. "Optimal Control of the Money Supply," NBER Working Papers 0912, National Bureau of Economic Research, Inc.

  11. Robert B. Litterman, 1982. "Optimal Control of the Money Supply," NBER Working Papers 0912, National Bureau of Economic Research, Inc.

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    1. Bentour, El Mostafa, 2013. "Oil Prices, Drought Periods and Growth Forecasts in Morocco," MPRA Paper 52892, University Library of Munich, Germany.
    2. Robert B. Litterman, 1984. "Forecasting and policy analysis with Bayesian vector autoregression models," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).
    3. Bennett T. McCallum, 1982. "Macroeconomics After a Decade of Rational Expectations: Some Critical Issues," NBER Working Papers 1050, National Bureau of Economic Research, Inc.
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  12. Robert B. Litterman, 1979. "Techniques of forecasting using vector autoregressions," Working Papers 115, Federal Reserve Bank of Minneapolis.

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    Cited by:

    1. 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. Klotz, Richard & Sharma, Rishi R., 2023. "Trade barriers and CO2," Journal of International Economics, Elsevier, vol. 141(C).
    3. Olijslagers, Stan & van der Ploeg, Frederick & van Wijnbergen, Sweder, 2023. "On current and future carbon prices in a risky world," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    4. 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.
    5. Matteo Gasparini & Peter Tufano, 2023. "The Evolving Academic Field of Climate Finance," Harvard Business School Working Papers 23-057, Harvard Business School.
    6. 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).
    7. Daniel Raimi & Emily Grubert & Jake Higdon & Gilbert Metcalf & Sophie Pesek & Devyani Singh, 2023. "The Fiscal Implications of the US Transition Away from Fossil Fuels," Review of Environmental Economics and Policy, University of Chicago Press, vol. 17(2), pages 295-315.
    8. 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.
    9. 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.
    10. 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).
    11. 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. 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.
    2. 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.
    3. 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.

  4. 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. 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.
    3. 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.).
    4. 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.
    5. Tao Wu, 2001. "Macro factors and the affine term structure of interest rates," Working Paper Series 2002-06, Federal Reserve Bank of San Francisco.
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    4. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    5. William A. Barnett & Unja Chae & John W. Keating, 2011. "The Discounted Economic Stock of Money with VAR Forecasting," World Scientific Book Chapters, in: Financial Aggregation And Index Number Theory, chapter 4, pages 107-150, World Scientific Publishing Co. Pte. Ltd..
    6. Alberto Caruso & Lucrezia Reichlin & Giovanni Ricco, 2019. "Financial and fiscal interaction in the euro area crisis: this time was different," SciencePo Working papers Main hal-03403269, HAL.
    7. Leonardo Nogueira Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023. "Bayesian Local Projections," Working Papers Series 581, Central Bank of Brazil, Research Department.
    8. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    9. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
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    12. Kilian, L. & Zha, T., 1999. "Quantifying the Half-Life of Deviations from PPP: The Role of Economic Priors," Papers 99-08, Michigan - Center for Research on Economic & Social Theory.
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    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. Alain Kabundi & Rangan Gupta, 2009. "A Large Factor Model for Forecasting Macroeconomic Variables in South Africa," Working Papers 137, Economic Research Southern Africa.
    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. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
    7. Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
    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_2), 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. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
    16. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    17. 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.
    18. 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.
    19. 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.

  8. 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. 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. Alain Kabundi & Rangan Gupta, 2009. "A Large Factor Model for Forecasting Macroeconomic Variables in South Africa," Working Papers 137, Economic Research Southern Africa.
    5. 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.
    6. 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.
    7. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
    8. 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.
    9. Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
    10. 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_2), pages 65-85, February.
    11. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    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. 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.
    14. 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.
    15. 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.
    16. Marta Bańbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92, January.
    17. 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.
    18. 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.
    19. Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series 2022-03, School of Economics, University of Cape Town.
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    21. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    22. Doojav, Gan-Ochir, 2021. "Macroeconomic modeling for optimal stabilization policy in Mongolia," MPRA Paper 111206, University Library of Munich, Germany.
    23. 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.
    24. 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.
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  9. 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.
  10. 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. Ullrich Heilemann & Herman O. Stekler, 2010. "Has the Accuracy of German Macroeconomic Forecasts Improved?," Working Papers 2010-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Feb 2012.
    4. 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.

  11. 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. Kerry D. Vandell, 1996. "Improving Secondary Markets in Rural America," Wisconsin-Madison CULER working papers 96-14, University of Wisconsin Center for Urban Land Economic Research.
    2. Bjørnar Karlsen Kivedal, 2013. "A New Keynesian Framework and Wage and Price Dynamics in the US," Working Paper Series 15113, Department of Economics, Norwegian University of Science and Technology.
    3. 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.

  12. 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.
  13. Robert B. Litterman, 1984. "Forecasting and policy analysis with Bayesian vector autoregression models," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).

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    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. 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.
    3. 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.
    4. 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.
    5. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," Research Technical Papers 4/RT/98, Central Bank of Ireland.
    6. 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.
    7. Yuliya Rychalovska & Massimiliano Marcellino (EUI), 2013. "An estimated DSGE model of a Small Open Economy within the Monetary Union: Forecasting and Structural Analysis," EcoMod2013 5302, EcoMod.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Raputsoane, Leroi, 2018. "Targeting financial stress as opposed to the exchange rate," MPRA Paper 84865, University Library of Munich, Germany.
    14. 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.
    15. 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.
    16. Enrique M. Quilis(1), "undated". "Modelos Bvar: Especificación, Estimación E Inferencia," Working Papers 8-02 Classification-JEL :, Instituto de Estudios Fiscales.
    17. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    23. 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.
    24. 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.
    25. Bentour, El Mostafa, 2015. "A ranking of VAR and structural models in forecasting," MPRA Paper 61502, University Library of Munich, Germany.
    26. Raputsoane, Leroi, 2018. "Monetary policy reaction function pre and post the global financial crisis," MPRA Paper 84866, University Library of Munich, Germany.
    27. 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.
    28. 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.
    29. Racette, Daniel & Raynauld, Jacques & Lauzon, Simon, 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, mars et j.

  14. 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. Pami Dua & Stephen Miller, 1995. "Forecasting and Analyzing Economic Activity with Coincident and Leading Indexes: The Case of Connecticut," Working papers 1995-05, University of Connecticut, Department of Economics.
    3. Rangan Gupta & Stephen M. Miller, 2009. "“Ripple Effects” and Forecasting Home Prices In Los Angeles, Las Vegas, and Phoenix," Working Papers 200901, University of Pretoria, Department of Economics.
    4. Pillai N., Vijayamohanan, 2008. "In Quest of Truth: The War of Methods in Economics," MPRA Paper 8866, University Library of Munich, Germany.
    5. 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.).
    6. 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.
    7. 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.
    8. 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.
    9. Pami Dua, 2008. "Interest Rate Modeling and Forecasting in India," Working Papers id:1521, eSocialSciences.
    10. 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.
    11. Tom Stark, 1998. "A Bayesian vector error corrections model of the U.S. economy," Working Papers 98-12, Federal Reserve Bank of Philadelphia.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Bharat Trehan, 1989. "Forecasting growth in current quarter real GNP," Economic Review, Federal Reserve Bank of San Francisco, issue Win, pages 39-52.
    17. Ghent, Andra, 2006. "Comparing Models of Macroeconomic Fluctuations: How Big Are the Differences?," MPRA Paper 180, University Library of Munich, Germany.
    18. 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.
    19. Robert B. Litterman, 1985. "How monetary policy in 1985 affects the outlook," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 9(Fall).
    20. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    21. Robert Ingenito & Bharat Trehan, 1996. "Using monthly data to predict quarterly output," Economic Review, Federal Reserve Bank of San Francisco, pages 3-11.
    22. 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.
    23. Pami Dua & Stephen M. Miller & David J. Smyth, 1996. "Using Leading Indicators to Forecast US Home Sales in a Bayesian VAR Framework," Working papers 1996-08, University of Connecticut, Department of Economics.
    24. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," FRB Atlanta Working Paper 2002-14, Federal Reserve Bank of Atlanta.
    25. 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.
    26. David E. Runkle, 1988. "Why no crunch from the crash?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 12(Win), pages 2-7.

  15. 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. 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.
    2. 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.
    3. Chimilila, Cyril, 2017. "Forecasting Tax Revenue and its Volatility in Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 5(1), January.
    4. 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.
    5. 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.
    6. Feenberg, Daniel R, et al, 1989. "Testing the Rationality of State Revenue Forecasts," The Review of Economics and Statistics, MIT Press, vol. 71(2), pages 300-308, May.
    7. Ford, Stephen A., 1986. "A Beginner'S Guide To Vector Autoregression," Staff Papers 13527, University of Minnesota, Department of Applied Economics.
    8. 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.
    9. Richard M. Todd, 1984. "Improving economic forecasting with Bayesian vector autoregression," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).

  16. 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.
  17. 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.
  18. 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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