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Tara M. Sinclair

Personal Details

First Name:Tara
Middle Name:M.
Last Name:Sinclair
Suffix:
RePEc Short-ID:psi150
[This author has chosen not to make the email address public]
https://sites.google.com/site/taramsinclair/
Twitter: @tarasinc
Terminal Degree:2005 Department of Economics; Washington University in St. Louis (from RePEc Genealogy)

Affiliation

(18%) Department of Economics
George Washington University

Washington, District of Columbia (United States)
http://www.gwu.edu/~econ/

: (202) 994-6150
(202) 994-6147
Monroe Hall #340, 2115 G Street, NW, Washington, DC 20052
RePEc:edi:degwuus (more details at EDIRC)

(18%) Institute for International Economic Policy (IIEP)
Elliott School of International Affairs
George Washington University

Washington, District of Columbia (United States)
http://www.gwu.edu/~iiep/

:


RePEc:edi:iigwuus (more details at EDIRC)

(18%) Elliott School of International Affairs
George Washington University

Washington, District of Columbia (United States)
http://www.gwu.edu/~elliott/

:


RePEc:edi:sigwuus (more details at EDIRC)

(18%) Center for Economic Research
Department of Economics
George Washington University

Washington, District of Columbia (United States)
http://www.gwu.edu/~cer1/

: (202) 994-6755
(202) 994-6147
2201 G Street, NW, Washington, DC 20052
RePEc:edi:cergwus (more details at EDIRC)

(18%) Research Program on Forecasting
Department of Economics
George Washington University

Washington, District of Columbia (United States)
http://www.gwu.edu/~forcpgm/

: (202) 994-6150
(202) 994-6147
(202) 994-6150
RePEc:edi:pfgwuus (more details at EDIRC)

(5%) Centre for Applied Macroeconomic Analysis (CAMA)
Crawford School of Public Policy
Australian National University

Canberra, Australia
http://cama.anu.edu.au/

: +61 2 6125 4442
+61 2 6125 5124
H. W. Arndt Building #25A, The Australian National University, Canberra ACT 2601
RePEc:edi:cmanuau (more details at EDIRC)

(5%) Leibniz-Institut für Wirtschaftsforschung Halle (IWH)

Halle, Germany
http://www.iwh-halle.de/

: (0345) 7753-60
(0345) 7753-820
Kleine Märkerstrasse 8, 06108 Halle (Saale)
RePEc:edi:iwhhhde (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Tara Sinclair & Mariano Mamertino, 2016. "Online Job Search and Migration Intentions Across EU Member States," Working Papers 2016-5, The George Washington University, Institute for International Economic Policy.
  2. Constantin Bürgi & Tara M. Sinclair, 2015. "A Nonparametric Approach to Identifying a Subset of Forecasters that Outperforms the Simple Average," Working Papers 2015-006, The George Washington University, Department of Economics, Research Program on Forecasting.
  3. Pao-Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2015. "Do Fed Forecast Errors Matter?," Wesleyan Economics Working Papers 2015-004, Wesleyan University, Department of Economics.
  4. Guisinger, Amy Y. & Hernandez-Murillo, Ruben & Owyang, Michael T. & Sinclair, Tara M., 2015. "A State-Level Analysis of Okun's Law," Working Papers 2015-29, Federal Reserve Bank of St. Louis, revised 17 Oct 2017.
  5. Tara M. Sinclair & Jeff Messina & Herman Stekler, 2014. "What Can We Learn From Revisions to the Greenbook Forecasts?," Working Papers 2014-14, The George Washington University, Institute for International Economic Policy.
  6. Hans Christian Müller-Dröge & Tara M. Sinclair & H.O. Stekler, 2014. "Evaluating Forecasts of a Vector of Variables: a German Forecasting Competition," CAMA Working Papers 2014-55, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  7. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.
  8. Tara Sinclair & Julia Bersch, 2013. "Statistical Versus Economic Output Gap Measures: Evidence from Mongolia," Working Papers 2013-7, The George Washington University, Institute for International Economic Policy.
  9. Michael D. Bradley & Dennis W. Jansen & Tara M. Sinclair, 2013. "How Well Does "Core" Inflation Capture Permanent Price Changes?," Working Papers 2013-4, The George Washington University, Institute for International Economic Policy.
  10. Tara M. Sinclair & H.O. Stekler & Warren Carnow, 2012. "Evaluating A Vector Of The Fed’S Forecasts," Working Papers 2012-002, The George Washington University, Department of Economics, Research Program on Forecasting.
  11. Tara M. Sinclair, 2012. "Forecasting Data Vintages," Working Papers 2012-001, The George Washington University, Department of Economics, Research Program on Forecasting.
  12. Tara M. Sinclair & H.O. Stekler & Warren Carnow, 2012. "A New Approach For Evaluating Economic Forecasts," Working Papers 2012-004, The George Washington University, Department of Economics, Research Program on Forecasting.
  13. Tara M. Sinclair, 2012. "Characteristics and Implications of Chinese Macroeconomic Data Revisions," Working Papers 2012-09, The George Washington University, Institute for International Economic Policy.
  14. Tara M. Sinclair & H.O. Stekler, 2011. "Differences in Early GDP Component Estimates Between Recession and Expansion," Working Papers 2011-05, The George Washington University, Institute for International Economic Policy.
  15. Julia Bersch & Tara M. Sinclair, 2011. "Mongolia; Measuring the Output Gap," IMF Working Papers 11/79, International Monetary Fund.
  16. Tara M. Sinclair & H.O. Stekler, 2011. "Examining the Quality of Early GDP Component Estimates," Working Papers 2011-001, The George Washington University, Department of Economics, Research Program on Forecasting, revised Dec 2011.
  17. Tara Sinclair & Yeuqing Jia, 2010. "Permanent and Transitory Macroeconomic Relationships between China and the Developed World," Working Papers 2010-08, The George Washington University, Institute for International Economic Policy.
  18. Tara M. Sinclair & Fred Joutz & Herman O. Stekler, 2009. "Can the Fed Predict the State of the Economy?," Working Papers 2009-001, The George Washington University, Department of Economics, Research Program on Forecasting, revised Mar 2010.
  19. Tara M. Sinclair & Dennis W. Jensen & Michael D. Bradley, 2009. "How Well Does "Core" CPI Capture Permanent Price Changes?," Working Papers 2009-13, The George Washington University, Institute for International Economic Policy.
  20. Tara Sinclair & H.O. Stekler & Elizabeth Reid & Edward N. Gamber, 2009. "Jointly Evaluating GDP and Inflation Forcasts in the Context of the Taylor Rule," Working Papers 2008-05, The George Washington University, Institute for International Economic Policy.
  21. Tara M. Sinclair & Fred Joutz & Herman O. Stekler, 2008. "Are 'unbiased' forecasts really unbiased? Another look at the Fed forecasts," Working Papers 2008-010, The George Washington University, Department of Economics, Research Program on Forecasting.
  22. Tara M. Sinclair & Edward N. Gamber & H.O. Stekler & Elizabeth Reid, 2008. "Jointly Evaluating the Federal Reserve’s Forecasts of GDP Growth and Inflation," Working Papers 2008-002, The George Washington University, Department of Economics, Research Program on Forecasting, revised Mar 2011.
  23. Tara Sinclair, 2008. "Asymmetry in the Business Model: Revisiting the Friedman Plucking Model," Working Papers 2008-03, The George Washington University, Institute for International Economic Policy.
  24. Leora Friedberg & Michael T. Owyang & Tara M. Sinclair, 2006. "Searching for better prospects: endogenizing falling job tenure and private pension coverage," Working Papers 2003-038, Federal Reserve Bank of St. Louis.
  25. James Morley & Tara M. Sinclair, 2005. "Testing for Stationarity and Cointegration in an Unobserved Components Framework," Computing in Economics and Finance 2005 451, Society for Computational Economics.
  26. William A. Barnett & Ke- Hong Choi & Tara M. Sinclair, 2001. "The Differential Approach to Superlative Index Number Theory," Econometrics 0111002, University Library of Munich, Germany, revised 28 Dec 2001.
  27. Sinchan Mitra & Tara M. Sinclair, "undated". "Macroeconomic Fluctuations in Emerging Economies: An Unobserved Components Approach," MRG Discussion Paper Series 3911, School of Economics, University of Queensland, Australia.
  28. Sinchan Mitra & Tara M. Sinclair, "undated". "Output Fluctuations in the G-7: An Unobserved Components Approach," MRG Discussion Paper Series 2509, School of Economics, University of Queensland, Australia.

Articles

  1. Guisinger, Amy Y. & Hernandez-Murillo, Ruben & Owyang, Michael T. & Sinclair, Tara M., 2018. "A state-level analysis of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 239-248.
  2. Constantin Bürgi & Tara M. Sinclair, 2017. "A nonparametric approach to identifying a subset of forecasters that outperforms the simple average," Empirical Economics, Springer, vol. 53(1), pages 101-115, August.
  3. Morley, James & Panovska, Irina B. & Sinclair, Tara M., 2017. "Testing Stationarity With Unobserved-Components Models," Macroeconomic Dynamics, Cambridge University Press, vol. 21(01), pages 160-182, January.
  4. Messina, Jeffrey D. & Sinclair, Tara M. & Stekler, Herman, 2015. "What can we learn from revisions to the Greenbook forecasts?," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 54-62.
  5. Bradley, Michael D. & Jansen, Dennis W. & Sinclair, Tara M., 2015. "How Well Does “Core” Inflation Capture Permanent Price Changes?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(04), pages 791-815, June.
  6. Sinclair, Tara M. & Stekler, H.O. & Carnow, Warren, 2015. "Evaluating a vector of the Fed’s forecasts," International Journal of Forecasting, Elsevier, vol. 31(1), pages 157-164.
  7. Daniel Culbertson & Tara Sinclair, 2014. "The Failure of Forecasts in the Great Recession," Challenge, Taylor & Francis Journals, vol. 57(6), pages 34-45.
  8. Julia Bersch & Tara M. Sinclair, 2014. "Statistical versus economic output gap measures: evidence from Mongolia," Economics Bulletin, AccessEcon, vol. 34(3), pages 1864-1874.
  9. Sinclair, Tara M. & Stekler, H.O., 2013. "Examining the quality of early GDP component estimates," International Journal of Forecasting, Elsevier, vol. 29(4), pages 736-750.
  10. Tara M. Sinclair & H. O. Stekler & Warren Carnow, 2012. "A new approach for evaluating economic forecasts," Economics Bulletin, AccessEcon, vol. 32(3), pages 2332-2342.
  11. Sinclair, Tara M. & Gamber, Edward N. & Stekler, Herman & Reid, Elizabeth, 2012. "Jointly evaluating the Federal Reserve’s forecasts of GDP growth and inflation," International Journal of Forecasting, Elsevier, vol. 28(2), pages 309-314.
  12. Mitra, Sinchan & Sinclair, Tara M., 2012. "Output Fluctuations In The G-7: An Unobserved Components Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 16(03), pages 396-422, June.
  13. Sinclair, Tara M. & Joutz, Fred & Stekler, H.O., 2010. "Can the Fed predict the state of the economy?," Economics Letters, Elsevier, vol. 108(1), pages 28-32, July.
  14. Tara Sinclair & H. O. Stekler & L. Kitzinger, 2010. "Directional forecasts of GDP and inflation: a joint evaluation with an application to Federal Reserve predictions," Applied Economics, Taylor & Francis Journals, vol. 42(18), pages 2289-2297.
  15. Sinclair, Tara M. & Stekler, H.O., 2009. "Forecast evaluation of AveAve forecasts in the global VAR context," International Journal of Forecasting, Elsevier, vol. 25(4), pages 693-696, October.
  16. Sinclair Tara M, 2009. "Asymmetry in the Business Cycle: Friedman's Plucking Model with Correlated Innovations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-31, December.
  17. Tara M. Sinclair, 2009. "The Relationships between Permanent and Transitory Movements in U.S. Output and the Unemployment Rate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 529-542, March.
  18. Friedberg Leora & Owyang Michael T & Sinclair Tara M, 2006. "Searching For Better Prospects: Endogenizing Falling Job Tenure and Private Pension Coverage," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(1), pages 1-42, August.
  19. Barnett, William A. & Choi, Ki-Hong & Sinclair, Tara M., 2003. "The Differential Approach to Superlative Index Number Theory," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 0(Supplemen), pages 1-6.

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. Michael D. Bradley & Dennis W. Jansen & Tara M. Sinclair, 2013. "How Well Does "Core" Inflation Capture Permanent Price Changes?," CAMA Working Papers 2013-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Mentioned in:

    1. Links for 05-29-2013
      by Mark Thoma in Economist's View on 2013-05-29 05:03:00

Working papers

  1. Pao-Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2015. "Do Fed Forecast Errors Matter?," Wesleyan Economics Working Papers 2015-004, Wesleyan University, Department of Economics.

    Cited by:

    1. Pierre L. Siklos, 2018. "What has publishing inflation forecasts accomplished? Central banks and their competitors," CAMA Working Papers 2018-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Jennifer Castle & David Hendry, 2016. "Policy Analysis, Forediction, and Forecast Failure," Economics Series Working Papers 809, University of Oxford, Department of Economics.
    3. Jennifer L. Castle & David F. Hendry & Andrew B. Martinez, 2017. "Evaluating Forecasts, Narratives and Policy Using a Test of Invariance," Econometrics, MDPI, Open Access Journal, vol. 5(3), pages 1-27, September.
    4. Ettmeier, Stephanie & Kriwoluzky, Alexander, 2017. "Same, but different: Testing monetary policy shock measures," IWH Discussion Papers 9/2017, Halle Institute for Economic Research (IWH).

  2. Guisinger, Amy Y. & Hernandez-Murillo, Ruben & Owyang, Michael T. & Sinclair, Tara M., 2015. "A State-Level Analysis of Okun's Law," Working Papers 2015-29, Federal Reserve Bank of St. Louis, revised 17 Oct 2017.

    Cited by:

    1. Ondřej Dvouletý & Alisa Gordievskaya & David Anthony Procházka, 2018. "Investigating the relationship between entrepreneurship and regional development: case of developing countries," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 8(1), pages 1-9, December.
    2. Bande, Roberto & Martín-Román, Ángel L., 2017. "Regional differences in the Okun’s Relationship: New Evidence for Spain (1980-2015)," MPRA Paper 79833, University Library of Munich, Germany.
    3. Grant, Angelia L., 2018. "The Great Recession and Okun's law," Economic Modelling, Elsevier, vol. 69(C), pages 291-300.

  3. Tara M. Sinclair & Jeff Messina & Herman Stekler, 2014. "What Can We Learn From Revisions to the Greenbook Forecasts?," Working Papers 2014-14, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Katharina Glass & Ulrich Fritsche, 2015. "Real-time Macroeconomic Data and Uncertainty," Macroeconomics and Finance Series 201406, University of Hamburg, Department of Socioeconomics.
    2. Dovern, Jonas & Jannsen, Nils, 2017. "Systematic errors in growth expectations over the business cycle," International Journal of Forecasting, Elsevier, vol. 33(4), pages 760-769.
    3. Jacobs, Jan P.A.M. & van Norden, Simon, 2016. "Why are initial estimates of productivity growth so unreliable?," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 200-213.
    4. Constantin Burgi, 2016. "What Do We Lose When We Average Expectations?," Working Papers 2016-013, The George Washington University, Department of Economics, Research Program on Forecasting.
    5. Xie, Zixiong & Hsu, Shih-Hsun, 2016. "Time varying biases and the state of the economy," International Journal of Forecasting, Elsevier, vol. 32(3), pages 716-725.
    6. Sergey V. Smirnov & Daria A. Avdeeva, 2016. "Wishful Bias in Predicting Us Recessions: Indirect Evidence," HSE Working papers WP BRP 135/EC/2016, National Research University Higher School of Economics.

  4. Hans Christian Müller-Dröge & Tara M. Sinclair & H.O. Stekler, 2014. "Evaluating Forecasts of a Vector of Variables: a German Forecasting Competition," CAMA Working Papers 2014-55, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Jonas Dovern & Martin Feldkircher & Florian Huber, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 200, Oesterreichische Nationalbank (Austrian Central Bank).
    2. Ulrich Fritsche & Artur Tarassow, 2017. "Vergleichende Evaluation der Konjunkturprognosen des Instituts für Makroökonomie und Konjunkturforschung an der Hans-Böckler-Stiftung für den Zeitraum 2005-2014," IMK Studies 54-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    3. Mihaela SIMIONESCU, 2015. "The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance," Management Dynamics in the Knowledge Economy Journal, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 133-149, March.
    4. Dovern, Jonas, 2015. "A multivariate analysis of forecast disagreement: Confronting models of disagreement with survey data," European Economic Review, Elsevier, vol. 80(C), pages 16-35.

  5. Michael D. Bradley & Dennis W. Jansen & Tara M. Sinclair, 2013. "How Well Does "Core" Inflation Capture Permanent Price Changes?," Working Papers 2013-4, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Myers, Robert J. & Johnson, Stanley R. & Helmar, Michael & Baumes, Harry, 2018. "Long-run and short-run relationships between oil prices, producer prices, and consumer prices: What can we learn from a permanent-transitory decomposition?," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 175-190.
    2. Ferreira, Pedro Costa & Mattos, Daiane Marcolino de & Ardeo, Vagner Laerte, 2017. "Triple-Filter core inflation: a measure of the inflation trajectory," Revista Brasileira de Economia - RBE, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 71(4), December.
    3. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.

  6. Tara M. Sinclair & H.O. Stekler & Warren Carnow, 2012. "Evaluating A Vector Of The Fed’S Forecasts," Working Papers 2012-002, The George Washington University, Department of Economics, Research Program on Forecasting.

    Cited by:

    1. David Hendry & Andrew B. Martinez, 2016. "Evaluating Multi-Step System Forecasts with Relatively Few Forecast-Error Observations," Economics Series Working Papers 784, University of Oxford, Department of Economics.
    2. Ericsson, Neil R., 2015. "Eliciting GDP Forecasts from the FOMC’s Minutes Around the Financial Crisis," International Finance Discussion Papers 1152, Board of Governors of the Federal Reserve System (U.S.).
    3. Chang, Andrew C. & Hanson, Tyler J., 2016. "The accuracy of forecasts prepared for the Federal Open Market Committee," Journal of Economics and Business, Elsevier, vol. 83(C), pages 23-43.
    4. Tara Sinclair & Herman O. Stekler & Warren Carnow, 2012. "A New Approach For Evaluating Economic Forecasts," Working Papers 2012-2, The George Washington University, Institute for International Economic Policy.
    5. Xie, Zixiong & Hsu, Shih-Hsun, 2016. "Time varying biases and the state of the economy," International Journal of Forecasting, Elsevier, vol. 32(3), pages 716-725.

  7. Tara M. Sinclair & H.O. Stekler & Warren Carnow, 2012. "A New Approach For Evaluating Economic Forecasts," Working Papers 2012-004, The George Washington University, Department of Economics, Research Program on Forecasting.

    Cited by:

    1. David Hendry & Andrew B. Martinez, 2016. "Evaluating Multi-Step System Forecasts with Relatively Few Forecast-Error Observations," Economics Series Working Papers 784, University of Oxford, Department of Economics.
    2. Neil R. Ericsson, 2017. "How Biased Are U.S. Government Forecasts of the Federal Debt?," International Finance Discussion Papers 1189, Board of Governors of the Federal Reserve System (U.S.).
    3. Tara Sinclair & Herman O. Stekler & Warren Carrow, 2012. "Evaluating a Vector of the Fed's Forecasts," Working Papers 2012-3, The George Washington University, Institute for International Economic Policy.
    4. Stekler, Herman & Symington, Hilary, 2016. "Evaluating qualitative forecasts: The FOMC minutes, 2006–2010," International Journal of Forecasting, Elsevier, vol. 32(2), pages 559-570.
    5. Döhrn, Roland, 2015. "Der Prognostiker des Jahres: Ein Zufallsergebnis? Möglichkeiten einer mehrdimensionalen Evaluierung von Konjunkturprognosen," IBES Diskussionsbeiträge 208, University of Duisburg-Essen, Institute of Business and Economic Studie (IBES).
    6. Herman O. Stekler & Hilary Symington, 2014. "How Did The Fomc View The Great Recession As It Was Happening?: Evaluating The Minutes From Fomc Meetings, 2006-2010," Working Papers 2014-005, The George Washington University, Department of Economics, Research Program on Forecasting.
    7. Laurence M. Ball & João Tovar Jalles & Prakash Loungani, 2014. "Do Forecasters Believe in Okun’s Law? An Assessment of Unemployment and Output Forecasts," IMF Working Papers 14/24, International Monetary Fund.
    8. Sergey V. Smirnov & Daria A. Avdeeva, 2016. "Wishful Bias in Predicting Us Recessions: Indirect Evidence," HSE Working papers WP BRP 135/EC/2016, National Research University Higher School of Economics.
    9. Sergey V. Smirnov, 2014. "Predicting US Recessions: Does a Wishful Bias Exist?," HSE Working papers WP BRP 77/EC/2014, National Research University Higher School of Economics.

  8. Tara M. Sinclair, 2012. "Characteristics and Implications of Chinese Macroeconomic Data Revisions," Working Papers 2012-09, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Fernald, John & Hsu, Eric & Spiegel, Mark M., 2015. "Is China fudging its figures? Evidence from trading partner data," BOFIT Discussion Papers 29/2015, Bank of Finland, Institute for Economies in Transition.
    2. Carsten A. Holz, 2014. "The Quality of China’s GDP Statistics," a/ Working Papers Series 1403, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    3. Pang, Ke & Siklos, Pierre L., 2016. "Macroeconomic consequences of the real-financial nexus: Imbalances and spillovers between China and the U.S," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 195-212.
    4. Harry X. Wu & Eric Girardin, 2016. "The ‘new’ normal is ‘old’ in China: Very late catching up and return to the (pre-WTO) old normal," EcoMod2016 9721, EcoMod.
    5. Baum, Christopher F. & Kurov, Alexander & Wolfe, Marketa Halova, 2015. "What do Chinese macro announcements tell us about the world economy?," Journal of International Money and Finance, Elsevier, vol. 59(C), pages 100-122.

  9. Tara M. Sinclair & H.O. Stekler, 2011. "Differences in Early GDP Component Estimates Between Recession and Expansion," Working Papers 2011-05, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Manik L. Shrestha & Marco Marini, 2013. "Quarterly GDP Revisions in G-20 Countries; Evidence from the 2008 Financial Crisis," IMF Working Papers 13/60, International Monetary Fund.
    2. Jürgen Bierbaumer-Polly & Sandra Bilek-Steindl & Marcus Scheiblecker, 2015. "Analysis of the Revisions to the Quarterly National Accounts Since the Introduction of Flash Estimates in 2005," WIFO Bulletin, WIFO, vol. 20(2), pages 14-30, February.
    3. Jürgen Bierbaumer-Polly & Sandra Bilek-Steindl & Marcus Scheiblecker, 2014. "An Analysis of Revisions to Quarterly National Accounts Since the Introduction of Flash Estimates in 2005," WIFO Monatsberichte (monthly reports), WIFO, vol. 87(10), pages 693-710, October.

  10. Julia Bersch & Tara M. Sinclair, 2011. "Mongolia; Measuring the Output Gap," IMF Working Papers 11/79, International Monetary Fund.

    Cited by:

    1. Yueqing Jia, 2011. "A New Look at China’s Output Fluctuations: Quarterly GDP Estimation with an Unobserved Components Approach," Working Papers 2011-006, The George Washington University, Department of Economics, Research Program on Forecasting.

  11. Tara M. Sinclair & H.O. Stekler, 2011. "Examining the Quality of Early GDP Component Estimates," Working Papers 2011-001, The George Washington University, Department of Economics, Research Program on Forecasting, revised Dec 2011.

    Cited by:

    1. Jonas Dovern & Martin Feldkircher & Florian Huber, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 200, Oesterreichische Nationalbank (Austrian Central Bank).
    2. Tara Sinclair & Herman O. Stekler & Warren Carrow, 2012. "Evaluating a Vector of the Fed's Forecasts," Working Papers 2012-3, The George Washington University, Institute for International Economic Policy.
    3. Hans Christian Müller-Dröge & Tara M. Sinclair & Herman O. Stekler, 2014. "Evaluating Forecasts Of A Vector Of Variables: A German Forecasting Competition," Working Papers 2014-004, The George Washington University, Department of Economics, Research Program on Forecasting.
    4. van Bergeijk, P.A.G., 2017. "Measurement error of global production," ISS Working Papers - General Series 632, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    5. Tara M. Sinclair, 2012. "Characteristics and Implications of Chinese Macroeconomic Data Revisions," Working Papers 2012-09, The George Washington University, Institute for International Economic Policy.
    6. Valentina Raponi & Cecilia Frale, 2014. "Revisions in official data and forecasting," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(3), pages 451-472, August.
    7. Eugen Scarlat, 2016. "Connectivity - Based Clustering of GDP Time Series," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 23-38, March.

  12. Tara Sinclair & Yeuqing Jia, 2010. "Permanent and Transitory Macroeconomic Relationships between China and the Developed World," Working Papers 2010-08, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Pym Manopimoke, 2012. "Hong Kong Inflation Dynamics: Trend and Cycle Relationships with the U.S. and China," Working Papers 232012, Hong Kong Institute for Monetary Research.

  13. Tara M. Sinclair & Fred Joutz & Herman O. Stekler, 2009. "Can the Fed Predict the State of the Economy?," Working Papers 2009-001, The George Washington University, Department of Economics, Research Program on Forecasting, revised Mar 2010.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
    2. Pao-Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2016. "Do Fed Forecast Errors Matter?," Working Papers 2016-007, The George Washington University, Department of Economics, Research Program on Forecasting.
    3. Neil R. Ericsson, 2017. "How Biased Are U.S. Government Forecasts of the Federal Debt?," International Finance Discussion Papers 1189, Board of Governors of the Federal Reserve System (U.S.).
    4. Tara Sinclair & Herman O. Stekler & Warren Carrow, 2012. "Evaluating a Vector of the Fed's Forecasts," Working Papers 2012-3, The George Washington University, Institute for International Economic Policy.
    5. Ericsson, Neil R., 2015. "Eliciting GDP Forecasts from the FOMC’s Minutes Around the Financial Crisis," International Finance Discussion Papers 1152, Board of Governors of the Federal Reserve System (U.S.).
    6. Sinclair, Tara M. & Stekler, H.O., 2013. "Examining the quality of early GDP component estimates," International Journal of Forecasting, Elsevier, vol. 29(4), pages 736-750.
    7. Jeff Messina & Tara M. Sinclair & Herman O. Stekler, 2014. "What Can We Learn From Revisions To The Greenbook Forecasts?," Working Papers 2014-003, The George Washington University, Department of Economics, Research Program on Forecasting.
    8. Tara Sinclair & Herman O. Stekler & Warren Carnow, 2012. "A New Approach For Evaluating Economic Forecasts," Working Papers 2012-2, The George Washington University, Institute for International Economic Policy.
    9. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    10. Dovern, Jonas & Jannsen, Nils, 2017. "Systematic errors in growth expectations over the business cycle," International Journal of Forecasting, Elsevier, vol. 33(4), pages 760-769.
    11. Henning Fischer & Marta García-Bárzana & Peter Tillmann & Peter Winker, 2014. "Evaluating FOMC forecast ranges: an interval data approach," Empirical Economics, Springer, vol. 47(1), pages 365-388, August.
    12. Natalia T. Tamirisa & Prakash Loungani & Herman O. Stekler, 2011. "Information Rigidity in Growth Forecasts; Some Cross-Country Evidence," IMF Working Papers 11/125, International Monetary Fund.
    13. Xie, Zixiong & Hsu, Shih-Hsun, 2016. "Time varying biases and the state of the economy," International Journal of Forecasting, Elsevier, vol. 32(3), pages 716-725.
    14. Bürgi, Constantin, 2017. "Bias, rationality and asymmetric loss functions," Economics Letters, Elsevier, vol. 154(C), pages 113-116.
    15. Daniel Culbertson & Tara Sinclair, 2014. "The Failure of Forecasts in the Great Recession," Challenge, Taylor & Francis Journals, vol. 57(6), pages 34-45.
    16. Tara M. Sinclair, 2012. "Characteristics and Implications of Chinese Macroeconomic Data Revisions," Working Papers 2012-09, The George Washington University, Institute for International Economic Policy.
    17. Steven A. Sharpe & Nitish R. Sinha & Christopher A. Hollrah, 2017. "What's the Story? A New Perspective on the Value of Economic Forecasts," Finance and Economics Discussion Series 2017-107, Board of Governors of the Federal Reserve System (U.S.).
    18. Tara M. Sinclair & H.O. Stekler, 2011. "Differences in Early GDP Component Estimates Between Recession and Expansion," Working Papers 2011-05, The George Washington University, Institute for International Economic Policy.
    19. Baghestani, Hamid & AbuAl-Foul, Bassam M., 2017. "Comparing Federal Reserve, Blue Chip, and time series forecasts of US output growth," Journal of Economics and Business, Elsevier, vol. 89(C), pages 47-56.
    20. Fildes, Robert, 2015. "Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 140-143.

  14. Tara Sinclair & H.O. Stekler & Elizabeth Reid & Edward N. Gamber, 2009. "Jointly Evaluating GDP and Inflation Forcasts in the Context of the Taylor Rule," Working Papers 2008-05, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Lahiri, Kajal & Sheng, Xuguang, 2010. "Learning and heterogeneity in GDP and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 26(2), pages 265-292, April.

  15. Tara M. Sinclair & Edward N. Gamber & H.O. Stekler & Elizabeth Reid, 2008. "Jointly Evaluating the Federal Reserve’s Forecasts of GDP Growth and Inflation," Working Papers 2008-002, The George Washington University, Department of Economics, Research Program on Forecasting, revised Mar 2011.

    Cited by:

    1. Carlos Barros & Luis Gil-Alana, 2012. "Inflation forecasting in Angola: a fractional approach," CEsA Working Papers 103, CEsA - Center for African, Asian and Latin American Studies.
    2. Bel, K. & Paap, R., 2013. "Modeling the impact of forecast-based regime switches on macroeconomic time series," Econometric Institute Research Papers EI 2013-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Tara Sinclair & Herman O. Stekler & Warren Carrow, 2012. "Evaluating a Vector of the Fed's Forecasts," Working Papers 2012-3, The George Washington University, Institute for International Economic Policy.
    4. Tara Sinclair & Herman O. Stekler & Warren Carnow, 2012. "A New Approach For Evaluating Economic Forecasts," Working Papers 2012-2, The George Washington University, Institute for International Economic Policy.
    5. Zisimos Koustas & Jean-Francois Lamarche, 2009. "Instrumental variable estimation of a nonlinear Taylor rule," Working Papers 0909, Brock University, Department of Economics, revised Jul 2010.
    6. Mihaela Simionescu, 2014. "Directional accuracy for inflation and unemployment rate predictions in Romania," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Eastern Macedonia and Thrace Institute of Technology (EMATTECH), Kavala, Greece, vol. 7(2), pages 129-138, September.
    7. Bel, Koen & Paap, Richard, 2016. "Modeling the impact of forecast-based regime switches on US inflation," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1306-1316.

  16. Leora Friedberg & Michael T. Owyang & Tara M. Sinclair, 2006. "Searching for better prospects: endogenizing falling job tenure and private pension coverage," Working Papers 2003-038, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Joshua Rauh & Irina Stefanescu & Stephen Zeldes, 2013. "Cost shifting and the freezing of corporate pension plans," Finance and Economics Discussion Series 2013-82, Board of Governors of the Federal Reserve System (U.S.).
    2. Leora Friedberg & Michael Owyang, 2004. "Explaining the Evolution of Pension Structure and Job Tenure," NBER Working Papers 10714, National Bureau of Economic Research, Inc.
    3. Ashok Thomas & Luca Spataro, 2013. "Pension funds and Market Efficiency: A review," Discussion Papers 2013/164, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    4. Vafeas, Nikos & Vlittis, Adamos, 2018. "Independent directors and defined benefit pension plan freezes," Journal of Corporate Finance, Elsevier, vol. 50(C), pages 505-518.

  17. William A. Barnett & Ke- Hong Choi & Tara M. Sinclair, 2001. "The Differential Approach to Superlative Index Number Theory," Econometrics 0111002, University Library of Munich, Germany, revised 28 Dec 2001.

    Cited by:

    1. Barnett, William A. & Choi, Ki-Hong, 2006. "Operational identification of the complete class of superlative index numbers: an application of Galois theory," MPRA Paper 416, University Library of Munich, Germany.

  18. Sinchan Mitra & Tara M. Sinclair, "undated". "Output Fluctuations in the G-7: An Unobserved Components Approach," MRG Discussion Paper Series 2509, School of Economics, University of Queensland, Australia.

    Cited by:

    1. Pierre Perron & Tatsuma Wada, 2015. "Measuring Business Cycles with Structural Breaks and Outliers: Applications to International Data," Boston University - Department of Economics - Working Papers Series wp2015-016, Boston University - Department of Economics.
    2. Tino Berger & Gerdie Everaert & Hauke Vierke, 2015. "Testing for time variation in an unobserved components model for the U.S. economy," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/903, Ghent University, Faculty of Economics and Business Administration.
    3. Alexander Yu. Apokin & Irina B. Ipatova, 2016. "Structural Breaks in Potential GDP Of Three Major Economies: Just Impaired Credit or the “New Normal”?," HSE Working papers WP BRP 142/EC/2016, National Research University Higher School of Economics.
    4. James Morley & Irina B Panovska, 2016. "Is Business Cycle Asymmetry Intrinsic in Industrialized Economies?," Discussion Papers 2016-12, School of Economics, The University of New South Wales.
    5. Dungey, Mardi & Jacobs, Jan P.A.M. & Tian, Jing, 2016. "Forecasting output gaps in the G-7 countries: The role of correlated Innovations and structural breaks," Working Papers 2016-04, University of Tasmania, Tasmanian School of Business and Economics.
    6. Michael Fritsch & Alina Sorgner & Michael Wyrwich & Evguenii Zazdravnykh, 2016. "Historical shocks and persistence of economic activity: evidence from a unique natural experiment," HSE Working papers WP BRP 143/EC/2016, National Research University Higher School of Economics.
    7. Manuel Gonzalez-Astudillo, 2017. "GDP Trend-cycle Decompositions Using State-level Data," Finance and Economics Discussion Series 2017-051, Board of Governors of the Federal Reserve System (U.S.).
    8. Stephan, Gaëtan & Lecumberry, Julien, 2015. "The German unemployment since the Hartz reforms: Permanent or transitory fall?," Economics Letters, Elsevier, vol. 136(C), pages 49-54.
    9. Gaëtan Stephan & Julien Lecumberry, 2015. "The German unemployment since the Hartz reforms: Permanent or transitory fall?," Post-Print halshs-01238494, HAL.
    10. MeiChi Huang & Tzu-Chien Wang, 2015. "Housing-bubble vulnerability and diversification opportunities during housing boom–bust cycles: evidence from decomposition of asset price returns," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 605-637, March.
    11. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.

Articles

  1. Guisinger, Amy Y. & Hernandez-Murillo, Ruben & Owyang, Michael T. & Sinclair, Tara M., 2018. "A state-level analysis of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 239-248.
    See citations under working paper version above.
  2. Messina, Jeffrey D. & Sinclair, Tara M. & Stekler, Herman, 2015. "What can we learn from revisions to the Greenbook forecasts?," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 54-62.
    See citations under working paper version above.
  3. Bradley, Michael D. & Jansen, Dennis W. & Sinclair, Tara M., 2015. "How Well Does “Core” Inflation Capture Permanent Price Changes?," Macroeconomic Dynamics, Cambridge University Press, vol. 19(04), pages 791-815, June.
    See citations under working paper version above.
  4. Sinclair, Tara M. & Stekler, H.O. & Carnow, Warren, 2015. "Evaluating a vector of the Fed’s forecasts," International Journal of Forecasting, Elsevier, vol. 31(1), pages 157-164.
    See citations under working paper version above.
  5. Sinclair, Tara M. & Stekler, H.O., 2013. "Examining the quality of early GDP component estimates," International Journal of Forecasting, Elsevier, vol. 29(4), pages 736-750.
    See citations under working paper version above.
  6. Tara M. Sinclair & H. O. Stekler & Warren Carnow, 2012. "A new approach for evaluating economic forecasts," Economics Bulletin, AccessEcon, vol. 32(3), pages 2332-2342.
    See citations under working paper version above.
  7. Sinclair, Tara M. & Gamber, Edward N. & Stekler, Herman & Reid, Elizabeth, 2012. "Jointly evaluating the Federal Reserve’s forecasts of GDP growth and inflation," International Journal of Forecasting, Elsevier, vol. 28(2), pages 309-314.
    See citations under working paper version above.
  8. Mitra, Sinchan & Sinclair, Tara M., 2012. "Output Fluctuations In The G-7: An Unobserved Components Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 16(03), pages 396-422, June.
    See citations under working paper version above.
  9. Sinclair, Tara M. & Joutz, Fred & Stekler, H.O., 2010. "Can the Fed predict the state of the economy?," Economics Letters, Elsevier, vol. 108(1), pages 28-32, July.
    See citations under working paper version above.
  10. Tara Sinclair & H. O. Stekler & L. Kitzinger, 2010. "Directional forecasts of GDP and inflation: a joint evaluation with an application to Federal Reserve predictions," Applied Economics, Taylor & Francis Journals, vol. 42(18), pages 2289-2297.

    Cited by:

    1. Tsuchiya, Yoichi, 2013. "Do corporate executives have accurate predictions for the economy? A directional analysis," Economic Modelling, Elsevier, vol. 30(C), pages 167-174.
    2. Sinclair, Tara M. & Gamber, Edward N. & Stekler, Herman & Reid, Elizabeth, 2012. "Jointly evaluating the Federal Reserve’s forecasts of GDP growth and inflation," International Journal of Forecasting, Elsevier, vol. 28(2), pages 309-314.
    3. Tsuchiya, Yoichi, 2013. "Are government and IMF forecasts useful? An application of a new market-timing test," Economics Letters, Elsevier, vol. 118(1), pages 118-120.
    4. Tara Sinclair & Herman O. Stekler & Warren Carrow, 2012. "Evaluating a Vector of the Fed's Forecasts," Working Papers 2012-3, The George Washington University, Institute for International Economic Policy.
    5. Baris Soybilgen & Ege Yazgan, 2017. "An evaluation of inflation expectations in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 17(1), pages 1-31–38.
    6. Gamber, Edward N. & Smith, Julie K. & McNamara, Dylan C., 2014. "Where is the Fed in the distribution of forecasters?," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 296-312.
    7. IIZUKA Nobuo, 2013. "Predicting Business Cycle Phases by Professional Forecasters- Are They Useful ?," ESRI Discussion paper series 305, Economic and Social Research Institute (ESRI).
    8. Tara Sinclair & Herman O. Stekler & Warren Carnow, 2012. "A New Approach For Evaluating Economic Forecasts," Working Papers 2012-2, The George Washington University, Institute for International Economic Policy.
    9. Baghestani, Hamid, 2015. "Predicting gasoline prices using Michigan survey data," Energy Economics, Elsevier, vol. 50(C), pages 27-32.
    10. Edward N. Gamber & Julie K. Smith, 2007. "Are the Fed’s Inflation Forecasts Still Superior to the Private Sector’s?," Working Papers 2007-002, The George Washington University, Department of Economics, Research Program on Forecasting, revised Jul 2008.
    11. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    12. Mihaela SIMIONESCU, 2015. "The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance," Management Dynamics in the Knowledge Economy Journal, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 133-149, March.
    13. Tsuchiya, Yoichi, 2016. "Directional analysis of fiscal sustainability: Revisiting Domar's debt sustainability condition," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 189-201.
    14. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "On the Directional Accuracy of Inflation Forecasts: Evidence from South African Survey Data," Working Papers 201463, University of Pretoria, Department of Economics.
    15. Y. Tsuchiya, 2014. "A directional evaluation of corporate executives' exchange rate forecasts," Applied Economics, Taylor & Francis Journals, vol. 46(1), pages 95-101, January.
    16. Yoichi Tsuchiya, 2012. "Is the Purchasing Managers' Index useful for assessing the economy's strength? A directional analysis," Economics Bulletin, AccessEcon, vol. 32(2), pages 1302-1311.
    17. Hamid Baghestani & Cassia Marchon, 2015. "On the accuracy of private forecasts of inflation and growth in Brazil," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(2), pages 370-381, April.
    18. Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "On the directional accuracy of forecasts of emerging market exchange rates," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 369-376.
    19. Hamid Baghestani, 2016. "Interest rate movements and US consumers’ inflation forecast errors: is there a link?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(3), pages 623-630, July.
    20. Baghestani, Hamid & Toledo, Hugo, 2017. "Do analysts' forecasts of term spread differential help predict directional change in exchange rates?," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 62-69.
    21. Tsuchiya, Yoichi, 2016. "Do production managers predict turning points? A directional analysis," Economic Modelling, Elsevier, vol. 58(C), pages 1-8.
    22. Jörg Döpke & Ulrich Fritsche & Karsten Müller, 2018. "Has Macroeconomic Forecasting changed after the Great Recession? - Panel-based Evidence on Accuracy and Forecaster Behaviour from Germany," Macroeconomics and Finance Series 201803, University of Hamburg, Department of Socioeconomics.
    23. Hamid Baghestani & Ilker Kaya & Samer Kherfi, 2013. "Do changes in consumers' home buying attitudes predict directional change in home sales?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(5), pages 411-415, March.
    24. Y. Tsuchiya, 2014. "Are consumer sentiments useful in Japan? An application of a new market-timing test," Applied Economics Letters, Taylor & Francis Journals, vol. 21(5), pages 356-359, March.
    25. Baghestani, Hamid & Khallaf, Ashraf, 2012. "Predictions of growth in U.S. corporate profits: Asymmetric vs. symmetric loss," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 222-229.
    26. Hamid Baghestani, 2014. "On the loss structure of federal reserve forecasts of output growth," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(3), pages 518-527, July.
    27. Hamid Baghestani & Liliana Danila, 2014. "Interest Rate and Exchange Rate Forecasting in the Czech Republic: Do Analysts Know Better than a Random Walk?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(4), pages 282-295, September.
    28. Anusha, "undated". "Evaluating reliability of some symmetric and asymmetric univariate filters," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2015-030, Indira Gandhi Institute of Development Research, Mumbai, India.
    29. Tsuchiya, Yoichi, 2014. "Purchasing and supply managers provide early clues on the direction of the US economy: An application of a new market-timing test," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 599-618.
    30. Baghestani, Hamid & AbuAl-Foul, Bassam M., 2017. "Comparing Federal Reserve, Blue Chip, and time series forecasts of US output growth," Journal of Economics and Business, Elsevier, vol. 89(C), pages 47-56.
    31. Hamid Baghestani & David McMillan, 2017. "Do US consumer survey data help beat the random walk in forecasting mortgage rates?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1343017-134, January.

  11. Sinclair Tara M, 2009. "Asymmetry in the Business Cycle: Friedman's Plucking Model with Correlated Innovations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-31, December.

    Cited by:

    1. James Morley, 2014. "Measuring economic slack in Asia and the Pacific," BIS Papers chapters,in: Bank for International Settlements (ed.), Globalisation, inflation and monetary policy in Asia and the Pacific, volume 77, pages 35-50 Bank for International Settlements.
    2. Angelia L. Grant & Joshua C.C. Chan, 2017. "A Bayesian Model Comparison for Trend‐Cycle Decompositions of Output," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(2-3), pages 525-552, March.
    3. Guérin, Pierre & Maurin, Laurent & Mohr, Matthias, 2015. "Trend-Cycle Decomposition Of Output And Euro Area Inflation Forecasts: A Real-Time Approach Based On Model Combination," Macroeconomic Dynamics, Cambridge University Press, vol. 19(02), pages 363-393, March.
    4. Klinger, Sabine & Weber, Enzo, 2012. "Decomposing Beveridge curve dynamics by correlated unobserved components," IAB Discussion Paper 201228, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Philippe Moës, 2012. "Multivariate models with dual cycles: implications for output gap and potential growth measurement," Empirical Economics, Springer, vol. 42(3), pages 791-818, June.
    6. Juan Urquiza, 2011. "Income Asymmetries and the Permanent Income Hypothesis," Documentos de Trabajo 409, Instituto de Economia. Pontificia Universidad Católica de Chile..
    7. Bernard Fingleton & Harry Garretsen & Ron Martin, 2012. "Recessionary Shocks And Regional Employment: Evidence On The Resilience Of U.K. Regions," Journal of Regional Science, Wiley Blackwell, vol. 52(1), pages 109-133, February.
    8. Klinger, Sabine & Weber, Enzo, 2015. "GDP-Employment Decoupling and the Productivity Puzzle in Germany," University of Regensburg Working Papers in Business, Economics and Management Information Systems 485, University of Regensburg, Department of Economics.
    9. James Morley, 2014. "Measuring Economic Slack: A Forecast-Based Approach with Applications to Economies in Asia and the Pacific," BIS Working Papers 451, Bank for International Settlements.

  12. Tara M. Sinclair, 2009. "The Relationships between Permanent and Transitory Movements in U.S. Output and the Unemployment Rate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 529-542, March.

    Cited by:

    1. Güneş Kamber & James Morley & Benjamin Wong, 2017. "Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter," Reserve Bank of New Zealand Discussion Paper Series DP2017/01, Reserve Bank of New Zealand.
    2. Andrew Evans, 2018. "Okun coefficients and participation coefficients by age and gender," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-22, December.
    3. Guisinger, Amy Y. & Hernandez-Murillo, Ruben & Owyang, Michael T. & Sinclair, Tara M., 2015. "A State-Level Analysis of Okun's Law," Working Papers 2015-29, Federal Reserve Bank of St. Louis, revised 17 Oct 2017.
    4. Roberto G. Quercia & Anthony Pennington-Cross & Chao Yue Tian, 2016. "Differential Impacts of Structural and Cyclical Unemployment on Mortgage Default and Prepayment," The Journal of Real Estate Finance and Economics, Springer, vol. 53(3), pages 346-367, October.
    5. Morley, James & Singh, Aarti, 2009. "Inventory Mistakes and the Great Moderation," Working Papers 2009-04, University of Sydney, School of Economics, revised Feb 2015.
    6. Trenkler, Carsten & Weber, Enzo, 2015. "On the identification of multivariate correlated unobserved components models," Working Papers 15-12, University of Mannheim, Department of Economics.
    7. Angelia L. Grant & Joshua C.C. Chan, 2017. "A Bayesian Model Comparison for Trend‐Cycle Decompositions of Output," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(2-3), pages 525-552, March.
    8. Soloschenko, Max & Weber, Enzo, 2014. "Capturing the Interaction of Trend, Cycle, Expectations and Risk Premia in the US Term Structure," University of Regensburg Working Papers in Business, Economics and Management Information Systems 475, University of Regensburg, Department of Economics.
    9. Tara Sinclair & Yeuqing Jia, 2010. "Permanent and Transitory Macroeconomic Relationships between China and the Developed World," Working Papers 2010-08, The George Washington University, Institute for International Economic Policy.
    10. Tino Berger & Gerdie Everaert & Hauke Vierke, 2015. "Testing for time variation in an unobserved components model for the U.S. economy," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/903, Ghent University, Faculty of Economics and Business Administration.
    11. Carmona, Mónica & Congregado, Emilio & Feria, Julia & Iglesias, Jesús, 2017. "The energy-growth nexus reconsidered: Persistence and causality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 342-347.
    12. Roger, Perman & Jean-Philippe, Boussemart & Walter, Briec & Christophe, Tavéra, 2013. "How do technical change and technological distance influence the size of the Okun’s Law coefficient?," SIRE Discussion Papers 2013-60, Scottish Institute for Research in Economics (SIRE).
    13. Klinger, Sabine & Weber, Enzo, 2014. "Decomposing Beveridge curve dynamics by correlated unobserved components: The impact of labour market reforms in Germany," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100499, Verein für Socialpolitik / German Economic Association.
    14. Blonigen, Bruce A. & Piger, Jeremy & Sly, Nicholas, 2014. "Comovement in GDP trends and cycles among trading partners," Journal of International Economics, Elsevier, vol. 94(2), pages 239-247.
    15. Kishor, N. Kundan, 2017. "Understanding the Relationship between Public and Private Commercial Real Estate Markets," MPRA Paper 83475, University Library of Munich, Germany.
    16. Michael D. Bradley & Dennis W. Jansen & Tara M. Sinclair, 2013. "How Well Does "Core" Inflation Capture Permanent Price Changes?," Working Papers 2013-4, The George Washington University, Institute for International Economic Policy.
    17. Mihnea Constantinescu & Anh Dinh Minh Nguyen, 2017. "Unemployment or Credit: Who Holds The Potential? Results From a Small-Open Economy," Bank of Lithuania Discussion Paper Series 4, Bank of Lithuania.
    18. Congregado, Emilio & Golpe, Antonio A. & Parker, Simon C., 2009. "The Dynamics of Entrepreneurship: Hysteresis, Business Cycles and Government Policy," IZA Discussion Papers 4093, Institute for the Study of Labor (IZA).
    19. James Morley & Aarti Singh, 2016. "Inventory Shocks and the Great Moderation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(4), pages 699-728, June.
    20. Ruiz, Esther & Rodríguez, Alejandro, 2010. "Bootstrap prediction mean squared errors of unobserved states based on the Kalman filter with estimated parameters," DES - Working Papers. Statistics and Econometrics. WS ws100301, Universidad Carlos III de Madrid. Departamento de Estadística.
    21. Michael J. Dueker & Michael T. Owyang & Martin Sola, 2010. "A time-varying threshold STAR model of unemployment and the natural rate," Working Papers 2010-029, Federal Reserve Bank of St. Louis.
    22. Klinger, Sabine & Weber, Enzo, 2012. "Decomposing Beveridge curve dynamics by correlated unobserved components," IAB Discussion Paper 201228, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    23. Philippe Moës, 2012. "Multivariate models with dual cycles: implications for output gap and potential growth measurement," Empirical Economics, Springer, vol. 42(3), pages 791-818, June.
    24. Manuel Gonzalez-Astudillo, 2018. "An Output Gap Measure for the Euro Area : Exploiting Country-Level and Cross-Sectional Data Heterogeneity," Finance and Economics Discussion Series 2018-040, Board of Governors of the Federal Reserve System (U.S.).
    25. T. Berger, 2008. "Estimating Europe’s Natural Rates from a forward-looking Phillips curve," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/498, Ghent University, Faculty of Economics and Business Administration.
    26. Tara Sinclair & Sinchan Mitra, 2008. "Output Fluctuations in the G-7: An Unobserved Components Approach," Working Papers 2008-04, The George Washington University, Institute for International Economic Policy.
    27. Stephan, Gaëtan & Lecumberry, Julien, 2015. "The German unemployment since the Hartz reforms: Permanent or transitory fall?," Economics Letters, Elsevier, vol. 136(C), pages 49-54.
    28. Gaëtan Stephan & Julien Lecumberry, 2015. "The German unemployment since the Hartz reforms: Permanent or transitory fall?," Post-Print halshs-01238494, HAL.
    29. Klinger, Sabine & Weber, Enzo, 2014. "On GDP-employment decoupling in Germany," IAB Discussion Paper 201421, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    30. Huang, Anni & Kishor, N. Kundan, 2017. "The Rise of Dollar Credit in Emerging Market Economies and US Monetary Policy," MPRA Paper 83474, University Library of Munich, Germany.
    31. Klinger, Sabine & Weber, Enzo, 2015. "GDP-Employment Decoupling and the Productivity Puzzle in Germany," University of Regensburg Working Papers in Business, Economics and Management Information Systems 485, University of Regensburg, Department of Economics.
    32. Mardi Dungey & Jan P. A. M. Jacobs & Jing Tian & Simon van Norden, 2013. "Trend-cycle decomposition: implications from an exact structural identification," Working Papers 13-22, Federal Reserve Bank of Philadelphia.
    33. MeiChi Huang & Tzu-Chien Wang, 2015. "Housing-bubble vulnerability and diversification opportunities during housing boom–bust cycles: evidence from decomposition of asset price returns," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 605-637, March.
    34. Islas C., Alejandro & Cortez, Willy Walter, 2013. "An assessment of the dynamics between the permanent and transitory components of Mexico's output and unemployment," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    35. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.

  13. Friedberg Leora & Owyang Michael T & Sinclair Tara M, 2006. "Searching For Better Prospects: Endogenizing Falling Job Tenure and Private Pension Coverage," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(1), pages 1-42, August.
    See citations under working paper version above.
  14. Barnett, William A. & Choi, Ki-Hong & Sinclair, Tara M., 2003. "The Differential Approach to Superlative Index Number Theory," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 0(Supplemen), pages 1-6.
    See citations under working paper version above.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 31 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-FOR: Forecasting (12) 2009-06-03 2009-06-03 2009-07-11 2011-09-16 2011-10-09 2012-02-08 2012-03-28 2014-08-09 2014-10-03 2015-05-09 2016-03-06 2016-05-28. Author is listed
  2. NEP-MON: Monetary Economics (11) 2009-06-03 2009-07-11 2010-10-02 2013-05-24 2013-06-16 2014-10-03 2015-06-05 2015-11-15 2016-08-07 2016-08-14 2016-10-16. Author is listed
  3. NEP-MAC: Macroeconomics (10) 2011-05-14 2014-08-09 2014-10-03 2015-05-09 2015-06-05 2015-11-15 2016-03-06 2016-08-07 2016-08-14 2016-10-16. Author is listed
  4. NEP-CBA: Central Banking (8) 2009-06-03 2009-07-11 2010-10-02 2011-09-16 2011-10-09 2012-02-08 2016-08-07 2016-10-16. Author is listed
  5. NEP-ECM: Econometrics (5) 2005-11-19 2009-06-03 2009-06-03 2012-02-08 2016-05-28. Author is listed
  6. NEP-ETS: Econometric Time Series (3) 2005-11-19 2012-02-08 2012-03-28
  7. NEP-LAB: Labour Economics (3) 2015-10-10 2015-10-25 2015-11-01
  8. NEP-CSE: Economics of Strategic Management (1) 2016-08-07
  9. NEP-EUR: Microeconomic European Issues (1) 2016-06-04
  10. NEP-MIG: Economics of Human Migration (1) 2016-06-04
  11. NEP-TRA: Transition Economics (1) 2013-01-19

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