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Evolution of forecast disagreement in a Bayesian learning model. (2008). Sheng, Xuguang ; Lahiri, Kajal.
In: Journal of Econometrics.
RePEc:eee:econom:v:144:y:2008:i:2:p:325-340.

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  2. On the role of fundamentals, private signals, and beauty contests to predict exchange rates. (2024). Pancotto, Francesca ; Raggi, Davide ; Pignataro, Giuseppe.
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  4. Disagreement in Consumer Inflation Expectations. (2023). Sheng, Xuguang Simon ; Yziak, Tomasz.
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  6. Raiders of the lost high?frequency forecasts: New data and evidence on the efficiency of the Feds forecasting. (2023). Levinson, Trace J ; Chang, Andrew C.
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  7. Information Rigidities and Farmland Value Expectations. (2023). Zhang, Wendong ; Kuethe, Todd ; Fiechter, Chad.
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  9. Do monetary condition news at the zero lower bound influence households’ expectations and readiness to spend?. (2023). Wang, Ben Zhe ; Sheen, Jeffrey.
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  10. Monetary policy rules and opinionated markets. (2023). Jia, Pengfei ; Zheng, Shikun ; Shen, Haopeng.
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  14. The Term Structure of Uncertainty: New Evidence from Survey Expectations. (2022). Sheng, Xuguang S ; McElroy, Tucker S ; Binder, Carola.
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  17. What type of information calls the attention of forecasters? Evidence from survey data in an emerging market. (2022). de Azevedo, Mateus ; Vereda, Luciano ; de Mendona, Helder Ferreira.
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  25. Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity. (2021). Lahiri, Kajal ; Sheng, Xuguang Simon ; Peng, Huaming.
    In: Working Papers.
    RePEc:gwc:wpaper:2021-005.

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  26. The Term Structure of Expectations. (2021). Moench, Emanuel ; Eusepi, Stefano ; Crump, Richard ; Preston, Bruce.
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  27. Do survey joiners and leavers differ from regular participants? The US SPF GDP growth and inflation forecasts. (2021). Clements, Michael.
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    RePEc:eee:intfor:v:37:y:2021:i:2:p:634-646.

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  28. Are professional forecasters Bayesian?. (2021). Manzan, Sebastiano.
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    RePEc:eee:dyncon:v:123:y:2021:i:c:s016518892030213x.

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  29. ECB communication as a stabilization and coordination device: evidence from ex-ante inflation uncertainty. (2021). Fernandes, Cecilia Melo.
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  31. The Bias and Efficiency of the ECB Inflation Projections: a State Dependent Analysis. (2021). Jalasjoki, Pirkka ; Granziera, Eleonora ; Paloviita, Maritta.
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  32. Presidential Address: How Much “Rationality” Is There in Bond?Market Risk Premiums?. (2021). Singleton, Kenneth J.
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    RePEc:wly:jforec:v:39:y:2020:i:6:p:927-933.

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  34. Expectation Formation Following Large, Unexpected Shocks. (2020). McElroy, Tucker ; Baker, Scott ; Sheng, Xuguang S.
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    RePEc:tpr:restat:v:102:y:2020:i:2:p:287-303.

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  35. Uncertainty measures from partially rounded probabilistic forecast surveys. (2020). Hartmann, Matthias ; Glas, Alexander.
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  36. Fundamental Disagreement about Monetary Policy and the Term Structure of Interest Rates. (2020). Moench, Emanuel ; Eusepi, Stefano ; Crump, Richard ; Cao, Shuo.
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  37. Fiscal credibility, target revisions and disagreement in expectations about fiscal results. (2020). Acar, Tatiana ; Montes, Gabriel Caldas.
    In: The Quarterly Review of Economics and Finance.
    RePEc:eee:quaeco:v:76:y:2020:i:c:p:38-58.

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  38. Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity. (2020). Sheng, Xuguang ; Peng, Huaming ; Lahiri, Kajal.
    In: CESifo Working Paper Series.
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  39. Does monetary policy credibility mitigate the effects of uncertainty about exchange rate on uncertainties about both inflation and interest rate?. (2019). Montes, Gabriel ; Ferreira, Caio Ferrari.
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  40. Inefficient Use of Competitors’ Forecasts?. (2019). Reslow, André.
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  41. Inefficient Use of CompetitorsForecasts?. (2019). Reslow, Andre.
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    In: International Journal of Forecasting.
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  44. Evaluating Strategic Forecasters. (2018). Said, Maher ; Deb, Rahul ; Pai, Mallesh M.
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  45. How do zero-coupon inflation swaps predict inflation rates in the euro area? Evidence of efficiency and accuracy on 1-year contracts. (2018). Curto, Jose Dias ; Ribeiro, Pedro Pires.
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    RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-017-1228-3.

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  54. Forecast performance, disagreement, and heterogeneous signal-to-noise ratios. (2017). Hartmann, Matthias ; Dovern, Jonas.
    In: Empirical Economics.
    RePEc:spr:empeco:v:53:y:2017:i:1:d:10.1007_s00181-016-1137-x.

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  55. Do forecasters target first or later releases of national accounts data?. (2017). Clements, Michael.
    In: ICMA Centre Discussion Papers in Finance.
    RePEc:rdg:icmadp:icma-dp2017-03.

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  58. Inflation uncertainty, disagreement and monetary policy: Evidence from the ECB Survey of Professional Forecasters. (2016). Hartmann, Matthias ; Glas, Alexander.
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  59. Determinants of Consumer Sentiment over Business Cycles: Evidence from the U.S. Surveys of Consumers. (2016). Zhao, Yongchen ; Lahiri, Kajal.
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  60. Determinants of Consumer Sentiment Over Business Cycles: Evidence from the US Surveys of Consumers. (2016). Zhao, Yongchen ; Lahiri, Kajal.
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  61. Are Macro-Forecasters Essentially The Same? An Analysis of Disagreement, Accuracy and Efficiency. (2016). Clements, Michael.
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  62. Forecast Disagreement and the Inflation Outlook: New International Evidence. (2016). Siklos, Pierre.
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    RePEc:ime:imedps:16-e-03.

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  63. Central Bank Transparency and the consensus forecast: What does The Economist poll of forecasters tell us?. (2016). trabelsi, emna.
    In: Post-Print.
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  64. What Do We Lose When We Average Expectations?. (2016). Bürgi, Constantin ; Bürgi, Constantin ; Bürgi, Constantin ; Burgi, Constantin .
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  65. Models, inattention and expectation updates. (2016). Skreta, Vasiliki ; Turen, Javier ; Giacomini, Raffaella.
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  66. Central bank transparency and the consensus forecast: What does The Economist poll of forecasters tell us?. (2016). trabelsi, emna.
    In: Research in International Business and Finance.
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  67. Fundamental disagreement. (2016). Moench, Emanuel ; Crump, Richard ; Andrade, Philippe ; Eusepi, Stefano.
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  68. Disagreement versus uncertainty: Evidence from distribution forecasts. (2016). Nolte, Ingmar ; Kruger, Fabian.
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  69. How accurate are professional forecasts in Asia? Evidence from ten countries. (2016). Deschamps, Bruno ; Costantini, Mauro ; Chen, Qiwei.
    In: International Journal of Forecasting.
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  70. Inflation uncertainty, disagreement and monetary policy: Evidence from the ECB Survey of Professional Forecasters. (2016). Glas, Alexander ; Hartmann, Matthias .
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  71. ¿Están ancladas las expectativas de inflación en Colombia?. (2016). Melo-Velandia, Luis ; González-Molano, Eliana ; Gamba, Santiago ; Gonzalez, Eliana Rocio ; Santamaria, Santiago Gamba .
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  72. Inflation uncertainty, disagreement and monetary policy: Evidence from the ECB Survey of Professional Forecasters. (2016). Glas, Alexander ; Hartmann, Matthias .
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  73. Forecast Performance, Disagreement, and Heterogeneous Signal-to-Noise Ratios. (2016). Dovern, Jonas ; Hartmann, Matthias .
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  75. Disagreement à la Taylor: Evidence from Survey Microdata. (2015). Lamla, Michael ; Dräger, Lena ; Drager, Lena.
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  76. What can we learn from revisions to the Greenbook forecasts?. (2015). Stekler, Herman ; Sinclair, Tara ; Messina, Jeffrey D.
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  77. What affects the predictions of private forecasters? The role of central bank forecasts in Chile. (2015). Pedersen, Michael.
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  78. Quantifying differential interpretation of public information using financial analysts’ earnings forecasts. (2015). Sheng, Xuguang ; Thevenot, Maya .
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  79. Evaluating the economic forecasts of FOMC members. (2015). Sheng, Xuguang.
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  80. Information rigidities: Comparing average and individual forecasts for a large international panel. (2015). Tamirisa, Natalia ; Loungani, Prakash ; Fritsche, Ulrich ; Dovern, Jonas.
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  81. Assessing the accuracy and dispersion of real estate investment forecasts. (2015). Papastamos, Dimitrios ; Stevenson, Simon ; Matysiak, George .
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  82. A multivariate analysis of forecast disagreement: Confronting models of disagreement with survey data. (2015). Dovern, Jonas.
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  83. Models, Inattention and Expectation Updates. (2015). Skreta, Vasiliki ; Giacomini, Raffaella ; Turen, Javier.
    In: CEPR Discussion Papers.
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  84. Models, Inattention and Expectation Updates. (2015). Skreta, Vasiliki ; Giacomini, Raffaella ; Turen, Javier.
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  85. Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity. (2015). Sheng, Xuguang ; Peng, Huaming ; Lahiri, Kajal.
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  86. FOMC Forecasts as a Focal Point for Private Expectations. (2014). Hubert, Paul.
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  87. Noisy Information and Fundamental Disagreement. (2014). Moench, Emanuel ; Crump, Richard ; Andrade, Philippe ; Eusepi, Stefano.
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  88. Does one word fit all? The asymmetric effects of central banks communication policy. (2014). .
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  89. Information Rigidities; Comparing Average and Individual Forecasts for a Large International Panel. (2014). Loungani, Prakash ; Fritsche, Ulrich ; Dovern, Jonas ; Tamirisa, Natalia T.
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  90. What Can We Learn From Revisions to the Greenbook Forecasts?. (2014). Stekler, Herman ; Sinclair, Tara ; Messina, Jeff .
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  91. WHAT CAN WE LEARN FROM REVISIONS TO THE GREENBOOK FORECASTS?. (2014). Stekler, Herman ; Sinclair, Tara ; Messina, Jeff .
    In: Working Papers.
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  92. INFORMATION RIGIDITIES: COMPARING AVERAGE AND INDIVIDUAL FORECASTS FOR A LARGE INTERNATIONAL PANEL. (2014). Tamirisa, Natalia ; Loungani, Prakash ; Fritsche, Ulrich ; Dovern, Jonas.
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  93. Fundamental disagreement. (2014). Moench, Emanuel ; Eusepi, Stefano ; Crump, Richard ; Andrade, Philippe.
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  94. Forecast revisions of Mexican inflation and GDP growth. (2014). Capistrán, Carlos ; Capistran, Carlos ; Lopez-Moctezuma, Gabriel .
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  95. Probability distributions or point predictions? Survey forecasts of US output growth and inflation. (2014). Clements, Michael.
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  96. The Efficiency of Multivariate Macroeconomic Forecasts. (2014). Deschamps, Bruno ; Ioannidis, Christos.
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  98. How anchored are inflation expectations in Asia? Evidence from surveys of professional forecasters. (2014). Mehrotra, Aaron ; Yetman, James.
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    Full description at Econpapers || Download paper

  25. Common Learning. (2006). Mailath, George ; Ely, Jeffrey ; Cripps, Martin ; Samuelson, Larry.
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