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Testing Forecast Optimality Under Unknown Loss
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Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Clements, Michael P., 2010.
"Explanations of the inconsistencies in survey respondents' forecasts,"
European Economic Review, Elsevier, vol. 54(4), pages 536-549, May.
- Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents' forecasts," Economic Research Papers 269881, University of Warwick - Department of Economics.
- Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents'forecasts," The Warwick Economics Research Paper Series (TWERPS) 870, University of Warwick, Department of Economics.
- Antonello D’Agostino & Kieran Mcquinn & Karl Whelan, 2012.
"Are Some Forecasters Really Better Than Others?,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(4), pages 715-732, June.
- Antonello D’agostino & Kieran Mcquinn & Karl Whelan, 2012. "Are Some Forecasters Really Better Than Others?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(4), pages 715-732, June.
- Antonello D’Agostino & Kieran McQuinn & Karl Whelan, 2010. "Are Some Forecasters Really Better Than Others?," Working Papers 201012, School of Economics, University College Dublin.
- D'Agostino, Antonello & McQuinn, Kieran & Whelan, Karl, 2010. "Are Some Forecasters Really Better Than Others?," Research Technical Papers 5/RT/10, Central Bank of Ireland.
- D'Agostino, Antonello & McQuinn, Kieran & Whelan, Karl, 2011. "Are some forecasters really better than others?," MPRA Paper 32938, University Library of Munich, Germany.
- 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.
- 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, H. O. Stekler Research Program on Forecasting, revised Mar 2011.
- Wieland, Volker & Wolters, Maik, 2013.
"Forecasting and Policy Making,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325,
Elsevier.
- Wieland, Volker & Wolters, Maik Hendrik, 2012. "Forecasting and policy making," IMFS Working Paper Series 62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Aretz, Kevin & Bartram, Söhnke M. & Pope, Peter F., 2011.
"Asymmetric loss functions and the rationality of expected stock returns,"
International Journal of Forecasting, Elsevier, vol. 27(2), pages 413-437.
- Aretz, Kevin & Bartram, Söhnke M. & Pope, Peter F., 2011. "Asymmetric loss functions and the rationality of expected stock returns," International Journal of Forecasting, Elsevier, vol. 27(2), pages 413-437, April.
- Aretz, Kevin & Bartram, Söhnke M. & Pope, Peter F., 2011. "Asymmetric Loss Functions and the Rationality of Expected Stock Returns," MPRA Paper 47343, University Library of Munich, Germany.
- Emilio Zanetti Chini, 2018.
"Forecaster’s utility and forecasts coherence,"
DEM Working Papers Series
145, University of Pavia, Department of Economics and Management.
- Emilio Zanetti Chini, 2018. "Forecaster’s utility and forecasts coherence," CREATES Research Papers 2018-01, Department of Economics and Business Economics, Aarhus University.
- Emilio Zanetti Chini, 2018. "Forecasters’ utility and forecast coherence," CREATES Research Papers 2018-23, Department of Economics and Business Economics, Aarhus University.
- Christian Pierdzioch & Jan-Christoph Rülke & Peter Tillmann, 2013. "Using forecasts to uncover the loss function of FOMC members," MAGKS Papers on Economics 201302, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Timo Dimitriadis & Andrew J. Patton & Patrick W. Schmidt, 2019.
"Testing Forecast Rationality for Measures of Central Tendency,"
Papers
1910.12545, arXiv.org, revised Jul 2024.
- Dimitriadis, Timo & Patton, Andrew J. & Schmidt, Patrick W., 2020. "Testing forecast rationality for measures of central tendency," Hohenheim Discussion Papers in Business, Economics and Social Sciences 12-2020, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
- Lui, Silvia & Mitchell, James & Weale, Martin, 2011.
"The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys,"
International Journal of Forecasting, Elsevier, vol. 27(4), pages 1128-1146, October.
- Dr Silvia Lui & Dr Martin Weale & Dr. James Mitchell, 2009. "The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys," National Institute of Economic and Social Research (NIESR) Discussion Papers 343, National Institute of Economic and Social Research.
- Francis X. Diebold & Minchul Shin, 2017.
"Assessing point forecast accuracy by stochastic error distance,"
Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 588-598, October.
- Francis X. Diebold & Minchul Shin, 2014. "Assessing Point Forecast Accuracy by Stochastic Error Distance," PIER Working Paper Archive 14-038, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Francis X. Diebold & Minchul Shin, 2016. "Assessing Point Forecast Accuracy by Stochastic Error Distance," NBER Working Papers 22516, National Bureau of Economic Research, Inc.
- Chang, C-L. & McAleer, M.J. & Franses, Ph.H.B.F., 2010.
"Combining Non-Replicable Forecasts,"
Econometric Institute Research Papers
EI 2010-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Combining Non-Replicable Forecasts," Working Papers in Economics 10/35, University of Canterbury, Department of Economics and Finance.
- Franses, Ph.H.B.F. & Kranendonk, H.C. & Lanser, D., 2007.
"On the optimality of expert-adjusted forecasts,"
Econometric Institute Research Papers
EI 2007-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Henk Kranendonk & Debby Lanser & P.H. Franses, 2007. "On the optimality of expert-adjusted forecasts," CPB Discussion Paper 92.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
- Alexander Foltas & Christian Pierdzioch, 2022.
"Business-cycle reports and the efficiency of macroeconomic forecasts for Germany,"
Applied Economics Letters, Taylor & Francis Journals, vol. 29(10), pages 867-872, June.
- Foltas, Alexander & Pierdzioch, Christian, 2020. "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Working Papers 22, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
- Wagner Piazza Gaglianone & Luiz Renato Lima, 2014.
"Constructing Optimal Density Forecasts From Point Forecast Combinations,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 736-757, August.
- Luiz Renato Regis de Oliveira Lima & Wagner Piazza Gaglianone, 2012. "Constructing Optimal Density Forecasts from Point Forecast Combinations," Série Textos para Discussão (Working Papers) 5, Programa de Pós-Graduação em Economia - PPGE, Universidade Federal da Paraíba.
- Matteo Iacopini & Francesco Ravazzolo & Luca Rossini, 2020.
"Proper scoring rules for evaluating asymmetry in density forecasting,"
Papers
2006.11265, arXiv.org, revised Sep 2020.
- Matteo Iacopini & Francesco Ravazzolo & Luca Rossini, 2020. "Proper scoring rules for evaluating asymmetry in density forecasting," Working Papers No 06/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Knüppel, Malte & Schultefrankenfeld, Guido, 2019.
"Assessing the uncertainty in central banks’ inflation outlooks,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1748-1769.
- Knüppel, Malte & Schultefrankenfeld, Guido, 2018. "Assessing the uncertainty in central banks' inflation outlooks," Discussion Papers 56/2018, Deutsche Bundesbank.
- 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.
- Clements, Michael P., 2019.
"Do forecasters target first or later releases of national accounts data?,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1240-1249.
- Michael Clements, 2017. "Do forecasters target first or later releases of national accounts data?," ICMA Centre Discussion Papers in Finance icma-dp2017-03, Henley Business School, University of Reading.
- Michael P. Clements, 2018. "Do Macroforecasters Herd?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(2-3), pages 265-292, March.
- 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.
- Carlos Capistr¡N & Allan Timmermann, 2009.
"Disagreement and Biases in Inflation Expectations,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 365-396, March.
- Carlos Capistrán & Allan Timmermann, 2006. "Disagreement and Biases in Inflation Expectations," Computing in Economics and Finance 2006 3, Society for Computational Economics.
- Carlos Capistrán & Allan Timmermann, 2008. "Disagreement and Biases in Inflation Expectations," CREATES Research Papers 2008-56, Department of Economics and Business Economics, Aarhus University.
- Timmermann Allan & Capistrán Carlos, 2006. "Disagreement and Biases in Inflation Expectations," Working Papers 2006-07, Banco de México.
- Michael P. Clements, 2022. "Forecaster Efficiency, Accuracy, and Disagreement: Evidence Using Individual‐Level Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(2-3), pages 537-568, March.
- Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019.
"Predictive regressions under asymmetric loss: Factor augmentation and model selection,"
International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
- Demetrescu, Matei & Hacioglu Hoke, Sinem, 2018. "Predictive regressions under asymmetric loss: factor augmentation and model selection," Bank of England working papers 723, Bank of England.
- Chini, Emilio Zanetti, 2023. "Can we estimate macroforecasters’ mis-behavior?," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
- Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016.
"Forecasting the South African inflation rate: On asymmetric loss and forecast rationality,"
Economic Systems, Elsevier, vol. 40(1), pages 82-92.
- Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "Forecasting the South African Inflation Rate: On Asymmetric Loss and Forecast Rationality," Working Papers 26/2014, Stellenbosch University, Department of Economics.
- Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "Forecasting the South African Inflation Rate: On Asymmetric Loss and Forecast Rationality," Working Papers 201475, University of Pretoria, Department of Economics.
- Robert P. Lieli & Augusto Nieto-Barthaburu, 2023. "Forecasting with Feedback," Papers 2308.15062, arXiv.org, revised Aug 2024.
- Michael P. Clements, 2014.
"US Inflation Expectations and Heterogeneous Loss Functions, 1968–2010,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 1-14, January.
- Clements, Michael P., 2012. "US inflation expectations and heterogeneous loss functions, 1968–2010," Economic Research Papers 270653, University of Warwick - Department of Economics.
- Clements, Michael P., 2012. "US inflation expectations and heterogeneous loss functions, 1968–2010," The Warwick Economics Research Paper Series (TWERPS) 986, University of Warwick, Department of Economics.
- Andrew Patton & Allan Timmermann, 2012.
"Forecast Rationality Tests Based on Multi-Horizon Bounds,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-17.
- 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.
- Timmermann, Allan & Patton, Andrew, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," CEPR Discussion Papers 8194, C.E.P.R. Discussion Papers.
- 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.
- Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph Ruelke & Georg Stadtmann, 2012. "Forecasting the Brazilian Real and the Mexican Peso: Asymmetric Loss, Forecast Rationality, and Forecaster Herding," Macroeconomics and Finance Series 201202, University of Hamburg, Department of Socioeconomics.
- Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022.
"Forecasting: theory and practice,"
International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
- Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
- Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
- Foltas, Alexander, 2024. "Inefficient forecast narratives: A BERT-based approach," Working Papers 45, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
- Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "On the loss function of the Bank of Canada: A note," Economics Letters, Elsevier, vol. 115(2), pages 155-159.
- Patrick Schmidt & Matthias Katzfuss & Tilmann Gneiting, 2021. "Interpretation of point forecasts with unknown directive," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 728-743, September.
- Bhattacharya, Debopam, 2013.
"Evaluating treatment protocols using data combination,"
Journal of Econometrics, Elsevier, vol. 173(2), pages 160-174.
- Debopam Bhattacharya, 2012. "Evaluating Treatment Protocols using Data Combination," Economics Series Working Papers 609, University of Oxford, Department of Economics.
- Wang, Yiyao & Lee, Tae-Hwy, 2014.
"Asymmetric loss in the Greenbook and the Survey of Professional Forecasters,"
International Journal of Forecasting, Elsevier, vol. 30(2), pages 235-245.
- Tae-Hwy Lee & Yiyao Wang, 2014. "Asymmetric Loss in the Greenbook and the Survey of Professional Forecasters," Working Papers 201407, University of California at Riverside, Department of Economics.
- Carlos Capistrán & Allan Timmermann, 2009. "Disagreement and Biases in Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2‐3), pages 365-396, March.
- Tsuchiya, Yoichi, 2023. "Assessing the World Bank’s growth forecasts," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 64-84.
- 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.
- Dovern, Jonas & Jannsen, Nils, 2015. "Systematic errors in growth expectations over the business cycle," Kiel Working Papers 1989, Kiel Institute for the World Economy (IfW Kiel).
- Clements, Michael P., 2021.
"Do survey joiners and leavers differ from regular participants? The US SPF GDP growth and inflation forecasts,"
International Journal of Forecasting, Elsevier, vol. 37(2), pages 634-646.
- Michael P. Clements, 2020. "Do Survey Joiners and Leavers Differ from Regular Participants? The US SPF GDP Growth and Inflation Forecasts," ICMA Centre Discussion Papers in Finance icma-dp2020-01, Henley Business School, University of Reading.
- Dimitriadis, Timo & Schnaitmann, Julie, 2021. "Forecast encompassing tests for the expected shortfall," International Journal of Forecasting, Elsevier, vol. 37(2), pages 604-621.
- Lieli, Robert P. & Stinchcombe, Maxwell B. & Grolmusz, Viola M., 2019. "Unrestricted and controlled identification of loss functions: Possibility and impossibility results," International Journal of Forecasting, Elsevier, vol. 35(3), pages 878-890.
- Gneiting, Tilmann, 2011. "Quantiles as optimal point forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 197-207, April.
- Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2009.
"Expert opinion versus expertise in forecasting,"
Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 334-346, August.
- Franses, Ph.H.B.F. & McAleer, M.J. & Legerstee, R., 2008. "Expert opinion versus expertise in forecasting," Econometric Institute Research Papers EI 2008-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Jörg Döpke & Ulrich Fritsche & Boriss Siliverstovs, 2010.
"Evaluating German business cycle forecasts under an asymmetric loss function,"
OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(1), pages 1-18.
- Joerg Doepke & Ulrich Fritsche & Boriss Siliverstovs, 2009. "Evaluating German business cycle forecasts under an asymmetric loss function," KOF Working papers 09-237, KOF Swiss Economic Institute, ETH Zurich.
- Joerg Doepke & Ulrich Fritsche & Boriss Siliverstovs, 2009. "Evaluating German Business Cycle Forecasts Under an Asymmetric Loss Function," Macroeconomics and Finance Series 200905, University of Hamburg, Department of Socioeconomics.
- Christoph Behrens, 2019. "A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss," Economies, MDPI, vol. 7(3), pages 1-23, September.
- Timo Dimitriadis & Julie Schnaitmann, 2019. "Forecast Encompassing Tests for the Expected Shortfall," Papers 1908.04569, arXiv.org, revised Aug 2020.
- Tsuchiya, Yoichi, 2015. "Herding behavior and loss functions of exchange rate forecasters over interventions and financial crises," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 266-276.
- Issler, João Victor & Lima, Luiz Renato, 2009.
"A panel data approach to economic forecasting: The bias-corrected average forecast,"
Journal of Econometrics, Elsevier, vol. 152(2), pages 153-164, October.
- Issler, João Victor & Lima, Luiz Renato Regis de Oliveira, 2007. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 642, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- 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, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2007. "A panel data approach to economic forecasting: the bias-corrected average forecast," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 650, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2018. "Using Market Expectations to Test for Speculative Bubbles in the Crude Oil Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 833-856, August.
- Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2014.
"Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons,"
Journal of International Money and Finance, Elsevier, vol. 42(C), pages 310-335.
- Issler, João Victor & Rodrigues, Claudia Ferreira & 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, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Issler, João Victor & Rodrigues, Claudia Ferreira & 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) 744, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Matei Demetrescu & Christoph Roling & Anna Titova, 2021. "Reevaluating the prudence of economic forecasts in the EU: The role of instrument persistence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 151-161, January.
- repec:fgv:epgewp:736 is not listed on IDEAS
- G. Kontogeorgos & K. Lambrias, 2022. "Evaluating the Eurosystem/ECB staff macroeconomic projections: The first 20 years," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 213-229, March.
- Wagner Piazza Gaglianone & João Victor Issler, 2014.
"Microfounded Forecasting,"
Working Papers Series
372, Central Bank of Brazil, Research Department.
- Gaglianone, Wagner Piazza & Issler, João Victor, 2019. "Microfounded forecasting," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 813, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Gaglianone, Wagner Piazza & Issler, João Victor, 2015. "Microfounded forecasting," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 766, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Philip Hans Franses & Max Welz, 2022.
"Evaluating heterogeneous forecasts for vintages of macroeconomic variables,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 829-839, July.
- Franses, Ph.H.B.F. & Welz, M., 2018. "Evaluating heterogeneous forecasts for vintages of macroeconomic variables," Econometric Institute Research Papers EI2018-47, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Mont'Alverne Duarte, Angelo & Gaglianone, Wagner Piazza & de Carvalho Guillén, Osmani Teixeira & Issler, João Victor, 2021.
"Commodity prices and global economic activity: A derived-demand approach,"
Energy Economics, Elsevier, vol. 96(C).
- Angelo Mont’Alverne Duarte & Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & João Victor Issler, 2020. "Commodity Prices and Global Economic Activity: a derived-demand approach," Working Papers Series 539, Central Bank of Brazil, Research Department.
- Miah, Fazlul & Khalifa, Ahmed Ali & Hammoudeh, Shawkat, 2016. "Further evidence on the rationality of interest rate expectations: A comprehensive study of developed and emerging economies," Economic Modelling, Elsevier, vol. 54(C), pages 574-590.
- Higgins, Matthew L. & Mishra, Sagarika, 2014.
"State dependent asymmetric loss and the consensus forecast of real U.S. GDP growth,"
Economic Modelling, Elsevier, vol. 38(C), pages 627-632.
- Higgins, Matthew L. & Mishra, Sagarika, 2012. "State dependent asymmetric loss and the consensus forecast of real U.S. GDP growth," Working Papers fe_2012_10, Deakin University, Department of Economics.
- Manzanares, Andrés & García, Juan Angel, 2007. "Reporting biases and survey results: evidence from European professional forecasters," Working Paper Series 836, European Central Bank.
- Bruzda, Joanna, 2019. "Quantile smoothing in supply chain and logistics forecasting," International Journal of Production Economics, Elsevier, vol. 208(C), pages 122-139.
- Nakazono, Yoshiyuki, 2013. "Strategic behavior of Federal Open Market Committee board members: Evidence from members’ forecasts," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 62-70.
- Franses, Ph.H.B.F. & Kranendonk, H.C. & Lanser, D., 2007.
"On the optimality of expert-adjusted forecasts,"
Econometric Institute Research Papers
EI 2007-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Henk Kranendonk & Debby Lanser & P.H. Franses, 2007. "On the optimality of expert-adjusted forecasts," CPB Discussion Paper 92, CPB Netherlands Bureau for Economic Policy Analysis.
- 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.
- Wagner Piazza Gaglianone & João Victor Issler & Silvia Maria Matos, 2016. "Applying a Microfounded-Forecasting Approach to Predict Brazilian Inflation," Working Papers Series 436, Central Bank of Brazil, Research Department.
- Boskabadi, Elahe, 2022. "Economic policy uncertainty and forecast bias in the survey of professional forecasters," MPRA Paper 115081, University Library of Munich, Germany.
- Chang, Chia-Lin & Franses, Philip Hans & McAleer, Michael, 2011.
"How accurate are government forecasts of economic fundamentals? The case of Taiwan,"
International Journal of Forecasting, Elsevier, vol. 27(4), pages 1066-1075, October.
- Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2009. "How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan," CIRJE F-Series CIRJE-F-637, CIRJE, Faculty of Economics, University of Tokyo.
- Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan," KIER Working Papers 720, Kyoto University, Institute of Economic Research.
- Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan," Working Papers in Economics 10/16, University of Canterbury, Department of Economics and Finance.
- Clements, Michael P, 2006.
"Internal consistency of survey respondents.forecasts : Evidence based on the Survey of Professional Forecasters,"
The Warwick Economics Research Paper Series (TWERPS)
772, University of Warwick, Department of Economics.
- Clements, Michael P., 2006. "Internal consistency of survey respondentsíforecasts: Evidence based on the Survey of Professional Forecasters," Economic Research Papers 269742, University of Warwick - Department of Economics.
- Bruzda, Joanna, 2020. "Demand forecasting under fill rate constraints—The case of re-order points," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1342-1361.
- 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, University of Reading.
- Peter, Eckley, 2015. "(Non)rationality of consumer inflation perceptions," MPRA Paper 77082, University Library of Munich, Germany.
- Valentina Corradi & Sainan Jin & Norman R. Swanson, 2023. "Robust forecast superiority testing with an application to assessing pools of expert forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 596-622, June.
- Wagner Piazza Gaglianone & Luiz Renato Lima, 2012.
"Constructing Density Forecasts from Quantile Regressions,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1589-1607, December.
- Wagner Piazza Gaglianone & Luiz Renato Lima, 2012. "Constructing Density Forecasts from Quantile Regressions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1589-1607, December.
- repec:kap:iaecre:v:15:y:2009:i:4:p:470-482 is not listed on IDEAS
- Giovannelli, Alessandro & Pericoli, Filippo Maria, 2020. "Are GDP forecasts optimal? Evidence on European countries," International Journal of Forecasting, Elsevier, vol. 36(3), pages 963-973.
- repec:pen:papers:14-011 is not listed on IDEAS
- 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.
- Sizova, Natalia, 2011. "Integrated variance forecasting: Model based vs. reduced form," Journal of Econometrics, Elsevier, vol. 162(2), pages 294-311, June.
- Sarah Miller & Patrick Sabourin, 2023. "What consistent responses on future inflation by consumers can reveal," Discussion Papers 2023-7, Bank of Canada.
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