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Xuguang Simon Sheng

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. 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.

    Mentioned in:

    1. Measuring forecast uncertainty by disagreement: The missing link (Journal of Applied Econometrics 2010) in ReplicationWiki ()

Working papers

  1. Steven J. Davis & Dingqian Liu & Xuguang Simon Sheng, 2021. "Stock Prices and Economic Activity in the Time of Coronavirus," NBER Working Papers 28320, National Bureau of Economic Research, Inc.

    Cited by:

    1. Guglielmo Maria Caporale & Woo-Young Kang & Fabio Spagnolo & Nicola Spagnolo, 2022. "The COVID-19 pandemic, policy responses and stock markets in the G20," International Economics, CEPII research center, issue 172, pages 77-90.
    2. Jose Maria Barrero & Nicholas Bloom & Steven J. Davis, 2021. "Internet Access and its Implications for Productivity, Inequality, and Resilience," NBER Working Papers 29102, National Bureau of Economic Research, Inc.
    3. Massimo Ferrari Minesso & Laura Lebastard & Helena Mezo, 2023. "Text-Based Recession Probabilities," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 415-438, June.
    4. Jens Klose & Peter Tillmann, 2022. "The Real and Financial Impact of COVID-19 Around the World," MAGKS Papers on Economics 202201, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    5. Barrot, Jean-Noël & Bonelli, Maxime & Grassi, Basile & Sauvagnat, Julien, 2024. "Causal effects of closing businesses in a pandemic," Journal of Financial Economics, Elsevier, vol. 154(C).
    6. Sha, Yezhou & Zhang, Yong & Lu, Xiaomeng, 2022. "Household investment diversification amid Covid-19 pandemic: Evidence from Chinese investors," Finance Research Letters, Elsevier, vol. 47(PA).
    7. Ritika Jain & Rajnish Kumar, 2023. "Effect of COVID‐19 Lockdown on the Profitability of Firms in India," Economic Papers, The Economic Society of Australia, vol. 42(1), pages 54-71, March.
    8. Ferrara, Laurent & Sheng, Xuguang Simon, 2022. "Guest editorial: Economic forecasting in times of COVID-19," International Journal of Forecasting, Elsevier, vol. 38(2), pages 527-528.
    9. Jens Klose & Peter Tillmann, 2023. "The stock market and NO2 emissions effects of COVID‐19 around the world," Economics and Politics, Wiley Blackwell, vol. 35(2), pages 556-594, July.
    10. Ms. Elif C Arbatli Saxegaard & Steven J Davis & Arata Ito & Naoko Miake & Ikuo Saito, 2017. "Policy Uncertainty in Japan," IMF Working Papers 2017/128, International Monetary Fund.
    11. Hanwen Chen & Siyi Liu & Xin Liu & Jiani Wang, 2022. "Opportunistic timing of management earnings forecasts during the COVID‐19 crisis in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1495-1533, April.
    12. Ortmans, Aymeric & Tripier, Fabien, 2021. "COVID-induced sovereign risk in the euro area: When did the ECB stop the spread?," European Economic Review, Elsevier, vol. 137(C).
    13. Emrah Koçak & Umit Bulut & Angeliki N. Menegaki, 2022. "The resilience of green firms in the twirl of COVID‐19: Evidence from S&P500 Carbon Efficiency Index with a Fourier approach," Business Strategy and the Environment, Wiley Blackwell, vol. 31(1), pages 32-45, January.
    14. INOUE Tomoo & OKIMOTO Tatsuyoshi, 2022. "Exploring the Dynamic Relationship between Mobility and the Spread of COVID-19, and the Role of Vaccines," Discussion papers 22011, Research Institute of Economy, Trade and Industry (RIETI).
    15. Baker, Scott R. & Davis, Steven J. & Levy, Jeffrey A., 2022. "State-level economic policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 81-99.
    16. Ambrocio, Gene & Hasan, Iftekhar, 2022. "Belief polarization and Covid-19," Bank of Finland Research Discussion Papers 10/2022, Bank of Finland.
    17. Klose, Jens & Tillmann, Peter, 2023. "Stock market response to Covid-19, containment measures and stabilization policies—The case of Europe," International Economics, Elsevier, vol. 173(C), pages 29-44.
    18. Jens Klose, 2022. "European Exchange Rate Adjustments in Response to COVID-19, Containment Measures and Stabilization Policies," MAGKS Papers on Economics 202220, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    19. Albrecht, Peter & Kočenda, Evžen, 2024. "Volatility connectedness on the central European forex markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
    20. Lv, Wendai & Qi, Jipeng & Feng, Jing, 2023. "Economic policy uncertainty and environmental governance company volatility: Evidence from China," Research in International Business and Finance, Elsevier, vol. 64(C).
    21. Taewoo Kim & Hyuk Shawn, 2022. "Conservative Financial Reporting and Resilience to the Financial Crisis," Sustainability, MDPI, vol. 14(14), pages 1-11, July.

  2. Brent Meyer & Nicholas B. Parker & Xuguang Sheng, 2021. "Unit Cost Expectations and Uncertainty: Firms' Perspectives on Inflation," FRB Atlanta Working Paper 2021-12a, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Gorodnichenko, Yuriy & Candia, Bernardo, 2021. "The Inflation Expectations Of U.S. Firms: Evidence From A New Survey," CEPR Discussion Papers 16161, C.E.P.R. Discussion Papers.
    2. Frache, Serafin & Lluberas, Rodrigo & Turen, Javier, 2024. "Belief-dependent pricing decisions," Economic Modelling, Elsevier, vol. 132(C).
    3. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2023. "The Phillips curve at 65: Time for time and frequency," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    4. Zidong An & Salem Abo‐Zaid & Xuguang Simon Sheng, 2023. "Inattention and the impact of monetary policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 623-643, June.

  3. Stephen J. Davis & Dingqian Liu & Xuguang Simon Sheng, 2020. "Stock Prices, Lockdowns, and Economic Activity in the Time of Coronavirus," Working Papers 2020-156, Becker Friedman Institute for Research In Economics.

    Cited by:

    1. ÅžimÅŸek, Alp & Caballero, Ricardo, 2020. "A Model of Endogenous Risk Intolerance and LSAPs: Asset Prices and Aggregate Demand in a "Covid-19" Shock," CEPR Discussion Papers 14627, C.E.P.R. Discussion Papers.
    2. Ren, Zhaomin & Zhang, Xuan & Zhang, Zhekai, 2021. "New evidence on COVID-19 and firm performance," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 213-225.

  4. Brent Meyer & Brian Prescott & Xuguang Sheng, 2020. "The Impact of the COVID-19 Pandemic on Business Expectations," FRB Atlanta Working Paper 2020-17, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Wang, Qi & Weng, Chen, 2024. "Two-way risk: Trade policy uncertainty and inflation in the United States and China," Finance Research Letters, Elsevier, vol. 62(PA).
    2. Szafranek, Karol & Szafrański, Grzegorz & Leszczyńska-Paczesna, Agnieszka, 2024. "Inflation returns. Revisiting the role of external and domestic shocks with Bayesian structural VAR," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 789-810.
    3. Tudoran, Ana Alina & Hjerrild Thomsen, Charlotte & Thomasen, Sophie, 2024. "Understanding consumer behavior during and after a Pandemic: Implications for customer lifetime value prediction models," Journal of Business Research, Elsevier, vol. 174(C).
    4. Meyer, Brent H. & Prescott, Brian C. & Sheng, Xuguang Simon, 2023. "The impact of supply chain disruptions on business expectations during the pandemic," Energy Economics, Elsevier, vol. 126(C).
    5. Nguyen Duc Kien & Pham Xuan Hung & Truong Tan Quan & Nguyen Minh Hien, 2023. "The COVID-19 Pandemic Impact and Responses in Emerging Economies: Evidence from Vietnamese Firms," Economies, MDPI, vol. 11(1), pages 1-16, January.
    6. An, Zidong & Sheng, Xuguang Simon & Zheng, Xinye, 2023. "What is the role of perceived oil price shocks in inflation expectations?," Energy Economics, Elsevier, vol. 126(C).
    7. Cuesta-González, Ana & Cabeza-García, Laura & Fernández-Gago, Roberto, 2024. "CSR in Times of Crisis According to ESG Indicators in Europe: Analysis of the Impact of COVID-19," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    8. Armantier, Olivier & Koşar, Gizem & Pomerantz, Rachel & Skandalis, Daphné & Smith, Kyle & Topa, Giorgio & van der Klaauw, Wilbert, 2021. "How economic crises affect inflation beliefs: Evidence from the Covid-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 443-469.
    9. Sass, Magdolna & Gál, Zoltán & S. Gubik, Andrea & Szunomár, Ágnes & Túry, Gábor, 2022. "A koronavírus-járvány kezelése a külföldi tulajdonú magyarországi vállalatoknál [The effects and handling of the Covid-19 pandemic by foreign-owned firms in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 758-780.
    10. Brent H. Meyer & Nicholas B. Parker & Xuguang Simon Sheng, 2021. "Unit Cost Expectations and Uncertainty: Firms' Perspectives on Inflation," Working Papers 2021-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Nov 2021.
    11. Zheng, Panpan & Li, Zhen & Zhuang, Ziyin, 2024. "The impact of COVID-19 on corporate digital innovation in China: A study based on the DDD model," Finance Research Letters, Elsevier, vol. 59(C).
    12. Azhgaliyeva, Dina & Mishra, Ranjeeta & Long, Trinh & Morgan, Peter & Kodama, Wataru, 2022. "Impacts of COVID-19 on Households’ Business, Employment and School Education: Evidence from Household Survey in CAREC Countries," ADBI Working Papers 1335, Asian Development Bank Institute.
    13. Omrane Guedhami & April Knill & William Megginson & Lemma W. Senbet, 2023. "Economic impact of COVID-19 across national boundaries: The role of government responses," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(7), pages 1278-1297, September.
    14. Muntazir Hussain & Usman Bashir & Ramiz Ur Rehman, 2024. "Exchange Rate and Stock Prices Volatility Connectedness and Spillover during Pandemic Induced-Crises: Evidence from BRICS Countries," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(1), pages 183-203, March.
    15. Philippe Goulet Coulombe & Maximilian Goebel & Karin Klieber, 2024. "Dual Interpretation of Machine Learning Forecasts," Papers 2412.13076, arXiv.org.
    16. Nasir Ali & Muhammad Zia Ur Rehman & Badar Nadeem Ashraf & Falik Shear, 2022. "Corporate Dividend Policies during the COVID-19 Pandemic," Economies, MDPI, vol. 10(11), pages 1-12, October.
    17. Bashir Adelowo Wahab & Adamu Jibir & Musa Abdu, 2024. "COVID-19 Pandemic and Household Entrepreneurship in Nigeria: Do Crises Create Necessity-driven and/or Innovative Entrepreneurship?," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 16(2), pages 270-286, May.
    18. Kedwadee Sombultawee & Pattama Lenuwat & Natdanai Aleenajitpong & Sakun Boon-itt, 2022. "COVID-19 and Supply Chain Management: A Review with Bibliometric," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    19. Mariusz Zieliński, 2022. "The Effect of the COVID-19 Pandemic on the Labor Markets of the Visegrad Countries," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    20. Leping Huang & Yuning Cao & Yingfu Zhu, 2023. "Is there any recovery power for economic growth from green finance? Evidence from OECD member countries," Economic Change and Restructuring, Springer, vol. 56(6), pages 3909-3926, December.
    21. Muhammad Abdus Salam & Sheikh Marufa Nabila & Tonmoy Dey & Fatema Chowdhury, 2022. "Reflection of Customers’ Preference for Offline Shopping amid Covid-19: A Post Vaccination Analysis in Bangladesh," International Business Research, Canadian Center of Science and Education, vol. 15(6), pages 1-39, June.
    22. Simionescu, Mihaela & Raišienė, Agota Giedrė, 2021. "A bridge between sentiment indicators: What does Google Trends tell us about COVID-19 pandemic and employment expectations in the EU new member states?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    23. Woraphon Yamaka & Paravee Maneejuk & Rungrapee Phadkantha & Wiranya Puntoon & Payap Tarkhamtham & Tatcha Sudtasan, 2023. "Survival and Duration Analysis of MSMEs in Chiang Mai, Thailand: Evidence from the Post-COVID-19 Recovery," Mathematics, MDPI, vol. 11(4), pages 1-21, February.

  5. Tomasz Łyziak & Xuguang Sheng, 2018. "Disagreement in consumer inflation expectations," NBP Working Papers 278, Narodowy Bank Polski.

    Cited by:

    1. Paulina Ziembińska, 2021. "Quality of Tests of Expectation Formation for Revised Data," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(4), pages 405-453, December.
    2. Mazumder, Sandeep, 2021. "The reaction of inflation forecasts to news about the Fed," Economic Modelling, Elsevier, vol. 94(C), pages 256-264.
    3. Yongchen Zhao, 2022. "Uncertainty and disagreement of inflation expectations: Evidence from household‐level qualitative survey responses," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 810-828, July.
    4. Carlos Medel, 2021. "Searching for the Best Inflation Forecasters within a Consumer Perceptions Survey: Microdata Evidence from Chile," Working Papers Central Bank of Chile 899, Central Bank of Chile.

  6. Ezgi O. Ozturk & Xuguang Simon Sheng, 2017. "Measuring Global and Country-Specific Uncertainty," IMF Working Papers 2017/219, International Monetary Fund.

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Richardson Kojo Edeme & Ekene ThankGod Emeka & Jonathan Emenike Ogbuabor, 2024. "Global Uncertainty, Climate Change and the Unemployment-Economic Growth Relationship in Nigeria," Journal of Development Policy and Practice, , vol. 9(2), pages 238-256, July.
    3. Steve Brito & Mr. Yan Carriere-Swallow & Bertrand Gruss, 2018. "Disagreement about Future Inflation: Understanding the Benefits of Inflation Targeting and Transparency," IMF Working Papers 2018/024, International Monetary Fund.
    4. Sheng, Xin & Gupta, Rangan & Ji, Qiang, 2020. "The impacts of structural oil shocks on macroeconomic uncertainty: Evidence from a large panel of 45 countries," Energy Economics, Elsevier, vol. 91(C).
    5. Wu, Ji & Yao, Yao & Chen, Minghua & Jeon, Bang Nam, 2020. "Economic uncertainty and bank risk: Evidence from emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 68(C).
    6. Wensheng Kang & Ronald A. Ratti & Joaquin Vespignani, 2020. "Impact of global uncertainty on the global economy and large developed and developing economies," Applied Economics, Taylor & Francis Journals, vol. 52(22), pages 2392-2407, May.
    7. Sangyup Choi & Davide Furceri & Seung Yong Yoo, 2024. "Heterogeneity in the Effects of Uncertainty Shocks on Labor Market Dynamics and Extensive vs. Intensive Margins of Adjustment," CAMA Working Papers 2024-17, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Klodiana Istrefi & Sarah Mouabbi, 2017. "Subjective interest rate uncertainty and the macroeconomy : a cross-country analysis," Rue de la Banque, Banque de France, issue 48, september.
    9. Xu, Xiangyun & Li, Xing & Meng, Jie & Hu, Xueqi & Ge, Yingfan, 2024. "The impact of the tail risk of demand on corporate investment: Evidence from Chinese manufacturing firms," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    10. Bobasu, Alina & Geis, André & Quaglietti, Lucia & Ricci, Martino, 2021. "Tracking global economic uncertainty: implications for the euro area," Working Paper Series 2541, European Central Bank.
    11. Kang, Wensheng & Ratti, Ronald. A. & Vespignani, Joaquin, 2018. "Financial and non-financial global stock market volatility shocks," Working Papers 2018-07, University of Tasmania, Tasmanian School of Business and Economics.
    12. Martin Gächter & Martin Geiger & Sebastian Stöckl, 2019. "Credit Intermediation and the Transmission of Macro-Financial Uncertainty: International Evidence," Arbeitspapiere 63, Liechtenstein-Institut.
    13. Constantin Bürgi & Tara M. Sinclair, 2020. "What Does Forecaster Disagreement Tell Us about the State of the Economy?," Working Papers 2020-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    14. Sangyup Choi & Myungkyu Shim, 2019. "Financial vs. Policy Uncertainty in Emerging Market Economies," Open Economies Review, Springer, vol. 30(2), pages 297-318, April.
    15. Sébastien Fries & Jean‐Stéphane Mésonnier & Sarah Mouabbi & Jean‐Paul Renne, 2018. "National natural rates of interest and the single monetary policy in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 763-779, September.
    16. Ilhan Kilic & Faruk Balli, 2024. "Measuring economic country-specific uncertainty in Türkiye," Empirical Economics, Springer, vol. 67(4), pages 1649-1689, October.
    17. González-Rivera, Gloria, 2018. "Growth in Stress," DES - Working Papers. Statistics and Econometrics. WS 26623, Universidad Carlos III de Madrid. Departamento de Estadística.
    18. Costantini, Mauro & Sousa, Ricardo M., 2022. "What uncertainty does to euro area sovereign bond markets: Flight to safety and flight to quality," Journal of International Money and Finance, Elsevier, vol. 122(C).
    19. Joscha Beckmann & Robert L. Czudaj, 2023. "The role of expectations for currency crisis dynamics—The case of the Turkish lira," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 625-642, April.
    20. Toh, Moau Yong & Zhang, Yongmin, 2022. "Bank capital and risk adjustment responses to economic uncertainty: Evidence from emerging Southeast Asian economies," Research in International Business and Finance, Elsevier, vol. 60(C).
    21. Gillmann, Niels & Kim, Alisa, 2021. "Quantification of Economic Uncertainty: a deep learning approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242421, Verein für Socialpolitik / German Economic Association.
    22. Beckmann, Joscha & Czudaj, Robert L., 2023. "Perceived monetary policy uncertainty," Journal of International Money and Finance, Elsevier, vol. 130(C).
    23. Constantin Burgi, 2016. "What Do We Lose When We Average Expectations?," Working Papers 2016-013, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    24. Liu, Yang & Sheng, Xuguang Simon, 2019. "The measurement and transmission of macroeconomic uncertainty: Evidence from the U.S. and BRIC countries," International Journal of Forecasting, Elsevier, vol. 35(3), pages 967-979.
    25. Goodness C. Aye & Matthew W. Clance & Rangan Gupta, 2017. "The Effectiveness of Monetary and Fiscal Policy Shocks on U.S. Inequality: The Role of Uncertainty," Working Papers 201782, University of Pretoria, Department of Economics.
    26. An, Zidong & Sheng, Xuguang Simon & Zheng, Xinye, 2023. "What is the role of perceived oil price shocks in inflation expectations?," Energy Economics, Elsevier, vol. 126(C).
    27. Peter Reinhard Hansen & Chen Tong, 2022. "Option Pricing with Time-Varying Volatility Risk Aversion," Papers 2204.06943, arXiv.org, revised Aug 2024.
    28. Redl, Chris, 2020. "Uncertainty matters: Evidence from close elections," Journal of International Economics, Elsevier, vol. 124(C).
    29. Tajaddini, Reza & Gholipour, Hassan F., 2021. "Economic uncertainty and business formation: A cross-country analysis," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
    30. MASUJIMA Yuki, 2019. "Time-Variant Safe-Haven Currency Status and Determinants," Discussion papers 19048, Research Institute of Economy, Trade and Industry (RIETI).
    31. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin L., 2020. "Revising the Impact of Financial and Non-Financial Global Stock Market Volatility Shocks," MPRA Paper 103019, University Library of Munich, Germany.
    32. Kheng, Veasna & Mckinley, Justin & Pan, Lei, 2021. "The decline of labour share in OECD and non-OECD since the 1980s," MPRA Paper 110838, University Library of Munich, Germany.
    33. Beckmann, Joscha, 2021. "Measurement and effects of euro/dollar exchange rate uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 773-790.
    34. Wu, Ji & Yan, Yuanyun & Chen, Minghua & Jeon, Bang Nam, 2022. "Monetary policy, economic uncertainty and bank risk: Cross-country evidence," Journal of International Money and Finance, Elsevier, vol. 122(C).
    35. Bonciani, Dario & Ricci, Martino, 2020. "The international effects of global financial uncertainty shocks," Journal of International Money and Finance, Elsevier, vol. 109(C).
    36. Dibiasi, Andreas & Sarferaz, Samad, 2023. "Measuring macroeconomic uncertainty: A cross-country analysis," European Economic Review, Elsevier, vol. 153(C).
    37. Su, Zhi & Fang, Tong & Yin, Libo, 2019. "Understanding stock market volatility: What is the role of U.S. uncertainty?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 582-590.
    38. Charemza, Wojciech & Díaz, Carlos & Makarova, Svetlana, 2019. "Quasi ex-ante inflation forecast uncertainty," International Journal of Forecasting, Elsevier, vol. 35(3), pages 994-1007.
    39. MASUJIMA Yuki, 2022. "Tracking Exchange Rate Determinants amid the Pandemic," Discussion papers 22001, Research Institute of Economy, Trade and Industry (RIETI).
    40. Semih Emre Cekin & Ashis Kumar Pradhan & Aviral Kumar Tiwari & Rangan Gupta, 2018. "Measuring Co-Dependencies of Economic Policy Uncertainty in Latin American Countries using Vine Copulas," Working Papers 201867, University of Pretoria, Department of Economics.
    41. Charemza, Wojciech & Makarova, Svetlana & Rybiński, Krzysztof, 2022. "Economic uncertainty and natural language processing; The case of Russia," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 546-562.
    42. Graziano Moramarco, 2020. "Measuring Global Macroeconomic Uncertainty," Working Papers wp1148, Dipartimento Scienze Economiche, Universita' di Bologna.
    43. Ifwarsson, Emil Johan Verlo & Kleiven, Lars Erik & Sendstad, Lars H. & Hagspiel, Verena, 2021. "Policy uncertainty in Scandinavian countries," Economics Letters, Elsevier, vol. 209(C).
    44. Rita Juliana & Irwan Adi Ekaputra & Zaäfri Ananto Husodo & Sung suk Kim, 2024. "Endogenous Uncertainty: Does Investment Inefficiency Contributes to Uncertainty?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 27(2), pages 265-298, May.
    45. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2018. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," Financial and Monetary Policy Studies, in: Laurent Ferrara & Ignacio Hernando & Daniela Marconi (ed.), International Macroeconomics in the Wake of the Global Financial Crisis, pages 159-181, Springer.
    46. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2019. "The impact of economic policy uncertainty and commodity prices on CARB country stock market volatility," MPRA Paper 96577, University Library of Munich, Germany.
    47. Boonlert Jitmaneeroj & Michael Lamla, 2018. "The Implications of Central Bank Transparency for Uncertainty and Disagreement," KOF Working papers 18-445, KOF Swiss Economic Institute, ETH Zurich.
    48. He, Wen & Hu, Maggie Rong & Mi, Lin & Yu, Jin, 2021. "How stable are corporate capital structures? International evidence," Journal of Banking & Finance, Elsevier, vol. 126(C).
    49. Hantzsche, Arno, 2022. "Fiscal uncertainty and sovereign credit risk," European Economic Review, Elsevier, vol. 148(C).
    50. Yang, Chien-Wen & Hsieh, Yi-Shan & Hung, Chih-Yuan, 2024. "Economic uncertainty and corporate cash holdings: Evidence from Taiwan," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    51. Oscar Claveria, 2021. "Uncertainty indicators based on expectations of business and consumer surveys," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 483-505, May.
    52. Miescu, Mirela S., 2023. "Uncertainty shocks in emerging economies: A global to local approach for identification," European Economic Review, Elsevier, vol. 154(C).
    53. Oscar Claveria, 2021. "On the Aggregation of Survey-Based Economic Uncertainty Indicators Between Different Agents and Across Variables," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 1-26, April.
    54. Śmiech, Sławomir & Papież, Monika & Shahzad, Syed Jawad Hussain, 2020. "Spillover among financial, industrial and consumer uncertainties. The case of EU member states," International Review of Financial Analysis, Elsevier, vol. 70(C).
    55. Kıvanç Karaman, K. & Yıldırım-Karaman, Seçil, 2019. "How does financial development alter the impact of uncertainty?," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 33-42.
    56. Beckmann, Joscha & Davidson, Sharada Nia & Koop, Gary & Schüssler, Rainer, 2023. "Cross-country uncertainty spillovers: Evidence from international survey data," Journal of International Money and Finance, Elsevier, vol. 130(C).
    57. Julius Loermann, 2021. "The impact of CHF/EUR exchange rate uncertainty on Swiss exports to the Eurozone: evidence from a threshold VAR," Empirical Economics, Springer, vol. 60(3), pages 1363-1385, March.
    58. Tihana Škrinjarić & Zrinka Orlović, 2020. "Economic Policy Uncertainty and Stock Market Spillovers: Case of Selected CEE Markets," Mathematics, MDPI, vol. 8(7), pages 1-33, July.
    59. Evren Erdogan Cosar & Sayg�n Sahinoz, 2018. "Quantifying Uncertainty and Identifying its Impacts on the Turkish Economy," Working Papers 1806, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    60. Baker, Scott R. & Davis, Steven J. & Levy, Jeffrey A., 2022. "State-level economic policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 81-99.
    61. Oksana Hoshovska & Zhanna Poplavska & Jana Kajanova & Olena Trevoho, 2023. "Random Risk Factors Influencing Cash Flows: Modifying RADR," Mathematics, MDPI, vol. 11(2), pages 1-22, January.
    62. Anh‐Tuan Doan & Anh‐Tuan Le & Quan Tran, 2020. "Economic uncertainty, ownership structure and small and medium enterprises performance," Australian Economic Papers, Wiley Blackwell, vol. 59(2), pages 102-137, June.
    63. Hanna Armelius & Carl Andreas Claussen & André Reslow, 2022. "Withering Cash: Is Sweden Ahead of the Curve or Just Special?," International Journal of Central Banking, International Journal of Central Banking, vol. 18(4), pages 1-52, October.
    64. Ferrara, L. & Istrefi, K., 2016. "Impact des chocs d’incertitude sur l’économie mondiale – Synthèse de conférence," Bulletin de la Banque de France, Banque de France, issue 206, pages 61-68.
    65. Shen, Yifan & Shi, Xunpeng & Zeng, Ting, 2017. "Global Uncertainty, Macroeconomic Activity and Commodity Price," MPRA Paper 90089, University Library of Munich, Germany, revised 17 Nov 2018.
    66. Cho, Dooyeon & Im, Pullip, 2023. "Effects of monetary policy uncertainty on debt financing: Evidence from Korean heterogeneous firms," Journal of International Money and Finance, Elsevier, vol. 139(C).
    67. Goemans, Pascal, 2023. "The impact of public consumption and investment in the euro area during periods of high and normal uncertainty," Economic Modelling, Elsevier, vol. 126(C).
    68. Śmiech, Sławomir & Papież, Monika & Dąbrowski, Marek A., 2019. "How important are different aspects of uncertainty in driving industrial production in the CEE countries?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 252-266.
    69. Cho, Dooyeon & Han, Heejoon & Lee, Na Kyeong, 2019. "Carry trades and endogenous regime switches in exchange rate volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 255-268.
    70. Giovanni Caggiano & Efrem Castelnuovo, 2023. "Global financial uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 432-449, April.
    71. Linyan Dai & Xin Sheng, 2021. "The Impact of Uncertainty on State-Level Housing Markets of the United States: The Role of Social Cohesion," Sustainability, MDPI, vol. 13(6), pages 1-9, March.
    72. Nguyen Ba Trung, 2022. "Output fluctuations and portfolio flows to emerging economies: The role of monetary uncertainty," International Finance, Wiley Blackwell, vol. 25(3), pages 285-295, December.
    73. Dang, Van Dan & Nguyen, Hoang Chung, 2022. "Bank profitability under uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 119-134.
    74. Wu, Ji & Yao, Yao & Chen, Minghua & Jeon, Bang Nam, 2021. "Does economic uncertainty affect the soundness of banks? Evidence from emerging Asian economies," Journal of Asian Economics, Elsevier, vol. 77(C).
    75. Gholipour, Hassan F. & Tajaddini, Reza & Farzanegan, Mohammad Reza & Yam, Sharon, 2021. "Responses of REITs index and commercial property prices to economic uncertainties: A VAR analysis," Research in International Business and Finance, Elsevier, vol. 58(C).
    76. Graziano Moramarco, 2022. "Measuring Global Macroeconomic Uncertainty and Cross-Country Uncertainty Spillovers," Econometrics, MDPI, vol. 11(1), pages 1-29, December.
    77. Jaromir Baxa & Tomas Sestorad, 2024. "Economic Policy Uncertainty in Europe: Spillovers and Common Shocks," Working Papers IES 2024/34, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2024.
    78. Muhammad Zubair Chishti & Eyup Dogan, 2024. "Analyzing the determinants of renewable energy: The moderating role of technology and macroeconomic uncertainty," Energy & Environment, , vol. 35(2), pages 874-903, March.
    79. Juan M. Londono & Sai Ma & Beth Anne Wilson, 2021. "The Global Transmission of Real Economic Uncertainty," International Finance Discussion Papers 1317, Board of Governors of the Federal Reserve System (U.S.).
    80. Liu, Yang & Han, Liyan & Yin, Libo, 2019. "News implied volatility and long-term foreign exchange market volatility," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 126-142.
    81. Ductor, Lorenzo & Leiva-León, Danilo, 2022. "Fluctuations in global output volatility," Journal of International Money and Finance, Elsevier, vol. 120(C).
    82. Hossain, Akhand Akhtar & Arwatchanakarn, Popkarn, 2020. "The effect of economic uncertainty on narrow money demand and its stability in New Zealand: An empirical investigation," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 88-100.
    83. Hwang, So Jung & Suh, Hyunduk, 2021. "Overall and time-varying effects of global and domestic uncertainty on the Korean economy," Journal of Asian Economics, Elsevier, vol. 76(C).
    84. Wu, Ji & Li, Huimin & Zheng, Dazhi & Liu, Xiaoyan, 2021. "Economic uncertainty or financial uncertainty? An empirical analysis of bank risk-taking in Asian emerging markets," Finance Research Letters, Elsevier, vol. 39(C).

  7. Kajal Lahiri & Huaming Peng & Xuguang Sheng, 2015. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," CESifo Working Paper Series 5468, CESifo.

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Issler, João Victor & Soares, Ana Flávia, 2019. "Central Bank credibility and inflation expectations: a microfounded forecasting approach," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 812, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    3. Knüppel, Malte & Schultefrankenfeld, Guido, 2013. "The empirical (ir)relevance of the interest rate assumption for central bank forecasts," Discussion Papers 11/2013, Deutsche Bundesbank.
    4. Monique Reid & Pierre Siklos, 2024. "Firm level expectations and macroeconomic conditions underpinnings and disagreement," Working Papers 11058, South African Reserve Bank.
    5. Pierre L. Siklos, 2016. "Forecast Disagreement and the Inflation Outlook: New International Evidence," IMES Discussion Paper Series 16-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
    6. Dovern, Jonas & Hartmann, Matthias, 2016. "Forecast Performance, Disagreement, and Heterogeneous Signal-to-Noise Ratios," Working Papers 0611, University of Heidelberg, Department of Economics.
    7. Pierre L. Siklos, 2017. "What has publishing inflation forecasts accomplished? Central banks and their competitors," CAMA Working Papers 2017-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. 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.
    9. Wagner Piazza Gaglianone & João Victor Issler, 2014. "Microfounded Forecasting," Working Papers Series 372, Central Bank of Brazil, Research Department.
    10. Reifschneider, David & Tulip, Peter, 2019. "Gauging the uncertainty of the economic outlook using historical forecasting errors: The Federal Reserve’s approach," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1564-1582.
    11. Alexander Glas & Matthias Hartmann, 2020. "Uncertainty measures from partially rounded probabilistic forecast surveys," Working Papers 427, University of Milano-Bicocca, Department of Economics, revised Jan 2020.
    12. Michael Clements, 2016. "Are Macroeconomic Density Forecasts Informative?," ICMA Centre Discussion Papers in Finance icma-dp2016-02, Henley Business School, University of Reading.
    13. Philip Hans Franses, 2021. "Modeling Judgment in Macroeconomic Forecasts," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 401-417, December.
    14. Qian, Wei & Rolling, Craig A. & Cheng, Gang & Yang, Yuhong, 2022. "Combining forecasts for universally optimal performance," International Journal of Forecasting, Elsevier, vol. 38(1), pages 193-208.
    15. Knüppel, Malte & Krüger, Fabian, 2019. "Forecast uncertainty, disagreement, and the linear pool," Discussion Papers 28/2019, Deutsche Bundesbank.

  8. Xuguang Sheng & Jingyun Yang, 2013. "Truncated Product Methods for Panel Unit Root Tests," Working Papers 2013-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Clements, Michael P., 2014. "Probability distributions or point predictions? Survey forecasts of US output growth and inflation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 99-117.
    2. In Choi, 2019. "Unit Root Tests for Dependent Micropanels," The Japanese Economic Review, Japanese Economic Association, vol. 70(2), pages 145-167, June.
    3. Juan Aquino-Chávez & N.R. Ramírez-Rondán, 2017. "Estimating Factor Shares from Nonstationary Panel Data," Working Papers 89, Peruvian Economic Association.
    4. Manzan, Sebastiano, 2021. "Are professional forecasters Bayesian?," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
    5. Lan Cheng & Xuguang Simon Sheng, 2017. "Combination of “combinations of p values”," Empirical Economics, Springer, vol. 53(1), pages 329-350, August.
    6. In Choi, 2014. "Unit root tests for dependent and heterogeneous micropanels," Working Papers 1404, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).

  9. Xuguang Sheng & Lan Cheng, 2012. "Combination of "Combinations of P-values," Working Papers 2012-11, American University, Department of Economics.

    Cited by:

    1. Algieri, Bernardina & Leccadito, Arturo, 2019. "Price volatility and speculative activities in futures commodity markets: A combination of combinations of p-values test," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 40-54.

  10. 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. 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.
    2. 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.
    3. Carlos Capistrán & Allan Timmermann, 2008. "Forecast Combination With Entry and Exit of Experts," CREATES Research Papers 2008-55, Department of Economics and Business Economics, Aarhus University.
    4. Timmermann, Allan & Elliott, Graham, 2007. "Economic Forecasting," CEPR Discussion Papers 6158, C.E.P.R. Discussion Papers.
    5. 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, H. O. Stekler Research Program on Forecasting.
    6. Dovern, Jonas & Hartmann, Matthias, 2016. "Forecast Performance, Disagreement, and Heterogeneous Signal-to-Noise Ratios," Working Papers 0611, University of Heidelberg, Department of Economics.
    7. 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.
    8. 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.
    9. Sheng, Xuguang (Simon), 2015. "Evaluating the economic forecasts of FOMC members," International Journal of Forecasting, Elsevier, vol. 31(1), pages 165-175.
    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.
    11. Pesaran, M. Hashem & Weale, Martin, 2006. "Survey Expectations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 14, pages 715-776, Elsevier.
    12. 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.

  11. Kajal Lahiri & Xuguang Sheng, 2009. "Learning and Heterogeneity in GDP and Inflation Forecasts," Discussion Papers 09-05, University at Albany, SUNY, Department of Economics.

    Cited by:

    1. 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.
    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. Clements, Michael P., 2014. "Probability distributions or point predictions? Survey forecasts of US output growth and inflation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 99-117.
    4. 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.
    5. Chen, Qiwei & Costantini, Mauro & Deschamps, Bruno, 2016. "How accurate are professional forecasts in Asia? Evidence from ten countries," International Journal of Forecasting, Elsevier, vol. 32(1), pages 154-167.
    6. Clements, Michael P., 2012. "Do professional forecasters pay attention to data releases?," International Journal of Forecasting, Elsevier, vol. 28(2), pages 297-308.
    7. Bruno Deschamps, 2015. "Are aggregate corporate earnings forecasts unbiased and efficient?," Review of Quantitative Finance and Accounting, Springer, vol. 45(4), pages 803-818, November.
    8. Constantin ANGHELACHE & Mădălina-Gabriela ANGHEL & Ștefan Virgil IACOB & Tudor SAMSON, 2020. "Analysis of the quarterly evolution of the Gross Domestic Product," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(624), A), pages 243-260, Autumn.
    9. Dovern, Jonas & Hartmann, Matthias, 2016. "Forecast Performance, Disagreement, and Heterogeneous Signal-to-Noise Ratios," Working Papers 0611, University of Heidelberg, Department of Economics.
    10. An, Zidong & Zheng, Xinye, 2023. "Diligent forecasters can make accurate predictions despite disagreeing with the consensus," Economic Modelling, Elsevier, vol. 125(C).
    11. Sensoy, Ahmet & Serdengeçti, Süleyman, 2020. "Impact of portfolio flows and heterogeneous expectations on FX jumps: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 68(C).
    12. Rybacki, Jakub, 2020. "Polish GDP Forecast Errors: A Tale of Ineffectiveness," MPRA Paper 98952, University Library of Munich, Germany.
    13. Konstantin A. Kholodilin & Boriss Siliverstovs, 2009. "Do forecasters inform or reassure?," KOF Working papers 09-215, KOF Swiss Economic Institute, ETH Zurich.
    14. Ruttachai Seelajaroen & Pornanong Budsaratragoon & Boonlert Jitmaneeroj, 2020. "Do monetary policy transparency and central bank communication reduce interest rate disagreement?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 368-393, April.
    15. Sheng, Xuguang (Simon), 2015. "Evaluating the economic forecasts of FOMC members," International Journal of Forecasting, Elsevier, vol. 31(1), pages 165-175.
    16. Patton, Andrew J. & Timmermann, Allan, 2010. "Why do forecasters disagree? Lessons from the term structure of cross-sectional dispersion," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 803-820, October.
    17. Conrad, Christian & Lahiri, Kajal, 2024. "Heterogeneous Expectations among Professional Forecasters," Working Papers 0754, University of Heidelberg, Department of Economics.
    18. Gabriel Caldas Montes & Caio Ferrari Ferreira, 2019. "Does monetary policy credibility mitigate the effects of uncertainty about exchange rate on uncertainties about both inflation and interest rate?," International Economics and Economic Policy, Springer, vol. 16(4), pages 649-678, October.
    19. Boonlert Jitmaneeroj & Michael Lamla, 2018. "The Implications of Central Bank Transparency for Uncertainty and Disagreement," KOF Working papers 18-445, KOF Swiss Economic Institute, ETH Zurich.
    20. Lena Dräger & Michael J. Lamla, 2015. "Disagreement à la Taylor: Evidence from Survey Microdata," Macroeconomics and Finance Series 201503, University of Hamburg, Department of Socioeconomics.
    21. Theo S. Eicher & David J. Kuenzel & Mr. Chris Papageorgiou & Mr. Charalambos Christofides, 2018. "Forecasts in Times of Crises," IMF Working Papers 2018/048, International Monetary Fund.
    22. Sheen, Jeffrey & Wang, Ben Zhe, 2021. "Measuring macroeconomic disagreement – A mixed frequency approach," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 547-566.
    23. Sheng, Xuguang (Simon) & Thevenot, Maya, 2015. "Quantifying differential interpretation of public information using financial analysts’ earnings forecasts," International Journal of Forecasting, Elsevier, vol. 31(2), pages 515-530.
    24. Jakub Rybacki, 2021. "Polish GDP forecast errors: a tale of inefficiency," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 123-142.
    25. Jing Tian & Firmin Doko Tchatoka & Thomas Goodwin, 2022. "Are internally consistent forecasts rational?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1338-1355, November.
    26. Pignataro, Giuseppe & Raggi, Davide & Pancotto, Francesca, 2024. "On the role of fundamentals, private signals, and beauty contests to predict exchange rates," International Journal of Forecasting, Elsevier, vol. 40(2), pages 687-705.
    27. Dimitrios Papastamos & George Matysiak & Simon Stevenson, 2014. "A Comparative Analysis of the Accuracy and Uncertainty in Real Estate and Macroeconomic Forecasts," Real Estate & Planning Working Papers rep-wp2014-06, Henley Business School, University of Reading.
    28. Vereda, Luciano & Savignon, João & Gouveia da Silva, Tarciso, 2021. "A new method to assess the degree of information rigidity using fixed-event forecasts," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1576-1589.

  12. Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," ifo Working Paper Series 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Hristov, Nikolay & Roth, Markus, 2019. "Uncertainty shocks and financial crisis indicators," Discussion Papers 36/2019, Deutsche Bundesbank.
    3. Olesya Grishchenko & Sarah Mouabbi & Jean‐Paul Renne, 2019. "Measuring Inflation Anchoring and Uncertainty: A U.S. and Euro Area Comparison," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1053-1096, August.
    4. Jose E. Gomez-Gonzalez & Jorge Hirs-Garzon & Jorge M. Uribe, 2020. "Global effects of US uncertainty: real and financial shocks on real and financial markets," IREA Working Papers 202015, University of Barcelona, Research Institute of Applied Economics, revised Oct 2020.
    5. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    6. Timur Hulagu & Saygin Sahinoz, 2012. "Is Disagreement a Good Proxy for Inflation Uncertainty? Evidence from Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 12(1), pages 53-62.
    7. Constantin Bürgi, 2020. "Expectation Formation and the Persistence of Shocks," Working Papers 2020-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Sep 2020.
    8. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    9. Dick, Christian D. & Schmeling, Maik & Schrimpf, Andreas, 2010. "Macro expectations, aggregate uncertainty, and expected term premia," ZEW Discussion Papers 10-064, ZEW - Leibniz Centre for European Economic Research.
    10. Luca Rossi, 2020. "Indicators of uncertainty: a brief user’s guide," Questioni di Economia e Finanza (Occasional Papers) 564, Bank of Italy, Economic Research and International Relations Area.
    11. Charemza, Wojciech, 2020. "Central banks' voting contest," MPRA Paper 101205, University Library of Munich, Germany.
    12. 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.
    13. Zohar, Osnat, 2024. "Cyclicality of uncertainty and disagreement," Journal of Monetary Economics, Elsevier, vol. 143(C).
    14. M. E. Bontempi & M. Frigeri & R. Golinelli & M. Squadrani, 2019. "Uncertainty, Perception and the Internet," Working Papers wp1134, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. Lahiri, Kajal & Zhao, Yongchen, 2015. "Quantifying survey expectations: A critical review and generalization of the Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 31(1), pages 51-62.
    16. Pfajfar, D. & Zakelj, B., 2012. "Uncertainty and Disagreement in Forecasting Inflation : Evidence from the Laboratory (Revised version of EBC DP 2011-014)," Other publications TiSEM 2b92a09f-918e-4614-978d-0, Tilburg University, School of Economics and Management.
    17. Duygun, Meryem & Hao, Jiaqi & Isaksson, Anders & Sickles, Robin C., 2015. "World Productivity Growth: A Model Averaging Approach," Working Papers 15-011, Rice University, Department of Economics.
    18. Klodiana Istrefi & Sarah Mouabbi, 2017. "Subjective interest rate uncertainty and the macroeconomy : a cross-country analysis," Rue de la Banque, Banque de France, issue 48, september.
    19. Knüppel, Malte & Krüger, Fabian, 2017. "Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168294, Verein für Socialpolitik / German Economic Association.
    20. Driver, Ciaran & Trapani, Lorenzo & Urga, Giovanni, 2013. "On the use of cross-sectional measures of forecast uncertainty," International Journal of Forecasting, Elsevier, vol. 29(3), pages 367-377.
    21. Andrea Fracasso & Angelo Secchi & Chiara Tomasi, 2022. "Export pricing and exchange rate expectations under uncertainty," PSE-Ecole d'économie de Paris (Postprint) halshs-03673148, HAL.
    22. Hartmann, Matthias & Herwartz, Helmut & Ulm, Maren, 2017. "A comparative assessment of alternative ex ante measures of inflation uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 76-89.
    23. Peter Tillmann, 2018. "Monetary Policy Uncertainty and the Response of the Yield Curve to Policy Shocks," GRU Working Paper Series GRU_2018_004, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    24. Galdi, Giulio & Casarin, Roberto & Ferrari, Davide & Fezzi, Carlo & Ravazzolo, Francesco, 2023. "Nowcasting industrial production using linear and non-linear models of electricity demand," Energy Economics, Elsevier, vol. 126(C).
    25. Chini, Emilio Zanetti, 2023. "Can we estimate macroforecasters’ mis-behavior?," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    26. Franses, Ph.H.B.F. & Welz, M., 2020. "Does More Expert Adjustment Associate with Less Accurate Professional Forecasts?," Econometric Institute Research Papers EI-1687, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    27. Svetlana Makarova, 2014. "Risk and Uncertainty: Macroeconomic Perspective," UCL SSEES Economics and Business working paper series 129, UCL School of Slavonic and East European Studies (SSEES).
    28. Constantin Bürgi & Tara M. Sinclair, 2020. "What Does Forecaster Disagreement Tell Us about the State of the Economy?," Working Papers 2020-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    29. Silvija Vlah Jerić & Mihovil Anđelinović, 2019. "Evaluating Croatian stock index forecasts," Empirical Economics, Springer, vol. 56(4), pages 1325-1339, April.
    30. Travis J. Berge & Andrew C. Chang & Nitish R. Sinha, 2019. "Evaluating the Conditionality of Judgmental Forecasts," Finance and Economics Discussion Series 2019-002, Board of Governors of the Federal Reserve System (U.S.).
    31. Robert W. Rich & Joseph Tracy, 2018. "A Closer Look at the Behavior of Uncertainty and Disagreement: Micro Evidence from the Euro Area," Working Papers (Old Series) 1813, Federal Reserve Bank of Cleveland.
    32. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“A geometric approach to proxy economic uncertainty by a metric of disagreement among qualitative expectations”," AQR Working Papers 201803, University of Barcelona, Regional Quantitative Analysis Group, revised Jun 2018.
    33. Martinez, Andrew & Schibuola, Alex, 2021. "The Expectations Gap: An Alternative Measure of Economic Slack," Working Papers 11284, George Mason University, Mercatus Center.
    34. Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2020. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 17-33, March.
    35. Aleksejs Krecetovs & Pasquale Della Corte, 2016. "Macro uncertainty and currency premia," 2016 Meeting Papers 624, Society for Economic Dynamics.
    36. Kajal Lahiri & Yongchen Zhao, 2016. "Determinants of Consumer Sentiment over Business Cycles: Evidence from the U.S. Surveys of Consumers," Working Papers 2016-14, Towson University, Department of Economics, revised Jul 2016.
    37. Sébastien Fries & Jean‐Stéphane Mésonnier & Sarah Mouabbi & Jean‐Paul Renne, 2018. "National natural rates of interest and the single monetary policy in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 763-779, September.
    38. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2016. "Signals from the government: Policy disagreement and the transmission of fiscal shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 107-118.
    39. Nunes, Clemens Vinicius & Doi, Jonas & Fernandes, Marcelo, 2017. "Disagreement in Inflation Forecasts and Inflation Risk Premia in Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 37(1), May.
    40. Benhima, Kenza & Bolliger, Elio, 2022. "Do Local Forecasters Have Better Information?," MPRA Paper 117072, University Library of Munich, Germany, revised Sep 2023.
    41. Yasmeen Bayaa & Mahmoud Qadan, 2024. "Interest rate uncertainty and the shape of the yield curve of U.S. treasury bonds," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(4), pages 981-1003, December.
    42. Ilhan Kilic & Faruk Balli, 2024. "Measuring economic country-specific uncertainty in Türkiye," Empirical Economics, Springer, vol. 67(4), pages 1649-1689, October.
    43. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.
    44. Guido Schultefrankenfeld, 2020. "Appropriate monetary policy and forecast disagreement at the FOMC," Empirical Economics, Springer, vol. 58(1), pages 223-255, January.
    45. Costantini, Mauro & Sousa, Ricardo M., 2022. "What uncertainty does to euro area sovereign bond markets: Flight to safety and flight to quality," Journal of International Money and Finance, Elsevier, vol. 122(C).
    46. Kim, Wongi, 2019. "Government spending policy uncertainty and economic activity: US time series evidence," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    47. Christian Grimme & Steffen Henzel & Elisabeth Wieland, 2014. "Inflation uncertainty revisited: a proposal for robust measurement," Empirical Economics, Springer, vol. 47(4), pages 1497-1523, December.
    48. Joscha Beckmann & Robert L. Czudaj, 2023. "The role of expectations for currency crisis dynamics—The case of the Turkish lira," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 625-642, April.
    49. Marcello Pericoli & Giovanni Veronese, 2015. "Forecaster heterogeneity, surprises and financial markets," Temi di discussione (Economic working papers) 1020, Bank of Italy, Economic Research and International Relations Area.
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Articles

  1. Steven J. Davis & Dingqian Liu & Xuguang Simon Sheng, 2022. "Stock Prices and Economic Activity in the Time of Coronavirus," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(1), pages 32-67, March.
    See citations under working paper version above.
  2. Ferrara, Laurent & Sheng, Xuguang Simon, 2022. "Guest editorial: Economic forecasting in times of COVID-19," International Journal of Forecasting, Elsevier, vol. 38(2), pages 527-528.

    Cited by:

    1. Alina Stundziene & Vaida Pilinkiene & Jurgita Bruneckiene & Andrius Grybauskas & Mantas Lukauskas, 2023. "Nowcasting Economic Activity Using Electricity Market Data: The Case of Lithuania," Economies, MDPI, vol. 11(5), pages 1-21, May.
    2. Liu, Ying & Wen, Long & Liu, Han & Song, Haiyan, 2024. "Predicting tourism recovery from COVID-19: A time-varying perspective," Economic Modelling, Elsevier, vol. 135(C).
    3. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," JRC Working Papers in Economics and Finance 2022-06, Joint Research Centre, European Commission.

  3. Meyer, Brent H. & Prescott, Brian & Sheng, Xuguang Simon, 2022. "The impact of the COVID-19 pandemic on business expectations," International Journal of Forecasting, Elsevier, vol. 38(2), pages 529-544.
    See citations under working paper version above.
  4. Li, Haixi & Sheng, Xuguang Simon & Yang, Jingyun, 2021. "Monitoring recessions: A Bayesian sequential quickest detection method," International Journal of Forecasting, Elsevier, vol. 37(2), pages 500-510.

    Cited by:

    1. Seulki Chung, 2023. "Real-time Prediction of the Great Recession and the Covid-19 Recession," Papers 2310.08536, arXiv.org, revised May 2024.

  5. Sheng, Xuguang Simon & Sukaj, Rubena, 2021. "Identifying external debt shocks in low- and middle-income countries," Journal of International Money and Finance, Elsevier, vol. 110(C).

    Cited by:

    1. Kassouri, Yacouba & Altıntaş, Halil & Alancioğlu, Erdal & Kacou, Kacou Yves Thierry, 2021. "New insights on the debt-growth nexus: A combination of the interactive fixed effects and panel threshold approach," International Economics, Elsevier, vol. 168(C), pages 40-55.
    2. Mohsin, Muhammad & Ullah, Hafeez & Iqbal, Nadeem & Iqbal, Wasim & Taghizadeh-Hesary, Farhad, 2021. "How external debt led to economic growth in South Asia: A policy perspective analysis from quantile regression," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 423-437.
    3. Nusrat Nawshin & Asif Imtiaz & Md. Shamsuddin Sarker, 2024. "Comparative Analysis of Remittance Inflows- International Reserves-External Debt Dyad: Exploring Bangladesh's Economic Resilience in Avoiding Sovereign Default Compared to Sri Lanka," Papers 2410.09594, arXiv.org.

  6. Liu, Yang & Sheng, Xuguang Simon, 2019. "The measurement and transmission of macroeconomic uncertainty: Evidence from the U.S. and BRIC countries," International Journal of Forecasting, Elsevier, vol. 35(3), pages 967-979.

    Cited by:

    1. Tan, Xueping & Zhong, Yiran & Vivian, Andrew & Geng, Yong & Wang, Ziyi & Zhao, Difei, 2024. "Towards an era of multi-source uncertainty: A systematic and bibliometric analysis," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    2. Gillmann, Niels & Kim, Alisa, 2021. "Quantification of Economic Uncertainty: a deep learning approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242421, Verein für Socialpolitik / German Economic Association.
    3. Carola Binder & Tucker S. Mcelroy & Xuguang S. Sheng, 2022. "The Term Structure of Uncertainty: New Evidence from Survey Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(1), pages 39-71, February.
    4. Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
    5. Chada, Swechha, 2023. "Economic policy uncertainties and institutional ownership in India," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    6. Glas, Alexander, 2020. "Five dimensions of the uncertainty–disagreement linkage," International Journal of Forecasting, Elsevier, vol. 36(2), pages 607-627.
    7. Li, Zhenghui & Zhong, Junhao, 2020. "Impact of economic policy uncertainty shocks on China's financial conditions," Finance Research Letters, Elsevier, vol. 35(C).

  7. Ozturk, Ezgi O. & Sheng, Xuguang Simon, 2018. "Measuring global and country-specific uncertainty," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 276-295.
    See citations under working paper version above.
  8. Lan Cheng & Xuguang Simon Sheng, 2017. "Combination of “combinations of p values”," Empirical Economics, Springer, vol. 53(1), pages 329-350, August.
    See citations under working paper version above.
  9. Sheng, Xuguang (Simon), 2015. "Evaluating the economic forecasts of FOMC members," International Journal of Forecasting, Elsevier, vol. 31(1), pages 165-175.

    Cited by:

    1. Arai, Natsuki, 2023. "The FOMC’s new individual economic projections and macroeconomic theories," Journal of Banking & Finance, Elsevier, vol. 151(C).
    2. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
    3. Neil R. Ericsson, 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.).
    4. Luiz Renato Lima & Lucas Lúcio Godeiro & Mohammed Mohsin, 2021. "Time-Varying Dictionary and the Predictive Power of FED Minutes," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 149-181, January.
    5. Natsuki Arai, 2016. "Evaluating the Efficiency of the FOMC's New Economic Projections," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(5), pages 1019-1049, August.
    6. Guido Schultefrankenfeld, 2020. "Appropriate monetary policy and forecast disagreement at the FOMC," Empirical Economics, Springer, vol. 58(1), pages 223-255, January.
    7. Alessandro Riboni & Francisco Ruge-Murcia, 2020. "The Power of the Federal Reserve Chair," Cahiers de recherche 20-2020, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    8. Hamza Bennani, 2016. "Measuring Monetary Policy Stress for Fed District Representatives," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 156-176, May.
    9. 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.
    10. Ellis, Michael A. & Liu, Dandan, 2016. "FOMC forecasts and monetary policy deliberations," Economics Letters, Elsevier, vol. 147(C), pages 131-134.
    11. Thomas L. Hogan, 2022. "The calculus of dissent: Bias and diversity in FOMC projections," Public Choice, Springer, vol. 191(1), pages 105-135, April.
    12. Conrad, Christian & Lahiri, Kajal, 2024. "Heterogeneous Expectations among Professional Forecasters," Working Papers 0754, University of Heidelberg, Department of Economics.
    13. S. Yanki Kalfa & Jaime Marquez, 2019. "FOMC Forecasts: Are They Useful for Understanding Monetary Policy?," JRFM, MDPI, vol. 12(3), pages 1-17, August.
    14. El-Shagi, Makram & Giesen, Sebastian & Jung, Alexander, 2016. "Revisiting the relative forecast performances of Fed staff and private forecasters: A dynamic approach," International Journal of Forecasting, Elsevier, vol. 32(2), pages 313-323.
    15. Stekler, Herman & Symington, Hilary, 2016. "Evaluating qualitative forecasts: The FOMC minutes, 2006–2010," International Journal of Forecasting, Elsevier, vol. 32(2), pages 559-570.
    16. Yoichi Tsuchiya, 2021. "The value added of the Bank of Japan's range forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 817-833, August.
    17. Ines Fortin & Sebastian P. Koch & Klaus Weyerstrass, 2020. "Evaluation of economic forecasts for Austria," Empirical Economics, Springer, vol. 58(1), pages 107-137, January.
    18. Amrendra Pandey & Jagadish Shettigar & Amarnath Bose, 2021. "Evaluation of the Inflation Forecasting Process of the Reserve Bank of India: A Text Analysis Approach," SAGE Open, , vol. 11(3), pages 21582440211, July.

  10. Frieder Mokinski & Xuguang (Simon) Sheng & Jingyun Yang, 2015. "Measuring Disagreement in Qualitative Expectations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(5), pages 405-426, August.

    Cited by:

    1. Oscar Claveria, 2019. "Forecasting the unemployment rate using the degree of agreement in consumer unemployment expectations," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 53(1), pages 1-10, December.
    2. Hartmann, Matthias & Herwartz, Helmut & Ulm, Maren, 2017. "A comparative assessment of alternative ex ante measures of inflation uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 76-89.
    3. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“A geometric approach to proxy economic uncertainty by a metric of disagreement among qualitative expectations”," AQR Working Papers 201803, University of Barcelona, Regional Quantitative Analysis Group, revised Jun 2018.
    4. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 1-14, January.
    5. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”," AQR Working Papers 201706, University of Barcelona, Regional Quantitative Analysis Group, revised May 2017.
    6. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    7. Oscar Claveria, 2020. "Measuring and assessing economic uncertainty," IREA Working Papers 202011, University of Barcelona, Research Institute of Applied Economics, revised Jul 2020.
    8. Pierre L. Siklos, 2017. "What has publishing inflation forecasts accomplished? Central banks and their competitors," CAMA Working Papers 2017-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    9. Petar Soric & Oscar Claveria, 2021. "“Employment uncertainty a year after the irruption of the covid-19 pandemic”," AQR Working Papers 202104, University of Barcelona, Regional Quantitative Analysis Group, revised May 2021.
    10. David Iselin & Andreas Dibiasi, 2019. "Measuring Knightian Uncertainty," KOF Working papers 19-456, KOF Swiss Economic Institute, ETH Zurich.
    11. Alexandros Botsis & Christoph Gortz & Plutarchos Sakellaris, 2023. "Quantifying Qualitative Survey Data: New Insights on the (Ir)Rationality of Firms' Forecasts," Discussion Papers 23-06, Department of Economics, University of Birmingham.
    12. Tomasz Łyziak & Xuguang Simon Sheng, 2023. "Disagreement in Consumer Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2215-2241, December.
    13. Oscar Claveria, 2020. "Business and consumer uncertainty in the face of the pandemic: A sector analysis in European countries," Papers 2012.02091, arXiv.org.
    14. Oscar Claveria & Petar Sorić, 2023. "Labour market uncertainty after the irruption of COVID-19," Empirical Economics, Springer, vol. 64(4), pages 1897-1945, April.
    15. Yongchen Zhao, 2022. "Uncertainty and disagreement of inflation expectations: Evidence from household‐level qualitative survey responses," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 810-828, July.
    16. Alexandros Botsis & Christoph Görtz & Plutarchos Sakellaris, 2024. "Quantifying Qualitative Survey Data with Panel Data Structure," CESifo Working Paper Series 11013, CESifo.
    17. Lena Dräger & Michael J. Lamla, 2015. "Disagreement à la Taylor: Evidence from Survey Microdata," Macroeconomics and Finance Series 201503, University of Hamburg, Department of Socioeconomics.
    18. Oscar Claveria, 2021. "Uncertainty indicators based on expectations of business and consumer surveys," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 483-505, May.
    19. Oscar Claveria, 2021. "On the Aggregation of Survey-Based Economic Uncertainty Indicators Between Different Agents and Across Variables," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 1-26, April.
    20. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers 201801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2018.
    21. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Economic Uncertainty: A Geometric Indicator of Discrepancy Among Experts’ Expectations," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 95-114, May.
    22. Claveria, Oscar, 2022. "Global economic uncertainty and suicide: Worldwide evidence," Social Science & Medicine, Elsevier, vol. 305(C).
    23. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Evolutionary Computation for Macroeconomic Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 833-849, February.
    24. Gaurav Kumar Singh & Tathagata Bandyopadhyay, 2024. "Determinants of disagreement: Learning from inflation expectations survey of households," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 326-343, March.
    25. Oscar Claveria, 2021. "Forecasting with Business and Consumer Survey Data," Forecasting, MDPI, vol. 3(1), pages 1-22, February.
    26. Oscar Claveria, 2021. "Disagreement on expectations: firms versus consumers," SN Business & Economics, Springer, vol. 1(12), pages 1-23, December.

  11. Sheng, Xuguang (Simon) & Thevenot, Maya, 2015. "Quantifying differential interpretation of public information using financial analysts’ earnings forecasts," International Journal of Forecasting, Elsevier, vol. 31(2), pages 515-530.

    Cited by:

    1. Chien-Chi Chu & Kung-Cheng Ho & Chia-Chun Lo & Andreas Karathanasopoulos & I-Ming Jiang, 2019. "Information disclosure, transparency ranking system and firms’ value deviation: evidence from Taiwan," Review of Quantitative Finance and Accounting, Springer, vol. 53(3), pages 721-747, October.
    2. Huang, Chong & Lunawat, Radhika & Wang, Qiguang, 2024. "Disagreement about public information quality and informational price efficiency," Journal of Financial Economics, Elsevier, vol. 152(C).
    3. Weiqi Zhang & Huong Ha & Hui Ting Evelyn Gay, 2020. "Analysts’ forecasts between last consensus and earning announcement date," Journal of Financial Reporting and Accounting, Emerald Group Publishing Limited, vol. 18(4), pages 779-793, November.
    4. Schreder, Max, 2018. "Idiosyncratic information and the cost of equity capital: A meta-analytic review of the literature," Journal of Accounting Literature, Elsevier, vol. 41(C), pages 142-172.

  12. Xuguang Sheng & Jingyun Yang, 2013. "Truncated Product Methods for Panel Unit Root Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(4), pages 624-636, August.
    See citations under working paper version above.
  13. Sheng, Xuguang & Yang, Jingyun, 2013. "An adaptive truncated product method for combining dependent p-values," Economics Letters, Elsevier, vol. 119(2), pages 180-182.

    Cited by:

    1. Xiaqiong Wang & Yalu Wen, 2020. "A Systematic Comparison of Methods Designed for Association Analysis with Multi-Omics Data," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 10(2), pages 30-40, August.

  14. Sheng, Xuguang & Thevenot, Maya, 2012. "A new measure of earnings forecast uncertainty," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 21-33.

    Cited by:

    1. Tsang, Albert & Xiang, Yi & Yu, Li, 2023. "Cross-border regulatory cooperation and analyst forecasts," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Han, Jianlei & Pan, Zheyao & Zhang, Guangli, 2017. "Divergence of opinion and long-run performance of private placements: evidence from the auction market," Working Papers 2017-09, University of Tasmania, Tasmanian School of Business and Economics.
    3. Christopher von Koch & Ola Nilsson & Micael Jonsson & Andreas Jansson, 2014. "An Empirical Study of the Method Effect in Analysing the Adoption of IFRS," Accounting and Finance Research, Sciedu Press, vol. 3(2), pages 153-153, May.
    4. Xuguang Sheng & Orie Barron & Maya Thevenot, 2012. "Information Environment and the Cost of Capital: A New Approach," Working Papers 2012-12, American University, Department of Economics.
    5. Cristi Gleason & Zhejia Ling & Rong Zhao, 2020. "Selective disclosure and the role of Form 8‐K in the post‐Reg FD era," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(3-4), pages 365-396, March.
    6. Bert De Bruijn & Philip Hans Franses, 2018. "How Informative Are Earnings Forecasts? †," JRFM, MDPI, vol. 11(3), pages 1-20, July.
    7. Clarence Goh, 2024. "Analysts’ Earnings per Share Forecasts: The Effects of Forecast Uncertainty and Forecast Precision on Investor Judgements," Abacus, Accounting Foundation, University of Sydney, vol. 60(1), pages 172-204, March.
    8. Bert de Bruijn & Philip Hans Franses, 2015. "How Informative are the Unpredictable Components of Earnings Forecasts?," Tinbergen Institute Discussion Papers 15-032/III, Tinbergen Institute.
    9. Bert de Bruijn & Philip Hans Franses, 2013. "Forecasting Earnings Forecasts," Tinbergen Institute Discussion Papers 13-121/III, Tinbergen Institute.
    10. Sam Han & Justin Yiqiang Jin & Tony Kang & Gerald Lobo, 2014. "Managerial Ownership and Financial Analysts’ Information Environment," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 41(3-4), pages 328-362, April.
    11. Xuguang Sheng & Maya Thevenot, 2013. "Differential Interpretation of Public Information: Estimation and Inference," Working Papers 2013-03, American University, Department of Economics.
    12. Sheng, Xuguang (Simon) & Thevenot, Maya, 2015. "Quantifying differential interpretation of public information using financial analysts’ earnings forecasts," International Journal of Forecasting, Elsevier, vol. 31(2), pages 515-530.
    13. Schaberl, Philipp D., 2014. "The influence of disclosure policy on analyst behavior: The case of segment data," Advances in accounting, Elsevier, vol. 30(2), pages 440-451.
    14. Sanjay W. Bissessur & David Veenman, 2016. "Analyst information precision and small earnings surprises," Review of Accounting Studies, Springer, vol. 21(4), pages 1327-1360, December.
    15. Orie Barron & Xuguang Sheng & Maya Thevenot, 2013. "Information Environment and The Cost of Capital," Working Papers 2013-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    16. Bert de Bruijn & Philip Hans Franses, 2012. "What drives the Quotes of Earnings Forecasters?," Tinbergen Institute Discussion Papers 12-067/4, Tinbergen Institute.

  15. 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.
    See citations under working paper version above.
  16. 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.
    See citations under working paper version above.
  17. Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.

    Cited by:

    1. 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.
    2. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    3. 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.
    4. Maiko Koga & Haruko Kato, 2017. "Behavioral Biases in Firms' Growth Expectations," Bank of Japan Working Paper Series 17-E-9, Bank of Japan.
    5. Clements, Michael P., 2014. "Probability distributions or point predictions? Survey forecasts of US output growth and inflation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 99-117.
    6. 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.
    7. Kenneth J. Singleton, 2021. "Presidential Address: How Much “Rationality” Is There in Bond‐Market Risk Premiums?," Journal of Finance, American Finance Association, vol. 76(4), pages 1611-1654, August.
    8. Fiechter, Chad & Kuethe, Todd & Zhang, Wendong, 2023. "Information Rigidities and Farmland Value Expectations," ISU General Staff Papers 202306131414240000, Iowa State University, Department of Economics.
    9. Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," ifo Working Paper Series 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    10. de Mendonça, Helder Ferreira & Vereda, Luciano & Araujo, Mateus de Azevedo, 2022. "What type of information calls the attention of forecasters? Evidence from survey data in an emerging market," Journal of International Money and Finance, Elsevier, vol. 129(C).
    11. Cao, Shuo & Crump, Richard K. & ,, 2020. "Fundamental Disagreement about Monetary Policy and the Term Structure of Interest Rates," CEPR Discussion Papers 15122, C.E.P.R. Discussion Papers.
    12. Chen, Qiwei & Costantini, Mauro & Deschamps, Bruno, 2016. "How accurate are professional forecasts in Asia? Evidence from ten countries," International Journal of Forecasting, Elsevier, vol. 32(1), pages 154-167.
    13. 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.
    14. 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. 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.
    16. Song, ChiUng & Boulier, Bryan L. & Stekler, Herman O., 2009. "Measuring consensus in binary forecasts: NFL game predictions," International Journal of Forecasting, Elsevier, vol. 25(1), pages 182-191.
    17. Alice Hsiaw & Ing-Haw Cheng, 2016. "Distrust in Experts and the Origins of Disagreement," Working Papers 110R3, Brandeis University, Department of Economics and International Business School, revised Mar 2018.
    18. Rahul Deb & Mallesh M. Pai & Maher Said, 2017. "Evaluating Strategic Forecasters," Working Papers 17-02, New York University, Leonard N. Stern School of Business, Department of Economics.
    19. Pierre L Siklos, 2013. "Forecast disagreement and the anchoring of inflation expectations in the Asia-Pacific Region," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 25-40, Bank for International Settlements.
    20. Reslow, André, 2019. "Inefficient Use of Competitors’ Forecasts?," Working Paper Series 2019:9, Uppsala University, Department of Economics.
    21. 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.
    22. Kajal Lahiri & Yongchen Zhao, 2016. "Determinants of Consumer Sentiment over Business Cycles: Evidence from the U.S. Surveys of Consumers," Working Papers 2016-14, Towson University, Department of Economics, revised Jul 2016.
    23. Clements, Michael P., 2012. "Do professional forecasters pay attention to data releases?," International Journal of Forecasting, Elsevier, vol. 28(2), pages 297-308.
    24. Sebastiano Manzan, 2011. "Differential Interpretation in the Survey of Professional Forecasters," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(5), pages 993-1017, August.
    25. Monique Reid & Pierre Siklos, 2024. "Firm level expectations and macroeconomic conditions underpinnings and disagreement," Working Papers 11058, South African Reserve Bank.
    26. Michael J. Lamla & Thomas Maag, 2012. "The Role of Media for Inflation Forecast Disagreement of Households and Professional Forecasters," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1325-1350, October.
    27. Paul Hubert, 2014. "FOMC Forecasts as a Focal Point for Private Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1381-1420, October.
    28. Clements, Michael P., 2012. "Subjective and Ex Post Forecast Uncertainty: US Inflation and Output Growth," Economic Research Papers 270629, University of Warwick - Department of Economics.
    29. Pierre L. Siklos, 2016. "Forecast Disagreement and the Inflation Outlook: New International Evidence," IMES Discussion Paper Series 16-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
    30. Philippe Andrade & Richard K. Crump & Stefano Eusepi & Emanuel Moench, 2013. "Fundamental disagreement," Staff Reports 655, Federal Reserve Bank of New York.
    31. Gabriel Caldas Montes & Tatiana Acar, 2018. "Fiscal credibility and disagreement in expectations about inflation: evidence for Brazil," Economics Bulletin, AccessEcon, vol. 38(2), pages 826-843.
    32. Glas, Alexander & Hartmann, Matthias, 2016. "Inflation uncertainty, disagreement and monetary policy: Evidence from the ECB Survey of Professional Forecasters," VfS Annual Conference 2016 (Augsburg): Demographic Change 145888, Verein für Socialpolitik / German Economic Association.
    33. Ding Dong & Zheng Liu & Pengfei Wang & Min Wei, 2024. "Inflation Disagreement Weakens the Power of Monetary Policy," Finance and Economics Discussion Series 2024-094, Board of Governors of the Federal Reserve System (U.S.).
    34. Dovern, Jonas & Hartmann, Matthias, 2016. "Forecast Performance, Disagreement, and Heterogeneous Signal-to-Noise Ratios," Working Papers 0611, University of Heidelberg, Department of Economics.
    35. Michael P. Clements, 2020. "Individual Forecaster Perceptions of the Persistence of Shocks to GDP," ICMA Centre Discussion Papers in Finance icma-dp2020-02, Henley Business School, University of Reading.
    36. Fernandes, Cecilia Melo, 2021. "ECB communication as a stabilization and coordination device: evidence from ex-ante inflation uncertainty," Working Paper Series 2582, European Central Bank.
    37. An, Zidong & Zheng, Xinye, 2023. "Diligent forecasters can make accurate predictions despite disagreeing with the consensus," Economic Modelling, Elsevier, vol. 125(C).
    38. Constantin Burgi, 2016. "What Do We Lose When We Average Expectations?," Working Papers 2016-013, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    39. Jia, Pengfei & Shen, Haopeng & Zheng, Shikun, 2023. "Monetary policy rules and opinionated markets," Economics Letters, Elsevier, vol. 223(C).
    40. Eleonora Granziera & Pirkka Jalasjoki & Maritta Paloviita, 2021. "The Bias and Efficiency of the ECB Inflation Projections: a State Dependent Analysis," Working Paper 2021/1, Norges Bank.
    41. Pierre L. Siklos, 2017. "What has publishing inflation forecasts accomplished? Central banks and their competitors," CAMA Working Papers 2017-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    42. Manzan, Sebastiano, 2021. "Are professional forecasters Bayesian?," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
    43. 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, University of Reading.
    44. Alia Gizatulina, 2013. "Wondering How Others Interpret It: Social Value of Public Information," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2013_08, Max Planck Institute for Research on Collective Goods.
    45. An, Zidong & Sheng, Xuguang Simon & Zheng, Xinye, 2023. "What is the role of perceived oil price shocks in inflation expectations?," Energy Economics, Elsevier, vol. 126(C).
    46. Andrade, P. & Ghysels, E. & Idier, J., 2012. "Tails of Inflation Forecasts and Tales of Monetary Policy," Working papers 407, Banque de France.
    47. Siklos, Pierre L., 2013. "Sources of disagreement in inflation forecasts: An international empirical investigation," Journal of International Economics, Elsevier, vol. 90(1), pages 218-231.
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