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Fabio Milani

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Fabio Milani, 2021. "COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 223-252, January.

    Mentioned in:

    1. Chris Sampson’s journal round-up for 23rd November 2020
      by Chris Sampson in The Academic Health Economists' Blog on 2020-11-23 12:00:14

Working papers

  1. Greta Meggiorini & Fabio Milani, 2021. "Behavioral New Keynesian Models: Learning vs. Cognitive Discounting," CESifo Working Paper Series 9039, CESifo.

    Cited by:

    1. Guido Ascari & Sophocles Mavroeidis & Nigel McClung, 2023. "Coherence without Rationality at the ZLB," Working Papers 784, DNB.
    2. Dobrew, Michael & Gerke, Rafael & Kienzler, Daniel & Schwemmer, Alexander, 2023. "Monetary policy rules under bounded rationality," Discussion Papers 18/2023, Deutsche Bundesbank.
    3. Meggiorini, Greta, 2023. "Behavioral New Keynesian Models: An empirical assessment," Journal of Macroeconomics, Elsevier, vol. 77(C).

  2. Stephen J. Cole & Fabio Milani, 2020. "Heterogeneity in Individual Expectations, Sentiment, and Constant-Gain Learning," CESifo Working Paper Series 8343, CESifo.

    Cited by:

    1. Francisco Ilabaca & Fabio Milani, 2020. "Heterogeneous Expectations, Indeterminacy, and Postwar US Business Cycles," CESifo Working Paper Series 8224, CESifo.
    2. Tanin, Tauhidul Islam & Sarker, Ashutosh & Hammoudeh, Shawkat & Shahbaz, Muhammad, 2021. "Do volatility indices diminish gold's appeal as a safe haven to investors before and during the COVID-19 pandemic?," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 214-235.
    3. Evans, David & Evans, George W. & McGough, Bruce, 2022. "The RPEs of RBCs and other DSGEs," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).

  3. Francisco Ilabaca & Fabio Milani, 2020. "Heterogeneous Expectations, Indeterminacy, and Postwar US Business Cycles," CESifo Working Paper Series 8224, CESifo.

    Cited by:

    1. Nils Gornemann & Sebastian Hildebrand & Keith Kuester, 2022. "Limited Energy Supply, Sunspots, and Monetary Policy," ECONtribute Discussion Papers Series 215, University of Bonn and University of Cologne, Germany.
    2. Gasteiger, Emanuel, 2021. "Optimal constrained interest-rate rules under heterogeneous expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 287-325.
    3. Sorge, Marco M., 2021. "Stabilizing Taylor rules and determinacy under unit root supply shocks: A re-examination," Journal of Macroeconomics, Elsevier, vol. 68(C).

  4. Fabio Milani, 2020. "Covid-19 Outbreak, Social Response, and Early Economic Effects: A Global VAR Analysis of Cross-Country Interdependencies," CESifo Working Paper Series 8518, CESifo.

    Cited by:

    1. Chapa Cantú, Joana Cecilia & Saldaña Villanueva, Carlos Emmanuel & Luna Domínguez, Edgar Mauricio, 2023. "“Stay at home (if you can)”: informal employment and COVID-19 in Mexico," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 15(1), pages 135-155, January.
    2. Ainaa, Carmen & Brunetti, Irene & Mussida, Chiara & Scicchitano, Sergio, 2021. "Who lost the most? Distributive effects of COVID-19 pandemic," GLO Discussion Paper Series 829, Global Labor Organization (GLO).
    3. Isaure Delaporte & Julia Escobar & Werner Peña, 2021. "The distributional consequences of social distancing on poverty and labour income inequality in Latin America and the Caribbean," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1385-1443, October.
    4. Papaioannou, Sotiris K., 2023. "ICT and economic resilience: Evidence from the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 128(C).
    5. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline van den Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2020. "Socio-Demographic Factors Associated with Self-Protecting Behavior during the Covid-19 Pandemic," NBER Working Papers 27378, National Bureau of Economic Research, Inc.
    6. Graeber, Daniel & Kritikos, Alexander S. & Seebauer, Johannes, 2021. "COVID-19: a crisis of the female self-employed," GLO Discussion Paper Series 788, Global Labor Organization (GLO).
    7. Bonacini, Luca & Gallo, Giovanni & Patriarca, Fabrizio, 2020. "Identifying policy challenges of COVID-19 in hardly reliable data and judging the success of lockdown measures," GLO Discussion Paper Series 534 [pre.], Global Labor Organization (GLO).
    8. Giang Nguyen & My Nguyen & Anh Viet Pham & Man Duy Marty Pham, 2023. "Navigating investment decisions with social connectedness : Implications for venture capital," Post-Print hal-04325756, HAL.
    9. Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi & Alessandro Rebucci, 2020. "A Counterfactual Economic Analysis of Covid-19 Using a Threshold Augmented Multi-Country Model," NBER Working Papers 27855, National Bureau of Economic Research, Inc.
    10. Fraser, Timothy & Aldrich, Daniel P. & Page-Tan, Courtney, 2021. "Bowling alone or distancing together? The role of social capital in excess death rates from COVID19," Social Science & Medicine, Elsevier, vol. 284(C).
    11. 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).
    12. Boto-García, David, 2023. "Investigating the two-way relationship between mobility flows and COVID-19 cases," Economic Modelling, Elsevier, vol. 118(C).
    13. Eiji Yamamura & Yoshiro Tsutsui, 2021. "Impact of closing schools on mental health during the COVID-19 pandemic: Evidence using panel data from Japan," Papers 2101.08476, arXiv.org.
    14. Theresa Kuchler & Johannes Stroebel, 2020. "Social Finance," NBER Working Papers 27973, National Bureau of Economic Research, Inc.
    15. Chakraborty, Tanika & Mukherjee, Anirban, 2022. "Economic geography of contagion: A study on Covid-19 outbreak in India," GLO Discussion Paper Series 1028, Global Labor Organization (GLO).
    16. Andreas Diemer & Tanner Regan, 2020. "No inventor is an island: social connectedness and the geography of knowledge flows in the US," CEP Discussion Papers dp1731, Centre for Economic Performance, LSE.
    17. Dergiades, Theologos & Milas, Costas & Panagiotidis, Theodore, 2022. "Unemployment claims during COVID-19 and economic support measures in the U.S," Economic Modelling, Elsevier, vol. 113(C).
    18. Muzi,Silvia & Jolevski,Filip & Ueda,Kohei & Viganola,Domenico, 2021. "Productivity and Firm Exit during the COVID-19 Crisis : Cross-Country Evidence," Policy Research Working Paper Series 9671, The World Bank.
    19. Antoine Tonnoir & Ioana Ciotir & Adrian-Liviu Scutariu & Octavian Dospinescu, 2021. "A Model for the Optimal Investment Strategy in the Context of Pandemic Regional Lockdown," Mathematics, MDPI, vol. 9(9), pages 1-12, May.
    20. Hippolyte d'Albis & Emmanuelle Augeraud-Véron & Dramane Coulibaly & Rodolphe Desbordes, 2023. "Covid-19 and mobility: determinant or consequence?," PSE-Ecole d'économie de Paris (Postprint) halshs-04331269, HAL.
    21. Mortaza Baky Haskuee & Ali Asgary, 2023. "Environmental risk of Covid-19 recovery," Energy & Environment, , vol. 34(7), pages 2758-2774, November.
    22. Michal Burzynski & Joël Machado & Atte Aalto & Michel Beine & Tom Haas & Françoise Kemp & Stefano Magni & Laurent Mombaerts & Pierre Picard & Daniele Proverbio & Alexander Skupin & Frédéric Docquier, 2020. "COVID-19 Crisis Management in Luxembourg: Insights from an Epidemionomic Approach," LISER Working Paper Series 2020-08, Luxembourg Institute of Socio-Economic Research (LISER).
    23. Depalo, Domenico, 2020. "True Covid-19 mortality rates from administrative data," GLO Discussion Paper Series 630, Global Labor Organization (GLO).
    24. 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.
    25. Matheus Pereira Libório & Petr Iakovlevitch Ekel & Carlos Augusto Paiva Martins, 2023. "Economic analysis through alternative data and big data techniques: what do they tell about Brazil?," SN Business & Economics, Springer, vol. 3(1), pages 1-16, January.
    26. Zubarev, Andrei & Kirillova, Maria, 2022. "Modeling COVID-19 spread in the Russian Federation using global VAR approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 117-138.
    27. Mauro Caselli & Andrea Fracasso & Sergio Scicchitano, 2020. "From the lockdown to the new normal: An analysis of the limitations to individual mobility in Italy following the Covid-19 crisis," Discussion Paper series in Regional Science & Economic Geography 2020-07, Gran Sasso Science Institute, Social Sciences, revised Oct 2020.
    28. Maxim Ananyev & Michael Poyker & Yuan Tian, 2020. "The safest time to fly: Pandemic response in the era of Fox News," Discussion Papers 2020-03, Nottingham Interdisciplinary Centre for Economic and Political Research (NICEP).
    29. Nguyen, Giang & Nguyen, My & Pham, Anh Viet & Pham, Man Duy (Marty), 2023. "Navigating investment decisions with social connectedness: Implications for venture capital," Journal of Banking & Finance, Elsevier, vol. 155(C).
    30. Dragomirescu-Gaina, Catalin, 2021. "Facing an unfortunate trade-off: policy responses, lessons and spill-overs during the COVID-19 pandemic," Economics & Human Biology, Elsevier, vol. 43(C).
    31. Louafi Bouzouina & Karima Kourtit & Peter Nijkamp, 2022. "Impact of immobility and mobility activities on the spread of COVID‐19: Evidence from European countries," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S1), pages 6-20, November.
    32. Eiji Yamamura & Yoshiro Tsustsui, 2021. "School closures and mental health during the COVID-19 pandemic in Japan," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1261-1298, October.
    33. Nurgun Kul Parlak & Ayse Nur Ciftci, 2022. "Pandeminin Kayit Disi Istihdami Dislama Etkisi: Turkiye’de Formel-Enformel Emek Piyasalarindaki Ayrisma," Journal of Social Policy Conferences, Istanbul University, Faculty of Economics, vol. 0(82), pages 93-135, June.
    34. Ferdi Botha & John P. New & Sonja C. New & David C. Ribar & Nicolás Salamanca, 2021. "Implications of COVID-19 labour market shocks for inequality in financial wellbeing," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 655-689, April.
    35. 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).
    36. Antonietta Cosentino & Paola Paoloni, 2021. "Women’s Skills and Aptitudes as Drivers of Organizational Resilience: An Italian Case Study," Administrative Sciences, MDPI, vol. 11(4), pages 1-18, November.
    37. Tanika Chakraborty & Anirban Mukherjee, 2023. "Economic geography of contagion: a study of COVID-19 outbreak in India," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 779-811, April.
    38. Okafor, Luke & Yan, Eric, 2022. "Covid-19 vaccines, rules, deaths, and tourism recovery," Annals of Tourism Research, Elsevier, vol. 95(C).
    39. Francesco Paolo Conteduca & Alessandro Borin, 2022. "A New Dataset for Local and National COVID-19-Related Restrictions in Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(2), pages 435-470, July.
    40. 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.
    41. Zubarev, Andrey & Kirillova, Maria, 2022. "Оценивание Влияния Внешних Шоков На Российскую Экономику С Помощью Модели Gvar [Estimating the impact of external shocks on Russian economy: GVAR approach]," MPRA Paper 113762, University Library of Munich, Germany, revised 01 Jul 2022.
    42. Simionescu, Mihaela & Cifuentes-Faura, Javier, 2022. "Can unemployment forecasts based on Google Trends help government design better policies? An investigation based on Spain and Portugal," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 1-21.
    43. Jian Zhou & Chuhan Wang & Xinyu Zhang & Shuang Wang, 2022. "Public Health System and Socio-Economic Development Coupling Based on Systematic Theory: Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-14, October.
    44. Feng, Qu & Wu, Guiying Laura & Yuan, Mengying & Zhou, Shihao, 2022. "Save lives or save livelihoods? A cross-country analysis of COVID-19 pandemic and economic growth," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 221-256.
    45. Zubarev, Andrey & Kirillova, Maria, 2021. "Эконометрическая Оценка Влияния Шоков На Рынке Нефти На Макроэкономические Показатели Российской Федерации С Помощью Gvar Моделирования [The Impact of Oil Market Shocks on the Macroeconomic Indicat," MPRA Paper 110410, University Library of Munich, Germany, revised 01 Nov 2021.
    46. Oussama Abi Younes & Sumru Altug, 2021. "The COVID-19 Shock: A Bayesian Approach," JRFM, MDPI, vol. 14(10), pages 1-15, October.
    47. Gagnon, Joseph E. & Kamin, Steven B. & Kearns, John, 2023. "The impact of the COVID-19 pandemic on global GDP growth," Journal of the Japanese and International Economies, Elsevier, vol. 68(C).
    48. Mauro Caselli & Andrea Fracasso & Sergio Scicchitano, 2022. "From the lockdown to the new normal: individual mobility and local labor market characteristics following the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1517-1550, October.
    49. Klaus Weyerstrass & Dmitri Blueschke & Reinhard Neck & Miroslav Verbič, 2023. "Dealing with the COVID-19 pandemic in Slovenia: simulations with a macroeconometric model," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(4), pages 853-881, November.
    50. Annie Tubadji, 2021. "Culture and mental health resilience in times of COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(4), pages 1219-1259, October.
    51. Luca Bonacini & Giovanni Gallo & Sergio Scicchitano, 2021. "Working from home and income inequality: risks of a ‘new normal’ with COVID-19," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 303-360, January.
    52. Verónica Acurio Vásconez & Olivier Damette & David W. Shanafelt, 2021. "Macroepidemics and unconventional monetary policy: Coupling macroeconomics and epidemiology in a financial DSGE-SIR framework," Working Papers of BETA 2021-04, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    53. Iloanusi, Ogechukwu & Ross, Arun, 2021. "Leveraging weather data for forecasting cases-to-mortality rates due to COVID-19," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    54. Carmen Aina & Irene Brunetti & Chiara Mussida & Sergio Scicchitano, 2023. "Distributional effects of COVID-19," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 221-256, March.

  5. Pratiti Chatterjee & Fabio Milani, 2020. "Perceived Uncertainty Shocks, Excess Optimism-Pessimism, and Learning in the Business Cycle," CESifo Working Paper Series 8608, CESifo.

    Cited by:

    1. Karaki, Mohamad B. & Rangaraju, Sandeep Kumar, 2023. "The confidence channel of U.S. financial uncertainty: Evidence from industry-level data," Economic Modelling, Elsevier, vol. 129(C).
    2. Gaies, Brahim & Nakhli, Mohamed Sahbi & Ayadi, Rim & Sahut, Jean-Michel, 2022. "Exploring the causal links between investor sentiment and financial instability: A dynamic macro-financial analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 290-303.
    3. Stephen J. Cole & Fabio Milani, 2020. "Heterogeneity in Individual Expectations, Sentiment, and Constant-Gain Learning," CESifo Working Paper Series 8343, CESifo.
    4. Giulia Piccillo & Poramapa Poonpakdee, 2023. "Ambiguous Business Cycles, Recessions and Uncertainty: A Quantitative Analysis," CESifo Working Paper Series 10646, CESifo.

  6. Francisco Ilabaca & Greta Meggiorini & Fabio Milani, 2019. "Bounded Rationality, Monetary Policy, and Macroeconomic Stability," CESifo Working Paper Series 7706, CESifo.

    Cited by:

    1. Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2021. "Does Inattentiveness Matter for DSGE Modelling? An Empirical Investigation," Cardiff Economics Working Papers E2021/35, Cardiff University, Cardiff Business School, Economics Section.
    2. Atahan Afsar; José Elías Gallegos; Richard Jaimes; Edgar Silgado Gómez & José Elías Gallegos & Richard Jaimes & Edgar Silgado Gómez, 2020. "Reconciling Empirics and Theory: The Behavioral Hybrid New Keynesian Model," Vniversitas Económica 18560, Universidad Javeriana - Bogotá.
    3. Flora Budianto & Taisuke Nakata & Sebastian Schmidt, 2020. "Average inflation targeting and the interest rate lower bound," BIS Working Papers 852, Bank for International Settlements.
    4. Greta Meggiorini & Fabio Milani, 2021. "Behavioral New Keynesian Models: Learning vs. Cognitive Discounting," CESifo Working Paper Series 9039, CESifo.
    5. Gerke, Rafael & Kienzler, Daniel & Scheer, Alexander, 2022. "On the macroeconomic effects of reinvestments in asset purchase programmes," Discussion Papers 47/2022, Deutsche Bundesbank.
    6. Francisco Ilabaca & Fabio Milani, 2020. "Heterogeneous Expectations, Indeterminacy, and Postwar US Business Cycles," CESifo Working Paper Series 8224, CESifo.
    7. Lahcen Bounader & Guido Traficante, 2022. "Robustly optimal monetary policy in a behavioral environment," Working Papers 2022.01, International Network for Economic Research - INFER.
    8. Agustín Arias & Benjamín García & Ignacio Rojas, 2023. "Forward Guidance: Estimating a Behavioral DSGE Model with System Priors," Working Papers Central Bank of Chile 994, Central Bank of Chile.
    9. Dobrew, Michael & Gerke, Rafael & Kienzler, Daniel & Schwemmer, Alexander, 2023. "Monetary policy rules under bounded rationality," Discussion Papers 18/2023, Deutsche Bundesbank.
    10. Xi Wang & Jiayang Li & Guangbin Zhang, 2022. "Mixed Monetary–Fiscal Policies and Macroeconomic Fluctuations: An Analysis Based on the Dynamic Stochastic General Equilibrium Model," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(2), pages 167-196, March.
    11. Meggiorini, Greta, 2023. "Behavioral New Keynesian Models: An empirical assessment," Journal of Macroeconomics, Elsevier, vol. 77(C).

  7. Stephen J. Cole & Fabio Milani, 2016. "The Misspecification of Expectations in New Keynesian Models: A DSGE-VAR Approach," CESifo Working Paper Series 6099, CESifo.

    Cited by:

    1. P. Fève & J.-G. Sahuc, 2016. "In Search of the Transmission Mechanism of Fiscal Policy in the Euro Area," Working papers 585, Banque de France.
    2. Giovanni Angelini & Luca Fanelli Fanelli, 2015. "Misspecification and Expectations Correction in New Keynesian DSGE Models," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.
    3. Warne, Anders, 2023. "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series 2768, European Central Bank.
    4. Guimarães, Rodrigo, 2014. "Expectations, risk premia and information spanning in dynamic term structure model estimation," Bank of England working papers 489, Bank of England.
    5. Greta Meggiorini & Fabio Milani, 2021. "Behavioral New Keynesian Models: Learning vs. Cognitive Discounting," CESifo Working Paper Series 9039, CESifo.
    6. Cornand, Camille & Hubert, Paul, 2020. "On the external validity of experimental inflation forecasts: A comparison with five categories of field expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    7. Jonathan Benchimol & Lahcen Bounader, 2018. "Optimal Monetary Policy Under Bounded Rationality," Globalization Institute Working Papers 336, Federal Reserve Bank of Dallas.
    8. Milani, Fabio & Rajbhandari, Ashish, 2020. "Observed expectations, news shocks, and the business cycle," Research in Economics, Elsevier, vol. 74(2), pages 95-118.
    9. Francisco Ilabaca & Fabio Milani, 2020. "Heterogeneous Expectations, Indeterminacy, and Postwar US Business Cycles," CESifo Working Paper Series 8224, CESifo.
    10. Jan Babecky & Michal Franta & Jakub Rysanek, 2016. "Effects of Fiscal Policy in the DSGE-VAR Framework: The Case of the Czech Republic," Working Papers 2016/09, Czech National Bank.
    11. Cole, Stephen J., 2020. "The influence of learning and price-level targeting on central bank forward guidance," Journal of Macroeconomics, Elsevier, vol. 65(C).
    12. Aguilar, Pablo & Vázquez, Jesús, 2021. "An Estimated Dsge Model With Learning Based On Term Structure Information," Macroeconomic Dynamics, Cambridge University Press, vol. 25(7), pages 1635-1665, October.
    13. Stephen J. Cole & Fabio Milani, 2020. "Heterogeneity in Individual Expectations, Sentiment, and Constant-Gain Learning," CESifo Working Paper Series 8343, CESifo.
    14. Pratiti Chatterjee & Fabio Milani, 2020. "Perceived Uncertainty Shocks, Excess Optimism-Pessimism, and Learning in the Business Cycle," CESifo Working Paper Series 8608, CESifo.
    15. Babecký, Jan & Franta, Michal & Ryšánek, Jakub, 2018. "Fiscal policy within the DSGE-VAR framework," Economic Modelling, Elsevier, vol. 75(C), pages 23-37.
    16. Roberta Cardani & Alessia Paccagnini & Stelios D. Bekiros, 2017. "The Effectiveness of Forward Guidance in an Estimated DSGE Model for the Euro Area: the Role of Expectations," Working Papers 201701, School of Economics, University College Dublin.
    17. Paola Mariell Brens Ortega, 2020. "An Econometric Analysis of a Calibrated Macroeconomic Model for the Dominican Republic: A Closer Look into Monetary Policy," Documentos de Trabajo 18253, The Latin American and Caribbean Economic Association (LACEA).
    18. Lance Kent, 2015. "Relaxing Rational Expectations," Working Papers 159, Department of Economics, College of William and Mary.
    19. Ina Hajdini, 2022. "Mis-specified Forecasts and Myopia in an Estimated New Keynesian Model," Working Papers 22-03R, Federal Reserve Bank of Cleveland, revised 06 Mar 2023.
    20. Sorge, Marco M., 2021. "Stabilizing Taylor rules and determinacy under unit root supply shocks: A re-examination," Journal of Macroeconomics, Elsevier, vol. 68(C).
    21. Stephen J. Cole & Enrique Martínez García, 2019. "The Effect of Central Bank Credibility on Forward Guidance in an Estimated New Keynesian Model," Globalization Institute Working Papers 375, Federal Reserve Bank of Dallas, revised 20 Mar 2021.

  8. Fabio Milani & Sung Ho Park, 2014. "The Effects of Globalization on Macroeconomic Dynamics in a Trade-Dependent Economy: the Case of Korea," Working Papers 2014-13, Economic Research Institute, Bank of Korea.

    Cited by:

    1. Fabio Milani & Sung Ho Park, 2019. "Expectations and Macro-Housing Interactions in a Small Open Economy: Evidence from Korea," Open Economies Review, Springer, vol. 30(2), pages 375-402, April.
    2. Cacciatore, Matteo & Ghironi, Fabio & Lee, Yurim, 2016. "Financial market integration, exchange rate policy, and the dynamics of business and employment in Korea," Journal of the Japanese and International Economies, Elsevier, vol. 42(C), pages 79-99.
    3. Georgios Georgiadis & Martina Jancokova, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," Globalization Institute Working Papers 314, Federal Reserve Bank of Dallas.
    4. Bin Shen & Jiang Zhang & Yixiao Li & Qiuhua Zheng & Xingsen Li, 2015. "International Trade Modelling Using Open Flow Networks: A Flow-Distance Based Analysis," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-16, November.
    5. Barnett, William A. & Eryilmaz, Unal, 2022. "Monetary Policy and Determinacy: An Inquiry in Open Economy New Keynesian Framework," MPRA Paper 111567, University Library of Munich, Germany.
    6. Saad, Ayhab F., 2021. "Institutional change in the global economy: How trade reform can be detrimental to welfare," Economic Modelling, Elsevier, vol. 95(C), pages 97-110.
    7. Karime Chahuán-Jiménez & Rolando Rubilar-Torrealba & Hanns de la Fuente-Mella, 2021. "Market Openness and Its Relationship to Connecting Markets Due to COVID-19," Sustainability, MDPI, vol. 13(19), pages 1-12, October.
    8. Yao Li & Yugang He & Renhong Wu, 2023. "Traversing the Macroeconomic Terrain: An Exploration of South Korea’s Economic Responsiveness to Cross-Border E-Commerce Production Technology Alterations in the Global Arena," Sustainability, MDPI, vol. 15(15), pages 1-20, July.

  9. Fabio Milani, 2014. "Sentiment and the US Business Cycle," Working Papers 141504, University of California-Irvine, Department of Economics.

    Cited by:

    1. Fabio Milani & Sung Ho Park, 2019. "Expectations and Macro-Housing Interactions in a Small Open Economy: Evidence from Korea," Open Economies Review, Springer, vol. 30(2), pages 375-402, April.
    2. Fabien Labondance & Paul Hubert, 2017. "Central Bank sentiment and policy expectations," Sciences Po publications 648, Sciences Po.
    3. Bas Aarle & Cindy Moons, 2017. "Sentiment and Uncertainty Fluctuations and Their Effects on the Euro Area Business Cycle," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(2), pages 225-251, November.
    4. Ding Du & Ou Hu, 2020. "Why does stock-market investor sentiment influence corporate investment?," Review of Quantitative Finance and Accounting, Springer, vol. 54(4), pages 1221-1246, May.
    5. Michał Brzoza‐Brzezina & Jacek Kotłowski & Grzegorz Wesołowski, 2022. "International information flows, sentiments, and cross‐country business cycle fluctuations," Review of International Economics, Wiley Blackwell, vol. 30(4), pages 1110-1147, September.
    6. Uju Violet Alola & Darya Baeva & Andrew Adewale Alola, 2023. "Determining the (A)symmetric Role of Business–Consumer Confidence in Outward–Inward Tourism in Russia: A Competitiveness Perspective," International Journal of Global Business and Competitiveness, Springer, vol. 18(1), pages 22-34, June.
    7. Cole, Stephen J. & Milani, Fabio, 2019. "The Misspecification Of Expectations In New Keynesian Models: A Dsge-Var Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 974-1007, April.
    8. Greta Meggiorini & Fabio Milani, 2021. "Behavioral New Keynesian Models: Learning vs. Cognitive Discounting," CESifo Working Paper Series 9039, CESifo.
    9. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    10. Andrei A. Levchenko & Nitya Pandalai-Nayar, 2015. "TFP, News, and 'Sentiments': The International Transmission of Business Cycles," Working Papers 640, Research Seminar in International Economics, University of Michigan.
    11. Zhao Han & Xiaohan Ma & Ruoyun Mao, 2023. "The Role of Dispersed Information in Inflation and Inflation Expectations," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 48, pages 72-106, April.
    12. Milani, Fabio & Rajbhandari, Ashish, 2020. "Observed expectations, news shocks, and the business cycle," Research in Economics, Elsevier, vol. 74(2), pages 95-118.
    13. Rychalovska, Yuliya, 2016. "The implications of financial frictions and imperfect knowledge in the estimated DSGE model of the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 259-282.
    14. Nabavi Larimi , Seyed Mohsen & Ehsani , Mohammad Ali & Tavakolian , Hossein, 2018. "Effect of Sentiments on Macroeconomic Variables in Iran: A Dynamic Stochastic General Equilibrium Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(1), pages 1-30, January.
    15. Orlando Gomes & J. C. Sprott, 2017. "Sentiment-driven limit cycles and chaos," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 729-760, September.
    16. Pablo Pastory y Camarasa & Martien Lamers, 2023. "Do Actions Follow Words? How bank sentiment predicts credit growth," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 23/1073, Ghent University, Faculty of Economics and Business Administration.
    17. Zamarripa, Rene, 2021. "Estimating the Bank of Mexico’s reaction function in the last three decades: A Bayesian DSGE approach with rolling-windows," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    18. Jang, Tae-Seok & Sacht, Stephen, 2021. "Forecast heuristics, consumer expectations, and New-Keynesian macroeconomics: A Horse race," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 493-511.
    19. Kenza Benhima & Céline Poilly, 2017. "Do Misperceptions about Demand Matter? Theory and Evidence," Cahiers de Recherches Economiques du Département d'économie 17.08, Université de Lausanne, Faculté des HEC, Département d’économie.
    20. Dieckelmann, Daniel, 2021. "Market sentiment, financial fragility, and economic activity: The role of corporate securities issuance," Discussion Papers 2021/6, Free University Berlin, School of Business & Economics.
    21. Danilo Cascaldi-Garcia, 2022. "Forecast Revisions as Instruments for News Shocks," International Finance Discussion Papers 1341, Board of Governors of the Federal Reserve System (U.S.).
    22. Gomes, Orlando, 2015. "Optimal resource allocation in a representative investor economy," Economic Modelling, Elsevier, vol. 50(C), pages 72-84.
    23. Michał Brzoza-Brzezina & Jacek Kotłowski, 2018. "International confidence spillovers and business cycles in small open economies," NBP Working Papers 287, Narodowy Bank Polski.
    24. Kanas, Angelos & Molyneux, Philip, 2020. "Do measures of systemic risk predict U.S. corporate bond default rates?," International Review of Financial Analysis, Elsevier, vol. 71(C).
    25. Berardi, Michele, 2020. "Uncertainty and sentiments in asset prices," MPRA Paper 103798, University Library of Munich, Germany.
    26. Paweł Baranowski & Hamza Bennani & Wirginia Doryń, 2020. "Do ECB introductory statements help to predict monetary policy: evidence from tone analysis," NBP Working Papers 323, Narodowy Bank Polski.
    27. Elias, Christopher J., 2016. "Asset pricing with expectation shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 68-82.
    28. Ilut, Cosmin & Saijo, Hikaru, 2021. "Learning, confidence, and business cycles," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 354-376.
    29. Stephen J. Cole & Fabio Milani, 2020. "Heterogeneity in Individual Expectations, Sentiment, and Constant-Gain Learning," CESifo Working Paper Series 8343, CESifo.
    30. Kenza Benhima & Céline Poilly, 2021. "Does demand noise matter? Identification and implications," Post-Print hal-03173423, HAL.
    31. Pratiti Chatterjee & Fabio Milani, 2020. "Perceived Uncertainty Shocks, Excess Optimism-Pessimism, and Learning in the Business Cycle," CESifo Working Paper Series 8608, CESifo.
    32. Huub Meijers & Joan Muysken & Giulia Piccillo, 2023. "Expectations and the Stability of Stock-Flow Consistent Models," CESifo Working Paper Series 10696, CESifo.
    33. Clements, Michael P. & Galvao, Ana Beatriz, 2019. "Measuring the Effects of Expectations Shocks," EMF Research Papers 31, Economic Modelling and Forecasting Group.
    34. Agustín Arias, 2016. "Sentiment Shocks as Drivers of Business Cycles," Working Papers Central Bank of Chile 782, Central Bank of Chile.
    35. Sudeshna Ghosh, 2021. "Business Confidence and Business Tourism in Japan," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 1-23, February.
    36. Xu, Zhiwei & Zhou, Fei & Zhou, Jing, 2022. "Sentiments and real business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    37. Dimitris Anastasiou & Panayotis Kapopoulos & Kalliopi-Maria Zekente, 2023. "Sentimental Shocks and House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 67(4), pages 627-655, November.
    38. Angelos Kanas & Panagiotis D. Zervopoulos, 2021. "Systemic risk, real GDP growth, and sentiment," Review of Quantitative Finance and Accounting, Springer, vol. 57(2), pages 461-485, August.
    39. Thomas Lux & Duc Thi Luu & Boyan Yanovski, 2020. "An analysis of systemic risk in worldwide economic sentiment indices," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(4), pages 909-928, November.
    40. Luu, Duc Thi & Yanovski, Boyan & Lux, Thomas, 2018. "An analysis of systematic risk in worldwide econonomic sentiment indices," Economics Working Papers 2018-03, Christian-Albrechts-University of Kiel, Department of Economics.
    41. Yuliya Rychalovska & Sergey Slobodyan & Rafael Wouters, 2023. "Professional Survey Forecasts and Expectations in DSGE Models," CERGE-EI Working Papers wp766, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

  10. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.

    Cited by:

    1. Sacht, Stephen & Franke, Reiner & Jang, Tae-Seok, 2013. "Moment Matching versus Bayesian Estimation: Backward-Looking Behaviour in a New-Keynesian Baseline Model," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79694, Verein für Socialpolitik / German Economic Association.
    2. De Grauwe, Paul & Gerba, Eddie, 2018. "The role of cognitive limitations and heterogeneous expectations for aggregate production and credit cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 206-236.
    3. Fabio Milani & Sung Ho Park, 2019. "Expectations and Macro-Housing Interactions in a Small Open Economy: Evidence from Korea," Open Economies Review, Springer, vol. 30(2), pages 375-402, April.
    4. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    5. de Grauwe, Paul & Macchiarelli, Corrado, 2015. "Animal spirits and credit cycles," LSE Research Online Documents on Economics 63984, London School of Economics and Political Science, LSE Library.
    6. Dave, Chetan & Malik, Samreen, 2017. "A tale of fat tails," European Economic Review, Elsevier, vol. 100(C), pages 293-317.
    7. Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2021. "Does Inattentiveness Matter for DSGE Modelling? An Empirical Investigation," Cardiff Economics Working Papers E2021/35, Cardiff University, Cardiff Business School, Economics Section.
    8. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    9. Frédérique Bec & Patrick Kanda, 2019. "Is inflation driven by survey-based, VAR-based or myopic expectations?," Working Papers hal-02175836, HAL.
    10. Fabio Milani, 2014. "Sentiment and the U.S. Business Cycle," 2014 Meeting Papers 883, Society for Economic Dynamics.
    11. Bec, Frédérique & Kanda, Patrick, 2020. "Is inflation driven by survey-based, VAR-based or myopic expectations? An empirical assessment from US real-time data," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    12. Minford, Patrick & Hatcher, Michael, 2014. "Stabilization policy, rational expectations and price-level versus infl?ation targeting: a survey," CEPR Discussion Papers 9820, C.E.P.R. Discussion Papers.
    13. Milani, Fabio & Rajbhandari, Ashish, 2020. "Observed expectations, news shocks, and the business cycle," Research in Economics, Elsevier, vol. 74(2), pages 95-118.
    14. Willi Mutschler, 2014. "Identification of DSGE Models - the Effect of Higher-Order Approximation and Pruning," CQE Working Papers 3314, Center for Quantitative Economics (CQE), University of Muenster.
    15. Diaz Sanchez, Jose Luis, 2013. "Explaining the last consumption boom-bust cyclein Ireland : the role of news and noise shocks," Policy Research Working Paper Series 6525, The World Bank.
    16. Güneş Kamber & Chris McDonald & Nicholas Sander & Konstantinos Theodoridis, 2015. "A structural model for policy analysis and forecasting: NZSIM," Reserve Bank of New Zealand Discussion Paper Series DP2015/05, Reserve Bank of New Zealand.
    17. Patrizio Tirelli & Maria Ferrara, 2020. "Disinflation, Inequality, And Welfare In A Tank Model," Economic Inquiry, Western Economic Association International, vol. 58(3), pages 1297-1313, July.
    18. Escañuela Romana, Ignacio, 2018. "Instability in the basic New Keynesian model under limited information," MPRA Paper 88015, University Library of Munich, Germany.
    19. Hanck, Christoph & Prüser, Jan, 2016. "House prices and interest rates: Bayesian evidence from Germany," Ruhr Economic Papers 620, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    20. Miura, Shogo, 2023. "Households’ assets, sentiment shocks and business cycles," Economic Modelling, Elsevier, vol. 118(C).
    21. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    22. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    23. Sergey Ivashchenko & Rangan Gupta, 2017. "Near-Rational Expectations: How Far are Surveys from Rationality?," EERI Research Paper Series EERI RP 2017/04, Economics and Econometrics Research Institute (EERI), Brussels.
    24. Agustín Arias, 2016. "Sentiment Shocks as Drivers of Business Cycles," Working Papers Central Bank of Chile 782, Central Bank of Chile.
    25. Patrick T. kanda & Mehmet Balcilar & Pejman Bahramian & Rangan Gupta, 2014. "Forecasting South African Inflation Using Non-Linear Models: A Weighted Loss-Based Evaluation," Working Papers 201416, University of Pretoria, Department of Economics.
    26. Ahmed Jamal Pirzada, 2017. "Price Stickiness and Intermediate Materials Prices," Bristol Economics Discussion Papers 17/686, School of Economics, University of Bristol, UK.
    27. Jochen Michaelis, 2013. "Und dann werfen wir den Computer an – Anmerkungen zur Methodik der DSGE-Modelle," MAGKS Papers on Economics 201323, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

  11. Fabio Milani & Ashish Rajrhandari, 2012. "Observed Expectations, News Shocks, and the Business Cycle," Working Papers 121305, University of California-Irvine, Department of Economics.

    Cited by:

    1. Jean-Paul L’Huillier & Sanjay R. Singh & Donghoon Yoo, 2023. "Incorporating Diagnostic Expectations into the New Keynesian Framework," Working Paper Series 2023-19, Federal Reserve Bank of San Francisco.
    2. Sandra Gomes, 2011. "Housing Market Dynamics: Any News?," Working Papers w201121, Banco de Portugal, Economics and Research Department.
    3. Nikolay Iskrev, 2018. "Are asset price data informative about news shocks? A DSGE perspective," Working Papers REM 2018/33, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    4. Greta Meggiorini & Fabio Milani, 2021. "Behavioral New Keynesian Models: Learning vs. Cognitive Discounting," CESifo Working Paper Series 9039, CESifo.
    5. Fabio Milani, 2014. "Sentiment and the U.S. Business Cycle," 2014 Meeting Papers 883, Society for Economic Dynamics.
    6. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    7. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    8. Yasuo Hirose & Takushi Kurozumi, 2017. "Changes in the Federal Reserve Communication Strategy: A Structural Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(1), pages 171-185, February.
    9. Yasuo Hirose & Takushi Kurozumi, 2012. "Identifying News Shocks with Forecast Data," CAMA Working Papers 2012-01, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Dongho Song & Jenny Tang, 2018. "News-driven uncertainty fluctuations," Working Papers 18-3, Federal Reserve Bank of Boston.
    11. Kenza Benhima & Céline Poilly, 2017. "Do Misperceptions about Demand Matter? Theory and Evidence," Cahiers de Recherches Economiques du Département d'économie 17.08, Université de Lausanne, Faculté des HEC, Département d’économie.
    12. Cole, Stephen J., 2020. "The influence of learning and price-level targeting on central bank forward guidance," Journal of Macroeconomics, Elsevier, vol. 65(C).
    13. Thuy Lan Nguyen & Wataru Miyamoto, 2014. "News shocks and Business cycles: Evidence from forecast data," 2014 Meeting Papers 259, Society for Economic Dynamics.
    14. Pratiti Chatterjee & Fabio Milani, 2020. "Perceived Uncertainty Shocks, Excess Optimism-Pessimism, and Learning in the Business Cycle," CESifo Working Paper Series 8608, CESifo.
    15. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    16. Iskrev, Nikolay, 2019. "On the sources of information about latent variables in DSGE models," European Economic Review, Elsevier, vol. 119(C), pages 318-332.
    17. Miyamoto, Wataru & Nguyen, Thuy Lan, 2020. "The expectational effects of news in business cycles: Evidence from forecast data," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 184-200.
    18. Kortelainen, Mika & Paloviita, Maritta & Viren, Matti, 2016. "How useful are measured expectations in estimation and simulation of a conventional small New Keynesian macro model?," Economic Modelling, Elsevier, vol. 52(PB), pages 540-550.

  12. Fabio Milani & Ashish Rajbhandari, 2012. "Expectation Formation and Monetary DSGE Models: Beyond the Rational Expectations Paradigm," Working Papers 111212, University of California-Irvine, Department of Economics.

    Cited by:

    1. Best Gabriela & Kapinos Pavel, 2016. "Monetary policy and news shocks: are Taylor rules forward-looking?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(2), pages 335-360, June.
    2. Chou, Jenyu & Easaw, Joshy & Minford, Patrick, 2021. "Does Inattentiveness Matter for DSGE Modelling? An Empirical Investigation," Cardiff Economics Working Papers E2021/35, Cardiff University, Cardiff Business School, Economics Section.
    3. Jenyu Chou & Yifei Cao & Patrick Minford, 2023. "Evaluation and indirect inference estimation of inattentive features in a New Keynesian framework," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 530-542, April.
    4. Guimarães, Rodrigo, 2014. "Expectations, risk premia and information spanning in dynamic term structure model estimation," Bank of England working papers 489, Bank of England.
    5. Fabio Milani, 2014. "Sentiment and the U.S. Business Cycle," 2014 Meeting Papers 883, Society for Economic Dynamics.
    6. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    7. Holtemöller, Oliver & Schult, Christoph, 2018. "Expectation formation, financial frictions, and forecasting performance of dynamic stochastic general equilibrium models," IWH Discussion Papers 15/2018, Halle Institute for Economic Research (IWH).
    8. Milani, Fabio & Rajbhandari, Ashish, 2020. "Observed expectations, news shocks, and the business cycle," Research in Economics, Elsevier, vol. 74(2), pages 95-118.
    9. Ali, Syed Zahid & Anwar, Sajid, 2018. "Price puzzle in a small open New Keynesian model," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 29-42.
    10. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    11. Marco Airaudo & Ina Hajdini, 2021. "Consistent Expectations Equilibria In Markov Regime Switching Models And Inflation Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(4), pages 1401-1430, November.
    12. Sergey Ivashchenko & Rangan Gupta, 2017. "Near-Rational Expectations: How Far are Surveys from Rationality?," EERI Research Paper Series EERI RP 2017/04, Economics and Econometrics Research Institute (EERI), Brussels.
    13. Lance Kent, 2015. "Relaxing Rational Expectations," Working Papers 159, Department of Economics, College of William and Mary.
    14. Kortelainen, Mika & Paloviita, Maritta & Viren, Matti, 2016. "How useful are measured expectations in estimation and simulation of a conventional small New Keynesian macro model?," Economic Modelling, Elsevier, vol. 52(PB), pages 540-550.

  13. Fabio Milani & John Treadwell, 2011. "The Effects of Monetary Policy "News" and "Surprises"," Working Papers 101109, University of California-Irvine, Department of Economics.

    Cited by:

    1. Nikolay Iskrev & Sandra Gomes & Caterina Mendicino, 2013. "Monetary policy shocks: We got news!," Working Papers w201307, Banco de Portugal, Economics and Research Department.
    2. Kurt Graden Lunsford, 2018. "Understanding the Aspects of Federal Reserve Forward Guidance," Working Papers (Old Series) 1815, Federal Reserve Bank of Cleveland.
    3. Sandra Gomes, 2011. "Housing Market Dynamics: Any News?," Working Papers w201121, Banco de Portugal, Economics and Research Department.
    4. Luisa Lambertini & Caterina Mendicino & Maria Teresa Punzi, 2012. "Expectations-Driven Cycles in the Housing Market," Discussion Papers 12/08, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    5. Nadav Ben Zeev & Christopher Gunn & Hashmat Khan, 2020. "Monetary News Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(7), pages 1793-1820, October.
    6. Famoroti Jonathan Olusegun & Adeleke Omolade, 2022. "Impact of monetary policy transmission mechanism in West African countries," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 32(1), pages 20-42, March.
    7. Fabio Milani, 2014. "Sentiment and the U.S. Business Cycle," 2014 Meeting Papers 883, Society for Economic Dynamics.
    8. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    9. Milani, Fabio & Rajbhandari, Ashish, 2020. "Observed expectations, news shocks, and the business cycle," Research in Economics, Elsevier, vol. 74(2), pages 95-118.
    10. Mitsuru Katagiri & Koji Takahashi, 2017. "Do Term Premiums Matter? Transmission via Exchange Rate Dynamics," Bank of Japan Working Paper Series 17-E-7, Bank of Japan.
    11. J. A. Lafuente & R. Pérez & J. Ruiz, 2018. "Disentangling permanent and transitory monetary shocks with a non-linear Taylor rule," Documentos de Trabajo del ICAE 2018-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    12. Nizam Ahmed Mehedi, 2021. "On The Contribution of Interest Expense (Income) on Total Output," Open Economics, De Gruyter, vol. 4(1), pages 31-56, January.
    13. Badarinza, Cristian & Margaritov, Emil, 2011. "News and policy foresight in a macro-finance model of the US," Working Paper Series 1313, European Central Bank.
    14. Cole, Stephen J., 2020. "The influence of learning and price-level targeting on central bank forward guidance," Journal of Macroeconomics, Elsevier, vol. 65(C).
    15. Luisa Lambertini & Caterina Mendicino & Maria Teresa Punzi, 2011. "Leaning Against Boom-Bust Cycles in Credit and Housing Prices," Working Papers CELEG 1104, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    16. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    17. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    18. Agustín Arias & Benjamín García & Ignacio Rojas, 2023. "Forward Guidance: Estimating a Behavioral DSGE Model with System Priors," Working Papers Central Bank of Chile 994, Central Bank of Chile.
    19. Verona, Fabio & Martins, Manuel M. F. & Drumond, Inês, 2013. "(Un)anticipated monetary policy in a DSGE model with a shadow banking system," Bank of Finland Research Discussion Papers 4/2013, Bank of Finland.
    20. Harrison, Richard & Waldron, Matt, 2021. "Optimal policy with occasionally binding constraints: piecewise linear solution methods," Bank of England working papers 911, Bank of England.

  14. Milani, Fabio, 2010. "Expectation Shocks and Learning as Drivers of the Business Cycle," CEPR Discussion Papers 7743, C.E.P.R. Discussion Papers.

    Cited by:

    1. Fabio Milani & Sung Ho Park, 2013. "The Effects of Globalization on Macroeconomic Dynamics in a Trade-Dependent Economy: the Case of Korea," Working Papers 141502, University of California-Irvine, Department of Economics.
    2. Breach, Tomas & D’Amico, Stefania & Orphanides, Athanasios, 2020. "The term structure and inflation uncertainty," Journal of Financial Economics, Elsevier, vol. 138(2), pages 388-414.
    3. Kuang, Pei, 2014. "A model of housing and credit cycles with imperfect market knowledge," European Economic Review, Elsevier, vol. 70(C), pages 419-437.
    4. Benhabib, Jess & Evans, George W. & Honkapohja, Seppo, 2012. "Liquidity trap and expectation dynamics: Fiscal stimulus or fiscal austerity?," Bank of Finland Research Discussion Papers 27/2012, Bank of Finland.
    5. Patrick A. Pintus & Jacek Suda, 2013. "Learning Financial Shocks and the Great Recession," AMSE Working Papers 1333, Aix-Marseille School of Economics, France, revised 05 Jun 2013.
    6. Pei Kuang, 2013. "Imperfect Knowledge About Asset Prices and Credit Cycles," Discussion Papers 13-02, Department of Economics, University of Birmingham.
    7. Stefano Eusepi & Marc P. Giannoni & Bruce Preston, 2017. "Some implications of learning for price stability," CAMA Working Papers 2017-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Fabio Milani & Sung Ho Park, 2019. "Expectations and Macro-Housing Interactions in a Small Open Economy: Evidence from Korea," Open Economies Review, Springer, vol. 30(2), pages 375-402, April.
    9. Seppo Honkapohja & Kaushik Mitra & George Evans, 2017. "Expectations, Stagnation and Fiscal Policy," 2017 Meeting Papers 160, Society for Economic Dynamics.
    10. Kyle Jurado, 2016. "Advance Information and Distorted Beliefs in Macroeconomic and Financial Fluctuations," 2016 Meeting Papers 154, Society for Economic Dynamics.
    11. Carlos Garcia & Andrés Sagner, 2012. "Exceso de Toma de Riesgo Crediticio en Chile," ILADES-UAH Working Papers inv280, Universidad Alberto Hurtado/School of Economics and Business.
    12. Gbaguidi DAVID, 2011. "Expectations Impact On The Effectiveness Of The Inflation-Real Activity Trade-Off," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 141-181.
    13. Berardi, Michele & Galimberti, Jaqueson K., 2017. "Empirical calibration of adaptive learning," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 219-237.
    14. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2018. "Bounded-rationality and heterogeneous agents: Long or short forecasters?," JRC Research Reports JRC111392, Joint Research Centre.
    15. Péter Gábriel, 2010. "Household inflation expectations and inflation dynamics," MNB Working Papers 2010/12, Magyar Nemzeti Bank (Central Bank of Hungary).
    16. Winkler, Fabian, 2020. "The role of learning for asset prices and business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 42-58.
    17. Dave, Chetan & Malik, Samreen, 2017. "A tale of fat tails," European Economic Review, Elsevier, vol. 100(C), pages 293-317.
    18. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    19. Hommes, Cars & in ’t Veld, Daan, 2017. "Booms, busts and behavioural heterogeneity in stock prices," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 101-124.
    20. George W. Evans & Seppo Honkapohja & Kaushik Mitra, 2022. "Expectations, Stagnation, And Fiscal Policy: A Nonlinear Analysis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1397-1425, August.
    21. Piero Ferri, 2011. "Macroeconomics of Growth Cycles and Financial Instability," Books, Edward Elgar Publishing, number 14260.
    22. F. Di Pace & K. Mitra & S. Zhang, 2021. "Adaptive Learning and Labor Market Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(2-3), pages 441-475, March.
    23. Steinar Holden, 2012. "Implications of insights from behavioral economics for macroeconomic models," IMK Working Paper 99-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    24. Alfarano Simone & Milakovic Mishael, 2012. "Identification of Interaction Effects in Survey Expectations: A Cautionary Note," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-23, October.
    25. Cole, Stephen J. & Milani, Fabio, 2019. "The Misspecification Of Expectations In New Keynesian Models: A Dsge-Var Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 974-1007, April.
    26. Best, Gabriela, 2017. "Policy Preferences And Policy Makers' Beliefs: The Great Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 21(8), pages 1957-1995, December.
    27. Michele Berardi, 2018. "Information aggregation and learning in a dynamic asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 241, Economics, The University of Manchester.
    28. Fabio Milani, 2008. "Learning about the Interdependence between the Macroeconomy and the Stock Market," Working Papers 070819, University of California-Irvine, Department of Economics.
    29. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2020. "Bounded rationality and heterogeneous expectations: Euler versus anticipated-utility approach," Journal of Economics, Springer, vol. 130(3), pages 249-273, August.
    30. Gasteiger, Emanuel & Zhang, Shoujian, 2011. "Anticipation, learning and welfare: the case of distortionary taxation," MPRA Paper 30625, University Library of Munich, Germany.
    31. Greta Meggiorini & Fabio Milani, 2021. "Behavioral New Keynesian Models: Learning vs. Cognitive Discounting," CESifo Working Paper Series 9039, CESifo.
    32. Carsten Krabbe Nielsen, 2009. "The Loan Contract with Costly State Verification and Subjective Beliefs," Discussion Paper Series 0918, Institute of Economic Research, Korea University.
    33. Carlson, Kyle, 2015. "Fear itself: The effects of distressing economic news on birth outcomes," Journal of Health Economics, Elsevier, vol. 41(C), pages 117-132.
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    35. Felix Chopra & Christopher Roth & Johannes Wohlfart, 2023. "Home Price Expectations and Spending: Evidence from a Field Experiment," CESifo Working Paper Series 10450, CESifo.
    36. Fabio Milani, 2014. "Sentiment and the U.S. Business Cycle," 2014 Meeting Papers 883, Society for Economic Dynamics.
    37. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    38. Luca Gambetti & Christoph Görtz & Dimitris Korobilis & John D. Tsoukalas & Francesco Zanetti, 2022. "The Effect of News Shocks and Monetary Policy," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 139-164, Emerald Group Publishing Limited.
    39. Michele Berardi, 2015. "Prices, fundamental values and learning," Centre for Growth and Business Cycle Research Discussion Paper Series 214, Economics, The University of Manchester.
    40. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    41. Milani, Fabio & Rajbhandari, Ashish, 2020. "Observed expectations, news shocks, and the business cycle," Research in Economics, Elsevier, vol. 74(2), pages 95-118.
    42. Berardi, Michele & Galimberti, Jaqueson K., 2019. "Smoothing-Based Initialization For Learning-To-Forecast Algorithms," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 1008-1023, April.
    43. Cars Hommes & Kostas Mavromatis & Tolga Özden & Mei Zhu, 2023. "Behavioral learning equilibria in New Keynesian models," Quantitative Economics, Econometric Society, vol. 14(4), pages 1401-1445, November.
    44. Francisco Ilabaca & Fabio Milani, 2020. "Heterogeneous Expectations, Indeterminacy, and Postwar US Business Cycles," CESifo Working Paper Series 8224, CESifo.
    45. Seppo Honkapohja & Arja H. Turunen-Red & Alan D. Woodland, 2011. "Growth, Expectations, and Tariffs," CESifo Working Paper Series 3435, CESifo.
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    54. Kobielarz, Michal, 2018. "The economics of monetary unions," Other publications TiSEM b0293536-68ec-4905-bffd-6, Tilburg University, School of Economics and Management.
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    56. Pablo Aguilar & Jesús Vázquez, 2015. "The role of term structure in an estimated DSGE model with learning," LIDAM Discussion Papers IRES 2015007, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
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    58. Nicolas Reigl, 2023. "Noise shocks and business cycle fluctuations in three major European Economies," Empirical Economics, Springer, vol. 64(2), pages 603-657, February.
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    60. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
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    62. Ali, Syed Zahid & Anwar, Sajid, 2017. "Exchange rate pass through, cost channel to monetary policy transmission, adaptive learning, and the price puzzle," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 69-82.
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    67. Berardi, Michele, 2020. "Uncertainty and sentiments in asset prices," MPRA Paper 103798, University Library of Munich, Germany.
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    69. Aguilar, Pablo & Vázquez, Jesús, 2021. "An Estimated Dsge Model With Learning Based On Term Structure Information," Macroeconomic Dynamics, Cambridge University Press, vol. 25(7), pages 1635-1665, October.
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    71. Tortorice, Daniel L, 2018. "The business cycle implications of fluctuating long run expectations," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 266-291.
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    74. Ilut, Cosmin & Saijo, Hikaru, 2021. "Learning, confidence, and business cycles," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 354-376.
    75. Dave, Chetan & Sorge, Marco, 2023. "Fat Tailed DSGE Models: A Survey and New Results," Working Papers 2023-3, University of Alberta, Department of Economics.
    76. Fabio Milani, 2007. "Learning and Time-Varying Macroeconomic Volatility," Working Papers 070802, University of California-Irvine, Department of Economics.
    77. Stephen J. Cole & Fabio Milani, 2020. "Heterogeneity in Individual Expectations, Sentiment, and Constant-Gain Learning," CESifo Working Paper Series 8343, CESifo.
    78. Miura, Shogo, 2023. "Households’ assets, sentiment shocks and business cycles," Economic Modelling, Elsevier, vol. 118(C).
    79. Pratiti Chatterjee & Fabio Milani, 2020. "Perceived Uncertainty Shocks, Excess Optimism-Pessimism, and Learning in the Business Cycle," CESifo Working Paper Series 8608, CESifo.
    80. Doshchyn, Artur & Giommetti, Nicola, 2013. "Learning, Expectations, and Endogenous Business Cycles," MPRA Paper 49617, University Library of Munich, Germany.
    81. Dennis Wesselbaum, 2019. "Expectation shocks and fiscal rules," International Economics and Economic Policy, Springer, vol. 16(2), pages 357-377, April.
    82. Xuan, Chunji & Kim, Chang-Jin, 2020. "Structural breaks in the mean of dividend-price ratios: Implications of learning on stock return predictability," Japan and the World Economy, Elsevier, vol. 55(C).
    83. Roberta Cardani & Alessia Paccagnini & Stelios D. Bekiros, 2017. "The Effectiveness of Forward Guidance in an Estimated DSGE Model for the Euro Area: the Role of Expectations," Working Papers 201701, School of Economics, University College Dublin.
    84. George W. Evans & Bruce Mcgough, 2018. "Interest‐Rate Pegs in New Keynesian Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 939-965, August.
    85. Clements, Michael P. & Galvao, Ana Beatriz, 2019. "Measuring the Effects of Expectations Shocks," EMF Research Papers 31, Economic Modelling and Forecasting Group.
    86. Marcin Bielecki & Michał Brzoza-Brzezina & Marcin Kolasa, 2022. "Aging, Migration and Monetary Policy in Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 5-30.
    87. Vázquez, Jesús & Aguilar, Pablo, 2021. "Adaptive learning with term structure information," European Economic Review, Elsevier, vol. 134(C).
    88. Gobbi, Alessandro & Grazzini, Jakob, 2019. "A basic New Keynesian DSGE model with dispersed information: An agent-based approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 101-116.
    89. Pintus, P. A. & Suda, J., 2013. "Learning Leverage Shocks and the Great Recession," Working papers 440, Banque de France.
    90. Tolga Özden, 2021. "Heterogeneous Expectations and the Business Cycle at the Effective Lower Bound," Working Papers 714, DNB.
    91. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    92. Sinha, Arunima, 2015. "Government debt, learning and the term structure," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 268-289.
    93. Kurz, Mordecai & Piccillo, Giulia & Wu, Howei, 2013. "Modeling diverse expectations in an aggregated New Keynesian Model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1403-1433.
    94. Vicente da Gama Machado, 2012. "Monetary Policy, Asset Prices and Adaptive Learning," Working Papers Series 274, Central Bank of Brazil, Research Department.
    95. Markiewicz, Agnieszka & Pick, Andreas, 2014. "Adaptive learning and survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 685-707.
    96. Michele Berardi & Jaqueson K Galimberti, 2016. "On the Initialization of Adaptive Learning in Macroeconomic Models," KOF Working papers 16-422, KOF Swiss Economic Institute, ETH Zurich.
    97. Argentiero, Amedeo & Bovi, Maurizio & Cerqueti, Roy, 2015. "Over consumption. A horse race of Bayesian DSGE models," MPRA Paper 66445, University Library of Munich, Germany.
    98. Fabio Milani & Ashish Rajbhandari, 2012. "Expectation Formation and Monetary DSGE Models: Beyond the Rational Expectations Paradigm," Working Papers 111212, University of California-Irvine, Department of Economics.
    99. Volha Audzei, 2012. "Efficiency of Central Bank Policy During the Crisis : Role of Expectations in Reinforcing Hoarding Behavior," CERGE-EI Working Papers wp477, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    100. Michele Berardi, 2016. "Endogenous time-varying risk aversion and asset returns," Journal of Evolutionary Economics, Springer, vol. 26(3), pages 581-601, July.
    101. Thomas Lux & Duc Thi Luu & Boyan Yanovski, 2020. "An analysis of systemic risk in worldwide economic sentiment indices," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(4), pages 909-928, November.
    102. Antonecchia, Gianluca, 2023. "Heterogeneous expectations, forecast accuracy and firms’ credit demand," European Economic Review, Elsevier, vol. 154(C).
    103. Michele Berardi, 2016. "Herding through learning in an asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 223, Economics, The University of Manchester.
    104. Luu, Duc Thi & Yanovski, Boyan & Lux, Thomas, 2018. "An analysis of systematic risk in worldwide econonomic sentiment indices," Economics Working Papers 2018-03, Christian-Albrechts-University of Kiel, Department of Economics.
    105. Berardi, Michele, 2019. "A probabilistic interpretation of the constant gain algorithm," MPRA Paper 94023, University Library of Munich, Germany.
    106. Yuliya Rychalovska & Sergey Slobodyan & Rafael Wouters, 2023. "Professional Survey Forecasts and Expectations in DSGE Models," CERGE-EI Working Papers wp766, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    107. Dieppe, Alistair & Pandiella, Alberto González & Hall, Stephen & Willman, Alpo, 2013. "Limited information minimal state variable learning in a medium-scale multi-country model," Economic Modelling, Elsevier, vol. 33(C), pages 808-825.
    108. Kortelainen, Mika & Paloviita, Maritta & Viren, Matti, 2016. "How useful are measured expectations in estimation and simulation of a conventional small New Keynesian macro model?," Economic Modelling, Elsevier, vol. 52(PB), pages 540-550.
    109. André Marine Charlotte & Dai Meixing, 2020. "The limits to robust monetary policy in a small open economy with learning agents," Working Papers 2020-12, Banco de México.
    110. Argentiero, Amedeo & Bovi, Maurizio & Cerqueti, Roy, 2016. "Bayesian estimation and entropy for economic dynamic stochastic models: An exploration of overconsumption," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 143-157.
    111. Gbaguidi, David Sedo, 2011. "Regime Switching in a New Keynesian Phillips Curve with Non-zero Steady-state Inflation Rate," MPRA Paper 35481, University Library of Munich, Germany.
    112. Francesco Bianchi & Sydney C. Ludvigson & Sai Ma, 2022. "Belief Distortions and Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 112(7), pages 2269-2315, July.
    113. Pei Kuang & Renbin Zhang & Tongbin Zhang, 2019. "New Tests of Expectation Formation with Applications to Asset Pricing Models," Discussion Papers 19-05, Department of Economics, University of Birmingham.
    114. Elias, Christopher J., 2016. "A heterogeneous agent exchange rate model with speculators and non-speculators," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 203-223.
    115. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the plausibility of adaptive learning in macroeconomics: A puzzling conflict in the choice of the representative algorithm," Centre for Growth and Business Cycle Research Discussion Paper Series 177, Economics, The University of Manchester.
    116. Aleksei Netšunajev & Lars Winkelmann, 2016. "International dynamics of inflation expectations," SFB 649 Discussion Papers SFB649DP2016-019, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    117. Jaqueson K. Galimberti & Marcelo L. Moura, 2011. "Improving the reliability of real-time Hodrick-Prescott filtering using survey forecasts," Centre for Growth and Business Cycle Research Discussion Paper Series 159, Economics, The University of Manchester.
    118. Gbaguidi, David, 2012. "La courbe de Phillips : temps d’arbitrage et/ou arbitrage de temps," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(1), pages 87-119, mars.
    119. Marzioni, Stefano, 2014. "Signals and learning in a new Keynesian economy," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 114-131.
    120. Pablo Aguilar & Jesús Vázquez, 2018. "Term structure and real-time learning," Working Papers 1803, Banco de España.
    121. Evans, George W. & Mitra, Kaushik, 2013. "E-stability in the stochastic Ramsey model," Economics Letters, Elsevier, vol. 118(2), pages 407-410.
    122. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the initialization of adaptive learning algorithms: A review of methods and a new smoothing-based routine," Centre for Growth and Business Cycle Research Discussion Paper Series 175, Economics, The University of Manchester.

  15. Fabio Milani, 2009. "Expectations, Learning, and the Changing Relationship between Oil Prices and the Macroeconomy," Working Papers 080923, University of California-Irvine, Department of Economics.

    Cited by:

    1. Fabio Milani, 2011. "Expectation Shocks and Learning as Drivers of the Business Cycle," Economic Journal, Royal Economic Society, vol. 121(552), pages 379-401, May.
    2. Usama Almulali & Che Normee Binti Che Sab, 2013. "Exploring the impact of oil revenues on OPEC members' macroeconomy," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 37(4), pages 416-428, December.
    3. Sylvain Leduc & Kevin Moran & Robert J. Vigfusson, 2020. "Learning in the Oil Futures Markets: Evidence and Macroeconomic Implications," Working Paper Series 2020-33, Federal Reserve Bank of San Francisco.
    4. Oluwole Alfred Olatunji, 2010. "The impact of oil price regimes on construction cost in Nigeria," Construction Management and Economics, Taylor & Francis Journals, vol. 28(7), pages 747-759.
    5. Greta Meggiorini & Fabio Milani, 2021. "Behavioral New Keynesian Models: Learning vs. Cognitive Discounting," CESifo Working Paper Series 9039, CESifo.
    6. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    7. Han, Liyan & Lv, Qiuna & Yin, Libo, 2017. "Can investor attention predict oil prices?," Energy Economics, Elsevier, vol. 66(C), pages 547-558.
    8. Marco Lorusso & Luca Pieroni, 2015. "Causes and Consequences of Oil Price Shocks on the UK Economy," CEERP Working Paper Series 002, Centre for Energy Economics Research and Policy, Heriot-Watt University, revised Nov 2015.
    9. Kyrtsou, Catherine & Mikropoulou, Christina & Papana, Angeliki, 2016. "Does the S&P500 index lead the crude oil dynamics? A complexity-based approach," Energy Economics, Elsevier, vol. 56(C), pages 239-246.
    10. Ali Ahmed, Huson Joher & Wadud, I.K.M. Mokhtarul, 2011. "Role of oil price shocks on macroeconomic activities: An SVAR approach to the Malaysian economy and monetary responses," Energy Policy, Elsevier, vol. 39(12), pages 8062-8069.
    11. Amiri, Hossein & Sayadi, Mohammad & Mamipour, Siab, 2021. "Oil Price Shocks and Macroeconomic Outcomes; Fresh Evidences from a scenario-based NK-DSGE analysis for oil-exporting countries," Resources Policy, Elsevier, vol. 74(C).
    12. Carlos Pinho & Mara Madaleno, 2016. "Oil prices and stock returns: nonlinear links across sectors," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 15(2), pages 79-97, August.
    13. Wataru Miyamoto & Thuy Lan Nguyen & Dmitry Sergeyev, 2023. "How Oil Shocks Propagate: Evidence on the Monetary Policy Channel," Working Paper Series 2024-06, Federal Reserve Bank of San Francisco.
    14. Ge, Feng-Long & Fan, Ying, 2013. "A system dynamics model of coordinated development of central and provincial economy and oil enterprises," Energy Policy, Elsevier, vol. 60(C), pages 41-51.
    15. Yin, Libo & Yang, Qingyuan, 2016. "Predicting the oil prices: Do technical indicators help?," Energy Economics, Elsevier, vol. 56(C), pages 338-350.
    16. Malliaris, A.G. & Kyrtsou, C., 2009. "Editorial introduction of the special issue: "Energy sector pricing and macroeconomic dynamics"," Energy Economics, Elsevier, vol. 31(6), pages 825-826, November.
    17. Behmiri, Niaz Bashiri & Pires Manso, José Ramos, 2014. "The linkage between crude oil consumption and economic growth in Latin America: The panel framework investigations for multiple regions," Energy, Elsevier, vol. 72(C), pages 233-241.
    18. Nabila Khurshid & Chinyere Emmanuel Egbe & Asma Fiaz & Amna Sheraz, 2023. "Globalization and Economic Stability: An Insight from the Rocket and Feather Hypothesis in Pakistan," Sustainability, MDPI, vol. 15(2), pages 1-19, January.

  16. Fabio Milani, 2009. "Global slack and domestic inflation rates: a structural investigation for G-7 countries," Globalization Institute Working Papers 33, Federal Reserve Bank of Dallas.

    Cited by:

    1. Chengsi Zhang & Ke Song & Fang Wang, 2015. "Economic Globalization and Inflation in China: A Multivariate Approach," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(3), pages 79-96, May.
    2. Ayse Kabukcuoglu & Enrique Martínez-García, 2016. "What Helps Forecast U.S. Inflation?—Mind the Gap!," Koç University-TUSIAD Economic Research Forum Working Papers 1615, Koc University-TUSIAD Economic Research Forum.
    3. David Finck & Peter Tillmann, 2022. "The Role of Global and Domestic Shocks for Inflation Dynamics: Evidence from Asia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1181-1208, October.
    4. Erzsébet Éva Nagy & Veronika Tengely, 2018. "The external and domestic drivers of inflation: the case study of Hungary," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and deglobalisation, volume 100, pages 149-172, Bank for International Settlements.
    5. Milani, Fabio, 2012. "Has Globalization Transformed U.S. Macroeconomic Dynamics?," Macroeconomic Dynamics, Cambridge University Press, vol. 16(2), pages 204-229, April.
    6. Martínez-García Enrique, 2018. "Modeling time-variation over the business cycle (1960–2017): an international perspective," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-25, December.
    7. Günes Kamber & Madhusudan Mohanty & James Morley, 2020. "What drives inflation in advanced and emerging market economies?," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation dynamics in Asia and the Pacific, volume 111, pages 21-36, Bank for International Settlements.
    8. Zhang, Chengsi & Zhou, You, 2016. "The Global Slack Hypothesis: New Evidence from China," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 339-348.
    9. Francesco Bianchi & Andrea Civelli, 2013. "Globalization and Inflation: Structural Evidence from a Time Varying VAR Approach," Working Papers 13-20, Duke University, Department of Economics.
    10. Kabukçuoğlu, Ayşe & Martínez-García, Enrique, 2018. "Inflation as a global phenomenon—Some implications for inflation modeling and forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 46-73.
    11. Pym Manopimoke, 2015. "Globalization and International Inflation Dynamics: The Role of the Global Output Gap," PIER Discussion Papers 8, Puey Ungphakorn Institute for Economic Research.
    12. Ayse Kabukcuoglu & Enrique Martínez-García & Mehmet Ali Soytas, 2017. "Exploring the Nexus between Inflation and Globalization under Inflation Targeting through the Lens of New Zealand’s Experience," Koç University-TUSIAD Economic Research Forum Working Papers 1709, Koc University-TUSIAD Economic Research Forum.
    13. Elías Albagli & Alberto Naudon & Rodrigo Vergara, 2015. "Inflation Dynamics in LATAM: A Comparison with Global Trends and Implications for Monetary Policy," Economic Policy Papers Central Bank of Chile 58, Central Bank of Chile.
    14. Mardi Dungey & Denise R Osborn, 2009. "Modelling International Linkages for Large Open Economies: US and Euro Area," Centre for Growth and Business Cycle Research Discussion Paper Series 121, Economics, The University of Manchester.
    15. Raghavan, Mala & Athanasopoulos, George, 2019. "Analysis of shock transmissions to a small open emerging economy using a SVARMA model," Economic Modelling, Elsevier, vol. 77(C), pages 187-203.
    16. Francesco Bianchi & Andrea Civelli, 2014. "Online Appendix to "Globalization and Inflation: Evidence from a Time Varying VAR"," Online Appendices 13-184, Review of Economic Dynamics.
    17. Mardi Dungey & Denise Osborn & Mala Raghavan, 2014. "International Transmissions to Australia: The Roles of the USA and Euro Area," The Economic Record, The Economic Society of Australia, vol. 90(291), pages 421-446, December.
    18. Chen, Changsheng & Girardin, Eric & Mehrotra, Aaron, 2017. "Global slack and open economy Phillips curves – A province-level view from China," China Economic Review, Elsevier, vol. 42(C), pages 74-87.
    19. Gunnella, Vanessa & Al-Haschimi, Alexander & Benkovskis, Konstantins & Chiacchio, Francesco & de Soyres, François & Di Lupidio, Benedetta & Fidora, Michael & Franco-Bedoya, Sebastian & Frohm, Erik & G, 2019. "The impact of global value chains on the euro area economy," Occasional Paper Series 221, European Central Bank.
    20. Kamber, Güneş & Wong, Benjamin, 2020. "Global factors and trend inflation," Journal of International Economics, Elsevier, vol. 122(C).
    21. Gregor Schwerhoff & Mouhamadou Sy, 2013. "The non-monetary side of the global disinflation," Working Papers halshs-00564957, HAL.
    22. Pickering Andrew & Valle Héctor A., 2012. "Openness, Imported Commodities and the Sacrifice Ratio," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-26, March.
    23. Qin, Duo & He, Xinhua, 2013. "Globalisation effect on inflation in the Great Moderation era: New evidence from G10 countries," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-32.
    24. Fabio Busetti & Michele Caivano & Davide Delle Monache, 2019. "Domestic and global determinants of inflation: evidence from expectile regression," Temi di discussione (Economic working papers) 1225, Bank of Italy, Economic Research and International Relations Area.
    25. Carlos A. Medel & Michael Pedersen & Pablo M. Pincheira, 2016. "The Elusive Predictive Ability of Global Inflation," International Finance, Wiley Blackwell, vol. 19(2), pages 120-146, June.
    26. Güneş Kamber & Madhusudan Mohanty & James Morley, 2020. "Have the driving forces of inflation changed in advanced and emerging market economies?," BIS Working Papers 896, Bank for International Settlements.
    27. Mark A. Wynne, 2012. "Five Years of Research on Globalization and Monetary Policy: What Have We Learned?," Annual Report, Globalization and Monetary Policy Institute, Federal Reserve Bank of Dallas, pages 2-17.
    28. Dur, Ayşe & Martínez García, Enrique, 2020. "Mind the gap!—A monetarist view of the open-economy Phillips curve," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    29. Mikolajun, Irena & Lodge, David, 2016. "Advanced economy inflation: the role of global factors," Working Paper Series 1948, European Central Bank.
    30. Murdipi, Rafiqa & Law, Siong Hook, 2016. "Dynamic Linkages between Price Indices and Inflation in Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 50(1), pages 41-52.
    31. Ahmad, Saad & Civelli, Andrea, 2016. "Globalization and inflation: A threshold investigation," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 283-304.
    32. Pym Manopimoke & Wanicha Direkudomsak, 2015. "Thai Inflation Dynamics in a Globalized Economy," PIER Discussion Papers 11, Puey Ungphakorn Institute for Economic Research.
    33. Fabio Milani, 2009. "The Effect of Global Output on U.S. Inflation and Inflation Expectations: A Structural Estimation," Working Papers 080920, University of California-Irvine, Department of Economics.
    34. Szafranek, Karol, 2021. "Evidence on time-varying inflation synchronization," Economic Modelling, Elsevier, vol. 94(C), pages 1-13.

  17. Fabio Milani, 2009. "The Effect of Global Output on U.S. Inflation and Inflation Expectations: A Structural Estimation," Working Papers 080920, University of California-Irvine, Department of Economics.

    Cited by:

    1. Milani, Fabio, 2012. "Has Globalization Transformed U.S. Macroeconomic Dynamics?," Macroeconomic Dynamics, Cambridge University Press, vol. 16(2), pages 204-229, April.
    2. Boufateh, Talel & Saadaoui, Zied, 2021. "The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 102(C).

  18. Fabio Milani, 2009. "Has globalization transformed U.S. macroeconomic dynamics?," Globalization Institute Working Papers 32, Federal Reserve Bank of Dallas.

    Cited by:

    1. Fabio Milani & Sung Ho Park, 2013. "The Effects of Globalization on Macroeconomic Dynamics in a Trade-Dependent Economy: the Case of Korea," Working Papers 141502, University of California-Irvine, Department of Economics.
    2. Castelnuovo, Efrem, 2010. "Tracking U.S. inflation expectations with domestic and global indicators," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1340-1356, November.
    3. Chengsi Zhang & Ke Song & Fang Wang, 2015. "Economic Globalization and Inflation in China: A Multivariate Approach," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(3), pages 79-96, May.
    4. Ayse Kabukcuoglu & Enrique Martínez-García, 2016. "What Helps Forecast U.S. Inflation?—Mind the Gap!," Koç University-TUSIAD Economic Research Forum Working Papers 1615, Koc University-TUSIAD Economic Research Forum.
    5. Best, Gabriela, 2017. "Policy Preferences And Policy Makers' Beliefs: The Great Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 21(8), pages 1957-1995, December.
    6. Kabukçuoğlu, Ayşe & Martínez-García, Enrique, 2018. "Inflation as a global phenomenon—Some implications for inflation modeling and forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 87(C), pages 46-73.
    7. Ayse Kabukcuoglu & Enrique Martínez-García & Mehmet Ali Soytas, 2017. "Exploring the Nexus between Inflation and Globalization under Inflation Targeting through the Lens of New Zealand’s Experience," Koç University-TUSIAD Economic Research Forum Working Papers 1709, Koc University-TUSIAD Economic Research Forum.
    8. Reitz, Stefan & Slopek, Ulf D., 2012. "Fixing the Phillips curve: The case of downward nominal wage rigidity in the US," Kiel Working Papers 1795, Kiel Institute for the World Economy (IfW Kiel).
    9. Abbas, Syed K. & Bhattacharya, Prasad Sankar & Sgro, Pasquale, 2016. "The new Keynesian Phillips curve: An update on recent empirical advances," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 378-403.
    10. Ha,Jongrim & Ivanova,Anna & Ohnsorge,Franziska Lieselotte & Unsal Portillo Ocando,Derya Filiz, 2019. "Inflation : Concepts, Evolution, and Correlates," Policy Research Working Paper Series 8738, The World Bank.
    11. Dur, Ayşe & Martínez García, Enrique, 2020. "Mind the gap!—A monetarist view of the open-economy Phillips curve," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    12. Wen Zhang, 2020. "Can trade openness affect the monetary transmission mechanism?," Review of International Economics, Wiley Blackwell, vol. 28(2), pages 341-364, May.
    13. Lei Lv & Zhixin Liu & Yingying Xu, 2019. "Technological progress, globalization and low-inflation: Evidence from the United States," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-19, April.

  19. Fabio Milani, 2008. "Learning about the Interdependence between the Macroeconomy and the Stock Market," Working Papers 070819, University of California-Irvine, Department of Economics.

    Cited by:

    1. Funke, Michael & Paetz, Michael & Pytlarczyk, Ernest, 2009. "Stock market wealth effects in an estimated DSGE model for Hong Kong," BOFIT Discussion Papers 14/2009, Bank of Finland Institute for Emerging Economies (BOFIT).
    2. Fabio Milani, 2009. "Expectations, Learning, and the Changing Relationship between Oil Prices and the Macroeconomy," Working Papers 080923, University of California-Irvine, Department of Economics.
    3. Winkler, Fabian, 2020. "The role of learning for asset prices and business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 42-58.
    4. Lengnick, Matthias & Wohltmann, Hans-Werner, 2010. "Agent-based financial markets and New Keynesian macroeconomics: A synthesis," Economics Working Papers 2010-10, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    6. Dai, Meixing & Spyromitros, Eleftherios, 2012. "A Note On Monetary Policy, Asset Prices, And Model Uncertainty," Macroeconomic Dynamics, Cambridge University Press, vol. 16(5), pages 777-790, November.
    7. Giannitsarou, Chryssi & CHALLE, Edouard, 2011. "Stock Prices and Monetary Policy Shocks: A General Equilibrium Approach," CEPR Discussion Papers 8387, C.E.P.R. Discussion Papers.
    8. Milani, Fabio, 2011. "The impact of foreign stock markets on macroeconomic dynamics in open economies: A structural estimation," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 111-129, February.
    9. Castelnuovo, Efrem & Nisticò, Salvatore, 2010. "Stock market conditions and monetary policy in a DSGE model for the U.S," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1700-1731, September.
    10. Francesco Furlanetto, 2011. "Does Monetary Policy React to Asset Prices? Some International Evidence," International Journal of Central Banking, International Journal of Central Banking, vol. 7(3), pages 91-111, September.
    11. Castelnuovo, Efrem, 2013. "Monetary policy shocks and financial conditions: A Monte Carlo experiment," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 282-303.
    12. Marine Charlotte André & Meixing Dai, 2017. "Learning, optimal monetary delegation and stock prices dynamics," Working Papers of BETA 2017-37, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    13. Naira Kotb & Christian R. Proaño, 2023. "Capital‐constrained loan creation, household stock market participation and monetary policy in a behavioural new Keynesian model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3789-3807, October.
    14. Fabio Milani, 2009. "The Effect of Global Output on U.S. Inflation and Inflation Expectations: A Structural Estimation," Working Papers 080920, University of California-Irvine, Department of Economics.
    15. Czerniak, Adam & Borowski, Jakub & Boratyński, Jakub & Rosati, Dariusz, 2020. "Asset price bubbles in a monetary union: Mind the convergence gap," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 288-302.

  20. Fabio Milani, 2008. "Does Global Slack Matter More than Domestic Slack in Determining U.S. Inflation?," Working Papers 080910, University of California-Irvine, Department of Economics.

    Cited by:

    1. David Finck & Peter Tillmann, 2022. "The Role of Global and Domestic Shocks for Inflation Dynamics: Evidence from Asia," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1181-1208, October.
    2. Raphael A. Auer & Aaron Mehrotra, 2014. "Trade Linkages and the Globalisation of Inflation in Asia and the Pacific," CESifo Working Paper Series 4769, CESifo.
    3. Fabio Milani, 2009. "Global slack and domestic inflation rates: a structural investigation for G-7 countries," Globalization Institute Working Papers 33, Federal Reserve Bank of Dallas.
    4. Chen, Changsheng & Girardin, Eric & Mehrotra, Aaron, 2017. "Global slack and open economy Phillips curves – A province-level view from China," China Economic Review, Elsevier, vol. 42(C), pages 74-87.
    5. Wolfgang Pollan, 2013. "US Inflation and Crude Oil Prices. An International Perspective," WIFO Working Papers 451, WIFO.
    6. Abbas, Syed K. & Bhattacharya, Prasad Sankar & Sgro, Pasquale, 2016. "The new Keynesian Phillips curve: An update on recent empirical advances," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 378-403.
    7. Syed Kanwar Abbas, 2018. "Global slack hypothesis: evidence from China, India and Pakistan," Empirical Economics, Springer, vol. 54(2), pages 593-627, March.
    8. Jane Ihrig & Steven B. Kamin & Deborah Lindner & Jaime Marquez, 2010. "Some Simple Tests of the Globalization and Inflation Hypothesis," International Finance, Wiley Blackwell, vol. 13(3), pages 343-375, December.
    9. David Finck & Peter Tillmann, 2019. "The Role of Global and Domestic Shocks for In flation Dynamics: Evidence from Asia," MAGKS Papers on Economics 201904, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    10. Mikolajun, Irena & Lodge, David, 2016. "Advanced economy inflation: the role of global factors," Working Paper Series 1948, European Central Bank.
    11. Byrne, Joseph P. & Kaneez, Fatima & Kontonikas, Alexandros, 2010. "IInflation and Globalisation: A Dynamic Factor Model with Stochastic Volatility," SIRE Discussion Papers 2010-05, Scottish Institute for Research in Economics (SIRE).

  21. Fabio Milani, 2007. "Political Business Cycles in the New Keynesian Model," Working Papers 070805, University of California-Irvine, Department of Economics.

    Cited by:

    1. Gopal K. Basak & Mrinal K. Ghosh & Diganta Mukherjee, 2019. "A Stochastic Model with Inflation, Growth and Technology for the Political Business Cycle," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 125-140, January.
    2. Jean-Jacques Tony Ekomie & Assoumou Ondo, 2019. "Political Budget Cycles: The Case of Gabon," Research in World Economy, Research in World Economy, Sciedu Press, vol. 10(1), pages 31-53, June.
    3. Marlen R. Reyes Hernández & Pablo Mejía Reyes & Liliana Rendón Rojas, 2017. "Is there any evidence of political-business cycle in the sectorial employment of Mexico, 1998-2013?," Contaduría y Administración, Accounting and Management, vol. 62(1), pages 25-43, Enero-Mar.
    4. Funashima, Yoshito, 2015. "The Fed-Induced Political Business Cycle," MPRA Paper 63654, University Library of Munich, Germany.
    5. Funashima, Yoshito, 2016. "The Fed-induced political business cycle: Empirical evidence from a time–frequency view," Economic Modelling, Elsevier, vol. 54(C), pages 402-411.
    6. Peter Kukuk & Adam Gersl, 2011. "Political Pressure on the National Bank of Slovakia," Working Papers IES 2011/29, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2011.
    7. Funashima, Yoshito, 2015. "Governmentally amplified output volatility," MPRA Paper 65330, University Library of Munich, Germany.
    8. Funashima, Yoshito, 2016. "Governmentally amplified output volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 469-478.
    9. Celso José Costa Junior & Alejandro C. García Cintado & Manuel Alejandro Hidalgo Pérez, 2019. "Political-Business Cycles in BRICS Economies: Evidence from Brazil," Working Papers 19.09, Universidad Pablo de Olavide, Department of Economics.

  22. Fabio Milani, 2007. "Learning and Time-Varying Macroeconomic Volatility," Working Papers 070802, University of California-Irvine, Department of Economics.

    Cited by:

    1. Fabio Milani, 2011. "Expectation Shocks and Learning as Drivers of the Business Cycle," Economic Journal, Royal Economic Society, vol. 121(552), pages 379-401, May.
    2. Marine Charlotte André & Meixing Dai, 2016. "Learning, robust monetray policy and the merit of precaution," Working Papers of BETA 2016-54, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Berardi, Michele & Galimberti, Jaqueson K., 2017. "Empirical calibration of adaptive learning," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 219-237.
    4. Dave, Chetan & Malik, Samreen, 2017. "A tale of fat tails," European Economic Review, Elsevier, vol. 100(C), pages 293-317.
    5. Jaqueson Galimberti, 2021. "Initial Beliefs Uncertainty and Information Weighting in the Estimation of Models with Adaptive Learning," Working Papers 2021-01, Auckland University of Technology, Department of Economics.
    6. Rava Azeredo da Silveira & Yeji Sung & Michael Woodford, 2020. "Optimally Imprecise Memory and Biased Forecasts," CESifo Working Paper Series 8709, CESifo.
    7. George W. Evans & Seppo Honkapohja, 2008. "Robust Learning Stability with Operational Monetary Policy Rules," CDMA Conference Paper Series 0808, Centre for Dynamic Macroeconomic Analysis.
    8. Cole, Stephen J., 2016. "The Limits of Central Bank Forward Guidance under Learning," Working Papers and Research 2016-02, Marquette University, Center for Global and Economic Studies and Department of Economics.
    9. Paul De Grauwe, 2008. "Macroeconomic Modeling when Agents are Imperfectly Informed," CESifo Working Paper Series 2318, CESifo.
    10. Best, Gabriela, 2017. "Policy Preferences And Policy Makers' Beliefs: The Great Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 21(8), pages 1957-1995, December.
    11. Leonid Serkov & Sergey Krasnykh, 2023. "The Specific Behavior of Economic Agents with Heterogeneous Expectations in the New Keynesian Model with Rigid Prices and Wages," Mathematics, MDPI, vol. 11(4), pages 1-17, February.
    12. Bullard, James & Singh, Aarti, 2009. "Learning and the Great Moderation," Working Papers 2009-01, University of Sydney, School of Economics.
    13. Greta Meggiorini & Fabio Milani, 2021. "Behavioral New Keynesian Models: Learning vs. Cognitive Discounting," CESifo Working Paper Series 9039, CESifo.
    14. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    15. Paul De Grauwe, 2010. "Booms and Busts: New Keynesian and Behavioral Explanations," CESifo Working Paper Series 3293, CESifo.
    16. Jolana Stejskalova, 2016. "Impact of the information on tax burden on the stock market," MENDELU Working Papers in Business and Economics 2016-62, Mendel University in Brno, Faculty of Business and Economics.
    17. Harrison, Richard & Taylor, Tim, 2012. "Misperceptions, heterogeneous expectations and macroeconomic dynamics," Bank of England working papers 449, Bank of England.
    18. Eric Gaus, 2012. "Robust Stability of Monetary Policy Rules under Adaptive Learning," Working Papers 13-01, Ursinus College, Department of Economics, revised 14 Dec 2012.
    19. Leonid A. Serkov, 2023. "Effect of sticky Wages on the Behavior of Economic Agents with Heterogeneous Expectations," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(2), pages 450-473.
    20. Audzei, Volha, 2023. "Learning and cross-country correlations in a multi-country DSGE model," Economic Modelling, Elsevier, vol. 120(C).
    21. Eric Gaus & Arunima Sinha, 2015. "Characterizing Investor Expectations for Assets with Varying Risk," Working Papers 15-01, Ursinus College, Department of Economics.
    22. André, Marine Charlotte & Dai, Meixing, 2017. "Is central bank conservatism desirable under learning?," Economic Modelling, Elsevier, vol. 60(C), pages 281-296.
    23. Richard Harrison & Haroon Mumtaz & Tony Yates, 2008. "Using time-varying VARs to diagnose the source of ‘Great Moderations’: a Monte Carlo analysis," CDMA Conference Paper Series 0814, Centre for Dynamic Macroeconomic Analysis.
    24. Jaqueson Kingeski Galimberti, 2019. "An approximation of the distribution of learning estimates in macroeconomic models," KOF Working papers 19-453, KOF Swiss Economic Institute, ETH Zurich.
    25. Margaret Jacobson, 2019. "Beliefs, Aggregate Risk, and the U.S. Housing Boom," 2019 Meeting Papers 1549, Society for Economic Dynamics.
    26. Richard Higgins, C., 2020. "Financial frictions and changing macroeconomic volatility," Journal of Macroeconomics, Elsevier, vol. 64(C).
    27. Cole, Stephen, 2015. "Learning and the effectiveness of central bank forward guidance," MPRA Paper 65207, University Library of Munich, Germany.
    28. Michele Berardi, 2020. "A probabilistic interpretation of the constant gain learning algorithm," Bulletin of Economic Research, Wiley Blackwell, vol. 72(4), pages 393-403, October.
    29. Best, Gabriela & Hur, Joonyoung, 2019. "Bad luck, bad policy, and learning? A Markov-switching approach to understanding postwar U.S. macroeconomic dynamics," European Economic Review, Elsevier, vol. 119(C), pages 55-78.
    30. Hamza Bennani, 2020. "Central Bank Communication in the Media and Investor Sentiment," Post-Print hal-02615852, HAL.
    31. Cone, Thomas E., 2022. "Learning with unobserved regimes," Journal of Macroeconomics, Elsevier, vol. 73(C).
    32. Tortorice, Daniel L, 2018. "The business cycle implications of fluctuating long run expectations," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 266-291.
    33. Paul De Grauwe, 2014. "Booms and Busts in Economic Activity: A Behavioral Explanation," World Scientific Book Chapters, in: Exchange Rates and Global Financial Policies, chapter 19, pages 521-556, World Scientific Publishing Co. Pte. Ltd..
    34. Gaus, Eric & Sinha, Arunima, 2018. "What does the yield curve imply about investor expectations?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 248-265.
    35. Paul Grauwe, 2011. "Animal spirits and monetary policy," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 47(2), pages 423-457, June.
    36. Dave, Chetan & Sorge, Marco, 2023. "Fat Tailed DSGE Models: A Survey and New Results," Working Papers 2023-3, University of Alberta, Department of Economics.
    37. Stephen J. Cole & Fabio Milani, 2020. "Heterogeneity in Individual Expectations, Sentiment, and Constant-Gain Learning," CESifo Working Paper Series 8343, CESifo.
    38. Paul De Grauwe, 2010. "Top-Down versus Bottom-Up Macroeconomics," CESifo Working Paper Series 3020, CESifo.
    39. De Grauwe, Paul, 2008. "DSGE-Modelling: when agents are imperfectly informed," Working Paper Series 897, European Central Bank.
    40. Ilabaca, Francisco & Meggiorini, Greta & Milani, Fabio, 2020. "Bounded rationality, monetary policy, and macroeconomic stability," Economics Letters, Elsevier, vol. 186(C).
    41. Leonid Serkov & Sergey Krasnykh, 2023. "Peculiarity of Behavior of Economic Agents under Cognitive Constraints in a Semi-Open New Keynesian Model," Mathematics, MDPI, vol. 12(1), pages 1-22, December.
    42. Marine Charlotte André & Meixing Dai, 2015. "Central bank accountability under adaptive learning," Working Papers of BETA 2015-32, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    43. Michele Berardi & Jaqueson K Galimberti, 2016. "On the Initialization of Adaptive Learning in Macroeconomic Models," KOF Working papers 16-422, KOF Swiss Economic Institute, ETH Zurich.
    44. Liu, Xiaochun, 2019. "On tail fatness of macroeconomic dynamics," Journal of Macroeconomics, Elsevier, vol. 62(C).
    45. Daniel L. Tortorice, 2019. "Long-Run Expectations, Learning and the US Housing Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(4), pages 497-531, October.
    46. Fabio Milani & Ashish Rajbhandari, 2012. "Expectation Formation and Monetary DSGE Models: Beyond the Rational Expectations Paradigm," Working Papers 111212, University of California-Irvine, Department of Economics.
    47. Gáti, Laura, 2022. "Monetary policy & anchored expectations: an endogenous gain learning model," Working Paper Series 2685, European Central Bank.
    48. Agnieszka Markiewicz, 2012. "Model Uncertainty And Exchange Rate Volatility," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 815-844, August.
    49. Paul De Grauwe, 2012. "Lectures on Behavioral Macroeconomics," Economics Books, Princeton University Press, edition 1, volume 1, number 9891.
    50. Caprioli, Francesco, 2015. "Optimal fiscal policy under learning," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 101-124.
    51. Eric Gaus, 2013. "Time-Varying Parameters and Endogenous Learning Algorithms," Working Papers 13-02, Ursinus College, Department of Economics.
    52. Fabio Milani, 2009. "The Effect of Global Output on U.S. Inflation and Inflation Expectations: A Structural Estimation," Working Papers 080920, University of California-Irvine, Department of Economics.
    53. Jolana Stejskalová, 2017. "The Impact of Attention to News about Tax Changes on the Stock Market," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(6), pages 2113-2121.

  23. Fabio Milani, 2006. "The Evolution of the Fed's Inflation Target in an Estimated Model under RE and Learning," Working Papers 060704, University of California-Irvine, Department of Economics.

    Cited by:

    1. Taeyoung Doh, 2007. "What does the yield curve tell us about the Federal Reserve's implicit inflation target?," Research Working Paper RWP 07-10, Federal Reserve Bank of Kansas City.
    2. Todd E. Clark & Troy Davig, 2008. "An empirical assessment of the relationships among inflation and short- and long-term expectations," Research Working Paper RWP 08-05, Federal Reserve Bank of Kansas City.
    3. Qureshi, Irfan, 2015. "What are monetary policy shocks?," The Warwick Economics Research Paper Series (TWERPS) 1086, University of Warwick, Department of Economics.
    4. Qureshi, Irfan, 2015. "What are monetary policy shocks?," Economic Research Papers 270008, University of Warwick - Department of Economics.
    5. Hagedorn, Marcus, 2011. "Optimal disinflation in new Keynesian models," Journal of Monetary Economics, Elsevier, vol. 58(3), pages 248-261.

  24. Favero, Carlo A. & Milani, Fabio, 2005. "Parameter Instability, Model Uncertainty and the Choice of Monetary Policy," CEPR Discussion Papers 4909, C.E.P.R. Discussion Papers.

    Cited by:

    1. Fabio Milani, 2004. "Monetary Policy with a Wider Information Set: a Bayesian Model Averaging Approach," Macroeconomics 0401004, University Library of Munich, Germany.
    2. Oreste Napolitano & Alberto Montagnoli, 2010. "The European Unemployment Gap and the Role of Monetary Policy," Economics Bulletin, AccessEcon, vol. 30(2), pages 1346-1358.
    3. Arnulfo Rodriguez & Pedro N. Rodriguez, 2006. "Recursive Thick Modeling and the Choice of Monetary Policy in Mexico," Computing in Economics and Finance 2006 30, Society for Computational Economics.
    4. Efrem Castelnuovo, 2003. "Taylor Rules and Interest Rate Smoothing in the US and EMU," Macroeconomics 0303002, University Library of Munich, Germany.
    5. Efrem Castelnuovo, 2003. "Squeezing the Interest Rate Smoothing Weight with a Hybrid Expectations Model," Working Papers 2003.6, Fondazione Eni Enrico Mattei.
    6. Castelnuovo Efrem, 2006. "The Fed's Preference for Policy Rate Smoothing: Overestimation Due to Misspecification?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(2), pages 1-22, August.
    7. Rodríguez Arnulfo & Rodríguez Pedro N., 2007. "Recursive Thick Modeling and the Choice of Monetary Policy in Mexico," Working Papers 2007-04, Banco de México.

  25. Fabio Milani, 2005. "Adaptive Learning and Inflation Persistence," Working Papers 050607, University of California-Irvine, Department of Economics.

    Cited by:

    1. Baksa, Dániel & Munkácsi, Zsuzsa, 2020. "More Gray, More Volatile? Aging and (Optimal) Monetary Policy," Dynare Working Papers 58, CEPREMAP.
    2. Kevin D. Sheedy, 2007. "Intrinsic Inflation Persistence," CEP Discussion Papers dp0837, Centre for Economic Performance, LSE.
    3. Milani, Fabio, 2008. "Learning, monetary policy rules, and macroeconomic stability," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3148-3165, October.
    4. Pfajfar, Damjan & Santoro, Emiliano, 2010. "Heterogeneity, learning and information stickiness in inflation expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 426-444, September.
    5. Lombardi, Marco J. & Sgherri, Silvia, 2007. "(Un)naturally low? Sequential Monte Carlo tracking of the US natural interest rate," Working Paper Series 794, European Central Bank.
    6. Michael Woodford, 2007. "Interpreting Inflation Persistence: Comments on the Conference on "Quantitative Evidence on Price Determination"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 203-210, February.
    7. Dave, Chetan & Malik, Samreen, 2017. "A tale of fat tails," European Economic Review, Elsevier, vol. 100(C), pages 293-317.
    8. Chryssi Giannitsarou & Eva Carceles-Poveda, 2004. "Adaptive Learning in Practice," Computing in Economics and Finance 2004 271, Society for Computational Economics.
    9. Luca FANELLI & Giulio PALOMBA, 2007. "Simulation-Based Tests of Forward-Looking Models Under VAR Learning Dynamics," Working Papers 298, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    10. George W. Evans & Seppo Honkapohja, 2008. "Robust Learning Stability with Operational Monetary Policy Rules," CDMA Conference Paper Series 0808, Centre for Dynamic Macroeconomic Analysis.
    11. Kevin J. Lansing, 2006. "Time-Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," Computing in Economics and Finance 2006 488, Society for Computational Economics.
    12. Frédérique Bec & Patrick Kanda, 2019. "Is inflation driven by survey-based, VAR-based or myopic expectations?," Working Papers hal-02175836, HAL.
    13. Honkapohja, Seppo & Evans, George W., 2008. "Expectations, Learning and Monetary Policy: An Overview of Recent Rersearch," CEPR Discussion Papers 6640, C.E.P.R. Discussion Papers.
    14. Bec, Frédérique & Kanda, Patrick, 2020. "Is inflation driven by survey-based, VAR-based or myopic expectations? An empirical assessment from US real-time data," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    15. Cars Hommes & Kostas Mavromatis & Tolga Özden & Mei Zhu, 2023. "Behavioral learning equilibria in New Keynesian models," Quantitative Economics, Econometric Society, vol. 14(4), pages 1401-1445, November.
    16. Guido Ascari & Argia M. Sbordone, 2013. "The Macroeconomics of Trend Inflation," DEM Working Papers Series 053, University of Pavia, Department of Economics and Management.
    17. Ding, Sitong, 2018. "Bounded rationality in rules of price adjustment and the Phillips Curve," LSE Research Online Documents on Economics 102080, London School of Economics and Political Science, LSE Library.
    18. Fabio Milani, 2006. "The Evolution of the Fed's Inflation Target in an Estimated Model under RE and Learning," Working Papers 060704, University of California-Irvine, Department of Economics.
    19. Echavarría-Soto, Juan José & Misas A., Martha & López-Enciso, Enrique Antonio, 2011. "La persistencia estadística de la inflación en Colombia," Chapters, in: López Enciso, Enrique & Ramírez Giraldo, María Teresa (ed.), Formación de precios y salarios en Colombia T.1, volume 1, chapter 1, pages 3-44, Banco de la Republica de Colombia.
    20. Milani, Fabio, 2006. "A Bayesian DSGE Model with Infinite-Horizon Learning: Do "Mechanical" Sources of Persistence Become Superfluous?," MPRA Paper 809, University Library of Munich, Germany.
    21. J. Huston McCulloch, 2005. "The Kalman Foundations of Adaptive Least Squares: Applications to Unemployment and Inflation," Computing in Economics and Finance 2005 239, Society for Computational Economics.
    22. Rodrigo Caputo & Juan Pablo Medina & Claudio Soto., 2010. "The Financial Accelerator Under Learning and The Role of Monetary Policy," Working Papers Central Bank of Chile 590, Central Bank of Chile.
    23. Gelfer, Sacha, 2020. "The effects of professional forecast dissemination on macroeconomic volatility," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 131-156.
    24. Fanelli, Luca, 2007. "Evaluating the New Keynesian Phillips Curve under VAR-based learning," MPRA Paper 1616, University Library of Munich, Germany.
    25. Eric Schaling & Marco Hoeberichts, 2010. "Why Speed Doesn’t Kill: Learning to Believe in Disinflation," De Economist, Springer, vol. 158(1), pages 23-42, April.
    26. Shahid, Muhammad & Qayyum, Abdul & Shahid Malik, Waseem, 2016. "Fiscal and Monetary Policy Interactions in Pakistan Using a Dynamic Stochastic General Equilibrium Framework," MPRA Paper 85549, University Library of Munich, Germany, revised 2017.
    27. PKG HARISCHANDRA & George CHOULIARAKIS, 2008. "Do Exchange Rate Regimes Matter for Inflation Persistence? Theory and Evidence from the History of UK and US Inflation," EcoMod2008 23800100, EcoMod.
    28. Fabio Milani, 2005. "Expectations, Learning and Macroeconomic Persistence," Macroeconomics 0510022, University Library of Munich, Germany.
    29. Emiliano Santoro & Damjan Pfajfar, 2006. "Heterogeneity and learning in inflation expectation formation: an empirical assessment," Department of Economics Working Papers 0607, Department of Economics, University of Trento, Italia.
    30. Thorvardur Tjörvi Ólafsson, 2006. "The New Keynesian Phillips Curve: In Search of Improvements and Adaptation to the Open Economy," Economics wp31_tjorvi, Department of Economics, Central bank of Iceland.
    31. Dieppe, Alistair & Pandiella, Alberto González & Hall, Stephen & Willman, Alpo, 2013. "Limited information minimal state variable learning in a medium-scale multi-country model," Economic Modelling, Elsevier, vol. 33(C), pages 808-825.

  26. Francesco Belviso & Fabio Milani, 2005. "Structural Factor-Augmented VAR (SFAVAR) and the Effects of Monetary Policy," Macroeconomics 0503023, University Library of Munich, Germany.

    Cited by:

    1. Sigal Ribon, 2011. "The Effect of Monetary Policy on Inflation: A Factor Augmented VAR Approach using disaggregated data," Bank of Israel Working Papers 2011.12, Bank of Israel.
    2. Hilde C. Bjørnland & Julia Zhulanova, 2019. "The shale oil boom and the U.S. economy: Spillovers and time-varying effects," Working Paper 2019/14, Norges Bank.
    3. Jackson, Laura E. & Owyang, Michael T. & Zubairy, Sarah, 2018. "Debt and stabilization policy: Evidence from a Euro Area FAVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 67-91.
    4. Dimitris Korobilis, 2009. "Assessing the Transmission of Monetary Policy Shocks Using Dynamic Factor Models," Working Paper series 35_09, Rimini Centre for Economic Analysis.
    5. Ronald A. Ratti & Joaquin L. Vespignani, 2015. "What drives the global interest rate," Globalization Institute Working Papers 241, Federal Reserve Bank of Dallas.
    6. Ratti, Ronald A. & Vespignani, Joaquin L., 2015. "Commodity prices and BRIC and G3 liquidity: A SFAVEC approach," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 18-33.
    7. Camilo Alberto Cárdenas-Hurtado & María Alejandra Hernández-Montes, 2019. "Understanding the Consumer Confidence Index in Colombia: A structural FAVAR analysis," Borradores de Economia 1063, Banco de la Republica de Colombia.
    8. Eickmeier, Sandra & Hofmann, Boris, 2010. "Monetary policy, housing booms and financial (im)balances," Discussion Paper Series 1: Economic Studies 2010,07, Deutsche Bundesbank.
    9. Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Oil prices and global factor macroeconomic variables," Energy Economics, Elsevier, vol. 59(C), pages 198-212.
    10. Tan, Zhengxun & Tang, Qianqian & Meng, Juan, 2022. "The effect of monetary policy on China’s housing prices before and after 2017: A dynamic analysis in DSGE model," Land Use Policy, Elsevier, vol. 113(C).
    11. Jithin P & Suresh Babu M, 2020. "Testing for the Effectiveness of Inflation Targeting in India: A Factor Augmented Vector Autoregression (FAVAR) Approach," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(3), pages 163-182.
    12. Jalali-Naini , Ahmad. R. & Hemati , Maryam, 2012. "The Effect of Monetary Shocks on Disaggregated Prices in a Data Rich Environment: a Bayesian FAVAR Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 6(4), pages 27-60, July.
    13. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    14. Masud Alam, 2021. "Output, Employment, and Price Effects of U.S. Narrative Tax Changes: A Factor-Augmented Vector Autoregression Approach," Papers 2106.10844, arXiv.org.
    15. Hansen, Stephen & McMahon, Michael, 2015. "Shocking language: Understanding the macroeconomic effects of central bank communication," Economic Research Papers 269727, University of Warwick - Department of Economics.
    16. Soojin Jo & Lilia Karnizova & Abeer Reza, 2017. "Industry Effects of Oil Price Shocks: Re-Examination," Working Papers 1710, Federal Reserve Bank of Dallas.
    17. Kemal Bagzibagli, 2012. "Monetary Transmission Mechanism and Time Variation in the Euro Area," Discussion Papers 12-12, Department of Economics, University of Birmingham.
    18. Eric Girardin & Zakaria Moussa, 2010. "Quantitative easing works: Lessons from the unique experience in Japan 2001-2006," Working Papers halshs-00459384, HAL.
    19. Galariotis, Emilios & Makrichoriti, Panagiota & Spyrou, Spyros, 2018. "The impact of conventional and unconventional monetary policy on expectations and sentiment," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 1-20.
    20. Mönch, Emanuel, 2005. "Forecasting the yield curve in a data-rich environment: a no-arbitrage factor-augmented VAR approach," Working Paper Series 544, European Central Bank.
    21. Liosi, Konstantina, 2023. "The sources of economic uncertainty: Evidence from eurozone markets," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
    22. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
    23. Petrovska Magdalena & Tonovska Jasna & Nikolov Miso & Sulejmani Artan, 2022. "Evaluating Monetary Policy Effectiveness in North Macedonia: Evidence from a Bayesian Favar Framework," South East European Journal of Economics and Business, Sciendo, vol. 17(2), pages 67-82, December.
    24. Sergio Iván Prada & Julio C. Alonso & Julián Fernández, 2019. "Exchange rate pass-through into consumer healthcare prices in Colombia," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 38(77), pages 523-550, July.
    25. Tomas Havranek & Marek Rusnak, 2012. "Transmission Lags of Monetary Policy: A Meta-Analysis," Working Papers IES 2012/27, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2012.
    26. Wang, Yu-Min & Lin, Che-Chun & Tsai, I-Chun, 2023. "State transformation of information spillover in asset markets and effective dynamic hedging strategies," International Review of Financial Analysis, Elsevier, vol. 89(C).
    27. Martin Bruns, 2019. "Proxy VAR Models in a Data-Rich Environment," Discussion Papers of DIW Berlin 1831, DIW Berlin, German Institute for Economic Research.
    28. Hacioglu, Sinem & Tuzcuoglu, Kerem, 2016. "Interpreting the latent dynamic factors by threshold FAVAR model," Bank of England working papers 622, Bank of England.
    29. Mr. Sohrab Rafiq, 2013. "The Growth and Stabilization Properties of Fiscal Policy in Malaysia," IMF Working Papers 2013/149, International Monetary Fund.
    30. Dedu, Vasile & Stoica, Tiberiu, 2014. "The Impact of Monetaru Policy on the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 71-86, June.
    31. Marie-Louise Djigbenou, 2014. "Determinants of Global Liquidity Dynamics:a FAVAR approach," Working Papers hal-00956314, HAL.
    32. Krokida, Styliani-Iris & Makrychoriti, Panagiota & Spyrou, Spyros, 2020. "Monetary policy and herd behavior: International evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 386-417.
    33. Ronald A. Ratti & Joaquin L. Vespignani, 2014. "Oil prices and the economy: A global perspective," CAMA Working Papers 2014-41, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    34. Valls Pereira, Pedro L. & da Silva Fonseca, Marcelo Gonçalves, 2012. "Credit Shocks and Monetary Policy in Brazil: A Structural Favar Approach," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(2), April.
    35. Wilmar Alexander Cabrera Rodríguez & Luis Fernando Melo Velandia & Daniel Parra Amado, 2014. "Relación entre el riesgo sistémico del sistema financiero y el sector real: un enfoque FAVAR," Borradores de Economia 11142, Banco de la Republica.
    36. Tang, Chun & Liu, Xiaoxing & Zhou, Donghai, 2022. "Financial market resilience and financial development: A global perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    37. Moussa, Zakaria, 2010. "The Japanese Quantitative Easing Policy under Scrutiny: A Time-Varying Parameter Factor-Augmented VAR Model," MPRA Paper 29429, University Library of Munich, Germany.
    38. Dominik Bertsche, 2019. "The effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approachThe effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approach," Working Paper Series of the Department of Economics, University of Konstanz 2019-06, Department of Economics, University of Konstanz.
    39. Dimitris Korobilis, 2018. "Machine Learning Macroeconometrics: A Primer," Working Paper series 18-30, Rimini Centre for Economic Analysis.
    40. Hongyi Chen & Andrew Tsang, 2016. "The Impact of US Monetary Policy and Other External Shocks on the Hong Kong Economy: A Factor-augmented VAR Approach," Working Papers 092016, Hong Kong Institute for Monetary Research.
    41. Goran Petrevski & Jane Bogoev & Dragan Tevdovski, 2015. "The transmission of foreign shocks to South Eastern European economies," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 747-767, November.
    42. Sandra Eickmeier & Leonardo Gambacorta & Boris Hofmann, 2013. "Understanding Global Liquidity," BIS Working Papers 402, Bank for International Settlements.
    43. Fabio Milani & John Treadwell, 2012. "The Effects of Monetary Policy “News” and “Surprises”," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1667-1692, December.
    44. Yury Achkasov, 2016. "Nowcasting of the Russian GDP Using the Current Statistics: Approach Modification," Bank of Russia Working Paper Series wps8, Bank of Russia.
    45. Mumtaz, Haroon, 2010. "Evolving UK macroeconomic dynamics: a time-varying factor augmented VAR," Bank of England working papers 386, Bank of England.
    46. Mr. Sohrab Rafiq, 2015. "Monetary Policy Transmission and Financial Stability in a LIC: The Case of Bangladesh," IMF Working Papers 2015/231, International Monetary Fund.
    47. Piyachart Phiromswad & Takeshi Yagihashi, 2016. "Empirical identification of factor models," Empirical Economics, Springer, vol. 51(2), pages 621-658, September.
    48. Byoungsoo Cho, 2020. "The Monetary Policy Reaction Function in Korea with Multi-level Factors," Korean Economic Review, Korean Economic Association, vol. 36, pages 353-376.
    49. Masud Alam, 2021. "Heterogeneous Responses to the U.S. Narrative Tax Changes: Evidence from the U.S. States," Papers 2107.13678, arXiv.org.
    50. Masud Alam, 2021. "Time Varying Risk in U.S. Housing Sector and Real Estate Investment Trusts Equity Return," Papers 2107.10455, arXiv.org.
    51. McCallum, Andrew & Smets, Frank, 2007. "Real wages and monetary policy transmission in the euro area," Kiel Working Papers 1360, Kiel Institute for the World Economy (IfW Kiel).
    52. Juan S. Holguín & Jorge M. Uribe, 2020. "The credit supply channel of monetary policy: evidence from a FAVAR model with sign restrictions," Empirical Economics, Springer, vol. 59(5), pages 2443-2472, November.
    53. Mari L. Robertson, 2019. "A Quest For Unfettered Credit: How Monetary Policy Drives Credit Risk Transfer Of Structured Finance Products," Contemporary Economic Policy, Western Economic Association International, vol. 37(1), pages 138-155, January.
    54. Ngozi Frances Obafemi & Eugene Okoi Ifere, 2015. "Monetary Policy Transmission Mechanism in Nigeria: A Comparative Analysis," Research in World Economy, Research in World Economy, Sciedu Press, vol. 6(4), pages 93-103, December.
    55. Rafiq Sohrab, 2012. "Is Discretionary Fiscal Policy in Japan Effective?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-49, August.
    56. Bruns, Martin, 2021. "Proxy Vector Autoregressions in a Data-rich Environment," Journal of Economic Dynamics and Control, Elsevier, vol. 123(C).
    57. Marc Anderes, 2021. "Housing Demand Shocks and Households Balance Sheets," KOF Working papers 21-492, KOF Swiss Economic Institute, ETH Zurich.

  27. Fabio Milani, 2005. "A Bayesian DSGE Model with Infinite-Horizon Learning: Do "Mechanical" Sources of Persistence Become Superfluous?," Working Papers 060703, University of California-Irvine, Department of Economics.

    Cited by:

    1. Fabio Milani, 2009. "Expectations, Learning, and the Changing Relationship between Oil Prices and the Macroeconomy," Working Papers 080923, University of California-Irvine, Department of Economics.
    2. Cogley, Timothy & Matthes, Christian & Sbordone, Argia M., 2015. "Optimized Taylor rules for disinflation when agents are learning," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 131-147.
    3. Krisztina Molnár & Sergio Santoro, 2010. "Optimal Monetary Policy when Agents are Learning," CESifo Working Paper Series 3072, CESifo.
    4. Fabrice Collard & Harris Dellas, 2008. "Monetary Policy and Inflation in the 70s," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1765-1781, December.
    5. Piero Ferri, 2011. "Macroeconomics of Growth Cycles and Financial Instability," Books, Edward Elgar Publishing, number 14260.
    6. James B. Bullard & Eric Schaling, 2006. "Monetary policy, determinacy, and learnability in a two-block world economy," Working Papers 2006-038, Federal Reserve Bank of St. Louis.
    7. Cole, Stephen J. & Milani, Fabio, 2019. "The Misspecification Of Expectations In New Keynesian Models: A Dsge-Var Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 974-1007, April.
    8. Timothy Cogley & Argia M. Sbordone, 2006. "Trend inflation and inflation persistence in the New Keynesian Phillips curve," Staff Reports 270, Federal Reserve Bank of New York.
    9. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2020. "Bounded rationality and heterogeneous expectations: Euler versus anticipated-utility approach," Journal of Economics, Springer, vol. 130(3), pages 249-273, August.
    10. Claudio Borio & Piti Disyatat & Mikael Juselius, 2014. "A parsimonious approach to incorporating economic information in measures of potential output," BIS Working Papers 442, Bank for International Settlements.
    11. Greta Meggiorini & Fabio Milani, 2021. "Behavioral New Keynesian Models: Learning vs. Cognitive Discounting," CESifo Working Paper Series 9039, CESifo.
    12. Harrison, Richard & Taylor, Tim, 2012. "Misperceptions, heterogeneous expectations and macroeconomic dynamics," Bank of England working papers 449, Bank of England.
    13. Audzei, Volha, 2023. "Learning and cross-country correlations in a multi-country DSGE model," Economic Modelling, Elsevier, vol. 120(C).
    14. Milani, Fabio, 2011. "The impact of foreign stock markets on macroeconomic dynamics in open economies: A structural estimation," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 111-129, February.
    15. Chevillon, Guillaume & Massmann, Michael & Mavroeidis, Sophocles, 2010. "Inference in models with adaptive learning," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 341-351, April.
    16. Fabio Milani, 2006. "The Evolution of the Fed's Inflation Target in an Estimated Model under RE and Learning," Working Papers 060704, University of California-Irvine, Department of Economics.
    17. Mele, Antonio & Molnar, Krisztina & Santoro, Sergio, 2018. "On the perils of stabilizing prices when agents are learning," Discussion Paper Series in Economics 22/2018, Norwegian School of Economics, Department of Economics.
    18. Spulbăr Cristi & Niţoi Mihai & STANCIU Cristian, 2012. "Inflation Inertia and Inflation Persistence in Romania Using a DSGE Approach," Scientific Annals of Economics and Business, Sciendo, vol. 59(1), pages 115-124, July.
    19. Raf Wouters & Sergey Slobodyan, 2009. "Estimating a medium–scale DSGE model with expectations based on small forecasting models," 2009 Meeting Papers 654, Society for Economic Dynamics.
    20. Fabio Milani, 2007. "Learning and Time-Varying Macroeconomic Volatility," Working Papers 070802, University of California-Irvine, Department of Economics.
    21. Bask, Mikael & Selander, Carina, 2007. "Robust Taylor rules in an open economy with heterogeneous expectations and least squares learnig," Bank of Finland Research Discussion Papers 6/2007, Bank of Finland.
    22. Sergey Slobodyan & Raf Wouters, 2009. "Learning in an Estimated Medium-Scale DSGE Model," CERGE-EI Working Papers wp396, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    23. Sinha, Arunima, 2015. "Government debt, learning and the term structure," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 268-289.
    24. Marine Charlotte André & Meixing Dai, 2015. "Central bank accountability under adaptive learning," Working Papers of BETA 2015-32, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    25. Norbert Christopeit & Michael Massmann, 2010. "Consistent Estimation of Structural Parameters in Regression Models with Adaptive Learning," Tinbergen Institute Discussion Papers 10-077/4, Tinbergen Institute.
    26. Fabio Milani, 2009. "Adaptive Learning and Macroeconomic Inertia in the Euro Area," Journal of Common Market Studies, Wiley Blackwell, vol. 47(3), pages 579-599, June.
    27. Fabio Milani, 2007. "Political Business Cycles in the New Keynesian Model," Working Papers 070805, University of California-Irvine, Department of Economics.
    28. Alexander Mayer, 2022. "Estimation and inference in adaptive learning models with slowly decreasing gains," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(5), pages 720-749, September.
    29. Fazzari, Steven M. & Ferri, Piero & Greenberg, Edward, 2010. "Investment and the Taylor rule in a dynamic Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2010-2022, October.
    30. Ina Hajdini, 2022. "Mis-specified Forecasts and Myopia in an Estimated New Keynesian Model," Working Papers 22-03R, Federal Reserve Bank of Cleveland, revised 06 Mar 2023.
    31. Fabio Milani, 2009. "The Effect of Global Output on U.S. Inflation and Inflation Expectations: A Structural Estimation," Working Papers 080920, University of California-Irvine, Department of Economics.

  28. Fabio Milani, 2005. "Expectations, Learning and Macroeconomic Persistence," Working Papers 050608, University of California-Irvine, Department of Economics.

    Cited by:

    1. Fabio Milani & Sung Ho Park, 2013. "The Effects of Globalization on Macroeconomic Dynamics in a Trade-Dependent Economy: the Case of Korea," Working Papers 141502, University of California-Irvine, Department of Economics.
    2. Paul De Grauwe, 2008. "Animal Spirits and Monetary Policy," CESifo Working Paper Series 2418, CESifo.
    3. Giovanni Angelini & Luca Fanelli Fanelli, 2015. "Misspecification and Expectations Correction in New Keynesian DSGE Models," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.
    4. Lie, Denny & Yadav, Anirudh S., 2015. "Time-Varying Trend Inflation and the New Keynesian Phillips Curve in Australia," Working Papers 2015-14, University of Sydney, School of Economics.
    5. Athanasios Orphanides & John C. Williams, 2008. "Learning, Expectations Formation, and the Pitfalls of Optimal Control Monetary Policy," Working Papers 2008-3, Central Bank of Cyprus.
    6. Murray, James, 2014. "Fiscal Policy Uncertainty and Its Macroeconomic Consequences," MPRA Paper 57409, University Library of Munich, Germany.
    7. Andrea Giusto, 2015. "Approximate aggregation revisited: higher moments do matter," Applied Economics Letters, Taylor & Francis Journals, vol. 22(14), pages 1138-1143, September.
    8. Benhabib, Jess & Evans, George W. & Honkapohja, Seppo, 2012. "Liquidity trap and expectation dynamics: Fiscal stimulus or fiscal austerity?," Bank of Finland Research Discussion Papers 27/2012, Bank of Finland.
    9. Castelnuovo, Efrem, 2010. "Tracking U.S. inflation expectations with domestic and global indicators," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1340-1356, November.
    10. Stefano Eusepi & Bruce Preston, 2013. "Fiscal foundations of inflation: imperfect knowledge," Staff Reports 649, Federal Reserve Bank of New York.
    11. Patrick A. Pintus & Jacek Suda, 2013. "Learning Financial Shocks and the Great Recession," AMSE Working Papers 1333, Aix-Marseille School of Economics, France, revised 05 Jun 2013.
    12. Athanasios Orphanides & John C. Williams, 2008. "Imperfect knowledge and the pitfalls of optimal control monetary policy," Working Paper Series 2008-09, Federal Reserve Bank of San Francisco.
    13. Hans Dewachter, 2008. "Imperfect information, macroeconomic dynamics and the yield curve : an encompassing macro-finance model," Working Paper Research 144, National Bank of Belgium.
    14. George W. Evans, 2011. "Comment on "Natural Expectations, Macroeconomic Dynamics, and Asset Pricing"," NBER Chapters, in: NBER Macroeconomics Annual 2011, Volume 26, pages 61-71, National Bureau of Economic Research, Inc.
    15. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2013. "The Effects of the Saving and Banking Glut on the U.S. Economy," NBER Chapters, in: NBER International Seminar on Macroeconomics 2013, pages 52-67, National Bureau of Economic Research, Inc.
    16. Milani, Fabio, 2008. "Learning, monetary policy rules, and macroeconomic stability," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3148-3165, October.
    17. Pfajfar, Damjan & Santoro, Emiliano, 2010. "Heterogeneity, learning and information stickiness in inflation expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 426-444, September.
    18. Eric Schaling & Mewael F. Tesfaselassie & Sylvester Eijffinger, 2007. "Learning About the Term Structure and Optimal Rules for Inflation Targeting," Working Papers 062, Economic Research Southern Africa.
    19. Fabio Milani, 2011. "Expectation Shocks and Learning as Drivers of the Business Cycle," Economic Journal, Royal Economic Society, vol. 121(552), pages 379-401, May.
    20. Fabio Milani & Sung Ho Park, 2019. "Expectations and Macro-Housing Interactions in a Small Open Economy: Evidence from Korea," Open Economies Review, Springer, vol. 30(2), pages 375-402, April.
    21. Spahn Peter, 2009. "The New Keynesian Microfoundation of Macroeconomics," Review of Economics, De Gruyter, vol. 60(3), pages 181-203, December.
    22. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    23. Paloviita, Maritta, 2008. "Estimating open economy Phillips curves for the euro area with directly measured expectations," Bank of Finland Research Discussion Papers 16/2008, Bank of Finland.
    24. Han, Zhao, 2021. "Low-frequency fiscal uncertainty," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 639-657.
    25. 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.
    26. Aloisio Araujo & Tiago Berriel & Rafael Santos, 2016. "Inflation Targeting With Imperfect Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 255-270, February.
    27. Gbaguidi DAVID, 2011. "Expectations Impact On The Effectiveness Of The Inflation-Real Activity Trade-Off," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 141-181.
    28. Fabio Milani, 2009. "Expectations, Learning, and the Changing Relationship between Oil Prices and the Macroeconomy," Working Papers 080923, University of California-Irvine, Department of Economics.
    29. Berardi, Michele & Galimberti, Jaqueson K., 2017. "Empirical calibration of adaptive learning," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 219-237.
    30. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2018. "Bounded-rationality and heterogeneous agents: Long or short forecasters?," JRC Research Reports JRC111392, Joint Research Centre.
    31. de Grauwe, Paul & Macchiarelli, Corrado, 2015. "Animal spirits and credit cycles," LSE Research Online Documents on Economics 63984, London School of Economics and Political Science, LSE Library.
    32. Guangye Cao & Jonathan L. Willis, 2015. "Has the U.S. economy become less interest rate sensitive?," Macro Bulletin, Federal Reserve Bank of Kansas City, pages 1-3, July.
    33. Wieland, Volker, 2008. "Learning, Endogenous Indexation and Disinflation in the New-Keynesian Model," CEPR Discussion Papers 6749, C.E.P.R. Discussion Papers.
    34. Guido Lorenzoni, 2006. "A Theory of Demand Shocks," NBER Working Papers 12477, National Bureau of Economic Research, Inc.
    35. Orphanides, Athanasios & Hofmann, Boris & Lombardi, Marco & Mojon, Benoit, 2021. "Fiscal and monetary policy interactions in a low interest rate world," CEPR Discussion Papers 16411, C.E.P.R. Discussion Papers.
    36. Timmermann, Allan & Patton, Andrew, 2007. "Learning in Real Time: Theory and Empirical Evidence from the Term Structure of Survey Forecasts," CEPR Discussion Papers 6526, C.E.P.R. Discussion Papers.
    37. Giamattei, Marcus, 2015. "Cold Turkey vs. Gradualism - Evidence on Disinflation Strategies from a Laboratory Experiment," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-67-15, University of Passau, Faculty of Business and Economics.
    38. Yang Lu & Ernesto Pasten & Robert King, 2013. "Policy design with private sector skepticism in the textbook New Keynesian model," 2013 Meeting Papers 241, Society for Economic Dynamics.
    39. Cogley, Timothy & Matthes, Christian & Sbordone, Argia M., 2015. "Optimized Taylor rules for disinflation when agents are learning," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 131-147.
    40. Krisztina Molnár & Sergio Santoro, 2010. "Optimal Monetary Policy when Agents are Learning," CESifo Working Paper Series 3072, CESifo.
    41. Winkler, Fabian, 2020. "The role of learning for asset prices and business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 42-58.
    42. Dave, Chetan & Malik, Samreen, 2017. "A tale of fat tails," European Economic Review, Elsevier, vol. 100(C), pages 293-317.
    43. Atahan Afsar; José Elías Gallegos; Richard Jaimes; Edgar Silgado Gómez & José Elías Gallegos & Richard Jaimes & Edgar Silgado Gómez, 2020. "Reconciling Empirics and Theory: The Behavioral Hybrid New Keynesian Model," Vniversitas Económica 18560, Universidad Javeriana - Bogotá.
    44. Arunima Sinha, 2016. "Learning and the Yield Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 513-547, March.
    45. Rava Azeredo da Silveira & Yeji Sung & Michael Woodford, 2020. "Optimally Imprecise Memory and Biased Forecasts," CESifo Working Paper Series 8709, CESifo.
    46. Kuang, Pei & Mitra, Kaushik, 2016. "Long-run growth uncertainty," Journal of Monetary Economics, Elsevier, vol. 79(C), pages 67-80.
    47. Chryssi Giannitsarou & Eva Carceles-Poveda, 2004. "Adaptive Learning in Practice," Computing in Economics and Finance 2004 271, Society for Computational Economics.
    48. Branch, William A. & McGough, Bruce, 2009. "A New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1036-1051, May.
    49. Milani, Fabio, 2012. "Has Globalization Transformed U.S. Macroeconomic Dynamics?," Macroeconomic Dynamics, Cambridge University Press, vol. 16(2), pages 204-229, April.
    50. Anton Nakov & Galo Nuño, 2011. "Learning from experience in the stock market," Working Papers 1132, Banco de España.
    51. George W. Evans & Seppo Honkapohja & Kaushik Mitra, 2022. "Expectations, Stagnation, And Fiscal Policy: A Nonlinear Analysis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1397-1425, August.
    52. Bloch, Laurence, 2012. "Product market regulation, trend inflation and inflation dynamics in the new Keynesian Phillips curve," Economic Modelling, Elsevier, vol. 29(5), pages 2058-2070.
    53. Chevillon, Guillaume & Mavroeidis, Sophocles, 2011. "Learning generates Long Memory," ESSEC Working Papers WP1113, ESSEC Research Center, ESSEC Business School.
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    264. Yuliya Rychalovska & Sergey Slobodyan & Rafael Wouters, 2023. "Professional Survey Forecasts and Expectations in DSGE Models," CERGE-EI Working Papers wp766, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
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    280. Pablo Aguilar & Luca Pensieroso, 2022. "Learning the Hard Way: Expectations and the U.S. Great Depression," LIDAM Discussion Papers IRES 2022004, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    281. Elias, Christopher J., 2016. "A heterogeneous agent exchange rate model with speculators and non-speculators," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 203-223.
    282. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the plausibility of adaptive learning in macroeconomics: A puzzling conflict in the choice of the representative algorithm," Centre for Growth and Business Cycle Research Discussion Paper Series 177, Economics, The University of Manchester.
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  29. Fabio Milani, 2005. "Learning, Monetary Policy Rules, and Macroeconomic Stability," Macroeconomics 0508019, University Library of Munich, Germany.

    Cited by:

    1. Fabio Milani, 2011. "Expectation Shocks and Learning as Drivers of the Business Cycle," Economic Journal, Royal Economic Society, vol. 121(552), pages 379-401, May.
    2. Matthes, Christian & Rondina, Francesca, 2012. "Two-sided Learning in New Keynesian Models: Dynamics, (Lack of) Convergence and the Value of Information," Dynare Working Papers 19, CEPREMAP.
    3. Michael Woodford, 2007. "Interpreting Inflation Persistence: Comments on the Conference on "Quantitative Evidence on Price Determination"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 203-210, February.
    4. Fabio Milani, 2009. "Expectations, Learning, and the Changing Relationship between Oil Prices and the Macroeconomy," Working Papers 080923, University of California-Irvine, Department of Economics.
    5. Marine Charlotte André & Meixing Dai, 2016. "Learning, robust monetray policy and the merit of precaution," Working Papers of BETA 2016-54, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Berardi, Michele & Galimberti, Jaqueson K., 2017. "Empirical calibration of adaptive learning," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 219-237.
    7. Chryssi Giannitsarou & Eva Carceles-Poveda, 2004. "Adaptive Learning in Practice," Computing in Economics and Finance 2004 271, Society for Computational Economics.
    8. James B. Bullard, 2006. "The learnability criterion and monetary policy," Review, Federal Reserve Bank of St. Louis, vol. 88(May), pages 203-217.
    9. Fabio Milani, 2008. "Learning about the Interdependence between the Macroeconomy and the Stock Market," Working Papers 070819, University of California-Irvine, Department of Economics.
    10. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    11. Murray, James, 2011. "Learning and judgment shocks in U.S. business cycles," MPRA Paper 29257, University Library of Munich, Germany.
    12. Francisco Ilabaca & Fabio Milani, 2020. "Heterogeneous Expectations, Indeterminacy, and Postwar US Business Cycles," CESifo Working Paper Series 8224, CESifo.
    13. Rychalovska, Yuliya, 2016. "The implications of financial frictions and imperfect knowledge in the estimated DSGE model of the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 259-282.
    14. Kobielarz, Michal, 2018. "The economics of monetary unions," Other publications TiSEM b0293536-68ec-4905-bffd-6, Tilburg University, School of Economics and Management.
    15. Zamarripa, Rene, 2021. "Estimating the Bank of Mexico’s reaction function in the last three decades: A Bayesian DSGE approach with rolling-windows," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    16. Seth Pruitt, 2012. "Uncertainty Over Models and Data: The Rise and Fall of American Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 341-365, March.
    17. Pablo Aguilar & Jesús Vázquez, 2015. "The role of term structure in an estimated DSGE model with learning," LIDAM Discussion Papers IRES 2015007, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    18. Michael Woodford, 2013. "Macroeconomic Analysis without the Rational Expectations Hypothesis," NBER Working Papers 19368, National Bureau of Economic Research, Inc.
    19. Fabio Milani, 2006. "The Evolution of the Fed's Inflation Target in an Estimated Model under RE and Learning," Working Papers 060704, University of California-Irvine, Department of Economics.
    20. Erdemlioglu, Deniz M & Xiao, Wei, 2008. "Indeterminate Equilibria in New Keynesian DSGE Model: An Application to the US Great Moderation," MPRA Paper 10322, University Library of Munich, Germany.
    21. Milani, Fabio, 2006. "A Bayesian DSGE Model with Infinite-Horizon Learning: Do "Mechanical" Sources of Persistence Become Superfluous?," MPRA Paper 809, University Library of Munich, Germany.
    22. John C. Williams, 2006. "Monetary policy in a low inflation economy with learning," Working Paper Series 2006-30, Federal Reserve Bank of San Francisco.
    23. Gelfer, Sacha, 2020. "The effects of professional forecast dissemination on macroeconomic volatility," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 131-156.
    24. Aguilar, Pablo & Vázquez, Jesús, 2021. "An Estimated Dsge Model With Learning Based On Term Structure Information," Macroeconomic Dynamics, Cambridge University Press, vol. 25(7), pages 1635-1665, October.
    25. Raf Wouters & Sergey Slobodyan, 2009. "Estimating a medium–scale DSGE model with expectations based on small forecasting models," 2009 Meeting Papers 654, Society for Economic Dynamics.
    26. Fabio Milani, 2007. "Learning and Time-Varying Macroeconomic Volatility," Working Papers 070802, University of California-Irvine, Department of Economics.
    27. Ilabaca, Francisco & Meggiorini, Greta & Milani, Fabio, 2020. "Bounded rationality, monetary policy, and macroeconomic stability," Economics Letters, Elsevier, vol. 186(C).
    28. Vázquez, Jesús & Aguilar, Pablo, 2021. "Adaptive learning with term structure information," European Economic Review, Elsevier, vol. 134(C).
    29. Rachael McCririck & Daniel Rees, 2016. "The Slowdown in US Productivity Growth: Breaks and Beliefs," RBA Research Discussion Papers rdp2016-08, Reserve Bank of Australia.
    30. Sergey Slobodyan & Raf Wouters, 2009. "Learning in an Estimated Medium-Scale DSGE Model," CERGE-EI Working Papers wp396, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    31. Nakagawa, Ryuichi, 2015. "Learnability of an equilibrium with private information," Journal of Economic Dynamics and Control, Elsevier, vol. 59(C), pages 58-74.
    32. Michele Berardi & Jaqueson K Galimberti, 2016. "On the Initialization of Adaptive Learning in Macroeconomic Models," KOF Working papers 16-422, KOF Swiss Economic Institute, ETH Zurich.
    33. Fabio Milani, 2007. "Political Business Cycles in the New Keynesian Model," Working Papers 070805, University of California-Irvine, Department of Economics.
    34. André Marine Charlotte & Dai Meixing, 2020. "The limits to robust monetary policy in a small open economy with learning agents," Working Papers 2020-12, Banco de México.
    35. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the plausibility of adaptive learning in macroeconomics: A puzzling conflict in the choice of the representative algorithm," Centre for Growth and Business Cycle Research Discussion Paper Series 177, Economics, The University of Manchester.
    36. Frank Smets & Kai Christoffel & Günter Coenen & Roberto Motto & Massimo Rostagno, 2010. "DSGE models and their use at the ECB," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 51-65, March.
    37. Fabio Milani, 2009. "The Effect of Global Output on U.S. Inflation and Inflation Expectations: A Structural Estimation," Working Papers 080920, University of California-Irvine, Department of Economics.
    38. Pablo Aguilar & Jesús Vázquez, 2018. "Term structure and real-time learning," Working Papers 1803, Banco de España.
    39. Arturo Ormeno, 2009. "Disciplining expectations: adding survey expectations in learning models," 2009 Meeting Papers 1140, Society for Economic Dynamics.
    40. Meggiorini, Greta, 2023. "Behavioral New Keynesian Models: An empirical assessment," Journal of Macroeconomics, Elsevier, vol. 77(C).
    41. Michele Berardi & Jaqueson K. Galimberti, 2012. "On the initialization of adaptive learning algorithms: A review of methods and a new smoothing-based routine," Centre for Growth and Business Cycle Research Discussion Paper Series 175, Economics, The University of Manchester.

  30. Fabio Milani, 2004. "Monetary Policy with a Wider Information Set: a Bayesian Model Averaging Approach," Macroeconomics 0401004, University Library of Munich, Germany.

    Cited by:

    1. Gross, Jonas & Zahner, Johannes, 2021. "What is on the ECB’s mind? Monetary policy before and after the global financial crisis," Journal of Macroeconomics, Elsevier, vol. 68(C).
    2. Arnulfo Rodriguez & Pedro N. Rodriguez, 2006. "Recursive Thick Modeling and the Choice of Monetary Policy in Mexico," Computing in Economics and Finance 2006 30, Society for Computational Economics.
    3. Fabrizio Zampolli, 2004. "Optimal monetary policy in a regime-switching economy," Computing in Economics and Finance 2004 166, Society for Computational Economics.
    4. Jonas Gross & Johannes Zahner, 2020. "What's on the ECB's mind? - Monetary policy before and after the global financial crisis," MAGKS Papers on Economics 202008, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    5. Rodríguez Arnulfo & González Fidel & González García Jesús R., 2007. "Uncertainty about the Persistence of Cost-Push Shocks and the Optimal Reaction of the Monetary Authority," Working Papers 2007-05, Banco de México.
    6. Zampolli, Fabrizio, 2006. "Optimal monetary policy in a regime-switching economy: The response to abrupt shifts in exchange rate dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1527-1567.
    7. Rodríguez Arnulfo & Rodríguez Pedro N., 2007. "Recursive Thick Modeling and the Choice of Monetary Policy in Mexico," Working Papers 2007-04, Banco de México.
    8. Gonzalez F. & Rodriguez A. & Gonzalez-Garcia J.R., 2005. "Uncertainty about the Persistence of Periods with Large Price Shocks and the Optimal Reaction of the Monetary Authority," Computing in Economics and Finance 2005 402, Society for Computational Economics.
    9. Maltritz, Dominik, 2012. "Determinants of sovereign yield spreads in the Eurozone: A Bayesian approach," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 657-672.
    10. Maltritz, Dominik & Molchanov, Alexander, 2013. "Analyzing determinants of bond yield spreads with Bayesian Model Averaging," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5275-5284.
    11. Garett Jones & W. Schneider, 2006. "Intelligence, Human Capital, and Economic Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," Journal of Economic Growth, Springer, vol. 11(1), pages 71-93, March.

  31. Fabio Milani, 2003. "Adaptive Learning, Model Uncertainty and Monetary Policy Inertia in a Large Information Environment," Computing in Economics and Finance 2003 280, Society for Computational Economics.

    Cited by:

    1. William Goetzmann & Eduardas Valaitis, 2006. "Simulating Real Estate in the Investment Portfolio: Model Uncertainty and Inflation Hedging," Yale School of Management Working Papers amz2476, Yale School of Management, revised 01 May 2006.
    2. Fabio Milani, 2004. "Monetary Policy with a Wider Information Set: a Bayesian Model Averaging Approach," Macroeconomics 0401004, University Library of Munich, Germany.
    3. Tondl, Gabriele & Prüfer, Patricia, 2007. "Does it Make a Difference? Comparing Growth Effects of European and North American FDI in Latin America," Proceedings of the German Development Economics Conference, Göttingen 2007 26, Verein für Socialpolitik, Research Committee Development Economics.

  32. Fabio Milani & Francesco Belviso, 2003. "Structural Factor-Augmented VAR (SFAVAR)," Computing in Economics and Finance 2003 278, Society for Computational Economics.

    Cited by:

    1. William Goetzmann & Eduardas Valaitis, 2006. "Simulating Real Estate in the Investment Portfolio: Model Uncertainty and Inflation Hedging," Yale School of Management Working Papers amz2476, Yale School of Management, revised 01 May 2006.
    2. Hansen, Stephen & McMahon, Michael, 2015. "Shocking language: Understanding the macroeconomic effects of central bank communication," Economic Research Papers 269727, University of Warwick - Department of Economics.
    3. Mönch, Emanuel, 2005. "Forecasting the yield curve in a data-rich environment: a no-arbitrage factor-augmented VAR approach," Working Paper Series 544, European Central Bank.
    4. Wilmar Alexander Cabrera Rodríguez & Luis Fernando Melo Velandia & Daniel Parra Amado, 2014. "Relación entre el riesgo sistémico del sistema financiero y el sector real: un enfoque FAVAR," Borradores de Economia 810, Banco de la Republica de Colombia.
    5. Tomas Havranek & Marek Rusnak, 2012. "Transmission Lags of Monetary Policy: A Meta-Analysis," Working Papers IES 2012/27, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2012.
    6. Dedu, Vasile & Stoica, Tiberiu, 2014. "The Impact of Monetaru Policy on the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 71-86, June.
    7. Valls Pereira, Pedro L. & da Silva Fonseca, Marcelo Gonçalves, 2012. "Credit Shocks and Monetary Policy in Brazil: A Structural Favar Approach," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(2), April.
    8. Sandra Eickmeier & Leonardo Gambacorta & Boris Hofmann, 2013. "Understanding Global Liquidity," BIS Working Papers 402, Bank for International Settlements.
    9. Lahura, Erick, 2012. "Measuring the Effects of Monetary Policy Using Market Expectations," Working Papers 2012-005, Banco Central de Reserva del Perú.
    10. Lahura, Erick, 2010. "The Effects Of Monetary Policy Shocks In Peru: Semi-Structural Identification Using A Factor-Augmented Vector Autoregressive Model," Working Papers 2010-008, Banco Central de Reserva del Perú.
    11. Masud Alam, 2021. "Heterogeneous Responses to the U.S. Narrative Tax Changes: Evidence from the U.S. States," Papers 2107.13678, arXiv.org.
    12. Masud Alam, 2021. "Time Varying Risk in U.S. Housing Sector and Real Estate Investment Trusts Equity Return," Papers 2107.10455, arXiv.org.

  33. Carlo A. Favero, "undated". "Parameters´ Instability, Model Uncertainty and Optimal Monetary Policy," Working Papers 196, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.

    Cited by:

    1. Castelnuovo, Efrem, 2003. "Describing the Fed's conduct with Taylor rules: is interest rate smoothing important?," Working Paper Series 232, European Central Bank.
    2. Efrem Castelnuovo, 2003. "Taylor Rules and Interest Rate Smoothing in the US and EMU," Macroeconomics 0303002, University Library of Munich, Germany.
    3. Efrem Castelnuovo, 2003. "Squeezing the Interest Rate Smoothing Weight with a Hybrid Expectations Model," Working Papers 2003.6, Fondazione Eni Enrico Mattei.
    4. Efrem Castelnuovo, 2004. "Describing the Fed's conduct with simple Taylor rules: is interest rate smoothing important?," Money Macro and Finance (MMF) Research Group Conference 2003 12, Money Macro and Finance Research Group.

Articles

  1. Fabio Milani, 2021. "COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 223-252, January.
    See citations under working paper version above.
  2. Cole, Stephen J. & Milani, Fabio, 2021. "Heterogeneity in individual expectations, sentiment, and constant-gain learning," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 627-650.
    See citations under working paper version above.
  3. Ilabaca, Francisco & Milani, Fabio, 2021. "Heterogeneous expectations, indeterminacy, and postwar US business cycles," Journal of Macroeconomics, Elsevier, vol. 68(C).
    See citations under working paper version above.
  4. Milani, Fabio, 2020. "Learning And The Evolution Of The Fed’S Inflation Target," Macroeconomic Dynamics, Cambridge University Press, vol. 24(8), pages 1904-1923, December.

    Cited by:

    1. Diegel, Max, 2022. "Time-varying credibility, anchoring and the Fed's inflation target," Discussion Papers 2022/9, Free University Berlin, School of Business & Economics.
    2. Marco Airaudo & Ina Hajdini, 2021. "Consistent Expectations Equilibria In Markov Regime Switching Models And Inflation Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(4), pages 1401-1430, November.

  5. Ilabaca, Francisco & Meggiorini, Greta & Milani, Fabio, 2020. "Bounded rationality, monetary policy, and macroeconomic stability," Economics Letters, Elsevier, vol. 186(C).
    See citations under working paper version above.
  6. Chatterjee, Pratiti & Milani, Fabio, 2020. "Perceived uncertainty shocks, excess optimism-pessimism, and learning in the business cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 342-360.
    See citations under working paper version above.
  7. Milani, Fabio & Rajbhandari, Ashish, 2020. "Observed expectations, news shocks, and the business cycle," Research in Economics, Elsevier, vol. 74(2), pages 95-118.
    See citations under working paper version above.
  8. Cole, Stephen J. & Milani, Fabio, 2019. "The Misspecification Of Expectations In New Keynesian Models: A Dsge-Var Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 974-1007, April.
    See citations under working paper version above.
  9. Fabio Milani & Sung Ho Park, 2019. "Expectations and Macro-Housing Interactions in a Small Open Economy: Evidence from Korea," Open Economies Review, Springer, vol. 30(2), pages 375-402, April.

    Cited by:

    1. Benjamin Kwakye & Chan Tze Haw, 2020. "Interplay of the Macroeconomy and Real Estate: Systematic Review of Literature," International Journal of Economics and Financial Issues, Econjournals, vol. 10(5), pages 262-271.

  10. Milani, Fabio, 2017. "Learning about the interdependence between the macroeconomy and the stock market," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 223-242.
    See citations under working paper version above.
  11. Milani, Fabio, 2017. "Sentiment and the U.S. business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 289-311.
    See citations under working paper version above.
  12. Milani, Fabio & Park, Sung Ho, 2015. "The effects of globalization on macroeconomic dynamics in a trade-dependent economy: The case of Korea," Economic Modelling, Elsevier, vol. 48(C), pages 292-305.
    See citations under working paper version above.
  13. Milani, Fabio, 2014. "Learning and time-varying macroeconomic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 94-114.
    See citations under working paper version above.
  14. Fabio Milani & John Treadwell, 2012. "The Effects of Monetary Policy “News” and “Surprises”," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1667-1692, December.
    See citations under working paper version above.
  15. Fabio Milani & John Treadwell, 2012. "The Effects of Monetary Policy “News” and “Surprises”," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1667-1692, December.

    Cited by:

    1. Nikolay Iskrev & Sandra Gomes & Caterina Mendicino, 2013. "Monetary policy shocks: We got news!," Working Papers w201307, Banco de Portugal, Economics and Research Department.
    2. Ali, Syed Zahid & Anwar, Sajid, 2018. "Anticipated versus unanticipated terms of trade shocks and the J-curve phenomenon," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 1-19.
    3. William T. Gavin & Benjamin D. Keen & Alexander W. Richter & Nathaniel A. Throckmorton, 2013. "The stimulative effect of forward guidance," Working Papers 2013-38, Federal Reserve Bank of St. Louis.
    4. Luisa Lambertini & Caterina Mendicino & Maria Teresa Punzi, 2012. "Expectations-Driven Cycles in the Housing Market," Discussion Papers 12/08, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    5. Yasuo Hirose & Atsushi Inoue, 2013. "Zero Lower Bound and Parameter Bias in an Estimated DSGE Model," TERG Discussion Papers 308, Graduate School of Economics and Management, Tohoku University.
    6. Nadav Ben Zeev & Christopher Gunn & Hashmat Khan, 2020. "Monetary News Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(7), pages 1793-1820, October.
    7. Lambertini, Luisa & Mendicino, Caterina & Punzi, Maria Teresa, 2013. "Expectation-driven cycles in the housing market: Evidence from survey data," Journal of Financial Stability, Elsevier, vol. 9(4), pages 518-529.
    8. Benjamin D. Keen & Alexander W. Richter & Nathaniel A. Throckmorton, 2016. "Forward guidance and the state of the economy," Working Papers 1612, Federal Reserve Bank of Dallas.
    9. Fabio Milani, 2014. "Sentiment and the U.S. Business Cycle," 2014 Meeting Papers 883, Society for Economic Dynamics.
    10. Harrison, Richard, 2015. "Estimating the effects of forward guidance in rational expectations models," European Economic Review, Elsevier, vol. 79(C), pages 196-213.
    11. Sims, Eric, 2016. "What׳s news in News? A cautionary note on using a variance decomposition to assess the quantitative importance of news shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 41-60.
    12. Tatjana Dahlhaus & Luca Gambetti, 2018. "Noisy Monetary Policy," Staff Working Papers 18-23, Bank of Canada.
    13. Cole, Stephen J., 2018. "The effectiveness of central bank forward guidance under inflation and price-level targeting," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 146-161.
    14. Yasuo Hirose & Takushi Kurozumi, 2012. "Identifying News Shocks with Forecast Data," CAMA Working Papers 2012-01, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Kenza Benhima & Céline Poilly, 2017. "Do Misperceptions about Demand Matter? Theory and Evidence," Cahiers de Recherches Economiques du Département d'économie 17.08, Université de Lausanne, Faculté des HEC, Département d’économie.
    16. Kenichi Tamegawa, 2014. "A closed-form analysis of anticipated monetary policy," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 15(2), pages 155-161.
    17. Thales A. J. T. T. Maion & Marcio Issao Nakane, 2019. "News shocks and consumer expectations: evidence for Brazil," Working Papers, Department of Economics 2019_11, University of São Paulo (FEA-USP).
    18. Virginia Queijo von Heideken & Ferre De Graeve, 2012. "Fiscal policy in contemporary DSGE models," 2012 Meeting Papers 74, Society for Economic Dynamics.
    19. Cole, Stephen, 2015. "Learning and the effectiveness of central bank forward guidance," MPRA Paper 65207, University Library of Munich, Germany.
    20. Ali, Syed Zahid & Anwar, Sajid, 2018. "Price puzzle in a small open New Keynesian model," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 29-42.
    21. Chen, Kan & Zhang, Shage, 2015. "What’s news in exchange rate dynamics: A DSGE approach," Economics Letters, Elsevier, vol. 134(C), pages 133-137.
    22. Vicondoa, Alejandro, 2019. "Monetary news in the United States and business cycles in emerging economies," Journal of International Economics, Elsevier, vol. 117(C), pages 79-90.
    23. Luisa Lambertini & Caterina Mendicino & Maria Teresa Punzi, 2011. "Leaning Against Boom-Bust Cycles in Credit and Housing Prices," Working Papers CELEG 1104, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    24. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    25. Offick Sven & Wohltmann Hans-Werner, 2016. "Partially Anticipated Monetary Policy Shocks – Are They Stabilizing or Destabilizing?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(1), pages 95-127, February.
    26. Iskrev, Nikolay, 2019. "On the sources of information about latent variables in DSGE models," European Economic Review, Elsevier, vol. 119(C), pages 318-332.
    27. Nkwoma, Inekwe John, 2017. "Futures-Based Measures Of Monetary Policy And Jump Risk," Macroeconomic Dynamics, Cambridge University Press, vol. 21(2), pages 384-405, March.
    28. Josef Hollmayr & Michael Kuehl, 2016. "Imperfect Information about Financial Frictions and Consequences for the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 179-207, October.

  16. Milani, Fabio, 2012. "Has Globalization Transformed U.S. Macroeconomic Dynamics?," Macroeconomic Dynamics, Cambridge University Press, vol. 16(2), pages 204-229, April.
    See citations under working paper version above.
  17. Milani, Fabio, 2011. "The impact of foreign stock markets on macroeconomic dynamics in open economies: A structural estimation," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 111-129, February.

    Cited by:

    1. Milani, Fabio, 2012. "Has Globalization Transformed U.S. Macroeconomic Dynamics?," Macroeconomic Dynamics, Cambridge University Press, vol. 16(2), pages 204-229, April.
    2. Fabio Milani, 2008. "Learning about the Interdependence between the Macroeconomy and the Stock Market," Working Papers 070819, University of California-Irvine, Department of Economics.
    3. Georgios Georgiadis & Martina Jancokova, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," Globalization Institute Working Papers 314, Federal Reserve Bank of Dallas.
    4. Tanya ARAUJO & Sofia TERLICA & Samuel ELEUTERIO & Francisco LOUCA, 2014. "Does evidence challenge the DSGE model," International Journal of Entrepreneurial Knowledge, Center for International Scientific Research of VSO and VSPP, vol. 2(2), pages 15-24, December.
    5. Araújo, Eurilton, 2013. "Robust monetary policy with the consumption-wealth channel," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 296-311.
    6. Hassouneh, Islam & Couleau, Anabelle & Serra, Teresa & Al-Sharif, Iqbal, 2018. "The effect of conflict on Palestine, Israel, and Jordan stock markets," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 258-266.
    7. Karime Chahuán-Jiménez & Rolando Rubilar-Torrealba & Hanns de la Fuente-Mella, 2021. "Market Openness and Its Relationship to Connecting Markets Due to COVID-19," Sustainability, MDPI, vol. 13(19), pages 1-12, October.
    8. Eurilton Araújo, 2016. "Monetary Policy Credibility and the Comovement between Stock Returns and Inflation," Working Papers Series 449, Central Bank of Brazil, Research Department.

  18. Fabio Milani, 2011. "Expectation Shocks and Learning as Drivers of the Business Cycle," Economic Journal, Royal Economic Society, vol. 121(552), pages 379-401, May.
    See citations under working paper version above.
  19. Fabio Milani, 2010. "Political Business Cycles In The New Keynesian Model," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 896-915, October.
    See citations under working paper version above.
  20. Milani, Fabio, 2010. "Global slack and domestic inflation rates: A structural investigation for G-7 countries," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 968-981, December.
    See citations under working paper version above.
  21. Fabio Milani, 2010. "Public option and private profits," Applied Health Economics and Health Policy, Springer, vol. 8(3), pages 155-165, May.

    Cited by:

    1. Reinstein, David & Song, Joon, 2014. "Listen to the Market, Hear the Best Policy Decision, but Don't Always Choose it," Economics Discussion Papers 10008, University of Essex, Department of Economics.

  22. Milani, Fabio, 2009. "Does global slack matter more than domestic slack in determining U.S. inflation?," Economics Letters, Elsevier, vol. 102(3), pages 147-151, March.
    See citations under working paper version above.
  23. Fabio Milani, 2009. "Adaptive Learning and Macroeconomic Inertia in the Euro Area," Journal of Common Market Studies, Wiley Blackwell, vol. 47(3), pages 579-599, June.

    Cited by:

    1. Jürgen Jerger & Oke Röhe, 2012. "Testing for Parameter Stability in DSGE Models. The Cases of France, Germany, Italy, and Spain," Working Papers 118, Bavarian Graduate Program in Economics (BGPE).
    2. Chen, Shu-Heng & Chang, Chia-Ling & Wen, Ming-Chang, 2013. "Social networks and macroeconomic stability," Economics Discussion Papers 2013-4, Kiel Institute for the World Economy (IfW Kiel).
    3. Jerger, Jürgen & Röhe, Oke, 2009. "Testing for Parameter Stability in DSGE Models. The Cases of France, Germany and Spain," University of Regensburg Working Papers in Business, Economics and Management Information Systems 453, University of Regensburg, Department of Economics.
    4. Warne, Anders, 2023. "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series 2768, European Central Bank.
    5. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    6. Kobielarz, Michal, 2018. "The economics of monetary unions," Other publications TiSEM b0293536-68ec-4905-bffd-6, Tilburg University, School of Economics and Management.
    7. Chen, Shu-Heng & Chang, Chia-Ling & Tseng, Yi-Heng, 2014. "Social networks, social interaction and macroeconomic dynamics: How much could Ernst Ising help DSGE?," Research in International Business and Finance, Elsevier, vol. 30(C), pages 312-335.
    8. Chen, Shu-heng & Chang, Chia-ling, 2012. "Interactions in the New Keynesian DSGE models: The Boltzmann-Gibbs machine and social networks approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-32.
    9. Chang, Chia-ling & Chen, Shu-heng, 2011. "Interactions in DSGE models: The Boltzmann-Gibbs machine and social networks approach," Economics Discussion Papers 2011-25, Kiel Institute for the World Economy (IfW Kiel).
    10. Bas van Aarle & Bas Van Aarle, 2012. "Macroeconomic Fluctuations in a Stylized DSGE Model with Disequilibrium Dynamics," CESifo Working Paper Series 4017, CESifo.
    11. Dieppe, Alistair & Pandiella, Alberto González & Hall, Stephen & Willman, Alpo, 2013. "Limited information minimal state variable learning in a medium-scale multi-country model," Economic Modelling, Elsevier, vol. 33(C), pages 808-825.
    12. Bas Aarle, 2017. "Macroeconomic fluctuations in a New Keynesian disequilibrium model," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-20, December.

  24. Milani, Fabio, 2009. "Expectations, learning, and the changing relationship between oil prices and the macroeconomy," Energy Economics, Elsevier, vol. 31(6), pages 827-837, November.
    See citations under working paper version above.
  25. Milani, Fabio, 2008. "Learning, monetary policy rules, and macroeconomic stability," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3148-3165, October.
    See citations under working paper version above.
  26. Fabio Milani, 2008. "Monetary Policy With A Wider Information Set: A Bayesian Model Averaging Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(1), pages 1-30, February.
    See citations under working paper version above.
  27. Milani, Fabio, 2007. "Expectations, learning and macroeconomic persistence," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2065-2082, October.
    See citations under working paper version above.
  28. Fabio Milani & Dale J. Poirier, 2007. "Econometric Issues in DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 201-204.

    Cited by:

    1. Muhammad Ali Nasir & Milton Yago & Alaa M. Soliman & Junjie Wu, 2016. "Financial stability, wealth effects and optimal macroeconomic policy combination in the United Kingdom: A new-Keynesian dynamic stochastic general equilibrium framework," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1136098-113, December.
    2. Muhammad Ali Nasir & Alaa M. Soliman & Muhammad Shahbaz, 2021. "Operational aspect of the policy coordination for financial stability: role of Jeffreys–Lindley’s paradox in operations research," Annals of Operations Research, Springer, vol. 306(1), pages 57-81, November.

  29. Belviso Francesco & Milani Fabio, 2006. "Structural Factor-Augmented VARs (SFAVARs) and the Effects of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 6(3), pages 1-46, December.
    See citations under working paper version above.
  30. Fabio Milani, 2006. "A Bayesian DSGE Model with Infinite-Horizon Learning: Do "Mechanical" Sources of Persistence Become Superfluous?," International Journal of Central Banking, International Journal of Central Banking, vol. 2(3), September.
    See citations under working paper version above.
  31. Favero Carlo A. & Milani Fabio, 2005. "Parameter Instability, Model Uncertainty and the Choice of Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-33, February.
    See citations under working paper version above.

Chapters

  1. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: A Survey," Advances in Econometrics, in: DSGE Models in Macroeconomics: Estimation, Evaluation, and New Developments, pages 3-38, Emerald Group Publishing Limited.
    See citations under working paper version above.
  2. Fabio Milani & Ashish Rajbhandari, 2012. "Expectation Formation and Monetary DSGE Models: Beyond the Rational Expectations Paradigm," Advances in Econometrics, in: DSGE Models in Macroeconomics: Estimation, Evaluation, and New Developments, pages 253-288, Emerald Group Publishing Limited.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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