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Antony Davies

Personal Details

First Name:Antony
Middle Name:
Last Name:Davies
Suffix:
RePEc Short-ID:pan49
http://www.antolin-davies.com
Donahue Graduate School of Business Duquesne University Pittsburgh, PA 15282
412-396-6268
Terminal Degree:1994 Department of Economics; State University of New York-Albany (SUNY) (from RePEc Genealogy)

Affiliation

(50%) School of Business
Duquesne University

Pittsburgh, Pennsylvania (United States)
http://www.bus.duq.edu/

:

600 Forbes Avenue, Pittsburgh PA 15282
RePEc:edi:sbduqus (more details at EDIRC)

(45%) Mercatus Center
George Mason University

Arlington, Virginia (United States)
http://www.mercatus.org/

: (703) 993-4930
(703) 993-4935
3434 Washington Blvd., 4th Floor, Arlington, VA 22201
RePEc:edi:mcgmuus (more details at EDIRC)

(5%) 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)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kajal Lahiri & Antony Davies & Xuguang Sheng, 2010. "Analyzing Three-Dimensional Panel Data of Forecasts," Discussion Papers 10-07, University at Albany, SUNY, Department of Economics.
  2. Rosen Valchev & Antony Davies, 2009. "Transparency, Performance, and Agency Budgets: A Rational Expectations Modeling Approach," Working Papers 2009-004, The George Washington University, Department of Economics, Research Program on Forecasting.
  3. Antony Davies, 2008. "An Exploration of Regression-Based Data Mining Techniques Using Super Computation," Working Papers 2008-008, The George Washington University, Department of Economics, Research Program on Forecasting.

Articles

  1. Pavel A. Yakovlev & Antony Davies, 2014. "How does the estate tax affect the number of firms?," Journal of Entrepreneurship and Public Policy, Emerald Group Publishing, vol. 3(1), pages 96-117, April.
  2. Davies, Antony, 2009. "Human development and the optimal size of government," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(2), pages 326-330, March.
  3. de Rugy, Veronique & Davies, Antony, 2009. "Midnight regulations and the Cinderella effect," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(6), pages 886-890, December.
  4. Davies, Antony, 2006. "A framework for decomposing shocks and measuring volatilities derived from multi-dimensional panel data of survey forecasts," International Journal of Forecasting, Elsevier, vol. 22(2), pages 373-393.
  5. Davies, Antony & Quinlivan, Gary, 2006. "A panel data analysis of the impact of trade on human development," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(5), pages 868-876, October.
  6. Davies, Antony & Cline, Thomas W., 2005. "A consumer behavior approach to modeling monopolistic competition," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 797-826, December.
  7. Antony Davies, 2004. "Computational intermediation and the evolution of computation as a commodity," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1131-1142.
  8. Davies, Anthony & Lahiri, Kajal, 1995. "A new framework for analyzing survey forecasts using three-dimensional panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 205-227, July.

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.

Working papers

  1. Kajal Lahiri & Antony Davies & Xuguang Sheng, 2010. "Analyzing Three-Dimensional Panel Data of Forecasts," Discussion Papers 10-07, University at Albany, SUNY, Department of Economics.

    Cited by:

    1. Pesaran, M. Hashem & Weale, Martin, 2006. "Survey Expectations," Handbook of Economic Forecasting, Elsevier.
    2. Capistrán, Carlos & López-Moctezuma, Gabriel, 2014. "Forecast revisions of Mexican inflation and GDP growth," International Journal of Forecasting, Elsevier, vol. 30(2), pages 177-191.
    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. Goodwin, Thomas & Tian, Jing, 2017. "A state space approach to evaluate multi-horizon forecasts," Working Papers 2017-15, University of Tasmania, Tasmanian School of Business and Economics.
    5. Graham Elliott & Allan Timmermann, 2008. "Economic Forecasting," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 3-56, March.
    6. Hartmann, Matthias & Dovern, Jonas, 2016. "Forecast Performance, Disagreement, and Heterogeneous Signal-to-Noise Ratios," Annual Conference 2016 (Augsburg): Demographic Change 145925, Verein für Socialpolitik / German Economic Association.
    7. Carlos Capistrán & Allan Timmermann, 2006. "Forecast Combination with Entry and Exit of Experts," Working Papers 2006-08, Banco de México.
    8. Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
    9. Michael P Clements, 2014. "Assessing the Evidence of Macro- Forecaster Herding: Forecasts of Inflation and Output Growth," ICMA Centre Discussion Papers in Finance icma-dp2014-12, Henley Business School, Reading University.
    10. Alexander HARIN, 2014. "Partially Unforeseen Events. Corrections and Correcting Formulae for Forecasts," Expert Journal of Economics, Sprint Investify, vol. 2(2), pages 69-79.

Articles

  1. Davies, Antony, 2009. "Human development and the optimal size of government," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(2), pages 326-330, March.

    Cited by:

    1. Mehdi Hajamini & Mohammad Ali Falahi, 2014. "The nonlinear impact of government consumption expenditure on economic growth: Evidence from low and low-middle income countries," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-15, December.
    2. P. Zhou & B. Ang & D. Zhou, 2010. "Weighting and Aggregation in Composite Indicator Construction: a Multiplicative Optimization Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(1), pages 169-181, March.
    3. Bekzod ABDULLAEV & Laszlo KONYA, 2014. "Growth Maximizing Tax Rate for Uzbekistan," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 14(1), pages 59-72.
    4. Vítor Castro & Rodrigo Martins, 2016. "The Electoral Dynamics of Human Development," NIPE Working Papers 6/2016, NIPE - Universidade do Minho.
    5. Hajamini, Mehdi & Falahi, Mohammad Ali, 2012. "Economic growth and the optimum size of government in 15 European countries: A threshold panel approach," MPRA Paper 39616, University Library of Munich, Germany.
    6. Halkos, George & Paizanos, Epameinondas, 2015. "Fiscal policy and economic performance: A review of the theoretical and empirical literature," MPRA Paper 67737, University Library of Munich, Germany.
    7. Hamidreza Hajibabaei & Alimohammad Ahmadi, 2014. "Government Size and Human Development: Quadratic Regression Approach," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(4), pages 160-166, April.
    8. Michael, Bryane, 2015. "What Does Brunei Teach Us About Using Human Development Index Rankings as a Policy Tool?," EconStor Preprints 107401, ZBW - German National Library of Economics.
    9. Ebru Çaðlayan-Akay & Muhammed H. Van, 2017. "Determinants of the Levels of Development Based on the Human Development Index:Bayesian Ordered Probit Model," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 425-431.
    10. Susana Martins & Francisco José Veiga, 2013. "Government size, composition of public expenditure, and economic development," NIPE Working Papers 17/2013, NIPE - Universidade do Minho.
    11. Adu Frank & Ohene-Manu Joseph & Ishmael Ackah, 2014. "Government Expenditures and Economic Growth dynamics in Ghana," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 2(5), pages 180-190, May.
    12. Alina Cristina Nuta & Florian Marcel Nuta & Viorica Chirila & Angela Roman & Andy Corneliu Pusca, 2015. "Testing the Relationship between Public Expenditure and Economic Growth in Romania," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 11(4), pages 86-102, August.
    13. François Facchini & Mickaël Melki, 2011. "Optimal Government Size and Economic Growth in France (1871-2008): An explanation by the State and Market Failures," Documents de travail du Centre d'Economie de la Sorbonne 11077, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    14. Magazzino, Cosimo & Forte, Francesco, 2010. "Optimal size of government and economic growth in EU-27," MPRA Paper 26669, University Library of Munich, Germany.

  2. de Rugy, Veronique & Davies, Antony, 2009. "Midnight regulations and the Cinderella effect," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(6), pages 886-890, December.

    Cited by:

    1. Dima Yazji Shamoun & Bruce Yandle, 2016. "Asserting presidential preferences in a regulatory review bureaucracy," Public Choice, Springer, vol. 166(1), pages 87-111, January.

  3. Davies, Antony, 2006. "A framework for decomposing shocks and measuring volatilities derived from multi-dimensional panel data of survey forecasts," International Journal of Forecasting, Elsevier, vol. 22(2), pages 373-393.

    Cited by:

    1. Michael K Andersson & Ted Aranki & André Reslow, 2017. "Adjusting for information content when comparing forecast performance," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 784-794, November.
    2. Rosen Valchev & Antony Davies, 2009. "Transparency, Performance, and Agency Budgets: A Rational Expectations Modeling Approach," Working Papers 2009-004, The George Washington University, Department of Economics, Research Program on Forecasting.
    3. Ager, P. & Kappler, M. & Osterloh, S., 2009. "The accuracy and efficiency of the Consensus Forecasts: A further application and extension of the pooled approach," International Journal of Forecasting, Elsevier, vol. 25(1), pages 167-181.
    4. Croushore Dean, 2010. "An Evaluation of Inflation Forecasts from Surveys Using Real-Time Data," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-32, May.
    5. Wagner Piazza Gaglianone & João Victor Issler, 2014. "Microfounded Forecasting," Working Papers Series 372, Central Bank of Brazil, Research Department.
    6. Bedri Kamil Onur Taş, 2016. "Does the Federal Reserve have Private Information about its Future Actions?," Economica, London School of Economics and Political Science, vol. 83(331), pages 498-517, July.
    7. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2008. "Evaluating a three-dimensional panel of point forecasts: The Bank of England Survey of External Forecasters," International Journal of Forecasting, Elsevier, vol. 24(3), pages 354-367.
    8. Antony Davies, 2008. "An Exploration of Regression-Based Data Mining Techniques Using Super Computation," Working Papers 2008-008, The George Washington University, Department of Economics, Research Program on Forecasting.

  4. Davies, Antony & Quinlivan, Gary, 2006. "A panel data analysis of the impact of trade on human development," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(5), pages 868-876, October.

    Cited by:

    1. Morris Altman, 2008. "How much economic freedom is necessary for economic growth? Theory and evidence," Economics Bulletin, AccessEcon, vol. 15(2), pages 1-20.
    2. Vishalkumar Jani & Dholakia, Ravindra H., 2015. "Economic Globalization: Boon or Bane for African Health?," IIMA Working Papers WP2015-07-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    3. Hamid, Zarinah & Amin, Ruzita Mohd, 2013. "Trade and Human Development in OIC Countries: A Panel Data Analysis," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 21, pages 55-70.
    4. Matthew Sanderson, 2010. "International Migration and Human Development in Destination Countries: A Cross-National Analysis of Less-Developed Countries, 1970–2005," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(1), pages 59-83, March.
    5. Hamidreza Hajibabaei & Alimohammad Ahmadi, 2014. "Government Size and Human Development: Quadratic Regression Approach," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(4), pages 160-166, April.
    6. Özcan, Burcu & Bjørnskov, Christian, 2011. "Social trust and human development," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(6), pages 753-762.
    7. Ertan Oktay & Giray Gozgor, 2011. "Trade and Regional Development in A Developing Country: The Case of Turkey," ERSA conference papers ersa11p890, European Regional Science Association.
    8. Michael, Bryane, 2015. "What Does Brunei Teach Us About Using Human Development Index Rankings as a Policy Tool?," EconStor Preprints 107401, ZBW - German National Library of Economics.
    9. Davies, Antony, 2009. "Human development and the optimal size of government," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(2), pages 326-330, March.
    10. Jadvyga Ciburiene, 2016. "The Evaluation Of Economic Development Index Of Poland And Lithuania In The Context Of The European Union," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(3), pages 437-449, September.
    11. Ebru Çaðlayan-Akay & Muhammed H. Van, 2017. "Determinants of the Levels of Development Based on the Human Development Index:Bayesian Ordered Probit Model," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 425-431.
    12. Martinez, Pablo, 2015. "The impact of foreign aid on economic growth," MPRA Paper 66588, University Library of Munich, Germany.
    13. Chhorn, Theara & Chhorn, Dina, 2017. "Modelling Linkage of Globalization and Financial Development to Human Development in CLMV Region," MPRA Paper 84878, University Library of Munich, Germany, revised 01 Nov 2017.

  5. Davies, Antony & Cline, Thomas W., 2005. "A consumer behavior approach to modeling monopolistic competition," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 797-826, December.

    Cited by:

    1. Rosen Valchev & Antony Davies, 2009. "Transparency, Performance, and Agency Budgets: A Rational Expectations Modeling Approach," Working Papers 2009-004, The George Washington University, Department of Economics, Research Program on Forecasting.

  6. Davies, Anthony & Lahiri, Kajal, 1995. "A new framework for analyzing survey forecasts using three-dimensional panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 205-227, July.

    Cited by:

    1. Emna Trabelsi, 2016. "Central Bank Transparency and the consensus forecast: What does The Economist poll of forecasters tell us?," Post-Print hal-01121434, HAL.
    2. Giampiero M. Gallo & Clive W.J. Granger & Yongil Jeon, 2002. "Copycats and Common Swings: The Impact of the Use of Forecasts in Information Sets," IMF Staff Papers, Palgrave Macmillan, vol. 49(1), pages 1-2.
    3. Jonas Dovern & Johannes Weisser, 2009. "Accuracy, Unbiasedness and Efficiency of Professional Macroeconomic Forecasts: An empirical Comparison for the G7," Jena Economic Research Papers 2009-091, Friedrich-Schiller-University Jena.
    4. Kenny, Geoff & Kostka, Thomas & Masera, Federico, 2013. "Can macroeconomists forecast risk? Event-based evidence from the euro area SPF," Working Paper Series 1540, European Central Bank.
    5. Michael K Andersson & Ted Aranki & André Reslow, 2017. "Adjusting for information content when comparing forecast performance," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 784-794, November.
    6. Capistrán, Carlos & López-Moctezuma, Gabriel, 2014. "Forecast revisions of Mexican inflation and GDP growth," International Journal of Forecasting, Elsevier, vol. 30(2), pages 177-191.
    7. Goodwin, Thomas & Tian, Jing, 2017. "A state space approach to evaluate multi-horizon forecasts," Working Papers 2017-15, University of Tasmania, Tasmanian School of Business and Economics.
    8. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    9. Sun, Yuying & Wang, Shouyang & Zhang, Xun, 2018. "How efficient are China's macroeconomic forecasts? Evidences from a new forecasting evaluation approach," Economic Modelling, Elsevier, vol. 68(C), pages 506-513.
    10. Fred Joutz & Michael P. Clements & Herman O. Stekler, 2007. "An evaluation of the forecasts of the federal reserve: a pooled approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 121-136.
    11. Andrew J. Patton & Allan Timmermann, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-17, June.
    12. Rosen Valchev & Antony Davies, 2009. "Transparency, Performance, and Agency Budgets: A Rational Expectations Modeling Approach," Working Papers 2009-004, The George Washington University, Department of Economics, Research Program on Forecasting.
    13. 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.
    14. Graham Elliott & Allan Timmermann, 2008. "Economic Forecasting," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 3-56, March.
    15. Hartmann, Matthias & Dovern, Jonas, 2016. "Forecast Performance, Disagreement, and Heterogeneous Signal-to-Noise Ratios," Annual Conference 2016 (Augsburg): Demographic Change 145925, Verein für Socialpolitik / German Economic Association.
    16. Christopher W. Crowe, 2010. "Consensus Forecasts and Inefficient Information Aggregation," IMF Working Papers 10/178, International Monetary Fund.
    17. Isiklar, Gultekin, 2005. "On aggregation bias in fixed-event forecast efficiency tests," Economics Letters, Elsevier, vol. 89(3), pages 312-316, December.
    18. Maiko Koga & Haruko Kato, 2017. "Behavioral Biases in Firms' Growth Expectations," Bank of Japan Working Paper Series 17-E-9, Bank of Japan.
    19. Paul Hubert, 2015. "Revisiting the greenbook's relative forecasting performance," Post-Print hal-01087522, HAL.
    20. Lahiri, Kajal & Liu, Fushang, 2005. "ARCH models for multi-period forecast uncertainty-a reality check using a panel of density forecasts," MPRA Paper 21693, University Library of Munich, Germany.
    21. Masahiro Ashiya, 2009. "Strategic bias and professional affiliations of macroeconomic forecasters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(2), pages 120-130.
    22. Carlos Capistrán & Allan Timmermann, 2006. "Forecast Combination with Entry and Exit of Experts," Working Papers 2006-08, Banco de México.
    23. Ann Owen & Stephen Wu, 2007. "Financial shocks and worry about the future," Empirical Economics, Springer, vol. 33(3), pages 515-530, November.
    24. Kajal Lahiri & Gultekin Isiklar, 2010. "Estimating International Transmission of Shocks Using GDP Forecasts: India and Its Trading Partners," Discussion Papers 10-06, University at Albany, SUNY, Department of Economics.
    25. Meryem Duygun & Jiaqi Hao & Anders Isaksson & Robin C. Sickles, 2017. "World Productivity Growth: A Model Averaging Approach," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 587-619, October.
    26. Ager, P. & Kappler, M. & Osterloh, S., 2009. "The accuracy and efficiency of the Consensus Forecasts: A further application and extension of the pooled approach," International Journal of Forecasting, Elsevier, vol. 25(1), pages 167-181.
    27. Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
    28. Giulietti, Monica & Otero, Jesús & Smith, Jeremy, 2006. "Testing for unit roots in three-dimensional heterogeneous panels in the presence of cross-sectional dependence," The Warwick Economics Research Paper Series (TWERPS) 771, University of Warwick, Department of Economics.
    29. Pedersen, Michael, 2015. "What affects the predictions of private forecasters? The role of central bank forecasts in Chile," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1043-1055.
    30. James Yetman, 2018. "The perils of approximating fixed-horizon inflation forecasts with fixed-event forecasts," BIS Working Papers 700, Bank for International Settlements.
    31. Ambrocio, Gene, 2017. "The real effects of overconfidence and fundamental uncertainty shocks," Research Discussion Papers 37/2017, Bank of Finland.
    32. Glas, Alexander & Hartmann, Matthias, 2016. "Inflation uncertainty, disagreement and monetary policy: Evidence from the ECB Survey of Professional Forecasters," Working Papers 0612, University of Heidelberg, Department of Economics.
    33. Michael Clements, 2016. "Are Macro-Forecasters Essentially The Same? An Analysis of Disagreement, Accuracy and Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2016-08, Henley Business School, Reading University.
    34. Wagner Piazza Gaglianone & João Victor Issler & Silvia Maria Matos, 2017. "Applying a microfounded-forecasting approach to predict Brazilian inflation," Empirical Economics, Springer, vol. 53(1), pages 137-163, August.
    35. Loungani, Prakash, 2001. "How accurate are private sector forecasts? Cross-country evidence from consensus forecasts of output growth," International Journal of Forecasting, Elsevier, vol. 17(3), pages 419-432.
    36. Geoff Kenny & Thomas Kostka & Federico Masera, 2015. "Density characteristics and density forecast performance: a panel analysis," Empirical Economics, Springer, vol. 48(3), pages 1203-1231, May.
    37. Dovern, Jonas & Fritsche, Ulrich & Loungani, Prakash & Tamirisa, Natalia, 2015. "Information rigidities: Comparing average and individual forecasts for a large international panel," International Journal of Forecasting, Elsevier, vol. 31(1), pages 144-154.
    38. Kajal Lahiri & Xuguang Sheng, 2010. "Measuring forecast uncertainty by disagreement: The missing link," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 514-538.
    39. Sheng, Xuguang (Simon), 2015. "Evaluating the economic forecasts of FOMC members," International Journal of Forecasting, Elsevier, vol. 31(1), pages 165-175.
    40. Paolo Bianchi & Bruno Deschamps & Khurshid M. Kiani, 2015. "Fiscal Balance and Current Account in Professional Forecasts," Review of International Economics, Wiley Blackwell, vol. 23(2), pages 361-378, May.
    41. Carl Bonham & Richard Cohen & Shigeyuki Abe, 2006. "The Rationality and Heterogeneity of Survey Forecasts of the Yen-Dollar Exchange Rate: A Reexamination," Working Papers 200611, University of Hawaii at Manoa, Department of Economics.
    42. Paul Hubert, 2010. "Monetary Policy, Imperfect Information and the Expectations Channel," Sciences Po publications info:hdl:2441/f4rshpf3v1u, Sciences Po.
    43. Wagner Piazza Gaglianone & João Victor Issler, 2014. "Microfounded Forecasting," Working Papers Series 372, Central Bank of Brazil, Research Department.
    44. Thomas Jobert & Lionel Persyn, 2011. "Quelques constats sur les prévisions conjoncturelles de la croissance française," Working Papers halshs-00721673, HAL.
    45. Raffaele Tartaglia-Polcini, 2011. "Inflation forecasts from the Bank of Italy-Sole 24 Ore survey of expectations of inflation and growth," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 278-292 Bank for International Settlements.
    46. Carl S Bonham & Richard H Cohen, 2000. "To Aggregate, Pool, or Neither: Testing the Rational Expectations Hypothesis Using Survey Data," Working Papers 200003, University of Hawaii at Manoa, Department of Economics.
    47. Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2013. "Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons," FGV/EPGE Economics Working Papers (Ensaios Economicos da EPGE) 735, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
    48. Patton, Andrew J & Timmermann, Allan G, 2007. "Learning in Real Time: Theory and Empirical Evidence from the Term Structure of Survey Forecasts," CEPR Discussion Papers 6526, C.E.P.R. Discussion Papers.
    49. Davies, Antony & Quinlivan, Gary, 2006. "A panel data analysis of the impact of trade on human development," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(5), pages 868-876, October.
    50. Andrew J. Patton & Allan Timmermann, 2008. "The Resolution of Macroeconomic Uncertainty: Evidence from Survey Forecast," CREATES Research Papers 2008-54, Department of Economics and Business Economics, Aarhus University.
    51. Dovern, Jonas & Weisser, Johannes, 2008. "Are they really rational? Assessing professional macro-economic forecasts from the G7-countries," Kiel Working Papers 1447, Kiel Institute for the World Economy (IfW).
    52. Knüppel, Malte, 2009. "Efficient estimation of forecast uncertainty based on recent forecast errors," Discussion Paper Series 1: Economic Studies 2009,28, Deutsche Bundesbank.
    53. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2014. "Panel data and productivity measurement: an analysis of Asian productivity trends," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(3), pages 211-231, August.
    54. Davies, Antony, 2006. "A framework for decomposing shocks and measuring volatilities derived from multi-dimensional panel data of survey forecasts," International Journal of Forecasting, Elsevier, vol. 22(2), pages 373-393.
    55. Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2008. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV/EPGE Economics Working Papers (Ensaios Economicos da EPGE) 668, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
    56. 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.
    57. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    58. Isiklar, Gultekin & Lahiri, Kajal & Loungani, Prakash, 2006. "How quickly do forecasters incorporate news? Evidence from cross-country surveys," MPRA Paper 22065, University Library of Munich, Germany.
    59. Michael P Clements, 2014. "Assessing the Evidence of Macro- Forecaster Herding: Forecasts of Inflation and Output Growth," ICMA Centre Discussion Papers in Finance icma-dp2014-12, Henley Business School, Reading University.
    60. Loungani, Prakash & Stekler, Herman & Tamirisa, Natalia, 2013. "Information rigidity in growth forecasts: Some cross-country evidence," International Journal of Forecasting, Elsevier, vol. 29(4), pages 605-621.
    61. Ambrocio, Gene, 2017. "The real effects of overconfidence and fundamental uncertainty shocks," Research Discussion Papers 37, Bank of Finland.
    62. D'Amico, Stefania & King, Thomas B., 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    63. William C. Horrace & Kurt E. Schnier, 2008. "Fixed-Effect Estimation of Highly-Mobile Production Technologies," Center for Policy Research Working Papers 87, Center for Policy Research, Maxwell School, Syracuse University.
    64. Fabiana Gomez & David Pacini, 2015. "Counting Biased Forecasters: An Application of Multiple Testing Techniques," Bristol Economics Discussion Papers 15/661, Department of Economics, University of Bristol, UK.
    65. Deschamps, Bruno & Ioannidis, Christos, 2013. "Can rational stubbornness explain forecast biases?," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 141-151.
    66. Dovern, Jonas, 2013. "When are GDP forecasts updated? Evidence from a large international panel," Economics Letters, Elsevier, vol. 120(3), pages 521-524.
    67. Fushang Liu & Kajal Lahiri, 2006. "Modelling multi-period inflation uncertainty using a panel of density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219.
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NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 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-CBA: Central Banking (1) 2010-06-18
  2. NEP-CTA: Contract Theory & Applications (1) 2010-03-20
  3. NEP-ECM: Econometrics (1) 2010-06-18
  4. NEP-FOR: Forecasting (1) 2010-06-18

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