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John Campbell Robertson

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. John C. Robertson & Daniel L. Thornton, 1997. "Using federal funds futures rates to predict Federal Reserve actions," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 45-53.

    Mentioned in:

    1. The risk of a collision between the Federal Reserve and the markets
      by zooeygoethe in Economic Objectorvism on 2007-11-17 23:42:21

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. John C. Robertson & Ellis W. Tallman, 1999. "Vector autoregressions: forecasting and reality," Economic Review, Federal Reserve Bank of Atlanta, vol. 84(Q1), pages 4-18.

    Mentioned in:

    1. > Econometrics > Forecasting

Working papers

  1. Hotchkiss, Julie L. & Pitts, M. Melinda & Robertson, John C., 2008. "The Push-Pull Effects of the Information Technology Boom and Bust," MPRA Paper 44800, University Library of Munich, Germany.

    Cited by:

    1. Julie L. Hotchkiss & Menbere Shiferaw, 2010. "Decomposing the education wage gap: everything but the kitchen sink," FRB Atlanta Working Paper 2010-12, Federal Reserve Bank of Atlanta.

  2. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2006. "The push-pull effects of the information technology boom and bust: insight from matched employer-employee data," FRB Atlanta Working Paper 2006-01, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Julie L. Hotchkiss & Menbere Shiferaw, 2010. "Decomposing the education wage gap: everything but the kitchen sink," FRB Atlanta Working Paper 2010-12, Federal Reserve Bank of Atlanta.

  3. Julie L. Hotchkiss & John C. Robertson, 2006. "Asymmetric labor force participation decisions over the business cycle: evidence from U.S. microdata," FRB Atlanta Working Paper 2006-08, Federal Reserve Bank of Atlanta.

    Cited by:

    1. John K. Dagsvik & Tom Kornstad & Terje Skjerpen, 2016. "Discouraged worker effects and barriers against employment for immigrant and non-immigrant women," Discussion Papers 845, Statistics Norway, Research Department.
    2. Mariola Piłatowska & Dorota Witkowska, 2022. "Gender Segregation at Work over Business Cycle—Evidence from Selected EU Countries," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    3. Julie L. Hotchkiss & M. Melinda Pitts & Mary Beth Walker, 2010. "Assessing the impact of education and marriage on labor market exit decisions of women," FRB Atlanta Working Paper 2010-02, Federal Reserve Bank of Atlanta.
    4. Katarzyna Budnik & Michal Greszta & Michal Hulej & Marcin Kolasa & Karol Murawski & Michal Rot & Bartosz Rybaczyk & Magdalena Tarnicka, 2009. "The new macroeconometric model of the Polish economy," NBP Working Papers 62, Narodowy Bank Polski.
    5. Néstor Iván GONZALEZ-QUINTERO & Nancy Aireth DAZA-BAEZ & Nidia Esperanza GARAVITO-CALDERON, 2014. "Determinantes y perfiles de la participación laboral en Colombia: 2002-2013," Archivos de Economía 11788, Departamento Nacional de Planeación.
    6. Julie L. Hotchkiss & M. Melinda Pitts, 2007. "Evidence of demand factors in the determination of the labor market intermittency penalty," FRB Atlanta Working Paper 2007-16, Federal Reserve Bank of Atlanta.
    7. Julie L. Hotchkiss & M. Melinda Pitts & Mary Beth Walker, 2011. "To work or not to work: the economics of a mother's dilemma," FRB Atlanta Working Paper 2011-02, Federal Reserve Bank of Atlanta.
    8. Catalina Amuedo‐Dorantes & Jean Kimmel, 2009. "Moonlighting Over The Business Cycle," Economic Inquiry, Western Economic Association International, vol. 47(4), pages 754-765, October.
    9. Julie L. Hotchkiss & M. Melinda Pitts & Mary Beth Walker, 2008. "Working with children? the probability of mothers exiting the workforce at time of birth," FRB Atlanta Working Paper 2008-08, Federal Reserve Bank of Atlanta.
    10. Jakob Madsen & Vinod Mishra & Russell Smyth, 2008. "Are Labour Force Participation Rates Non‐Stationary? Evidence From 130 Years For G7 Countries," Australian Economic Papers, Wiley Blackwell, vol. 47(2), pages 166-189, June.
    11. Julie Hotchkiss & M. Pitts & Mary Walker, 2011. "Labor force exit decisions of new mothers," Review of Economics of the Household, Springer, vol. 9(3), pages 397-414, September.

  4. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2005. "Earnings on the information technology roller coaster: insight from matched employer-employee data," FRB Atlanta Working Paper 2005-11, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2006. "The push-pull effects of the information technology boom and bust: insight from matched employer-employee data," FRB Atlanta Working Paper 2006-01, Federal Reserve Bank of Atlanta.
    2. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2008. "The Push-Pull Effects of the Information Technology Boom and Bust," Economic Development Quarterly, , vol. 22(3), pages 200-212, August.

  5. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2004. "Wage gains among job changers across the business cycle: insight from state administrative data," FRB Atlanta Working Paper 2004-19, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2006. "The push-pull effects of the information technology boom and bust: insight from matched employer-employee data," FRB Atlanta Working Paper 2006-01, Federal Reserve Bank of Atlanta.
    2. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2005. "Earnings on the information technology roller coaster: insight from matched employer-employee data," FRB Atlanta Working Paper 2005-11, Federal Reserve Bank of Atlanta.
    3. Julie Hotchkiss & M. Pitts & Mary Walker, 2011. "Labor force exit decisions of new mothers," Review of Economics of the Household, Springer, vol. 9(3), pages 397-414, September.

  6. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2003. "The ups and downs of jobs in Georgia: what can we learn about employment dynamics from state administrative data?," FRB Atlanta Working Paper 2003-38, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2004. "Wage gains among job changers across the business cycle: insight from state administrative data," FRB Atlanta Working Paper 2004-19, Federal Reserve Bank of Atlanta.
    2. van der Klaauw, Wilbert, 2005. "Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 154-157, April.

  7. John C. Robertson & Ellis W. Tallman & Charles H. Whiteman, 2002. "Forecasting using relative entropy," FRB Atlanta Working Paper 2002-22, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
    2. Carlo Altavilla & Raffaella Giacomini & Riccardo Costantini, 2014. "Bond Returns and Market Expectations," Journal of Financial Econometrics, Oxford University Press, vol. 12(4), pages 708-729.
    3. Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," SciencePo Working papers Main hal-03458277, HAL.
    4. Ganics, Gergely & Odendahl, Florens, 2021. "Bayesian VAR forecasts, survey information, and structural change in the euro area," International Journal of Forecasting, Elsevier, vol. 37(2), pages 971-999.
    5. Knotek, Edward S. & Zaman, Saeed, 2019. "Financial nowcasts and their usefulness in macroeconomic forecasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
    6. Galvao, Ana Beatriz & Garratt, Anthony & Mitchell, James, 2020. "Does Judgment Improve Macroeconomic Density Forecasts?," EMF Research Papers 33, Economic Modelling and Forecasting Group.
    7. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2008. "The new area-wide model of the euro area: a micro-founded open-economy model for forecasting and policy analysis," Working Paper Series 944, European Central Bank.
    8. 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.
    9. Cogley, Timothy W. & Morozov, Sergei & Sargent, Thomas J., 2003. "Bayesian fan charts for UK inflation: Forecasting and sources of uncertainty in an evolving monetary system," CFS Working Paper Series 2003/44, Center for Financial Studies (CFS).
    10. Carlo Altavilla & Raffaella Giacomini & Giuseppe Ragusa, 2013. "Anchoring the yield curve using survey expectations," CeMMAP working papers 52/13, Institute for Fiscal Studies.
    11. Ider, Gökhan & Kriwoluzky, Alexander & Kurcz, Frederik & Schumann, Ben, 2023. "The Energy-Price Channel of (European) Monetary Policy," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277710, Verein für Socialpolitik / German Economic Association.
    12. Richard K. Crump & Stefano Eusepi & Domenico Giannone & Eric Qian & Argia M. Sbordone, 2021. "A Large Bayesian VAR of the United States Economy," Staff Reports 976, Federal Reserve Bank of New York.
    13. Harrison, Richard & Taylor, Tim, 2012. "Non-rational expectations and the transmission mechanism," Bank of England working papers 448, Bank of England.
    14. Breitenlechner, Max & Georgiadis, Georgios & Schumann, Ben, 2022. "What goes around comes around: How large are spillbacks from US monetary policy?," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 45-60.
    15. Lee Tae-Hwy & Ullah Aman & Mao Millie Yi, 2021. "Maximum Entropy Analysis of Consumption-based Capital Asset Pricing Model and Volatility," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 1-19, January.
    16. Philip Hans Franses, 2021. "Modeling Judgment in Macroeconomic Forecasts," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 401-417, December.
    17. Francesca Monti, 2008. "Forecast with judgment and models," Working Paper Research 153, National Bank of Belgium.
    18. Andrew P Blake & Haroon Mumtaz, 2012. "Applied Bayesian econometrics for central bankers," Technical Books, Centre for Central Banking Studies, Bank of England, edition 1, number 4, April.
    19. Smimou, K. & Bector, C.R. & Jacoby, G., 2007. "A subjective assessment of approximate probabilities with a portfolio application," Research in International Business and Finance, Elsevier, vol. 21(2), pages 134-160, June.
    20. Davide Pettenuzzo & Konstantinos Metaxoglou & Aaron Smith, 2016. "Option-Implied Equity Premium Predictions via Entropic TiltinG," Working Papers 99R, Brandeis University, Department of Economics and International Business School, revised Aug 2016.
    21. Georgiadis, Georgios & Müller, Gernot J. & Schumann, Ben, 2021. "Global risk and the dollar," Working Paper Series 2628, European Central Bank.
    22. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    23. Antolin-Diaz, Juan & Petrella, Ivan & Rubio-Ramirez, Juan F., 2020. "Structural Scenario Analysis with SVARs," EMF Research Papers 32, Economic Modelling and Forecasting Group.
    24. Farooq Akram & Andrew Binning & Junior Maih, 2016. "Joint prediction bands for macroeconomic risk management," Working Paper 2016/7, Norges Bank.
    25. Andrey Zubarev & Daniil Lomonosov & Konstantin Rybak, 2022. "Estimation of the Impact of Global Shocks on the Russian Economy and GDP Nowcasting Using a Factor Model," Russian Journal of Money and Finance, Bank of Russia, vol. 81(2), pages 49-78, June.
    26. Andreas Tryphonides, 2018. "Tilting Approximate Models," Papers 1805.10869, arXiv.org, revised Mar 2024.
    27. Manzan, Sebastiano & Zerom, Dawit, 2009. "Are Macroeconomic Variables Useful for Forecasting the Distribution of U.S. Inflation?," MPRA Paper 14387, University Library of Munich, Germany.
    28. Kenneth Beauchemin & Saeed Zaman, 2011. "A medium scale forecasting model for monetary policy," Working Papers (Old Series) 1128, Federal Reserve Bank of Cleveland.
    29. Francesca Monti, 2010. "Combining Judgment and Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(8), pages 1641-1662, December.
    30. Hall, Stephen G. & Mitchell, James, 2007. "Combining density forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 1-13.
    31. Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2014. "No Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates," CEPR Discussion Papers 9848, C.E.P.R. Discussion Papers.
    32. Christian Kascha & Francesco Ravazzolo, 2008. "Combining inflation density forecasts," Working Paper 2008/22, Norges Bank.
    33. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    34. Österholm, Pär, 2006. "Incorporating Judgement in Fan Charts," Working Paper Series 2006:30, Uppsala University, Department of Economics.
    35. Gary Koop & Stuart McIntyre & James Mitchell, 2018. "UK Regional Nowcasting using a Mixed Frequency Vector Autoregressive Model," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-07, Economic Statistics Centre of Excellence (ESCoE).
    36. Maryam Movahedifar & Hossein Hassani & Masoud Yarmohammadi & Mahdi Kalantari & Rangan Gupta, 2021. "A robust approach for outlier imputation: Singular Spectrum Decomposition," Working Papers 202164, University of Pretoria, Department of Economics.
    37. Chalabi, Yohan & Wuertz, Diethelm, 2012. "Portfolio optimization based on divergence measures," MPRA Paper 43332, University Library of Munich, Germany.
    38. Walker, Todd B & Haley, M. Ryan, 2009. "Alternative Tilts for Nonparametric Option Pricing," MPRA Paper 17140, University Library of Munich, Germany.
    39. Andrew McKenna & Rhys Bidder, 2014. "Robust Stress Testing," 2014 Meeting Papers 853, Society for Economic Dynamics.
    40. Paul H. Kupiec, 2018. "On the accuracy of alternative approaches for calibrating bank stress test models," AEI Economics Working Papers 980152, American Enterprise Institute.
    41. Clements, Michael P., 2016. "Long-run restrictions and survey forecasts of output, consumption and investment," International Journal of Forecasting, Elsevier, vol. 32(3), pages 614-628.
    42. Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers CWP41/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    43. Pablo Guerróon‐Quintana & Molin Zhong, 2023. "Macroeconomic forecasting in times of crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
    44. 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.
    45. Taeyoung Doh, 2017. "Trend and Uncertainty in the Long-Term Real Interest Rate: Bayesian Exponential Tilting with Survey Data," Research Working Paper RWP 17-8, Federal Reserve Bank of Kansas City.
    46. Haley, M. Ryan & McGee, M. Kevin, 2011. ""KLICing" there and back again: Portfolio selection using the empirical likelihood divergence and Hellinger distance," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 341-352, March.
    47. Fabian Krüger & Todd E. Clark & Francesco Ravazzolo, 2017. "Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 470-485, July.
    48. Ursel Baumann & David Lodge & Mirela S. Miescu, 2024. "Global growth on life support? The contributions of fiscal and monetary policy since the global financial crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 76-90, January.
    49. Marco Del Negro & Frank Schorfheide, 2012. "DSGE model-based forecasting," Staff Reports 554, Federal Reserve Bank of New York.
    50. Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2020. "Modelling Returns in US Housing Prices – You’re the One for Me, Fat Tails," Working Papers 2020:13, Örebro University, School of Business.
    51. Bańbura, Marta & Brenna, Federica & Paredes, Joan & Ravazzolo, Francesco, 2021. "Combining Bayesian VARs with survey density forecasts: does it pay off?," Working Paper Series 2543, European Central Bank.
    52. Baumeister, Christiane, 2021. "Measuring Market Expectations," CEPR Discussion Papers 16520, C.E.P.R. Discussion Papers.
    53. Paul Ho, 2020. "Global Robust Bayesian Analysis in Large Models," Working Paper 20-07, Federal Reserve Bank of Richmond.
    54. Salois, Matthew & Moss, Charles, 2010. "An Information Approach to the Dynamics in Farm Income: Implications for Farmland Markets," MPRA Paper 26850, University Library of Munich, Germany.
    55. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    56. Peter Stephensen, 2016. "Logit Scaling: A General Method for Alignment in Microsimulation models," International Journal of Microsimulation, International Microsimulation Association, vol. 9(3), pages 89-102.
    57. Rhys M. Bidder & Raffaella Giacomini & Andrew McKenna, 2016. "Stress Testing with Misspecified Models," Working Paper Series 2016-26, Federal Reserve Bank of San Francisco.
    58. Junior Maih, 2010. "Conditional forecasts in DSGE models," Working Paper 2010/07, Norges Bank.
    59. Dieppe, Alistair & van Roye, Björn & Legrand, Romain, 2016. "The BEAR toolbox," Working Paper Series 1934, European Central Bank.
    60. Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers 41/14, Institute for Fiscal Studies.
    61. Ganics, Gergely & Mertens, Elmar & Clark, Todd E., 2023. "What Is the Predictive Value of SPF Point and Density Forecasts?," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277622, Verein für Socialpolitik / German Economic Association.
    62. Raffaella Giacomini & Barbara Rossi, 2014. "Forecasting in Nonstationary Environments: What Works and What Doesn't in Reduced-Form and Structural Models," Working Papers 819, Barcelona School of Economics.
    63. Tae-Hwy Lee & He Wang & Zhou Xi & Ru Zhang, 2021. "Density Forecast of Financial Returns Using Decomposition and Maximum Entropy," Working Papers 202115, University of California at Riverside, Department of Economics.
    64. Eric Leeper, 2003. "An "Inflation Reports" Report," NBER Working Papers 10089, National Bureau of Economic Research, Inc.
    65. Christoffel, Kai & Coenen, Gunter & Warne, Anders, 2007. "Conditional versus unconditional forecasting with the New Area-Wide Model of the euro area," MPRA Paper 76759, University Library of Munich, Germany.
    66. Bobeica, Elena & Hartwig, Benny, 2021. "The COVID-19 shock and challenges for time series models," Working Paper Series 2558, European Central Bank.
    67. Giacomini, Raffaella & Ragusa, Giuseppe, 2014. "Theory-coherent forecasting," Journal of Econometrics, Elsevier, vol. 182(1), pages 145-155.
    68. Nadiia Shapovalenko, 2021. "A BVAR Model for Forecasting Ukrainian Inflation," IHEID Working Papers 05-2021, Economics Section, The Graduate Institute of International Studies.
    69. Montes-Galdón, Carlos & Paredes, Joan & Wolf, Elias, 2022. "Conditional density forecasting: a tempered importance sampling approach," Working Paper Series 2754, European Central Bank.
    70. Boneva, Lena & Fawcett, Nicholas & Masolo, Riccardo M. & Waldron, Matt, 2019. "Forecasting the UK economy: Alternative forecasting methodologies and the role of off-model information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 100-120.

  8. John C. Robertson & Ellis W. Tallman, 1999. "Improving forecasts of the federal funds rate in a policy model," FRB Atlanta Working Paper 99-3, Federal Reserve Bank of Atlanta.

    Cited by:

    1. 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.
    2. Summers, Peter M., 2001. "Forecasting Australia's economic performance during the Asian crisis," International Journal of Forecasting, Elsevier, vol. 17(3), pages 499-515.
    3. Kjellberg, David, 2006. "Measuring Expectations," Working Paper Series 2006:9, Uppsala University, Department of Economics.
    4. Jean-Baptiste Gossé & Cyriac Guillaumin, 2013. "L’apport de la représentation VAR de Chrisropher A. Sims à la science économique," Post-Print halshs-01075741, HAL.
    5. Peter Anker, 2001. "ECB monetary policy and the DM-dollar exchange rate: evidence from a Bayesian VAR," Applied Economics, Taylor & Francis Journals, vol. 33(12), pages 1553-1562.
    6. 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.

  9. 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.

    Cited by:

    1. Summers, Peter M., 2001. "Forecasting Australia's economic performance during the Asian crisis," International Journal of Forecasting, Elsevier, vol. 17(3), pages 499-515.
    2. Andrea Brischetto & Graham Voss, 1999. "A Structural Vector Autoregression Model of Monetary Policy in Australia," RBA Research Discussion Papers rdp1999-11, Reserve Bank of Australia.
    3. Olfa Kaabia & Ilyes Abid & Khaled Guesmi, 2012. "Does Bayesian Shrinkage Help to Better Reflect What Happened during the Subprime Crisis?," EconomiX Working Papers 2012-46, University of Paris Nanterre, EconomiX.
    4. Kaabia, Olfa & Abid, Ilyes & Mkaouar, Farid, 2016. "The dark side of the black gold shock onto Europe: One stock's joy is another stock's sorrow," Economic Modelling, Elsevier, vol. 58(C), pages 642-654.
    5. Carriero, Andrea & Mumtaz, Haroon & Theophilopoulou, Angeliki, 2015. "Macroeconomic information, structural change, and the prediction of fiscal aggregates," International Journal of Forecasting, Elsevier, vol. 31(2), pages 325-348.
    6. Nurmakhanova Mira, 2016. "Oil and Growth Challenge in Kazakhstan," EERC Working Paper Series 16/06e, EERC Research Network, Russia and CIS.

  10. Pagan, A.R. & Robertson, J.C., 1995. "Structural Models of the Liquidity Effect," Papers 283, Australian National University - Department of Economics.

    Cited by:

    1. Adrian Pagan & M. Hashem Pesaran, 2007. "On Econometric Analysis of Structural Systems with Permanent and Transitory Shocks and Exogenous Variables," CESifo Working Paper Series 1924, CESifo.
    2. Forbes, Kristin & Hjortsø, Ida & Nenova, Tsvetelina, 2020. "International Evidence on Shock-Dependent Exchange Rate Pass-Through," CEPR Discussion Papers 15242, C.E.P.R. Discussion Papers.
    3. Bataa, Erdenebat & Park, Cheolbeom, 2017. "Is the recent low oil price attributable to the shale revolution?," Energy Economics, Elsevier, vol. 67(C), pages 72-82.
    4. Kristin Forbes & Ida Hjortsoe & Tsvetelina Nenova, 2018. "The Shocks Matter: Improving Our Estimates of Exchange Rate Pass-Through," NBER Working Papers 24773, National Bureau of Economic Research, Inc.
    5. Alasdair Scott & George Kapetanios & Adrian Pagan, 2005. "Making a match: combining theory and evidence in policy-oriented macroeconomic modelling," Computing in Economics and Finance 2005 462, Society for Computational Economics.
    6. William D. Lastrapes & W. Douglas McMillin, 2004. "Cross-Country Variation in the Liquidity Effect: The Role of Financial Markets," Economic Journal, Royal Economic Society, vol. 114(498), pages 890-915, October.
    7. Don Bredin & Gerard O'Reilly, 2004. "An analysis of the transmission mechanism of monetary policy in Ireland," Applied Economics, Taylor & Francis Journals, vol. 36(1), pages 49-58.
    8. Stan Hurn & Ralf Becker, 2007. "Testing for nonlinearity in mean in the presence of heteroskedasticity. Working paper #8," NCER Working Paper Series 8, National Centre for Econometric Research.
    9. Luis Catão & Adrian Pagan, 2010. "The Credit Channel and Monetary Transmission in Brazil and Chile: A Structured VAR Approach," NCER Working Paper Series 53, National Centre for Econometric Research.
    10. Adrian R. Pagan & M. Hashem Pesaran, 2008. "Econometric Analysis of Structural Systems with Permanent and Transitory Shocks," Discussion Papers 2008-04, School of Economics, The University of New South Wales.
    11. Daniel L. Thornton, 1998. "The Federal Reserve's operating procedure, nonborrowed reserves, borrowed reserves and the liquidity effect," Working Papers 1998-009, Federal Reserve Bank of St. Louis.
    12. Chevillon, Guillaume & Mavroeidis, Sophocles & Zhan, Zhaoguo, 2016. "Robust inference in structural VARs with long-run restrictions," ESSEC Working Papers WP1702, ESSEC Research Center, ESSEC Business School.
    13. Friedman, Benjamin M. & Kuttner, Kenneth N., 2010. "Implementation of Monetary Policy: How Do Central Banks Set Interest Rates?," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 24, pages 1345-1438, Elsevier.
    14. Anthony Garratt & Kevin Lee & Mohammad Hashem Pesaran & Yongcheol Shin, 2001. "A long run structural macroeconometric model of the UK," Edinburgh School of Economics Discussion Paper Series 35, Edinburgh School of Economics, University of Edinburgh.
    15. Ni, Shawn & Sun, Dongchu, 2003. "Noninformative priors and frequentist risks of bayesian estimators of vector-autoregressive models," Journal of Econometrics, Elsevier, vol. 115(1), pages 159-197, July.
    16. Shawn Chen-Yu Leu, 2006. "A New Keynesian Perspective of Monetary Policy in Australia," Working Papers 2006.01, School of Economics, La Trobe University.
    17. Michael R. Wickens & Roberto Motto, 2001. "Estimating shocks and impulse response functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 371-387.
    18. Cecchetti, Stephen G & Rich, Robert W, 2001. "Structural Estimates of the U.S. Sacrifice Ratio," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 416-427, October.
    19. Danielsson, Jon & Love, Ryan, 2004. "Feedback trading," LSE Research Online Documents on Economics 24760, London School of Economics and Political Science, LSE Library.
    20. W. Douglas McMillin, 2001. "The Effects of Monetary Policy Shocks: Comparing Contemporaneous versus Long‐Run Identifying Restrictions," Southern Economic Journal, John Wiley & Sons, vol. 67(3), pages 618-636, January.
    21. Keuk-Soo Kim & W. Douglas McMillin, 2003. "Estimating the effects of monetary policy shocks: does lag structure matter?," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1515-1526.
    22. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2004. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," NBER Working Papers 10220, National Bureau of Economic Research, Inc.
    23. Andrea Brischetto & Graham Voss, 1999. "A Structural Vector Autoregression Model of Monetary Policy in Australia," RBA Research Discussion Papers rdp1999-11, Reserve Bank of Australia.
    24. Jaebeom Kim & Masao Ogaki & Minseok Yang, 2003. "Structural Error Correction Models: Instrumental Variables Methods and an application to an exchange rate model," RCER Working Papers 502, University of Rochester - Center for Economic Research (RCER).
    25. Daniel Buncic, 2019. "Identification and Estimation Issues in Exponential Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(3), pages 667-685, June.
    26. Kilian, Lutz, 2011. "Structural Vector Autoregressions," CEPR Discussion Papers 8515, C.E.P.R. Discussion Papers.
    27. Firmin Doko Tchatoka & Lauren Slinger & Virginie Masson, 2020. "Revisiting empirical studies on the liquidity effect: An identication-robust approach," School of Economics and Public Policy Working Papers 2020-02, University of Adelaide, School of Economics and Public Policy.
    28. S. G. B Henry & A. R. Pagan, 2004. "The Econometrics of the New Keynesian Policy Model: Introduction," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(s1), pages 581-607, September.
    29. Lastrapes, William D. & Potts, Todd B., 2006. "Durable goods and the forward-looking theory of consumption: Estimates implied by the dynamic effects of money," Journal of Economic Dynamics and Control, Elsevier, vol. 30(8), pages 1409-1430, August.
    30. Halabi, Claudia E. & Lastrapes, William D., 2003. "Estimating the liquidity effect in post-reform Chile: do inflationary expectations matter?," Journal of International Money and Finance, Elsevier, vol. 22(6), pages 813-833, November.
    31. W. Douglas McMillin & William D. Lastrapes, 2001. "Cross-Country Variation in the Liquidity Effect," Departmental Working Papers 2001-04, Department of Economics, Louisiana State University.
    32. Jinill Kim, 1998. "Monetary policy in a stochastic equilibrium model with real and nominal rigidities," Finance and Economics Discussion Series 1998-02, Board of Governors of the Federal Reserve System (U.S.).
    33. Mark Dwyer, 1998. "Impulse Response Priors for Discriminating Structural Vector Autoregressions," UCLA Economics Working Papers 780, UCLA Department of Economics.
    34. Jón Daníelsson & Ryan Love, 2006. "Feedback trading This paper is also available at www.riskresearch.org," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 35-53.
    35. Sam Ouliaris & Adrian Pagan, 2016. "A Method for Working with Sign Restrictions in Structural Equation Modelling," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 605-622, October.
    36. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    37. Hanson, Michael S., 2004. "The "price puzzle" reconsidered," Journal of Monetary Economics, Elsevier, vol. 51(7), pages 1385-1413, October.
    38. Adrian Pagan, 2007. "Weak Instruments: A Guide to the Literature," NCER Working Paper Series 13, National Centre for Econometric Research.
    39. Miyao, Ryuzo, 2000. "The Role of Monetary Policy in Japan: A Break in the 1990s?," Journal of the Japanese and International Economies, Elsevier, vol. 14(4), pages 366-384, December.
    40. Antonis Michis, 2011. "Multiscale Analysis of the Liquidity Effect," Working Papers 2011-5, Central Bank of Cyprus.
    41. W. Douglas McMillin & Keuk-Soo Kim, 2001. "Symmetric versus Asymmetric Lag Structures in Vector Autoregressive Models: A Monte Carlo Analysis with an Application to Estimating the Effects of Monetary Policy Shocks," Departmental Working Papers 2001-01, Department of Economics, Louisiana State University.
    42. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    43. Antonis Michis, 2015. "Multiscale Analysis of the Liquidity Effect in the UK Economy," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 615-633, April.
    44. Esposti, Roberto, 2014. "On why and how agriculture declines," Structural Change and Economic Dynamics, Elsevier, vol. 31(C), pages 73-88.
    45. Roberto ESPOSTI, 2007. "On the Decline of Agriculture. Evidence from Italian Regions in the Post-WWII Period," Working Papers 300, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  11. Pagan, A.R. & Robertson, J.C., 1994. "Resolving the Liquidity Effect," Papers 277, Australian National University - Department of Economics.

    Cited by:

    1. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
    2. Michael J. Dueker & Apostolos Serletis, 1996. "The sensitivity of empirical studies to alternative measures of the monetary base and reserves," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 51-69.
    3. Eichenbaum, Martin, 1995. "Some Comments on the Role of Econometrics in Economic Theory," Economic Journal, Royal Economic Society, vol. 105(433), pages 1609-1621, November.
    4. Thornton, Daniel L., 2000. "The relationship between the federal funds rate and the Fed's federal funds rate target: is it open market or open mouth operations?," Discussion Paper Series 1: Economic Studies 2000,09, Deutsche Bundesbank.
    5. Harold L. Cole & Lee E. Ohanian, 1997. "Shrinking money and monetary business cycles," Working Papers 579, Federal Reserve Bank of Minneapolis.
    6. William D. Lastrapes & W. Douglas McMillin, 2004. "Cross-Country Variation in the Liquidity Effect: The Role of Financial Markets," Economic Journal, Royal Economic Society, vol. 114(498), pages 890-915, October.
    7. Ben S. Bernanke & Ilian Mihov, 1998. "The Liquidity Effect and Long-Run Neutrality," NBER Working Papers 6608, National Bureau of Economic Research, Inc.
    8. Daniel L. Thornton, 1996. "The information content of discount rate announcements: what's behind the announcement effect?," Working Papers 1994-032, Federal Reserve Bank of St. Louis.
    9. Noritaka Kudoh, 2009. "A global analysis of liquidity effects, interest rate rules, and deflationary traps," Economics Bulletin, AccessEcon, vol. 29(2), pages 1492-1498.
    10. Chan Guk Huh, 1995. "Regime switching in the dynamic relationship between the federal funds rate and nonborrowed reserves," Working Papers in Applied Economic Theory 95-11, Federal Reserve Bank of San Francisco.
    11. Michel Normandin & Louis Phaneuf, 1996. "The Liquidity Effect: Testing Identification Conditions Under Time-Varying Conditional Volatility," Econometrics 9607001, University Library of Munich, Germany.
    12. Daniel L. Thornton, 1998. "The Federal Reserve's operating procedure, nonborrowed reserves, borrowed reserves and the liquidity effect," Working Papers 1998-009, Federal Reserve Bank of St. Louis.
    13. Asea, Patrick K. & Blomberg, Brock, 1998. "Lending cycles," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 89-128.
    14. McKibbin, Warwick J. & Pagan, Adrian R. & Robertson, John C., 1998. "Some experiments in constructing a hybrid model for macroeconomic analysis," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 113-142, December.
    15. Charles L. Evans & Kenneth N. Kuttner, 1998. "Can VARs describe monetary policy?," Research Paper 9812, Federal Reserve Bank of New York.
    16. Gert Peersman, 2011. "Macroeconomic Effects of Unconventional Monetary Policy in the Euro Area," CESifo Working Paper Series 3589, CESifo.
    17. Friedman, Benjamin M. & Kuttner, Kenneth N., 2010. "Implementation of Monetary Policy: How Do Central Banks Set Interest Rates?," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 24, pages 1345-1438, Elsevier.
    18. Bouakez, Hafedh & Essid, Badye & Normandin, Michel, 2013. "Stock returns and monetary policy: Are there any ties?," Journal of Macroeconomics, Elsevier, vol. 36(C), pages 33-50.
    19. G. Peersman, 2014. "The Effectiveness of Unconventional Monetary Policies," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/875, Ghent University, Faculty of Economics and Business Administration.
    20. Daniel L. Thornton, 2005. "Open market operations and the federal funds rate," Working Papers 2005-063, Federal Reserve Bank of St. Louis.
    21. Michel Normandin & Louis Phaneuf, 2003. "Monetary Policy Shocks: Testing Identification Conditions Under Time-Varying Conditional Volatility," Cahiers de recherche 03-04, HEC Montréal, Institut d'économie appliquée.
    22. Seth B. Carpenter & Selva Demiralp, 2004. "The liquidity effect in the federal funds market: evidence from daily open market operations," Finance and Economics Discussion Series 2004-61, Board of Governors of the Federal Reserve System (U.S.).
    23. Huh, Chan G. & Lansing, Kevin J., 2000. "Expectations, credibility, and disinflation in a small macroeconomic model," Journal of Economics and Business, Elsevier, vol. 52(1-2), pages 51-86.
    24. David O. Cushman & Tao Zha, 1995. "Identifying monetary policy in a small open economy under flexible exchange rates," FRB Atlanta Working Paper 95-7, Federal Reserve Bank of Atlanta.
    25. Tao Zha, 1996. "Identification, vector autoregression, and block recursion," FRB Atlanta Working Paper 96-8, Federal Reserve Bank of Atlanta.
    26. Keuk-Soo Kim & W. Douglas McMillin, 2003. "Estimating the effects of monetary policy shocks: does lag structure matter?," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1515-1526.
    27. Selva Demiralp & Oscar Jorda, "undated". "The Pavlovian Response of Term Rates to Fed Announcements," Department of Economics 99-06, California Davis - Department of Economics.
    28. Thornton, Daniel L., 2008. "The daily and policy-relevant liquidity effects," Working Paper Series 984, European Central Bank.
    29. Verónica Mies M. & Felipe Morandé L. & Matías Tapia G., 2002. "Monetary Policy and Transmission Mechanisms: New Elements for an old Debate," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 5(3), pages 29-66, December.
    30. Daniel L. Thornton, 2008. "Monetary policy: why money matters and interest rates don't," Working Papers 2008-011, Federal Reserve Bank of St. Louis.
    31. Hamilton, James D., 1998. "The supply and demand for Federal Reserve deposits," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 1-44, December.
    32. Lutkepohl, Helmut & Saikkonen, Pentti, 1997. "Impulse response analysis in infinite order cointegrated vector autoregressive processes," Journal of Econometrics, Elsevier, vol. 81(1), pages 127-157, November.
    33. Hafedh Bouakez & Michel Normandin, 2008. "Fluctuations in the Foreign Exchange Market: How Important are Monetary Policy Shocks?," Cahiers de recherche 0818, CIRPEE.
    34. Verónica Mies & Felipe Morandé & Matías Tapia, 2002. "Política Monetaria y Mecanismos de Transmisión: Nuevos Elementos para una Vieja Discusión," Working Papers Central Bank of Chile 181, Central Bank of Chile.
    35. Cooley, Thomas F. & Dwyer, Mark, 1998. "Business cycle analysis without much theory A look at structural VARs," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 57-88.
    36. Benjamin Kim & Noor Ghazali, 1998. "The Liquidity Effect of Money Shocks on Short-Term Interest Rates: Some International Evidence," International Economic Journal, Taylor & Francis Journals, vol. 12(4), pages 49-63.
    37. Faust, Jon, 1998. "The robustness of identified VAR conclusions about money," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 207-244, December.
    38. Jon Faust & John H. Rogers, 1999. "Monetary policy's role in exchange rate behavior," International Finance Discussion Papers 652, Board of Governors of the Federal Reserve System (U.S.).
    39. Michel Normandin, 2006. "The Effects of Monetary-Policy Shocks on Real Wages: A Multi-Country Investigation The Effects of Monetary-Policy Shocks on Real Wages: A Multi-Country Investigationv," Cahiers de recherche 06-04, HEC Montréal, Institut d'économie appliquée.
    40. Daniel L. Thornton, 1996. "Identifying the liquidity effect: the case of nonborrowed reserves," Working Papers 1996-002, Federal Reserve Bank of St. Louis.
    41. Ariff, Mohamed & Chung, Tin-fah & M., Shamsher, 2012. "Money supply, interest rate, liquidity and share prices: A test of their linkage," Global Finance Journal, Elsevier, vol. 23(3), pages 202-220.
    42. W. Douglas McMillin & William D. Lastrapes, 2001. "Cross-Country Variation in the Liquidity Effect," Departmental Working Papers 2001-04, Department of Economics, Louisiana State University.
    43. Mark Dwyer, 1998. "Impulse Response Priors for Discriminating Structural Vector Autoregressions," UCLA Economics Working Papers 780, UCLA Department of Economics.
    44. Chan Guk Huh, 1996. "Regime switching in the dynamic relationship between the federal funds rate and innovations in nonborrowed reserves," International Finance Discussion Papers 536, Board of Governors of the Federal Reserve System (U.S.).
    45. J. Weymark & H. König & J. Backhaus & B. Hayo & A. Gabriele, 2001. "Book reviews," Journal of Economics, Springer, vol. 73(3), pages 348-368, October.
    46. Sumner, Scott & Gulley, O. David & Newman, Ross, 1998. "Money Demand and Nominal Debt: An Equilibrium Model of the Liquidity Effect," Journal of Macroeconomics, Elsevier, vol. 20(2), pages 267-293, April.
    47. Lawrence J. Christiano, 1996. "Identification and the liquidity effect: a case study," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 20(May), pages 2-13.
    48. Chung, Tin-fah & Ariff, M., 2016. "A test of the linkage among money supply, liquidity and share prices in Asia," Japan and the World Economy, Elsevier, vol. 39(C), pages 48-61.
    49. Vilasuso, Jon, 1999. "The Liquidity Effect and the Operating Procedure of the Federal Reserve," Journal of Macroeconomics, Elsevier, vol. 21(3), pages 443-461, July.
    50. 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.
    51. Shen, Chung-Hua & Chiang, Thomas Chi-Nan, 1999. "Retrieving the vanishing liquidity effect--a threshold vector autoregressive model," Journal of Economics and Business, Elsevier, vol. 51(3), pages 259-277, May.

  12. Robertson, John & Orden, David, 1988. "Cointegration And Long-Run Monetary Neutrality: A Vector Error-Correction Model Of Money And Price Dynamics In New Zealand," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270149, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Cited by:

    1. Kitchen, John & LeBlanc, Michael & Conway, Roger, 1989. "Commodity Prices in Monetary Policy: The Potential Role of Agricultural Commodity Prices," 1989 Annual Meeting, July 30-August 2, Baton Rouge, Louisiana 270491, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

Articles

  1. Taelim Choi & Anil Rapusinga & John C. Robertson & Nancy Green Leigh, 2017. "The Effects of High Growth on New Business Survival," The Review of Regional Studies, Southern Regional Science Association, vol. 47(1), pages 1-23, Winter.

    Cited by:

    1. Steinbach, Sandro, 2023. "The Corporatization of Veterinary Medicine: An Empirical Analysis of Its Impact on Independent Practices," 2023 Annual Meeting, July 23-25, Washington D.C. 335481, Agricultural and Applied Economics Association.
    2. Márta Bisztray & Francesca de Nicola & Balázs Muraközy, 2023. "High-growth firms’ contribution to aggregate productivity growth," Small Business Economics, Springer, vol. 60(2), pages 771-811, February.
    3. Alex Coad & Gregory Scott, 2018. "High-growth firms in Peru," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(75), pages 671-696, May.

  2. Julie L. Hotchkiss & John C. Robertson, 2012. "Asymmetric labour force participation decisions," Applied Economics, Taylor & Francis Journals, vol. 44(16), pages 2065-2073, June.

    Cited by:

    1. Paraskevi Salamaliki & Ioannis Venetis, 2014. "Smooth transition trends and labor force participation rates in the United States," Empirical Economics, Springer, vol. 46(2), pages 629-652, March.
    2. Jorge Belaire-Franch & Amado Peiró, 2015. "Asymmetry in the relationship between unemployment and the business cycle," Empirical Economics, Springer, vol. 48(2), pages 683-697, March.
    3. Peiró, Amado & Belaire-Franch, Jorge & Gonzalo, Maria Teresa, 2012. "Unemployment, cycle and gender," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1167-1175.
    4. Brincikova Zuzana & Darmo Lubomir, 2015. "The Impact of Economic Growth on Gender Specific Unemployment in the EU," Scientific Annals of Economics and Business, Sciendo, vol. 62(3), pages 383-390, November.
    5. Bod’a, Martin & Považanová, Mariana, 2021. "Output-unemployment asymmetry in Okun coefficients for OECD countries," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 307-323.
    6. Julie L. Hotchkiss & Robert E. Moore, 2022. "Some Like it Hot: Assessing Longer-Term Labor Market Benefits from a High-Pressure Economy," International Journal of Central Banking, International Journal of Central Banking, vol. 18(2), pages 193-243, June.
    7. Mercè Sala-Rios & Teresa Torres-Solé & Mariona Farré-Perdiguer, 2018. "Immigrants’ employment and the business cycle in Spain: taking account of gender and origin," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(2), pages 463-490, August.

  3. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2008. "The Push-Pull Effects of the Information Technology Boom and Bust," Economic Development Quarterly, , vol. 22(3), pages 200-212, August.
    See citations under working paper version above.
  4. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2006. "Earnings on the Information Technology Roller Coaster: Insight from Matched Employer‐Employee Data," Southern Economic Journal, John Wiley & Sons, vol. 73(2), pages 342-361, October.
    See citations under working paper version above.
  5. Jason M. DeBacker & Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2005. "It's who you are and what you do: explaining the IT industry wage premium," Economic Review, Federal Reserve Bank of Atlanta, vol. 90(Q 3), pages 37-45.

    Cited by:

    1. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2008. "The Push-Pull Effects of the Information Technology Boom and Bust," Economic Development Quarterly, , vol. 22(3), pages 200-212, August.

  6. Robertson, John C & Tallman, Ellis W & Whiteman, Charles H, 2005. "Forecasting Using Relative Entropy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 383-401, June.
    See citations under working paper version above.
  7. Robertson, John C & Tallman, Ellis W, 2001. "Improving Federal-Funds Rate Forecasts in VAR Models Used for Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(3), pages 324-330, July.

    Cited by:

    1. Moen, Jon R. & Tallman, Ellis W., 2000. "Clearinghouse Membership and Deposit Contraction during the Panic of 1907," The Journal of Economic History, Cambridge University Press, vol. 60(1), pages 145-163, March.
    2. James M. Nason & Ellis W. Tallman, 2012. "Business cycles and financial crises: the roles of credit supply and demand shocks," Working Papers 12-24, Federal Reserve Bank of Philadelphia.
    3. Pär Österholm, 2008. "Can forecasting performance be improved by considering the steady state? An application to Swedish inflation and interest rate," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 41-51.
    4. Patrick C. Higgins & Tao Zha & Karen Zhong, 2016. "Forecasting China's Economic Growth and Inflation," FRB Atlanta Working Paper 2016-7, Federal Reserve Bank of Atlanta.
    5. 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.
    6. Fink, Fabian & Schüler, Yves S., 2015. "The transmission of US systemic financial stress: Evidence for emerging market economies," Journal of International Money and Finance, Elsevier, vol. 55(C), pages 6-26.
    7. Robertson, John C & Tallman, Ellis W & Whiteman, Charles H, 2005. "Forecasting Using Relative Entropy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 383-401, June.
    8. Schüler, Yves S. & Fink, Fabian, 2013. "The Transmission of US Financial Stress: Evidence for Emerging Market Economies," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79692, Verein für Socialpolitik / German Economic Association.
    9. Faust, Jon & Swanson, Eric T. & Wright, Jonathan H., 2004. "Identifying VARS based on high frequency futures data," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1107-1131, September.
    10. Canova, Fabio & Pérez Forero, Fernando J., 2014. "Estimating overidentified, non-recursive, time varying coefficients structural VARs," CEPR Discussion Papers 10022, C.E.P.R. Discussion Papers.
    11. Gurkaynak, Refet S. & Sack, Brian T. & Swanson, Eric P., 2007. "Market-Based Measures of Monetary Policy Expectations," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 201-212, April.
    12. Michael J. Dueker & Katrin Wesche, 2005. "Forecasting macro variables with a Qual VAR business cycle turning point index," Working Papers 2001-019, Federal Reserve Bank of St. Louis.
    13. Sims, Christopher A. & Waggoner, Daniel F. & Zha, Tao, 2008. "Methods for inference in large multiple-equation Markov-switching models," Journal of Econometrics, Elsevier, vol. 146(2), pages 255-274, October.
    14. Christopher A. Sims & Tao Zha, 2005. "Were There Regime Switches in U.S. Monetary Policy?," Working Papers 92, Princeton University, Department of Economics, Center for Economic Policy Studies..
    15. Zachary F. Fisher & Younghoon Kim & Barbara L. Fredrickson & Vladas Pipiras, 2022. "Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data," Psychometrika, Springer;The Psychometric Society, vol. 87(2), pages 1-29, June.
    16. Todd E. Clark & Michael W. McCracken, 2006. "Averaging forecasts from VARs with uncertain instabilities," Research Working Paper RWP 06-12, Federal Reserve Bank of Kansas City.
    17. Todd E. Clark & Michael W. McCracken, 2006. "Forecasting of small macroeconomic VARs in the presence of instabilities," Research Working Paper RWP 06-09, Federal Reserve Bank of Kansas City.
    18. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    19. Eric M. Leeper & Tao Zha, 2002. "Empirical analysis of policy interventions," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    20. 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.
    21. Allen, P. Geoffrey & Fildes, Robert, 2004. "Levels, Differences And Ecms - Principles For Improved Econometric Forecasting," Working Paper Series 14501, University of Massachusetts, Amherst, Department of Resource Economics.
    22. John B. Carlson & Ben R. Craig & William R. Melick, 2005. "Recovering market expectations of FOMC rate changes with options on federal funds futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(12), pages 1203-1242, December.
    23. Par Osterholm, 2008. "A structural Bayesian VAR for model-based fan charts," Applied Economics, Taylor & Francis Journals, vol. 40(12), pages 1557-1569.
    24. Kenneth B. Petersen & Vladimir Pozdnyakov, 2008. "Predicting the Fed," Working papers 2008-07, University of Connecticut, Department of Economics.
    25. Paul Viefers, 2011. "Bayesian Inference for the Mixed-Frequency VAR Model," Discussion Papers of DIW Berlin 1172, DIW Berlin, German Institute for Economic Research.
    26. Erdem, Ergin & Shi, Jing, 2011. "ARMA based approaches for forecasting the tuple of wind speed and direction," Applied Energy, Elsevier, vol. 88(4), pages 1405-1414, April.
    27. Bauer, Andrew & Eisenbeis, Robert & Waggoner, Daniel & Zha, Tao, 2006. "Transparency, expectations, and forecasts," Working Paper Series 637, European Central Bank.
    28. John H. Huston & Roger W. Spencer, 2009. "Speculative excess and the Federal Reserve's response," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 26(1), pages 46-61, March.

  8. John C. Robertson, 2000. "Central bank forecasting: an international comparison," Economic Review, Federal Reserve Bank of Atlanta, vol. 85(Q2), pages 21-32.

    Cited by:

    1. Christopher Gibbs, 2015. "Forecast Combination, Non-linear Dynamics, and the Macroeconomy," Discussion Papers 2015-05, School of Economics, The University of New South Wales.
    2. Sandra Eickmeier & Tim Ng, 2009. "Forecasting national activity using lots of international predictors: an application to New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/04, Reserve Bank of New Zealand.
    3. 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.
    4. 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.
    5. Katerina Smidkova, 2003. "Methods Available to Monetary Policy Makers to Deal with Uncertainty," Macroeconomics 0310002, University Library of Munich, Germany.

  9. John C. Robertson & Ellis W. Tallman, 1999. "Vector autoregressions: forecasting and reality," Economic Review, Federal Reserve Bank of Atlanta, vol. 84(Q1), pages 4-18.

    Cited by:

    1. SENBETA, Sisay Regassa, 2012. "How important are external shocks in explaining growth in Sub-Saharan Africa? Evidence from a Bayesian VAR," Working Papers 2012010, University of Antwerp, Faculty of Business and Economics.
    2. Patrick C. Higgins & Tao Zha & Karen Zhong, 2016. "Forecasting China's Economic Growth and Inflation," FRB Atlanta Working Paper 2016-7, Federal Reserve Bank of Atlanta.
    3. Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta, 2008. "Large Bayesian VARs," Working Paper Series 966, European Central Bank.
    4. Eric M. Leeper & Tao Zha, 2002. "Modest Policy Interventions," NBER Working Papers 9192, National Bureau of Economic Research, Inc.
    5. Silvia Miranda Agrippino & Giovanni Ricco, 2018. "Bayesian vector autoregressions," SciencePo Working papers Main hal-03458277, HAL.
    6. Hanck, Christoph & Prüser, Jan, 2016. "House prices and interest rates: Bayesian evidence from Germany," Ruhr Economic Papers 620, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. 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.
    8. Morley, James & Wong, Benjamin, 2018. "Estimating and Accounting for the Output Gap with Large Bayesian Vector Autoregressions," Working Papers 2018-04, University of Sydney, School of Economics, revised Feb 2019.
    9. Deskar-Škrbić, Milan & Kotarac, Karlo & Kunovac, Davor, 2020. "The third round of euro area enlargement: Are the candidates ready?," Journal of International Money and Finance, Elsevier, vol. 107(C).
    10. Robertson, John C & Tallman, Ellis W & Whiteman, Charles H, 2005. "Forecasting Using Relative Entropy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 383-401, June.
    11. Tim Oliver Berg & Steffen Henzel, 2013. "Point and Density Forecasts for the Euro Area Using Many Predictors: Are Large BVARs Really Superior?," ifo Working Paper Series 155, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    12. Knotek, Edward S. & Zaman, Saeed, 2019. "Financial nowcasts and their usefulness in macroeconomic forecasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
    13. Berg, Tim Oliver, 2015. "Multivariate Forecasting with BVARs and DSGE Models," MPRA Paper 62405, University Library of Munich, Germany.
    14. Peter Zorn, 2020. "Investment under Rational Inattention: Evidence from US Sectoral Data," CESifo Working Paper Series 8436, CESifo.
    15. Evans, Martin D, 2005. "Where Are We Now? Real-Time Estimates of the Macroeconomy," MPRA Paper 831, University Library of Munich, Germany.
    16. Joohun Han & John N. Ng’ombe, 2023. "The relation between wheat, soybean, and hemp acreage: a Bayesian time series analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-12, December.
    17. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Open Access publications 10197/7588, School of Economics, University College Dublin.
    18. Prüser Jan & Hanck Christoph, 2021. "A Comparison of Approaches to Select the Informativeness of Priors in BVARs," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 241(4), pages 501-525, August.
    19. Njenga, Carolyn Ndigwako & Sherris, Michael, 2020. "Modeling mortality with a Bayesian vector autoregression," Insurance: Mathematics and Economics, Elsevier, vol. 94(C), pages 40-57.
    20. Marcin Kolasa & Michał Rubaszek & Paweł Skrzypczyński, 2012. "Putting the New Keynesian DSGE Model to the Real‐Time Forecasting Test," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1301-1324, October.
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  10. John C. Robertson & Ellis W. Tallman, 1998. "Data vintages and measuring forecast model performance," Economic Review, Federal Reserve Bank of Atlanta, vol. 83(Q 4), pages 4-20.

    Cited by:

    1. Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
    2. Evan F. Koenig & Sheila Dolmas & Jeremy Piger, 2003. "The Use and Abuse of Real-Time Data in Economic Forecasting," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 618-628, August.
    3. Adam J. Check & Anna K Nolan & Tyler C. Schipper, 2019. "Forecasting GDP Growth using Disaggregated GDP Revisions," Economics Bulletin, AccessEcon, vol. 39(4), pages 2580-2588.
    4. Dean Croushore & Tom Stark, 1999. "A real-time data set for macroeconomists," Working Papers 99-4, Federal Reserve Bank of Philadelphia.
    5. Michael Pedersen, 2010. "Extracting GDP Signals From the Monthly Indicator of Economic Activity: Evidence From Chilean Real-Time Data," Working Papers Central Bank of Chile 595, Central Bank of Chile.
    6. Clements, Michael P. & Galvao, Ana Beatriz, 2006. "Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US output growth and inflation," Economic Research Papers 269743, University of Warwick - Department of Economics.
    7. Michael P. Clements, 2017. "Assessing Macro Uncertainty in Real-Time When Data Are Subject To Revision," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 420-433, July.
    8. Kitchen, John & Monaco, Ralph, 2003. "Real-Time Forecasting in Practice: The U.S. Treasury Staff's Real-Time GDP Forecast System," MPRA Paper 21068, University Library of Munich, Germany, revised Oct 2003.
    9. Michael P. Clements & Ana Beatriz Galvão, 2009. "Forecasting US output growth using leading indicators: an appraisal using MIDAS models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1187-1206, November.
    10. 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.
    11. John C. Robertson & Ellis W. Tallman, 1999. "Improving forecasts of the federal funds rate in a policy model," FRB Atlanta Working Paper 99-3, Federal Reserve Bank of Atlanta.
    12. Todd E. Clark & Michael W. McCracken, 2007. "Tests of equal predictive ability with real-time data," Research Working Paper RWP 07-06, Federal Reserve Bank of Kansas City.
    13. Jon Faust & John H. Rogers & Jonathan H. Wright, 2000. "News and noise in G-7 GDP announcements," International Finance Discussion Papers 690, Board of Governors of the Federal Reserve System (U.S.).
    14. Dean Croushore & Tom Stark, 2000. "A real-time data set for macroeconomists: does data vintage matter for forecasting?," Working Papers 00-6, Federal Reserve Bank of Philadelphia.
    15. Andres Fernandez & Norman R. Swanson, 2009. "Real-time datasets really do make a difference: definitional change, data release, and forecasting," Working Papers 09-28, Federal Reserve Bank of Philadelphia.
    16. Clements, Michael P. & Galvão, Ana Beatriz, 2010. "Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions," The Warwick Economics Research Paper Series (TWERPS) 953, University of Warwick, Department of Economics.
    17. Marek RUSNAK, 2013. "Revisions to the Czech National Accounts: Properties and Predictability," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(3), pages 244-261, July.
    18. Fang, Tong & Lee, Tae-Hwy & Su, Zhi, 2020. "Predicting the long-term stock market volatility: A GARCH-MIDAS model with variable selection," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 36-49.
    19. Mr. Jens R Clausen & Bianca Clausen, 2010. "Simulating Inflation Forecasting in Real-Time: How Useful Is a Simple Phillips Curve in Germany, the UK, and the US?," IMF Working Papers 2010/052, International Monetary Fund.
    20. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.
    21. Dean Croushore, 2011. "Frontiers of Real-Time Data Analysis," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 72-100, March.
    22. van Dijk, D.J.C. & Franses, Ph.H.B.F. & Ravazzolo, F., 2007. "Evaluating real-time forecasts in real-time," Econometric Institute Research Papers EI 2007-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    23. John C. Robertson & Ellis W. Tallman, 1999. "Vector autoregressions: forecasting and reality," Economic Review, Federal Reserve Bank of Atlanta, vol. 84(Q1), pages 4-18.
    24. Marie Diron, 2008. "Short-term forecasts of euro area real GDP growth: an assessment of real-time performance based on vintage data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 371-390.
    25. Jean-Philippe Cayen & Simon van Norden, 2002. "La fiabilité des estimations de l'écart de production au Canada," Staff Working Papers 02-10, Bank of Canada.
    26. Dean Croushore & Tom Stark, 1999. "Does data vintage matter for forecasting?," Working Papers 99-15, Federal Reserve Bank of Philadelphia.
    27. Peter Tulip, 2009. "Has the Economy Become More Predictable? Changes in Greenbook Forecast Accuracy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1217-1231, September.
    28. Scott Schuh, 2001. "An evaluation of recent macroeconomic forecast errors," New England Economic Review, Federal Reserve Bank of Boston, pages 35-56.
    29. Andrew J. Filardo, 1999. "How reliable are recession prediction models?," Economic Review, Federal Reserve Bank of Kansas City, vol. 84(Q II), pages 35-55.
    30. Vogt Gerit, 2007. "Analyse der Prognoseeigenschaften von ifo-Konjunkturindikatoren unter Echtzeitbedingungen / The Forecasting Performance of ifo-indicators Under Real-time Conditions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(1), pages 87-101, February.
    31. David Hendry & Michael P. Clements, 2010. "Forecasting from Mis-specified Models in the Presence of Unanticipated Location Shifts," Economics Series Working Papers 484, University of Oxford, Department of Economics.

  11. A. R. Pagan & J. C. Robertson, 1998. "Structural Models Of The Liquidity Effect," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 202-217, May.
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  12. McKibbin, Warwick J. & Pagan, Adrian R. & Robertson, John C., 1998. "Some experiments in constructing a hybrid model for macroeconomic analysis," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 113-142, December.

    Cited by:

    1. McKibbin, Warwick J. & Wilcoxen, Peter J., 2013. "A Global Approach to Energy and the Environment," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 995-1068, Elsevier.
    2. Peter N. Ireland, 1999. "A Method for Taking Models to the Data," Boston College Working Papers in Economics 421, Boston College Department of Economics.
    3. Philip Liu, 2007. "Stabilizing The Australian Business Cycle: Good Luck Or Good Policy?," CAMA Working Papers 2007-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Warwick J. McKibbin & Kanhaiya Singh, 2003. "Issues in the Choice of a Monetary Regime for India," Chapters, in: Kaliappa Kalirajan & Ulaganathan Sankar (ed.), Economic Reform and the Liberalisation of the Indian Economy, chapter 10, pages 221-274, Edward Elgar Publishing.
    5. James B. Ang, 2007. "A Survey Of Recent Developments In The Literature Of Finance And Growth," Monash Economics Working Papers 03-07, Monash University, Department of Economics.

  13. S. Levtchenkova & A. R. Pagan & J. C. Robertson, 1998. "Shocking Stories," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 507-532, December.

    Cited by:

    1. Jeon, Yongil & Shields, Michael P., 2008. "The Impact of Relative Cohort Size on U.S. Fertility, 1913-2001," IZA Discussion Papers 3587, Institute of Labor Economics (IZA).
    2. Dungey, Mardi & Fry, Renée, 2009. "The identification of fiscal and monetary policy in a structural VAR," Economic Modelling, Elsevier, vol. 26(6), pages 1147-1160, November.
    3. Zulkefly Abdul Karim & Bakri Abdul Karim, 2016. "Foreign Shocks, Monetary Policy, and Macroeconomic Fluctuations in a Small Open Economy: A SVAR Study of Malaysia," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 12(3), pages 45-67, JUNE.
    4. Hoffman, Mathias, 2001. "The Relative Dynamics of Investment and the Current Account in the G7-Economies," Economic Journal, Royal Economic Society, vol. 111(471), pages 148-163, May.
    5. Ribba, Antonio, 2007. "Permanent disinflationary effects on unemployment in a small open economy: Italy 1979-1995," Economic Modelling, Elsevier, vol. 24(1), pages 66-81, January.
    6. McKibbin, Warwick J. & Pagan, Adrian R. & Robertson, John C., 1998. "Some experiments in constructing a hybrid model for macroeconomic analysis," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 49(1), pages 113-142, December.
    7. Mario J. Crucini & Mototsugu Shintani, 2010. "Measuring business cycles by saving for a rainy day," Globalization Institute Working Papers 50, Federal Reserve Bank of Dallas.
    8. Katrin Assenmacher-Wesche, 2008. "Modeling Monetary Transmission in Switzerland with a Structural Cointegrated VAR Model," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(II), pages 197-246, June.
    9. Anthony Garratt & Kevin Lee & Mohammad Hashem Pesaran & Yongcheol Shin, 2001. "A long run structural macroeconometric model of the UK," Edinburgh School of Economics Discussion Paper Series 35, Edinburgh School of Economics, University of Edinburgh.
    10. David Fielding & Kalvinder Shields, 2001. "A Nation Divided? Price and Output Dynamics in English Regions," Discussion Papers in Economics 01/6, Division of Economics, School of Business, University of Leicester.
    11. Jacobs, Jan P.A.M. & Wallis, Kenneth F., 2010. "Cointegration, long-run structural modelling and weak exogeneity: Two models of the UK economy," Journal of Econometrics, Elsevier, vol. 158(1), pages 108-116, September.
    12. Caporale, Guglielmo Maria & Girardi, Alessandro, 2013. "Price discovery and trade fragmentation in a multi-market environment: Evidence from the MTS system," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 227-240.
    13. Michael R. Wickens & Roberto Motto, 2001. "Estimating shocks and impulse response functions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 371-387.
    14. Marçal, Emerson Fernandes & Zimmermann, Beatrice Aline & Mendonça, Diogo de Prince & Merlin, Giovanni Tondin, 2015. "Addressing important econometric issues on how to construct theoretical based exchange rate misalignment estimates," Textos para discussão 401, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    15. Alessio Moneta & Doris Entner & Patrik O. Hoyer & Alex Coad, 2013. "Causal Inference by Independent Component Analysis: Theory and Applications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 705-730, October.
    16. Adrian Pagan, 2001. "The Getting of Macroeconomic Wisdom," International Economic Association Series, in: Jacques Drèze (ed.), Advances in Macroeconomic Theory, chapter 11, pages 219-235, Palgrave Macmillan.
    17. Mardi Dungey & Denise R Osborn, 2009. "Modelling International Linkages for Large Open Economies: US and Euro Area," Centre for Growth and Business Cycle Research Discussion Paper Series 121, Economics, The University of Manchester.
    18. Centoni, Marco & Cubadda, Gianluca, 2003. "Measuring the business cycle effects of permanent and transitory shocks in cointegrated time series," Economics Letters, Elsevier, vol. 80(1), pages 45-51, July.
    19. Fisher, Lance A. & Huh, Hyeon-Seung & Summers, Peter M., 2000. "Structural Identification of Permanent Shocks in VEC Models: A Generalization," Journal of Macroeconomics, Elsevier, vol. 22(1), pages 53-68, January.
    20. Antonio Ribba, 2006. "The joint dynamics of inflation, unemployment and interest rate in the United States since 1980," Empirical Economics, Springer, vol. 31(2), pages 497-511, June.
    21. Garratt, Anthony & Lee, Kevin C & Pesaran, M. Hashem & Shin, Yongcheol, 1998. "A Structural Cointegrating VAR Approach to Macroeconometric Modelling," Cambridge Working Papers in Economics 9823, Faculty of Economics, University of Cambridge.
    22. Ralf Brüggemann, 2006. "Finite Sample Properties of Impulse Response Intervals in SVECMs with Long-Run Identifying Restrictions," SFB 649 Discussion Papers SFB649DP2006-021, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    23. David Fielding & Kevin Lee & Kalvinder Shields, 2004. "The Characteristics of Macroeconomic Shocks in the CFA Franc Zone," Journal of African Economies, Centre for the Study of African Economies, vol. 13(4), pages 488-517, December.
    24. Zulkefly Abdul Karim & Bakri Abdul Karim, 2016. "Foreign Shocks, Monetary Policy, and Macroeconomic Fluctuations in a Small Open Economy: A SVAR Study of Malaysia," EuroEconomica, Danubius University of Galati, issue 3(12), pages 45-67, JUNE.

  14. John C. Robertson & Daniel L. Thornton, 1997. "Using federal funds futures rates to predict Federal Reserve actions," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 45-53.

    Cited by:

    1. Richard Austin & Jeff Moore, 2002. "The behavior of federal funds futures prices over the monetary policy cycle," Economic Review, Federal Reserve Bank of Atlanta, vol. 87(Q2), pages 45-61.
    2. Dunbar, Kwamie & Amin, Abu S., 2015. "The nature and impact of the market forecasting errors in the Federal funds futures market," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 174-192.
    3. Dominique Guégan & Florian Ielpo, 2008. "Flexible time series models for subjective distribution estimation with monetary policy in view," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 51(1), pages 79-103.
    4. Thornton, Daniel L., 2000. "The relationship between the federal funds rate and the Fed's federal funds rate target: is it open market or open mouth operations?," Discussion Paper Series 1: Economic Studies 2000,09, Deutsche Bundesbank.
    5. Gurkaynak, Refet S. & Sack, Brian T. & Swanson, Eric P., 2007. "Market-Based Measures of Monetary Policy Expectations," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 201-212, April.
    6. Martin Hlusek, 2002. "Estimating Market Probabilities of Future Interest Rate Changes," Working Papers 2002/02, Czech National Bank.
    7. Jorge Inigo, 2017. "Pricing of Mexican Interest Rate Swaps in Presence of Multiple Collateral Currencies," Papers 1703.00923, arXiv.org.
    8. Pérez Quirós, Gabriel & Sicilia, Jorge, 2002. "Is the European Central Bank (and the United States Federal Reserve) predictable?," Working Paper Series 192, European Central Bank.
    9. John S. Lapp & Douglas K. Pearce & Surachit Laksanasut, 2003. "The Predictability of FOMC Decisions: Evidence from the Volcker and Greenspan Chairmanships," Southern Economic Journal, John Wiley & Sons, vol. 70(2), pages 312-327, October.
    10. Kim, Hyerim & Kang, Kyu Ho, 2022. "The Bank of Korea watch," Journal of International Money and Finance, Elsevier, vol. 126(C).
    11. V. Vance Roley & Gordon H. Sellon, 1998. "Market reaction to monetary policy nonannouncements," Research Working Paper 98-06, Federal Reserve Bank of Kansas City.
    12. Dominique Guegan & Florian Ielpo, 2008. "Flexible time series models for subjective distribution estimation with monetary policy in view," Post-Print halshs-00368356, HAL.
    13. Sarno, Lucio & Thornton, Daniel L, 2002. "The Dynamic Relationship Between the Federal Funds rate and the Treasury Bill Rate: An Empirical Investigation," CEPR Discussion Papers 3225, C.E.P.R. Discussion Papers.
    14. Dominique Guegan & Florian Ielpo, 2008. "Flexible time series models for subjective distribution estimation with monetary policy in view," PSE-Ecole d'économie de Paris (Postprint) halshs-00368356, HAL.
    15. Amir Kia, 2011. "Developing a Market-Based Monetary Policy Transparency Index: Evidence from the United States," Economic Issues Journal Articles, Economic Issues, vol. 16(2), pages 53-80, September.
    16. Daniel L. Thornton, 1998. "Tests of the market's reaction to federal funds rate target changes," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 25-36.
    17. Nicholas Taylor, 2010. "The Determinants of Future U.S. Monetary Policy: High-Frequency Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(2-3), pages 399-420, March.
    18. William Poole & Robert H. Rasche, 2000. "Perfecting the market's knowledge of monetary policy," Working Papers 2000-010, Federal Reserve Bank of St. Louis.
    19. Amir KIA, 2009. "Developing a Market-Based Monetary Policy Transparency Index and Testing Its Impact on Risk and Volatility in the United States," EcoMod2009 21500052, EcoMod.
    20. Mr. Kevin Ross, 2002. "Market Predictability of ECB Policy Decisions: A Comparative Examination," IMF Working Papers 2002/233, International Monetary Fund.
    21. Kenneth B. Petersen & Vladimir Pozdnyakov, 2008. "Predicting the Fed," Working papers 2008-07, University of Connecticut, Department of Economics.
    22. Adrienne Kearney & Raymond Lombra, 2003. "Fed funds futures and the news," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 31(4), pages 330-337, December.
    23. Söderström, Ulf, 1999. "Predicting monetary policy using federal funds futures prices," SSE/EFI Working Paper Series in Economics and Finance 307, Stockholm School of Economics.
    24. Sébastien Wälti, 2003. "Contagion and interdependence among Central European economies: the impact of common external shocks," IHEID Working Papers 02-2003, Economics Section, The Graduate Institute of International Studies.
    25. Brian P. Sack, 2002. "Extracting the expected path of monetary policy from futures rates," Finance and Economics Discussion Series 2002-56, Board of Governors of the Federal Reserve System (U.S.).
    26. Raymond E. Owens & Roy H. Webb, 2001. "Using the federal funds futures market to predict monetary policy actions," Economic Quarterly, Federal Reserve Bank of Richmond, issue Spr, pages 69-77.
    27. Teik-Khim Ooi & Wee-Yeap Lau, 2021. "Impact of Market Expectations on the U.S. Interest Rate Lift-Off in ASEAN-5 Financial System," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 243-271, June.
    28. Dominique Guegan & Florian Ielpo, 2007. "Flexible time series models for subjective distribution estimation with monetary policy in view," Post-Print halshs-00188247, HAL.

  15. T. S. Breusch & J. C. Robertson & A. H. Welsh, 1997. "The emperor's new clothes: a critique of the multivariate t regression model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 51(3), pages 269-286, November.

    Cited by:

    1. Castilla, Elena & Zografos, Konstantinos, 2022. "On distance-type Gaussian estimation," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    2. Enzo D'Innocenzo & Alessandra Luati & Mario Mazzocchi, 2020. "A Robust Score-Driven Filter for Multivariate Time Series," Papers 2009.01517, arXiv.org, revised Aug 2022.
    3. Reinaldo Arellano-Valle & Marc Genton, 2010. "An invariance property of quadratic forms in random vectors with a selection distribution, with application to sample variogram and covariogram estimators," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(2), pages 363-381, April.
    4. Shuangzhe Liu & Chris Heyde, 2008. "On estimation in conditional heteroskedastic time series models under non-normal distributions," Statistical Papers, Springer, vol. 49(3), pages 455-469, July.

  16. Adrian R. Pagan & John C. Robertson, 1995. "Resolving the liquidity effect," Proceedings, Federal Reserve Bank of St. Louis, issue May, pages 33-54.
    See citations under working paper version above.
  17. John C. Robertson & David Orden, 1990. "Monetary Impacts on Prices in the Short and Long Run: Some Evidence from New Zealand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(1), pages 160-171.

    Cited by:

    1. Gong, Li & Kinnucan, Henry, 2015. "Effects of Recession and Dollar Weakening on the U.S. Agricultural Trade Balance," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196612, Southern Agricultural Economics Association.
    2. Tabakis, Nikolaos M., 2001. "A Multivariate Model for the Relationship Between Agricultural Prices and Inflation Uncertainty: Evidence Using Greek Data," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 2(1), pages 1-11, January.
    3. Ziotis, Nikolaos & Papadas, Christos T., 2011. "Supply of Money and Food Prices: The Case of Greece," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 12(1).
    4. Cho, Guedae & Kim, MinKyoung & Koo, Won W., 2003. "Relative Agricultural Price Changes In Different Time Horizons," 2003 Annual meeting, July 27-30, Montreal, Canada 22249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Asjaha, T.A. & Jooste, Andre, 2007. "The Effect of Monetary Changes on Relative Agricultural Prices," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 46(4), pages 1-15, December.
    6. Lai, Ching-Chong & Hu, Shih-Wen & Fan, Chih-Ping, 2005. "The Overshooting Hypothesis of Agricultural Prices: The Role of Asset Substitutability," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(1), pages 1-23, April.
    7. Khalid Mushtaq & Abdul Ghafoor & Abedullah & Farhan Ahmad, 2011. "Impact of Monetary and Macroeconomic Factors on Wheat Prices in Pakistan: Implications for Food Security," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 16(1), pages 95-110, Jan-Jun.
    8. Verheyen, Florian, 2010. "Monetary Policy, Commodity Prices and Infl ation – Empirical Evidence from the US," Ruhr Economic Papers 216, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Juan Carlos Echeverry, 1993. "Indicadores de política y canales de transmisión monetaria. Colombia: 1975-1991," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 12(24), pages 7-41, December.
    10. Saghaian, Sayed H. & Reed, Michael R., 2014. "The Impact Of The Recent Federal Reserve Large-Scale Asset Purchases On The Agricultural Commodity Prices: A Historical Decomposition," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(2), pages 1-16, April.
    11. Devadoss, Stephen, 1991. "Tests Of Monetary Neutrality On Farm Output," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(1), pages 1-1, July.
    12. Masih, Abul M. M. & Masih, Rumi, 1996. "Empirical tests to discern the dynamic causal chain in macroeconomic activity: new evidence from Thailand and Malaysia based on a multivariate cointegration/vector error-correction modeling approach," Journal of Policy Modeling, Elsevier, vol. 18(5), pages 531-560, October.
    13. Catherine Laroche-Dupraz & Marilyne Huchet-Bourdon & Anned-Linz Senadin, 2012. "Impact du taux de change sur la sécurité alimentaire des pays en développement," Post-Print hal-02746844, HAL.
    14. Jahantigh , Forough & Rahmi Ghasemabadi , Mohammad & Jalali , Omolbanin, 2018. "The Impact of Monetary Policy Shock on the Price of Storable Goods: A Case Study of Food," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(4), pages 471-490, October.
    15. Burakov, D., 2016. "Oil Prices, Exchange Rate and Prices for Agricultural Commodities: Empirical Evidence from Russia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(2), pages 1-15, June.
    16. Zhengwei MA & Rui XU & Xiucheng DONG, 2015. "World oil prices and agricultural commodity prices: The evidence from China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(12), pages 564-576.
    17. Koo, Won W. & Cho, Guedae & Kim, MinKyoung, 2005. "Macro Effects on Agricultural Prices in Different Time Horizons," 2005 Annual meeting, July 24-27, Providence, RI 19349, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Saghaian, Sayed & Reed, Michael, 2015. "Spillover Effects Of U.S. Federal Reserve’S Recent Quantitative Easing On Canadian Commodity Prices," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(1), pages 1-33, January.
    19. Christophe C. Gouel, 2012. "Agricultural price instability: a survey of competing explanations and remedies," Post-Print hal-01001218, HAL.
    20. Efstratios Loizou & Kostandinos Mattas & Angelos Pagoulatos, 1997. "Macro-monetary effects on agricultural prices: the case of Greek agriculture," Applied Economics Letters, Taylor & Francis Journals, vol. 4(7), pages 397-400.
    21. Yu, Xiaohua, 2014. "Monetary easing policy and long-run food prices: Evidence from China," Economic Modelling, Elsevier, vol. 40(C), pages 175-183.
    22. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," Working Papers 127145, Cornell University, Department of Applied Economics and Management.
    23. Bakucs, Lajos Zoltan & Ferto, Imre, 2009. "Monetary Impacts and Overshooting of Agricultural Prices in a Transition Economy: The Case of Hungary," 2009 Conference, August 16-22, 2009, Beijing, China 51798, International Association of Agricultural Economists.
    24. Masih, Abul M. M. & Masih, Rumi, 1997. "Dynamic linkages and the propagation mechanism driving major international stock markets: An analysis of the pre- and post-crash eras," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(4), pages 859-885.
    25. Jiawu Dai & Liurui Deng & Lan Yang, 2021. "Testing the absorber hypothesis of exchange rates for the overshooting of agricultural prices in China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(8), pages 327-336.
    26. Shahnoushi, Naser & Henneberry, Shida Rastegari & Manssori, Hooman, 2009. "An Examination of the Relationship between Food Prices and Government Monetary Policies in Iran," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46078, Southern Agricultural Economics Association.
    27. Dmitry Burakov, 2016. "Elasticity of Agricultural Prices in Russia: An Empirical Study of Energy and Monetary Channels," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 551-562.
    28. Ioanna Apostolidou & Achilleas Kontogeorgos & Anastasios Michailidis & Efstratios Loizou, 2014. "The Role of Agriculture in Economic Growth: A Comparison of Mediterranean and Northern Views in Europe," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 7(3), pages 81-102, December.
    29. Masih, A. Mansur M. & Masih, Rumi, 2002. "Propagative causal price transmission among international stock markets: evidence from the pre- and postglobalization period," Global Finance Journal, Elsevier, vol. 13(1), pages 63-91.
    30. Masih, Rumi & Masih, Abul M. M., 1996. "Macroeconomic activity dynamics and Granger causality: New evidence from a small developing economy based on a vector error-correction modelling analysis," Economic Modelling, Elsevier, vol. 13(3), pages 407-426, July.
    31. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," 2004 Annual meeting, August 1-4, Denver, CO 20141, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    32. Nikolaos Dritsakis & Antonios Adamopoulos, 2004. "The Causal Relationship Between Domestic Private Consumption and Wholesale Prices: The Case of European Union," European Research Studies Journal, European Research Studies Journal, vol. 0(3-4), pages 53-64.
    33. Bakucs, Lajos Zoltan & Ferto, Imre, 2005. "The Influence of Macroeconomic Variables on the Hungarian Agriculture," 2005 Annual meeting, July 24-27, Providence, RI 19232, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    34. Michael T. Belongia, 1991. "Monetary policy and the farm/nonfarm price ratio: a comparison of effects," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 30-46.
    35. Liu, Donald J. & Chung, Pin J. & Meyers, William H., 1993. "Impact of Domestic and Foreign Macroeconomic Variables on U.S. Meat Exports (The)," Staff General Research Papers Archive 646, Iowa State University, Department of Economics.
    36. Bakucs, Lajos Zoltan & Ferto, Imre, 2005. "Monetary Impacts and Overshooting of Agricultural Prices in a Transition Economy," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24711, European Association of Agricultural Economists.
    37. Triantafyllou, Athanasios & Dotsis, George, 2017. "Option-implied expectations in commodity markets and monetary policy," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 1-17.
    38. Bliska, Flávia Maria de Mello & Guilhoto, Joaquim José Martins, 2000. "Impactos de alterações nas exportações brasileiras de carnes sobre a economia brasileira [Impacts of changes in the Brazilian meat exports on the Brazilian economy]," MPRA Paper 54231, University Library of Munich, Germany.

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