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Roberto Golinelli

Citations

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

Working papers

  1. M. E. Bontempi & M. Frigeri & R. Golinelli & M. Squadrani, 2019. "Uncertainty, Perception and the Internet," Working Papers wp1134, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Gutiérrez, Antonio, 2023. "La brecha de género en el emprendimiento y la cultura emprendedora: Evidencia con Google Trends [Entrepreneurship gender gap and entrepreneurial culture: Evidence from Google Trends]," MPRA Paper 115876, University Library of Munich, Germany.
    2. Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers 2020-11, University of Paris Nanterre, EconomiX.
    3. Min Chen & Zhaobo Zhu & Peiwen Han & Bo Chen & Jia Liu, 2022. "Economic policy uncertainty and analyst behaviours: Evidence from the United Kingdom," Post-Print hal-03628930, HAL.
    4. Daniela Fantozzi & Alessio Muscarnera, 2021. "A News-based Policy Index for Italy: Expectations and Fiscal Policy," CEIS Research Paper 509, Tor Vergata University, CEIS, revised 11 Mar 2021.
    5. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    6. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    7. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    8. Elie Bouri & Rangan Gupta, 2019. "Predicting Bitcoin Returns: Comparing the Roles of Newspaper- and Internet Search-Based Measures of Uncertainty," Working Papers 201955, University of Pretoria, Department of Economics.
    9. Donadelli, Michael & Lalanne, Marie, 2020. "Sex and “the City”: Financial stress and online pornography consumption," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    10. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2022. "The impact and role of COVID-19 uncertainty: A global industry analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    11. Chen, Min & Zhu, Zhaobo & Han, Peiwen & Chen, Bo & Liu, Jia, 2022. "Economic policy uncertainty and analyst behaviours: Evidence from the United Kingdom," International Review of Financial Analysis, Elsevier, vol. 79(C).
    12. Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.
    13. Szczygielski, Jan Jakub & Bwanya, Princess Rutendo & Charteris, Ailie & Brzeszczyński, Janusz, 2021. "The only certainty is uncertainty: An analysis of the impact of COVID-19 uncertainty on regional stock markets," Finance Research Letters, Elsevier, vol. 43(C).

  2. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Gilles Dufrénot & Carolina Ulloa Suarez, 2019. "Public finance sustainability in Europe: a behavioral model," Working Papers halshs-02356400, HAL.
    2. Attinasi, Maria Grazia & Palazzo, Alessandra Anna & Pierluigi, Beatrice, 2019. "Fiscal activism in the euro area and in other advanced economies: new evidence," Working Paper Series 2344, European Central Bank.

  3. M. E. Bontempi & R. Golinelli & M. Squadrani, 2016. "A New Index of Uncertainty Based on Internet Searches: A Friend or Foe of Other Indicators?," Working Papers wp1062, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Michael Donadelli & Luca Gerotto & Marcella Lucchetta & Daniela Arzu, 2018. "Migration Fear, Uncertainty, and Macroeconomic Dynamics," Working Papers 2018:29, Department of Economics, University of Venice "Ca' Foscari".
    2. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.
    3. Hantzsche, Arno, 2022. "Fiscal uncertainty and sovereign credit risk," European Economic Review, Elsevier, vol. 148(C).
    4. Götz, Thomas B. & Knetsch, Thomas A., 2017. "Google data in bridge equation models for German GDP," Discussion Papers 18/2017, Deutsche Bundesbank.
    5. Efrem Castelnuovo & Trung Duc Tran, 2017. "Google It Up! A Google Trends-based Uncertainty Index for the United States and Australia," CESifo Working Paper Series 6695, CESifo.
    6. Bhanu Pratap & Nalin Priyaranjan, 2023. "Macroeconomic effects of uncertainty: a Google trends-based analysis for India," Empirical Economics, Springer, vol. 65(4), pages 1599-1625, October.
    7. María Gil & Javier J. Pérez & Alberto Urtasun, 2019. "Nowcasting private consumption: traditional indicators, uncertainty measures, credit cards and some internet data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    8. Donadelli, Michael & Gufler, Ivan & Pellizzari, Paolo, 2020. "The macro and asset pricing implications of rising Italian uncertainty: Evidence from a novel news-based macroeconomic policy uncertainty index," Economics Letters, Elsevier, vol. 197(C).
    9. Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
    10. Cristina Manteu & Sara Serra, 2017. "Impact of uncertainty measures on the Portuguese economy," Working Papers w201709, Banco de Portugal, Economics and Research Department.
    11. Ademmer, Martin & Beckmann, Joscha & Bode, Eckhardt & Boysen-Hogrefe, Jens & Funke, Manuel & Hauber, Philipp & Heidland, Tobias & Hinz, Julian & Jannsen, Nils & Kooths, Stefan & Söder, Mareike & Stame, 2021. "Big Data in der makroökonomischen Analyse," Kieler Beiträge zur Wirtschaftspolitik 32, Kiel Institute for the World Economy (IfW Kiel).
    12. Bibiana Lanzilotta & Gabriela Mordecki & Victoria Umpiérrez, 2018. "Political economic uncertainty in a small & open economy: the case of Uruguay," Documentos de Trabajo (working papers) 18-05, Instituto de Economía - IECON.
    13. Alberto Urtasun & Mara Gil & Javier J. Perez, 2017. "Nowcasting private consumption: traditional indicators, uncertainty measures, and the role of internet search query data," EcoMod2017 10745, EcoMod.
    14. Peng-Fei Dai & Xiong Xiong & Wei-Xing Zhou, 2019. "A global economic policy uncertainty index from principal component analysis," Papers 1907.05049, arXiv.org, revised Jul 2019.
    15. Gutiérrez, Antonio, 2022. "Movilidad urbana y datos de alta frecuencia [Urban mobility and high frequency data]," MPRA Paper 114854, University Library of Munich, Germany.
    16. Mehwish Aziz Khan & Eatzaz Ahmad, 2018. "Measurement of Investor Sentiment and Its Bi-Directional Contemporaneous and Lead–Lag Relationship with Returns: Evidence from Pakistan," Sustainability, MDPI, vol. 11(1), pages 1-20, December.

  4. Fabio Bacchini & Maria Elena Bontempi & Roberto Golinelli & Cecilia Jona-Lasinio, 2014. "ICT and Non-ICT investments: short and long run macro dynamics," Working Papers LuissLab 14113, Dipartimento di Economia e Finanza, LUISS Guido Carli.

    Cited by:

    1. Hoda Mansour, 2022. "The impact of ICT capital growth on economic growth: the case of Egypt," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 40(2), pages 375-394.

  5. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Götz, Thomas B. & Knetsch, Thomas A., 2017. "Google data in bridge equation models for German GDP," Discussion Papers 18/2017, Deutsche Bundesbank.
    2. Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017. "The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey," Economic Modelling, Elsevier, vol. 64(C), pages 26-39.
    3. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    4. Matteo Mogliani & Anna Simoni, 2020. "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Post-Print hal-03089878, HAL.
    5. Tingguo Zheng & Xinyue Fan & Wei Jin & Kuangnan Fang, 2024. "Forecasting CPI with multisource data: The value of media and internet information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 702-753, April.
    6. an de Meulen, Philipp, 2015. "Das RWI-Kurzfristprognosemodell," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 66(2), pages 25-46.
    7. Christos Papamichael & Nicoletta Pashourtidou, 2016. "The Role of Survey Data in the Construction of Short-term GDP Growth Forecasts," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 10(2), pages 77-109, December.
    8. Kurz-Kim, Jeong-Ryeol, 2018. "A note on the predictive power of survey data in nowcasting euro area GDP," Discussion Papers 10/2018, Deutsche Bundesbank.
    9. Boriss Siliverstovs, 2017. "Short-term forecasting with mixed-frequency data: a MIDASSO approach," Applied Economics, Taylor & Francis Journals, vol. 49(13), pages 1326-1343, March.
    10. Mr. Andrew J Tiffin, 2016. "Seeing in the Dark: A Machine-Learning Approach to Nowcasting in Lebanon," IMF Working Papers 2016/056, International Monetary Fund.
    11. Nicoletta Pashourtidou & Christos Papamichael & Charalampos Karagiannakis, 2018. "Forecasting economic activity in sectors of the Cypriot economy," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(2), pages 24-66, December.
    12. Christiana Anaxagorou & Nicoletta Pashourtidou, 2022. "Forecasting economic activity using preselected predictors: the case of Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 16(1), pages 11-36, June.
    13. Kitlinski, Tobias & an de Meulen, Philipp, 2015. "The role of targeted predictors for nowcasting GDP with bridge models: Application to the Euro area," Ruhr Economic Papers 559, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    14. Yutaka Kurihara & Akio Fukushima, 2019. "AR Model or Machine Learning for Forecasting GDP and Consumer Price for G7 Countries," Applied Economics and Finance, Redfame publishing, vol. 6(3), pages 1-6, May.
    15. Marcus Cobb, 2014. "GDP Forecasting Bias due to Aggregation Inaccuracy in a Chain- Linking Framework," Working Papers Central Bank of Chile 721, Central Bank of Chile.

  6. Alberto Baffigi & Maria Elena Bontempi & Roberto Golinelli, 2013. "Output potenziale, gap e inflazione in Italia nel lungo periodo (1861-2010): un'analisi econometrica," Quaderni di storia economica (Economic History Working Papers) 29, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Baffigi, Alberto & Bontempi, Maria Elena & Felice, Emanuele & Golinelli, Roberto, 2015. "The changing relationship between inflation and the economic cycle in Italy: 1861–2012," Explorations in Economic History, Elsevier, vol. 56(C), pages 53-70.
    2. Riccardo De Bonis & Andrea Silvestrini, 2014. "The Italian financial cycle: 1861-2011," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 8(3), pages 301-334, September.
    3. Massimiliano Agovino & Michele Bevilacqua & Massimiliano Cerciello, 2022. "Language as a proxy for cultural change. A contrastive analysis for French and Italian lexicon on male homosexuality," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 149-172, February.
    4. Fabio Clementi & Marco Gallegati & Mauro Gallegati, 2015. "Growth and Cycles of the Italian Economy Since 1861: The New Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(1), pages 25-59, March.

  7. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Christiane Baumeister & Pierre Guérin, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," CESifo Working Paper Series 8656, CESifo.
    2. Caroline Jardet & Baptiste Meunier, 2022. "Nowcasting world GDP growth with high‐frequency data," Post-Print hal-03647097, HAL.
    3. Jaime Martínez-Martín & Elena Rusticelli, 2020. "Keeping track of global trade in real time," Working Papers 2019, Banco de España.
    4. Kose, M. Ayhan & Sugawara, Naotaka & E. Terrones, Marco, 2020. "Global Recessions," CEPR Discussion Papers 14397, C.E.P.R. Discussion Papers.
    5. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    6. Laurent Ferrara & Anna Simoni, 2020. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," EconomiX Working Papers 2020-11, University of Paris Nanterre, EconomiX.
    7. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    8. Chen, Qiwei & Costantini, Mauro & Deschamps, Bruno, 2016. "How accurate are professional forecasts in Asia? Evidence from ten countries," International Journal of Forecasting, Elsevier, vol. 32(1), pages 154-167.
    9. Francesco Ravazzolo & Joaquin Vespignani, 2017. "World steel production: A new monthly indicator of global real economic activity," CAMA Working Papers 2017-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Maximo Camacho & Jaime Martinez-Martin, 2015. "Monitoring the world business cycle," Working Papers 1509, Banco de España.
    11. Baumann, Ursel & Gomez-Salvador, Ramon & Seitz, Franz, 2019. "Detecting turning points in global economic activity," Working Paper Series 2310, European Central Bank.
    12. Enrico D’Elia & Francesca Faedda & Giacomo Giannone, 2020. "Un modello statistico per il monitoraggio delle entrate tributarie (MoME)," Working Papers wp2020-5, Ministry of Economy and Finance, Department of Finance.
    13. Laurent Ferrara & Clément Marsilli, 2019. "Nowcasting global economic growth: A factor‐augmented mixed‐frequency approach," The World Economy, Wiley Blackwell, vol. 42(3), pages 846-875, March.
    14. Ullrich Heilemann & Karsten Müller, 2018. "Wenig Unterschiede – Zur Treffsicherheit Internationaler Prognosen und Prognostiker [Few differences—on the accuracy of international forecasts and forecaster]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 12(3), pages 195-233, December.
    15. Sokolov-Mladenović, Svetlana & Milovančević, Milos & Mladenović, Igor, 2017. "Evaluation of trade influence on economic growth rate by computational intelligence approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 358-362.
    16. Katja Heinisch & Axel Lindner, 2019. "For how long do IMF forecasts of world economic growth stay up-to-date?," Applied Economics Letters, Taylor & Francis Journals, vol. 26(3), pages 255-260, February.
    17. Lya Paola Sierra Suárez & Jaime Andrés Collazos-Rodríguez & Johana Sanabria-Domínguez & Pavel Vidal-Alejandro, 2017. "La construcción de indicadores de la actividad económica: una revisión bibliográfica," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 36(64), pages 79-107, October.
    18. Klaus Abberger & Michael Graff & Oliver Müller & Jan-Egbert Sturm, 2022. "Composite global indicators from survey data: the Global Economic Barometers," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(3), pages 917-945, August.
    19. Drechsel, Katja & Giesen, Sebastian & Lindner, Axel, 2014. "Outperforming IMF Forecasts by the Use of Leading Indicators," IWH Discussion Papers 4/2014, Halle Institute for Economic Research (IWH).
    20. Yu Cheng Lin & Sang Do Park, 2023. "Effects of FDI, External Trade, and Human Capital of the ICT Industry on Sustainable Development in Taiwan," Sustainability, MDPI, vol. 15(14), pages 1-24, July.

  8. J. Easaw & R. Golinelli & M. Malgarini, 2012. "Do Households Anchor their Inflation Expectations? Theory and Evidence from a Household Survey," Working Papers wp842, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Easaw, Joshy & Golinelli, Roberto & Malgarini, Marco, 2013. "What determines households inflation expectations? Theory and evidence from a household survey," European Economic Review, Elsevier, vol. 61(C), pages 1-13.
    2. Ehrmann, Michael & Stracca, Livio & Soudan, Michel, 2012. "Explaining EU citizens’ trust in the ECB in normal and crisis times," Working Paper Series 1501, European Central Bank.
    3. Mellina, Sathya & Schmidt, Tobias, 2018. "The role of central bank knowledge and trust for the public's inflation expectations," Discussion Papers 32/2018, Deutsche Bundesbank.
    4. Michael J. Lamla & Lena Draeger, 2013. "Anchoring of Consumers' Inflation Expectations," KOF Working papers 13-339, KOF Swiss Economic Institute, ETH Zurich.
    5. Dräger, Lena & Lamla, Michael, 2013. "Anchoring of Consumers' Inflation Expectations: Evidence from Microdata," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79889, Verein für Socialpolitik / German Economic Association.
    6. Murillo Garza José Antonio & Sánchez-Romeu Paula, 2012. "Testing the Predictive Power of Mexican Consumers' Inflation Expectations," Working Papers 2012-13, Banco de México.

  9. Alessandro Borin & Riccardo Cristadoro & Roberto Golinelli & Giuseppe Parigi, 2012. "Forecasting world output: the rising importance of emerging economies," Temi di discussione (Economic working papers) 853, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    2. Fabio Bacchini & Cristina Brandimarte & Piero Crivelli & Roberta De Santis & Marco Fioramanti & Alessandro Girardi & Roberto Golinelli & Cecilia Jona-Lasinio & Massimo Mancini & Carmine Pappalardo & D, 2013. "Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 17-45.
    3. Jarko Fidrmuc & Ivana Batorova, 2008. "China in the World Economy: Dynamic Correlation Analysis of Business Cycles," WIDER Working Paper Series RP2008-02, World Institute for Development Economic Research (UNU-WIDER).
    4. Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.
    5. Drechsel, Katja & Giesen, Sebastian & Lindner, Axel, 2014. "Outperforming IMF Forecasts by the Use of Leading Indicators," IWH Discussion Papers 4/2014, Halle Institute for Economic Research (IWH).

  10. Golinelli, Roberto & Rovelli, Riccardo, 2011. "Did Growth and Reforms Increase Citizens' Support for the Transition?," IZA Discussion Papers 5836, Institute of Labor Economics (IZA).

    Cited by:

    1. Friedrichsen, Jana & Zahn, Philipp, 2012. "Political support in hard times : do people care about national welfare?," Working Papers 12-12, University of Mannheim, Department of Economics.
    2. Rieth, Malte & Wittich, Jana, 2020. "The impact of ECB policy on structural reforms," European Economic Review, Elsevier, vol. 122(C).
    3. Sergei Guriev & Ekaterina Zhuravskaya, 2007. "(Un)Happiness in Transition," Working Papers w0111, Center for Economic and Financial Research (CEFIR).
    4. Agnello, Luca & Castro, Vitor & Jalles, João Tovar & Sousa, Ricardo M., 2015. "What determines the likelihood of structural reforms?," European Journal of Political Economy, Elsevier, vol. 37(C), pages 129-145.
    5. Nikolova, Milena, 2016. "Minding the happiness gap: Political institutions and perceived quality of life in transition," European Journal of Political Economy, Elsevier, vol. 45(S), pages 129-148.
    6. Rieth, Malte & Wittich, Jana, 2020. "The impact of ECB policy on structural reforms," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 122.
    7. Duval, Romain & Furceri, Davide & Miethe, Jakob, 2020. "Robust political economy correlates of major product and labor market reforms in advanced economies: Evidence from BAMLE for logit models," Munich Reprints in Economics 84714, University of Munich, Department of Economics.
    8. Sirovátka, Tomáš & Guzi, Martin & Saxonberg, Steve, 2019. "Support for Market Economy Principles in European Post-Communist Countries during 1999–2008," MPRA Paper 97585, University Library of Munich, Germany.
    9. Salih BARIŞIK & Kubilay ERGEN, 2023. "Heterogenous Effects of the Determinants of Pro-market Reforms: Panel Quantile Estimation for OECD Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 36-51, June.
    10. Askarov, Zohid & Doucouliagos, Hristos, 2015. "Aid and institutions in transition economies," European Journal of Political Economy, Elsevier, vol. 38(C), pages 55-70.
    11. Irina Denisova, 2016. "Institutions and the support for market reforms," IZA World of Labor, Institute of Labor Economics (IZA), pages 258-258, May.

  11. Bianco, Madga & Golinelli, Roberto & Parigi, Giuseppe, 2009. "Family firms and investments," MPRA Paper 19247, University Library of Munich, Germany.

    Cited by:

    1. Bouzgarrou, Houssam & Navatte, Patrick, 2013. "Ownership structure and acquirers performance: Family vs. non-family firms," International Review of Financial Analysis, Elsevier, vol. 27(C), pages 123-134.
    2. Leandro D�Aurizio & Livio Romano, 2013. "Family firms and the Great Recession: out of sight, out of mind?," Temi di discussione (Economic working papers) 905, Bank of Italy, Economic Research and International Relations Area.
    3. Antonio Accetturo & Matteo Bugamelli & Andrea Lamorgese, 2012. "Welcome to the machine: firms' reaction to low-skilled immigration," Temi di discussione (Economic working papers) 846, Bank of Italy, Economic Research and International Relations Area.
    4. Marco Pini, 2019. "Family management and Industry 4.0: Different effects in different geographical areas? An analysis of the less developed regions in Italy," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 15(3), pages 73-102.
    5. Andrea Bassanini & Thomas Breda & Eve Caroli & Antoine Rebérioux, 2013. "Working in Family Firms: Paid Less but More Secure? Evidence from French Matched Employer-Employee Data," ILR Review, Cornell University, ILR School, vol. 66(2), pages 433-466, April.
    6. Andrea Bassanini & Eve Caroli & Antoine Rebérioux & Thomas Breda, 2011. "Working in family firms: less paid but more secure? Evidence from French matched employer-employee data," Working Papers hal-04140942, HAL.
    7. Damiani, Mirella & Pompei, Fabrizio & Ricci, Andrea, 2018. "Family firms and labour productivity: the role of enterprise-level bargaining in the Italian economy," MPRA Paper 91329, University Library of Munich, Germany.
    8. Isabel Feito-Ruiz & Clara Cardone-Riportella & Susana Menéndez-Requejo, 2014. "SMEs’ Delisting Decisions on the Alternative Investment Market (AIM): Family Holders and Financial Crisis," Working Papers 14.02, Universidad Pablo de Olavide, Department of Financial Economics and Accounting (former Department of Business Administration).
    9. Maria Elena Bontempi & Roberto Golinelli, 2012. "The effect of neglecting the slope parameters’ heterogeneity on dynamic models of corporate capital structure," Quantitative Finance, Taylor & Francis Journals, vol. 12(11), pages 1733-1751, November.
    10. Matteo Bugamelli & Luigi Cannari & Francesca Lotti & Silvia Magri, 2012. "The innovation gap of Italy�s production system: roots and possible solutions," Questioni di Economia e Finanza (Occasional Papers) 121, Bank of Italy, Economic Research and International Relations Area.
    11. Caprio, Lorenzo & Croci, Ettore & Del Giudice, Alfonso, 2011. "Ownership structure, family control, and acquisition decisions," Journal of Corporate Finance, Elsevier, vol. 17(5), pages 1636-1657.
    12. Valentina Peruzzi, 2017. "Does family ownership structure affect investment-cash flow sensitivity? Evidence from Italian SMEs," Applied Economics, Taylor & Francis Journals, vol. 49(43), pages 4378-4393, September.
    13. Ettore Croci & Alfonso Del Giudice, 2014. "Delistings, Controlling Shareholders and Firm Performance in Europe," European Financial Management, European Financial Management Association, vol. 20(2), pages 374-405, March.

  12. Roberto Golinelli & Sandro Momigliano, 2008. "The cyclical response of fiscal policies in the euro area. Why do results of empirical research differ so strongly?," Temi di discussione (Economic working papers) 654, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Aleksander Aristovnik & Matevž Meze, 2017. "The impact of supranational fiscal rules on public finance: the case of EMU member states," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 19(1), pages 38-53.
    2. António Afonso & João Tovar-Valles, 2011. "Appraising fiscal reaction functions," Working Papers Department of Economics 2011/23, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    3. Ionut Dumitru & Razvan Stanca, 2011. "Fiscal discipline and economic growth – the case of Romania," Advances in Economic and Financial Research - DOFIN Working Paper Series 50, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    4. Avellan, Leopoldo & Vuletin, Guillermo, 2015. "Fiscal procyclicality and output forecast errors," Journal of International Money and Finance, Elsevier, vol. 55(C), pages 193-204.
    5. Álvaro M. Pina, 2009. "Elusive Counter-Cyclicality and Deliberate Opportunism? Fiscal Policy from Plans to Final Outcomes," Working Papers w200906, Banco de Portugal, Economics and Research Department.
    6. Pilar Poncela & Eva Senra & Daniel Sotelsek & Guido Zack, 2014. "Some New Results on the Estimation of Structural Budget Balance for Spain," Hacienda Pública Española / Review of Public Economics, IEF, vol. 210(3), pages 11-31, September.
    7. Luca Agnello & Jacopo Cimadomo, 2012. "Discretionary Fiscal Policies over the Cycle: New Evidence Based on the ESCB Disaggregated Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 8(2), pages 43-85, June.
    8. Beetsma, Roel & Giuliodori, Massimo & Wierts, Peter & Walschot, Mark, 2010. "Fifty Years of Fiscal Planning and Implementation in the Netherlands," CEPR Discussion Papers 7969, C.E.P.R. Discussion Papers.
    9. Roel Beetsma & Massimo Giuliodori, 2010. "Fiscal adjustment to cyclical developments in the OECD: an empirical analysis based on real-time data," Oxford Economic Papers, Oxford University Press, vol. 62(3), pages 419-441, July.
    10. Steven P. Cassou & Hedieh Shadmani & Jesús Vázquez, 2017. "Fiscal policy asymmetries and the sustainability of US government debt revisited," Empirical Economics, Springer, vol. 53(3), pages 1193-1215, November.
    11. Afonso, António & Tovar Jalles, João, 2017. "Sovereign debt composition and time-varying public finance sustainability," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 144-155.
    12. V. Anton Muscatelli & Piergiovanna Natale & Patrizio Tirelli, 2010. "A simple and flexible alternative to the Stability and Growth Pact deficit ceilings. Is it at hand?," Working Papers 195, University of Milano-Bicocca, Department of Economics, revised Jul 2010.
    13. Andrew Hughes Hallett & Rasmus Kattai & John Lewis, 2009. "Can we rely on real time figures for cyclically adjusted budget balances?," Bank of Estonia Working Papers 2009-2, Bank of Estonia, revised 20 Oct 2009.
    14. Mencinger, Jernej & Aristovnik, Aleksander, 2014. "Fiscal Policy Stance Reaction to the Financial/Economic Crisis in the EMU: The Case of Slovenia," MPRA Paper 62109, University Library of Munich, Germany.
    15. Francesco Caprioli & Sandro Momigliano, 2011. "The effects of fiscal shocks with debt-stabilizing budgetary policies in Italy," Temi di discussione (Economic working papers) 839, Bank of Italy, Economic Research and International Relations Area.
    16. Mencinger, Jernej & Aristovnik, Aleksander, 2013. "Fiscal Policy Stance in the European Union: The Impact of the Euro," MPRA Paper 44708, University Library of Munich, Germany.
    17. Jean-Louis Combes & Alexandru Minea & Mousse Ndoye Sow, 2017. "Is fiscal policy always counter- (pro-) cyclical? The role of public debt and fiscal rules," Post-Print hal-01682627, HAL.
    18. António AFONSO & Priscilla TOFFANO, 2013. "Fiscal regimes in the EU," Working Papers of Department of Economics, Leuven ces13.06, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    19. Frane Banic & Dominik Ivan Pripuzic & Pave Rebic, 2023. "Short- and medium-term fiscal positions in a high-inflation environment: the case of Croatia," Public Sector Economics, Institute of Public Finance, vol. 47(4), pages 461-475.
    20. Mogaji, Peter Kehinde, 2015. "Fiscal Cyclicality in the Anglophone West Africa and Guinea: Panel Data Assessments of Contemporaneous and Lagged Fiscal Rules," MPRA Paper 99800, University Library of Munich, Germany.
    21. Bernardi, Luigi, 2009. "Quali percorsi per la finanza pubblica italiana? Primi elementi di discussione [Perspective developments of public finance in Italy: a primer]," MPRA Paper 17578, University Library of Munich, Germany.
    22. Checherita-Westphal, Cristina & Žďárek, Václav, 2017. "Fiscal reaction function and fiscal fatigue: evidence for the euro area," Working Paper Series 2036, European Central Bank.
    23. Kuusi, Tero, 2018. "Does the structural budget balance guide fiscal policy pro-cyclically? Evidence from the Finnish Great Depression of the 1990s," MPRA Paper 84829, University Library of Munich, Germany.
    24. Beetsma, Roel & Giuliodori, Massimo & Wierts, Peter, 2009. "Budgeting versus implementing fiscal policy in the EU," CEPR Discussion Papers 7285, C.E.P.R. Discussion Papers.
    25. I. Mammi, 2015. "GMM estimation of fiscal rules: Monte Carlo experiments and empirical tests," Working Papers wp1028, Dipartimento Scienze Economiche, Universita' di Bologna.
    26. Vito Tanzi, 2011. "The Return to Fiscal Rectitude After the Recent Escapade," Rivista di Politica Economica, SIPI Spa, issue 3, pages 253-277, JULY-SEPT.
    27. António Afonso & João Tovar Jalles, 2017. "Sovereign Debt Effects and Composition: Evidence from Time-Varying Estimates," Working Papers Department of Economics 2017/03, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    28. Ferdinandusse, Marien & Checherita-Westphal, Cristina & Attinasi, Maria Grazia & Lalouette, Laure & Bańkowski, Krzysztof & Palaiodimos, Georgios & Trindade Campos, Maria Manuel, 2017. "Euro area fiscal stance," Occasional Paper Series 182, European Central Bank.
    29. Roberto Golinelli & Sandro Momigliano, 2009. "The Cyclical Reaction of Fiscal Policies in the Euro Area: The Role of Modelling Choices and Data Vintages," Fiscal Studies, John Wiley & Sons, vol. 30(1), pages 39-72, March.
    30. Christoph Peatz, 2020. "Fiscal Rules in Good Times and Bad," IMK Working Paper 206-2020, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    31. Alessandro Turrini, 2008. "Fiscal policy and the cycle in the Euro Area: The role of government revenue and expenditure," European Economy - Economic Papers 2008 - 2015 323, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    32. Helena Glebocki Keefe & Hedieh Shadmani, 2020. "Examining the asymmetric monetary policy response to foreign exchange market conditions in emerging and developing economies," International Economics and Economic Policy, Springer, vol. 17(2), pages 503-530, May.

  13. Elena Bontempi & Roberto Golinelli & Giuseppe Parigi, 2007. "Why demand uncertainty curbs investment: Evidence froma a panel of Italian manufacturing firms," Temi di discussione (Economic working papers) 621, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Hsieh, Chia-Chun & Ma, Zhiming & Novoselov, Kirill E., 2019. "Accounting conservatism, business strategy, and ambiguity," Accounting, Organizations and Society, Elsevier, vol. 74(C), pages 41-55.
    2. Carstensen, Kai & Bachmann, Rüdiger & Schneider, Martin & Lautenbacher, Stefan, 2018. "Uncertainty is Change," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181572, Verein für Socialpolitik / German Economic Association.
    3. Fabio Bacchini & Maria Elena Bontempi & Roberto Golinelli & Cecilia Jona-Lasinio, 2014. "ICT and Non-ICT investments: short and long run macro dynamics," Working Papers LuissLab 14113, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    4. Lautenbacher, Stefan, 2020. "Subjective Uncertainty, Expectations, and Firm Behavior," MPRA Paper 103516, University Library of Munich, Germany.
    5. Trinks, Arjan & Mulder, Machiel & Scholtens, Bert, 2022. "External carbon costs and internal carbon pricing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    6. Bloom, Nicholas & Davis, Steven J. & Foster, Lucia & Ohlmacher, Scott & Saporta-Eksten, Itay, 2022. "Investment and Subjective Uncertainty," IZA Discussion Papers 15710, Institute of Labor Economics (IZA).
    7. CHEN Cheng & SENGA Tatsuro & SUN Chang & ZHANG Hongyong, 2018. "Expectation Formation and Firm Activities: New evidence from a business outlook survey in Japan," Discussion papers 18059, Research Institute of Economy, Trade and Industry (RIETI).
    8. Gnangnon, Sèna Kimm, 2022. "Duration of WTO Membership and Investment-Oriented Remittances Flows," EconStor Preprints 251274, ZBW - Leibniz Information Centre for Economics.
    9. Recalde, Marina, 2011. "Energy policy and energy market performance: The Argentinean case," Energy Policy, Elsevier, vol. 39(6), pages 3860-3868, June.
    10. Ranjan Kumar Dash, 2020. "Impact of Remittances on Domestic Investment: A Panel Study of Six South Asian Countries," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 21(1), pages 7-30, March.
    11. HOSONO Kaoru & TAKIZAWA Miho & YAMANOUCHI Kenta, 2017. "Competition, Uncertainty, and Misallocation," Discussion papers 17071, Research Institute of Economy, Trade and Industry (RIETI).
    12. Catherine Mathieu & Henri Sterdyniak, 2015. "What future for taxation in the EU ?," Sciences Po publications info:hdl:2441/6m2bi4eoh48, Sciences Po.
    13. Giuseppe Fiori & Filippo Scoccianti, 2021. "The Economic Effects of Firm-Level Uncertainty: Evidence Using Subjective Expectations," International Finance Discussion Papers 1320, Board of Governors of the Federal Reserve System (U.S.).
    14. Alessandro Borin & Michele Mancini, 2016. "Foreign direct investment and firm performance: an empirical analysis of Italian firms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 152(4), pages 705-732, November.
    15. Li, Guangzhong & Li, Jie & Wu, Yangru, 2019. "Exchange rate uncertainty and firm-level investment: Finding the Hartman–Abel effect," Journal of Comparative Economics, Elsevier, vol. 47(2), pages 441-457.
    16. Gaganan Awano & Nicholas Bloom & Ted Dolby & Paul Mizen & Rebecca Riley & Tatsuro Senga & John Van Reenen & Jenny Vyas & Philip Wales, 2018. "A firm-level perspective on micro- and macro-level uncertainty; An analysis of business expectations and uncertainty from the UK Management and Expectations Survey," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-10, Economic Statistics Centre of Excellence (ESCoE).
    17. Bryson, Alex & Dale-Olsen, Harald & Gulbrandsen, Trygve, 2016. "Family Ownership, Workplace Closure and the Recession," IZA Discussion Papers 9877, Institute of Labor Economics (IZA).
    18. Antonio Accetturo & Matteo Bugamelli & Andrea Lamorgese, 2012. "Welcome to the machine: firms' reaction to low-skilled immigration," Temi di discussione (Economic working papers) 846, Bank of Italy, Economic Research and International Relations Area.
    19. MORIKAWA Masayuki, 2013. "What Type of Policy Uncertainty Matters for Business?," Discussion papers 13076, Research Institute of Economy, Trade and Industry (RIETI).
    20. Dibiasi, Andreas & Abberger, Klaus & Siegenthaler, Michael & Sturm, Jan-Egbert, 2018. "The effects of policy uncertainty on investment: Evidence from the unexpected acceptance of a far-reaching referendum in Switzerland," European Economic Review, Elsevier, vol. 104(C), pages 38-67.
    21. Giorgio Fazio & Davide Piacentino, 2009. "A spatial multilevel analysis of Italian SMEs Productivity," Working Papers 2009_31, Business School - Economics, University of Glasgow.
    22. Nicholas Bloom & Takafumi Kawakubo & Charlotte Meng & Paul Mizen & Rebecca Riley & Tatsuro Senga & John Van Reenen, 2021. "Do Well Managed Firms Make Better Forecasts?," NBER Working Papers 29591, National Bureau of Economic Research, Inc.
    23. Magda Bianco & Maria Bontempi & Roberto Golinelli & Giuseppe Parigi, 2013. "Family firms’ investments, uncertainty and opacity," Small Business Economics, Springer, vol. 40(4), pages 1035-1058, May.
    24. Morikawa, Masayuki, 2016. "Business uncertainty and investment: Evidence from Japanese companies," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 224-236.
    25. MORIKAWA Masayuki, 2019. "Firms' Subjective Uncertainty and Forecast Errors," Discussion papers 19055, Research Institute of Economy, Trade and Industry (RIETI).
    26. Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2018. "Firms’ and households’ investment in Italy: the role of credit constraints and other macro factors," Temi di discussione (Economic working papers) 1167, Bank of Italy, Economic Research and International Relations Area.
    27. Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2022. "Assessing the usefulness of survey‐based data in forecasting firms' capital formation: Evidence from Italy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 491-513, April.
    28. Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2021. "Forecasting corporate capital accumulation in Italy: the role of survey-based information," Questioni di Economia e Finanza (Occasional Papers) 596, Bank of Italy, Economic Research and International Relations Area.
    29. Klaus Abberger & Andreas Dibiasi & Michael Siegenthaler & Jan-Egbert Sturm, 2016. "The Effect of Policy Uncertainty on Investment Plans: Evidence from the Unexpected Acceptance of a Far-Reaching Referendum in Switzerland," CESifo Working Paper Series 5887, CESifo.
    30. Bachmann, Rüdiger & Elstner, Steffen & Hristov, Atanas, 2017. "Surprise, surprise – Measuring firm-level investment innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 107-148.
    31. Gaiotti, Eugenio, 2013. "Credit availability and investment: Lessons from the “great recession”," European Economic Review, Elsevier, vol. 59(C), pages 212-227.
    32. Claudiu Tiberiu Albulescu & Şerban Miclea & Simina Silvana Suciu & Matei Tămăşilă, 2018. "Firm-level investment in the extractive industry from CEE countries: the role of macroeconomic uncertainty and internal conditions," Post-Print hal-02517371, HAL.
    33. Chia‐Ching Lin & Kun‐Ming Chen, 2022. "Market competition, exchange rate uncertainty, and foreign direct investment," Review of Development Economics, Wiley Blackwell, vol. 26(1), pages 405-422, February.
    34. MORIKAWA Masayuki, 2022. "Firms' Knightian Uncertainty during the COVID-19 Crisis," Discussion papers 22089, Research Institute of Economy, Trade and Industry (RIETI).
    35. Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.
    36. Masayuki Morikawa, 2016. "What Types of Policy Uncertainties Matter for Business?," Pacific Economic Review, Wiley Blackwell, vol. 21(5), pages 527-540, December.
    37. Bachmann, Rüdiger, 2019. "Comments on “Monetary policy announcements and expectations: Evidence from German firms”," Journal of Monetary Economics, Elsevier, vol. 108(C), pages 64-68.
    38. Hongsheng Fang & Wen‐Quan Hu & Ruhua Shi & Xufei Zhang, 2023. "The Chinese‐style macroeconomic control: The role of state‐owned enterprises," The World Economy, Wiley Blackwell, vol. 46(3), pages 702-725, March.
    39. N. N., 2015. "WIFO-Monatsberichte, Heft 11/2015," WIFO Monatsberichte (monthly reports), WIFO, vol. 88(11), November.
    40. Morikawa, Masayuki, 2019. "Uncertainty over production forecasts: An empirical analysis using monthly quantitative survey data," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 163-179.
    41. MORIKAWA Masayuki, 2018. "Measuring Firm-level Uncertainty: New evidence from a business outlook survey," Discussion papers 18030, Research Institute of Economy, Trade and Industry (RIETI).
    42. Binding, Garret & Dibiasi, Andreas, 2017. "Exchange rate uncertainty and firm investment plans evidence from Swiss survey data," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 1-27.
    43. MORIKAWA Masayuki, 2021. "Uncertainty of Firms' Economic Outlook During the COVID-19 Crisis," Discussion papers 21042, Research Institute of Economy, Trade and Industry (RIETI).
    44. Bowen Zheng & Mengjie Zhang & Xuefang Zhang, 2022. "The rise of market power and firms' investment: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(5), pages 4807-4830, December.
    45. Kang, Wensheng & Lee, Kiseok & Ratti, Ronald A., 2014. "Economic policy uncertainty and firm-level investment," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 42-53.
    46. Steve Bond & Gicoamo Rodano & Nicolas Serrano-Velarde, 2015. "Investment Dynamics in Italy: Financing Constraints, Demand and Uncertainty," Questioni di Economia e Finanza (Occasional Papers) 283, Bank of Italy, Economic Research and International Relations Area.
    47. Ranjan Kumar Dash & Deepa Jitendra Gupta & Tarun Khandelwal, 2024. "Revisited the role of foreign aid in capital formation: experience of South Asian countries," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    48. Daniel Dejuan-Bitria & Corinna Ghirelli, 2021. "Economic policy uncertainty and investment in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(3), pages 351-388, September.
    49. Bachmann, Rüdiger & Bayer, Christian, 2013. "‘Wait-and-See’ business cycles?," Journal of Monetary Economics, Elsevier, vol. 60(6), pages 704-719.
    50. Eugenio Gaiotti, 2011. "Credit availability and investment in Italy: lessons from the "Great Recession"," Temi di discussione (Economic working papers) 793, Bank of Italy, Economic Research and International Relations Area.
    51. Nicholas Bloom & Steven J. Davis & Lucia Foster & Brian Lucking & Scott Ohlmacher & Itay Saporta-Eksten, 2020. "Business-Level Expectations and Uncertainty," Working Papers 20-41, Center for Economic Studies, U.S. Census Bureau.
    52. Dario Simon Judzik & Hector Sala Lorda, 2014. "The determinants of capital intensity in Japan and the U.S," Working Papers wpdea1404, Department of Applied Economics at Universitat Autonoma of Barcelona.
    53. Gnangnon, Sèna Kimm, 2023. "Duration of membership in the world trade organization and investment-oriented remittances inflows," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 258-277.
    54. Ines Buono & Sara Formai, 2019. "Bank credit, liquidity and firm-level investment: are recessions different?," Temi di discussione (Economic working papers) 1239, Bank of Italy, Economic Research and International Relations Area.
    55. Ruediger Bachmann & Kai Carstensen & Stefan Lautenbacher & Martin Schneider, 2021. "Uncertainty and Change: Survey Evidence of Firms's Subjective Beliefs," CESifo Working Paper Series 9394, CESifo.
    56. Maria Elena Bontempi, 2016. "Investment--uncertainty relationship: differences between intangible and physical capital," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 25(3), pages 240-268, April.
    57. Daniel Dejuán & Corinna Ghirelli, 2018. "Policy uncertainty and investment in Spain," Working Papers 1848, Banco de España.
    58. Christian Glocker & Werner Hölzl, 2019. "Assessing the Economic Content of Direct and Indirect Business Uncertainty Measures," WIFO Working Papers 576, WIFO.
    59. Fabio Busetti & Claire Giordano & Giordano Zevi, 2015. "Main drivers of the recent decline in Italy�s non-construction investment," Questioni di Economia e Finanza (Occasional Papers) 276, Bank of Italy, Economic Research and International Relations Area.
    60. Klaus Abberger & Andreas Dibiasi & Michael Siegenthaler & Jan-Egbert Sturm, 2016. "The Effect of Policy Uncertainty on Investment Plans," KOF Working papers 16-406, KOF Swiss Economic Institute, ETH Zurich.
    61. Martin Falk & Werner Hölzl & Harald Oberhofer, 2015. "Die Bedeutung von unternehmensbezogenen Individualdaten für die empirische Wirtschaftsforschung und wirtschaftspolitische Beratung," WIFO Monatsberichte (monthly reports), WIFO, vol. 88(11), pages 845-857, November.
    62. Bańbura, Marta & Albani, Maria & Ambrocio, Gene & Bursian, Dirk & Buss, Ginters & de Winter, Jasper & Gavura, Miroslav & Giordano, Claire & Júlio, Paulo & Le Roux, Julien & Lozej, Matija & Malthe-Thag, 2018. "Business investment in EU countries," Occasional Paper Series 215, European Central Bank.
    63. Gil, Pedro Mazeda, 2012. "Investment under uncertainty: The nature of demand shocks and the expected profitability of capital," Economics Letters, Elsevier, vol. 114(2), pages 154-156.

  14. Roberto Golinelli & Sandro Momigliano, 2006. "Real-time determinants of fiscal policies in the euro area: Fiscal rules, cyclical conditions and elections," Temi di discussione (Economic working papers) 609, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Avellan, Leopoldo & Vuletin, Guillermo, 2015. "Fiscal procyclicality and output forecast errors," Journal of International Money and Finance, Elsevier, vol. 55(C), pages 193-204.
    2. Fabrizio Balassone & Daniele Franco & Stefania Zotteri, 2007. "The Reliability of EMU FIscal Indicators: Risks and Safeguards," Temi di discussione (Economic working papers) 633, Bank of Italy, Economic Research and International Relations Area.
    3. Jacopo Cimadomo, 2011. "Real-Time Data and Fiscal Policy Analysis: a Survey of the Literature," Working Papers 2011-20, CEPII research center.
    4. Jean-Paul Pollin & Jean-Luc Gaffard, 2013. "Pourquoi faut-il séparer les activités bancaires ?," Post-Print hal-00972749, HAL.
    5. António Afonso & Peter Claeys & Ricardo Sousa, 2011. "Fiscal regime shifts in Portugal," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 10(2), pages 83-108, August.
    6. Candelon, B. & Muysken, J. & Vermeulen, R., 2007. "Fiscal policy and monetary integration in Europe: an update," Research Memorandum 050, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    7. Paloviita, Maritta, 2012. "Fiscal planning and implementation: euro area analysis based on real time data," Bank of Finland Research Discussion Papers 34/2012, Bank of Finland.
    8. Hughes Hallett, Andrew & Bernoth, Kerstin & Lewis, John, 2008. "Did Fiscal Policy Makers Know What They Were Doing? Reassessing Fiscal Policy with Real Time Data," CEPR Discussion Papers 6758, C.E.P.R. Discussion Papers.
    9. Alessandro Turrini, 2008. "Fiscal policy and the cycle in the Euro Area: The role of government revenue and expenditure," European Economy - Economic Papers 2008 - 2015 323, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.

  15. Parigi, Giuseppe & Golinelli, Roberto, 2005. "Short-Run Italian GDP Forecasting and Real-Time Data," CEPR Discussion Papers 5302, C.E.P.R. Discussion Papers.

    Cited by:

    1. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    2. Paulo Esteves, 2011. "Direct vs bottom-up approach when forecasting GDP: reconciling literature results with institutional practice," Working Papers w201129, Banco de Portugal, Economics and Research Department.
    3. Enrico D’Elia & Francesca Faedda & Giacomo Giannone, 2020. "Un modello statistico per il monitoraggio delle entrate tributarie (MoME)," Working Papers wp2020-5, Ministry of Economy and Finance, Department of Finance.
    4. Michael P. Clements & Ana Beatriz Galvão, 2009. "Forecasting US output growth using leading indicators: an appraisal using MIDAS models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1187-1206, November.
    5. Giuseppe Parigi & Roberto Golinelli, 2007. "The use of monthly indicators to forecast quarterly GDP in the short run: an application to the G7 countries," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(2), pages 77-94.
    6. Pierre Siklos, 2006. "What Can We Learn from Comprehensive Data Revisions for Forecasting Inflation: Some US Evidence," Working Papers eg0049, Wilfrid Laurier University, Department of Economics, revised 2006.
    7. Thomas A. Knetsch & Hans‐Eggert Reimers, 2009. "Dealing with Benchmark Revisions in Real‐Time Data: The Case of German Production and Orders Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(2), pages 209-235, April.
    8. Bohl, Martin T. & Siklos, Pierre L., 2005. "The Role of Asset Prices in Euro Area Monetary Policy: Specification and Estimation of Policy Rules and Implications for the European Central Bank," Working Paper Series 2005,6, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    9. Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting the French index of industrial production: A comparison from bridge and factor models," Economic Modelling, Elsevier, vol. 29(6), pages 2174-2182.
    10. Barhoumi, K. & Brunhes-Lesage, V. & Darné, O. & Ferrara, L. & Pluyaud, B. & Rouvreau, B., 2008. "Monthly forecasting of French GDP: A revised version of the OPTIM model," Working papers 222, Banque de France.
    11. Jens Hogrefe, 2008. "Forecasting data revisions of GDP: a mixed frequency approach," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(3), pages 271-296, August.

  16. M.E. Bontempi & S. Giannini & R. Golinelli, 2004. "Corporate taxation and its reform:the effects on corporate financing decisions in Italy," Working Papers 501, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Lina Cui, 2013. "A Markov Chain Analysis on the Impact of German Tax Loss Offset Restrictions," Economic Papers, The Economic Society of Australia, vol. 32(1), pages 122-134, March.
    2. Molinari, Massimo, 2013. "Joint analysis of the non-linear debt–growth nexus and cash-flow sensitivity: New evidence from Italy," Structural Change and Economic Dynamics, Elsevier, vol. 24(C), pages 34-44.
    3. Petutschnig, Matthias & Rünger, Silke, 2017. "The effects of a tax allowance for growth and investment: Empirical evidence from a firm-level analysis," arqus Discussion Papers in Quantitative Tax Research 221, arqus - Arbeitskreis Quantitative Steuerlehre.
    4. Giampaolo Arachi & Valeria Bucci, 2013. "Do taxes affect firmsÕ asset write-downs? Evidence from discretionary write-downs of equity investments in Italy," Working Papers EC0002, University of Salento; Department of Management, Economics, Mathematics and Statistics, revised Dec 2013.

  17. Roberto Golinelli & Giuseppe Parigi, 2003. "What is this thing called confidence? A comparative analysis of consumer confidence indices in eight major countries," Temi di discussione (Economic working papers) 484, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Francesco Spadafora, 2004. "Il pilastro privato del sistema previdenziale. Il caso del Regno Unito," Temi di discussione (Economic working papers) 503, Bank of Italy, Economic Research and International Relations Area.
    2. Ramalho, Esmeralda A. & Caleiro, António & Dionfsio, Andreia, 2011. "Explaining consumer confidence in Portugal," Journal of Economic Psychology, Elsevier, vol. 32(1), pages 25-32, February.
    3. Monica Paiella, 2004. "Does wealth affect consumption? Evidence for Italy," Temi di discussione (Economic working papers) 510, Bank of Italy, Economic Research and International Relations Area.
    4. Shumi Akhtar & Robert Faff & Barry Oliver, 2011. "The asymmetric impact of consumer sentiment announcements on Australian foreign exchange rates," Australian Journal of Management, Australian School of Business, vol. 36(3), pages 387-403, December.
    5. Paolo Chiades & Massimo Gallo & Andrea Venturini, 2003. "L�utilizzo degli indicatori compositi nell'analisi congiunturale territoriale: un'applicazione all'economia del Veneto," Temi di discussione (Economic working papers) 485, Bank of Italy, Economic Research and International Relations Area.
    6. Akhtar, Shumi & Faff, Robert & Oliver, Barry & Subrahmanyam, Avanidhar, 2011. "The power of bad: The negativity bias in Australian consumer sentiment announcements on stock returns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1239-1249, May.
    7. Dudek, Sławomir, 2008. "Consumer Survey Data and short-term forecasting of households consumption expenditures in Poland," MPRA Paper 19818, University Library of Munich, Germany.
    8. Paolo Finaldi Russo & Luigi Leva, 2004. "Il debito commerciale in Italia: quanto contano le motivazioni finanziarie?," Temi di discussione (Economic working papers) 496, Bank of Italy, Economic Research and International Relations Area.
    9. Tufan Ekici, 2016. "Subjective Financial Distress in the Formation of Consumer Confidence: Evidence from Novel Household Data," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 30(2), pages 11-36.
    10. Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.

  18. Roberto Golinelli & Riccardo Rovelli, 2002. "Monetary Policy Transmission, Interest Rate Rules and Inflation Targeting in Three Transition Countries," Eastward Enlargement of the Euro-zone Working Papers wp10, Free University Berlin, Jean Monnet Centre of Excellence, revised 01 Aug 2002.

    Cited by:

    1. Abdul Karim, Zulkefly & Md. Said, Fathin Faezah & Jusoh, Mansor & Md. Thahir, Md. Zyadi, 2009. "Monetary policy and inflation targeting in a small open-economy," MPRA Paper 23949, University Library of Munich, Germany, revised 10 Jan 2010.
    2. Lucjan Orlowski, 2003. "Monetary Convergence and Risk Premiums in the EU Accession Countries," Open Economies Review, Springer, vol. 14(3), pages 251-267, July.
    3. Lucjan T Orlowski & Anna Tsibulina, 2014. "Integration of Central and Eastern European and the Euro-Area Financial Markets: Repercussions from the Global Financial Crisis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 56(3), pages 376-395, September.
    4. Lucjan T. Orlowski, 2005. "Targeting Relative Inflation Forecast as Monetary Policy Framework for Adopting the Euro," William Davidson Institute Working Papers Series wp754, William Davidson Institute at the University of Michigan.
    5. Paresh Kumar Narayan & Seema Narayan & Sagarika Mishra & Russell Smyth, 2012. "An analysis of Fiji's monetary policy transmission," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 29(1), pages 52-70, March.
    6. Cândida Ferreira, 2009. "European Integration and the Credit Channel Transmission of Monetary Policy," Working Papers Department of Economics 2009/07, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    7. Konstantins Benkovskis & Andrejs Bessonovs & Martin Feldkircher & Julia Wörz, 2011. "The Transmission of Euro Area Monetary Shocks to the Czech Republic, Poland and Hungary: Evidence from a FAVAR Model," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 8-36.
    8. Gabrisch, Hubert & Orlowski, Lucjan T., 2010. "The Extreme Risk Problem for Monetary Policies of the Euro-Candidates," IWH Discussion Papers 12/2010, Halle Institute for Economic Research (IWH).
    9. Chaiporn Vithessonthi & Markus Schwaninger & Matthias O. Müller, 2016. "Monetary Policy, Bank Lending and Corporate Investment," PIER Discussion Papers 37, Puey Ungphakorn Institute for Economic Research.
    10. Orlowski, Lucjan T., 2010. "Monetary policy rules for convergence to the Euro," Economic Systems, Elsevier, vol. 34(2), pages 148-159, June.
    11. Orlowski, Lucjan T., 2012. "Financial crisis and extreme market risks: Evidence from Europe," Review of Financial Economics, Elsevier, vol. 21(3), pages 120-130.
    12. Pedro J. Gutiérrez-Diez & Tibor Pàl, 2023. "Monetary policy models: lessons from the Eurozone crisis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-19, December.
    13. Papavangjeli, Meri, 2021. "The bank lending channel and monetary transmission in Central, Eastern and South-Eastern European countries," MPRA Paper 116919, University Library of Munich, Germany.
    14. Hubert Gabrisch & Lucjan T Orlowski, 2011. "Extreme Risks in Financial Markets and Monetary Policies of the Euro-Candidates," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 53(4), pages 511-534, December.
    15. Eduard Hochreiter & Riccardo Rovelli, 2002. "The generation and distribution of central bank seigniorage in the Czech Republic, Hungary and Poland," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 55(223), pages 391-415.
    16. Frömmel, Michael & Garabedian, Garo & Schobert, Franziska, 2011. "Monetary policy rules in Central and Eastern European Countries: Does the exchange rate matter?," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 807-818.
    17. Andrew Hughes Hallett & Christian Richter, 2009. "Has there been any structural convergence in the transmission of European monetary policies?," International Economics and Economic Policy, Springer, vol. 6(2), pages 85-101, July.
    18. Orlowski, Lucjan T., 2002. "Monetary convergence and risk premiums in the EU candidate countries," ZEI Working Papers B 26-2002, University of Bonn, ZEI - Center for European Integration Studies.
    19. Bhattacharya, Rudrani & Patnaik, Ila & Shah, Ajay, 2011. "Monetary policy transmission in an emerging market setting," Working Papers 11/78, National Institute of Public Finance and Policy.
    20. Tigran Poghosyan & Evzen Kocenda, 2006. "Foreign Exchange Risk Premium Determinants: Case of Armenia," William Davidson Institute Working Papers Series wp811, William Davidson Institute at the University of Michigan.
    21. Tigran Poghosyan & Evžen KoÄenda & Petr ZemÄik, 2008. "Modeling Foreign Exchange Risk Premium in Armenia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 44(1), pages 41-61, January.
    22. Elbourne, Adam & de Haan, Jakob, 2006. "Financial structure and monetary policy transmission in transition countries," Journal of Comparative Economics, Elsevier, vol. 34(1), pages 1-23, March.
    23. William T. Gavin & David M. Kemme, 2007. "Using extraneous information to analyze monetary policy in transition economies," Working Papers 2004-034, Federal Reserve Bank of St. Louis.
    24. Besnik Fetai, 2013. "Exchange Rate Pass-Through in Transition Economies: The Case of Republic of Macedonia," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 20(3), pages 309-324, November.
    25. Christina Anderl & Guglielmo Maria Caporale, 2022. "Nonlinearities in the Exchange Rate Pass-Through: The Role of Inflation Expectations," CESifo Working Paper Series 9544, CESifo.
    26. Bartosz Maćkowiak, 2006. "How Much of the Macroeconomic Variation in Eastern Europe is Attributable to External Shocks?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 48(3), pages 523-544, September.
    27. Juraj Valachy & Ev??en Ko?enda, 2003. "Exchange Rate Regimes and Volatility: Comparison of the Snake and Visegrad," William Davidson Institute Working Papers Series 2003-622, William Davidson Institute at the University of Michigan.
    28. Kowalski, Tadeusz & Kowalski, Pawel & Wihlborg, Clas, 2007. "Poland. The EMU entry strategy vs. the monetary issues," MPRA Paper 42599, University Library of Munich, Germany, revised 2007.
    29. Jamilov, Rustam, 2012. "Channels of Monetary Transmission in the CIS," MPRA Paper 39568, University Library of Munich, Germany.
    30. Ilhami Gunduz, 2021. "Stock market transmission channel of monetary policy: Empirical evidence from Turkey," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6421-6443, October.
    31. Mamoudou, Toure & Jamel, Trabelsi & Frédéric, Dufourt, 2009. "Empirical evaluation of nominal convergence in Czech Republic, Poland and Hungary (CPH)," Economic Modelling, Elsevier, vol. 26(5), pages 993-999, September.
    32. Cândida Ferreira, 2009. "The Credit Channel Transmission of Monetary Policy in the European Union," Working Papers Department of Economics 2009/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    33. Song, Nianfu & Chang, Sun Joseph & Aguilar, Francisco X., 2011. "U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations," Journal of Forest Economics, Elsevier, vol. 17(1), pages 19-33, January.
    34. Guna Raj Bhatta & Rabindra Nepal & Charles Harvie & Kankesu Jayanthakumaran, 2021. "Testing for uncovered interest parity conditions in a small open economy: A state space modelling approach," CAMA Working Papers 2021-56, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    35. Mikek, Peter, 2008. "Alternative monetary policies and fiscal regime in new EU members," Economic Systems, Elsevier, vol. 32(4), pages 335-353, December.
    36. Cândida Ferreira, 2009. "The European Credit Market and Institutions," Working Papers Department of Economics 2009/26, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    37. Reginaldo P. Nogueira Jnr, 2006. "Inflation Targeting, Exchange Rate Pass-Through and 'Fear of Floating'," Studies in Economics 0605, School of Economics, University of Kent.
    38. Lucjan T. Orlowski & Kirsten Lommatzsch, 2005. "Bond Yield Compression in the Countries Converging to the Euro," William Davidson Institute Working Papers Series wp799, William Davidson Institute at the University of Michigan.
    39. Orlowski, Lucjan T., 2008. "Relative inflation-forecast as monetary policy target for convergence to the euro," Journal of Policy Modeling, Elsevier, vol. 30(6), pages 1061-1081.
    40. POPESCU Iulian Vasile, 2013. "Monetary Policy Rules For European Monetary Union Acceding Countries," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 8(2), pages 108-122, August.
    41. Lucjan T. Orlowski, 2005. "Monetary Policy Adjustments on the Final Passage towards the Euro," CASE Network Studies and Analyses 0294, CASE-Center for Social and Economic Research.
    42. Carmen TODERASCU (SANDU), 2014. "The Influence Of Economic Conditions In Romania On The Relation Between Inflation And The Ron Exchange Rate," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 5(5), pages 221-228, June.
    43. Lucjan Orlowski & Krzyzstof Rybinski, 2005. "Implications of ERM2 for Poland???s Monetary Policy," William Davidson Institute Working Papers Series wp802, William Davidson Institute at the University of Michigan.
    44. Barlow, David, 2010. "How did structural reform influence inflation in transition economies?," Economic Systems, Elsevier, vol. 34(2), pages 198-210, June.
    45. Antoni, 2012. "Monetary policy and inflation targeting in a small open economy," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 4(2), pages 187-198, April.
    46. Xuan Vinh Vo & Phuc Canh Nguyen, 2017. "Monetary Policy Transmission in Vietnam: Evidence from a VAR Approach," Australian Economic Papers, Wiley Blackwell, vol. 56(1), pages 27-38, March.
    47. Slavov, Slavi T., 2008. "Measuring and modeling the effects of G-3 exchange rate fluctuations on small open economies: A natural experiment," Economic Systems, Elsevier, vol. 32(3), pages 253-273, September.
    48. Jimborean, Ramona, 2009. "The role of banks in the monetary policy transmission in the new EU member states," Economic Systems, Elsevier, vol. 33(4), pages 360-375, December.

  19. Roberto Golinelli & Renzo Orsi, 2002. "Modelling Inflation in EU Accession Countries: The Case of the Czech Republic, Hungary and Poland," Eastward Enlargement of the Euro-zone Working Papers wp09, Free University Berlin, Jean Monnet Centre of Excellence, revised 01 Aug 2002.

    Cited by:

    1. Tomás Slacík, 2008. "(How) Will the Euro Affect Inflation in the Czech Republic? A contribution to the current debate," FIW Working Paper series 018, FIW.
    2. Gaetano D’Adamo & Riccardo Rovelli, 2013. "The role of the Exchange Rate Regime in the process of Real and Nominal Convergence," Working Papers 1314, Department of Applied Economics II, Universidad de Valencia.
    3. Égert, Balázs, 2004. "Assessing equilibrium exchange rates in CEE acceding countries: can we have DEER with BEER without FEER? A critical survey of the literature," BOFIT Discussion Papers 1/2004, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. García Solanes José, 2008. "Real Exchange Rate Appreciation in Central and Eastern European Countries. Why the Balassa-Samuelson Effect Does Not Explain the Whole Story," Working Papers 2010100, Fundacion BBVA / BBVA Foundation.
    5. Vesna Karadzic & Bojan Pejovic, 2021. "Inflation Forecasting in the Western Balkans and EU: A Comparison of Holt-Winters, ARIMA and NNAR Models," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(57), pages 517-517.
    6. Todorov Ivan Krumov, 2014. "Macroeconomic Trends in the New Member Countries of the European Union Before the Euro Area Debt Crisis," Scientific Annals of Economics and Business, Sciendo, vol. 61(2), pages 197-217, December.
    7. Martina Alexová, 2012. "What determines inflation?," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 5(4), pages 345-369.
    8. Balázs Égert & László Halpern & Ronald MacDonald, 2006. "Equilibrium Exchange Rates in Transition Economies: Taking Stock of the Issues," Journal of Economic Surveys, Wiley Blackwell, vol. 20(2), pages 257-324, April.
    9. Gaetano D’Adamo, 2014. "Wage spillovers across sectors in Eastern Europe," Empirical Economics, Springer, vol. 47(2), pages 523-552, September.
    10. Balázs Égert, 2005. "Balassa-Samuelson Meets South Eastern Europe, the CIS and Turkey: A Close Encounter of the Third Kind?," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 2(2), pages 221-243, December.
    11. Dubravko Mihaljek & Marc Klau, 2008. "Catching-up and inflation in transition economies: the Balassa-Samuelson effect revisited," BIS Working Papers 270, Bank for International Settlements.
    12. Masso, Jaan & Staehr, Karsten, 2005. "Inflation dynamics and nominal adjustment in the Baltic States," Research in International Business and Finance, Elsevier, vol. 19(2), pages 281-303, June.
    13. Ionuţ Cristian BACIU, 2014. "The Relationship Between Inflation And The Main Macroeconomic Variables In Romania," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 4, pages 161-172, November.
    14. Ranjith Bandara, 2011. "The Determinants of Inflation in Sri Lanka," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 12(2), pages 271-286, September.
    15. Balázs Égert, 2005. "The Balassa‐Samuelson Hypothesis in Estonia: Oil Shale, Tradable Goods, Regulated Prices and Other Culprits," The World Economy, Wiley Blackwell, vol. 28(2), pages 259-286, February.
    16. Vugar Rahimov & Shaig Adigozalov & Fuad Mammadov, 2016. "Determinants of Inflation in Azerbaijan," Working Papers 1607, Central Bank of Azerbaijan Republic.
    17. Fakhri, Hasanov & Khudayar, Hasanli, 2011. "Why had the Money Market Approach been irrelevant in explaining inflation in Azerbaijan during the rapid economic growth period?," MPRA Paper 29559, University Library of Munich, Germany.
    18. Piotr Białowolski, 2011. "Forecasting inflation with consumer survey data – application of multi-group confirmatory factor analysis to elimination of the general sentiment factor," NBP Working Papers 100, Narodowy Bank Polski.
    19. Antonin Rusek, 2008. "Inflation Dynamics in New EU Member States: The Czech Case," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(2), pages 191-204, May.
    20. Fabrizio Iacone & Renzo Orsi, 2002. "Exchange Rate Management and Inflation Targeting in the CEE Accession Countries," Eastward Enlargement of the Euro-zone Working Papers wp08, Free University Berlin, Jean Monnet Centre of Excellence, revised 01 Aug 2002.

  20. Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Stylianos Asimakopoulos & Joan Paredes & Thomas Warmedinger, 2020. "Real‐Time Fiscal Forecasting Using Mixed‐Frequency Data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(1), pages 369-390, January.
    2. Doll, Jens & Rosenthal, Beatrice & Volkenand, Jonas & Hamella, Sandra, 2017. "Nowcasting des deutschen BIP," Weidener Diskussionspapiere 59, University of Applied Sciences Amberg-Weiden (OTH).
    3. Warmedinger, Thomas & Paredes, Joan & Asimakopoulos, Stylianos, 2013. "Forecasting fiscal time series using mixed frequency data," Working Paper Series 1550, European Central Bank.
    4. Paulo Esteves, 2011. "Direct vs bottom-up approach when forecasting GDP: reconciling literature results with institutional practice," Working Papers w201129, Banco de Portugal, Economics and Research Department.
    5. ATTAR, Andrea & CAMPIONI, Eloisa, 2003. "Costly state verification and debt contracts: a critical resume," LIDAM Reprints CORE 1712, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Bruno Giancarlo & Lupi Claudio, 2003. "Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data," ISAE Working Papers 33, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    7. Oliver Hülsewig & Johannes Mayr & Stéphane Sorbe, 2007. "Assessing the Forecast Properties of the CESifo World Economic Climate Indicator: Evidence for the Euro Area," ifo Working Paper Series 46, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Paolo Angelini & Paolo Del Giovane & Stefano Siviero & Daniele Terlizzese, 2002. "Monetary Policy Rules for the Euro Area: What Role for National Information?," Temi di discussione (Economic working papers) 457, Bank of Italy, Economic Research and International Relations Area.
    9. Rünstler, Gerhard & Sédillot, Franck, 2003. "Short-term estimates of euro area real GDP by means of monthly data," Working Paper Series 276, European Central Bank.
    10. Emilia Bonaccorsi di Patti & Giorgio Gobbi, 2003. "The effects of bank mergers on credit availability: evidence from corporate data," Temi di discussione (Economic working papers) 479, Bank of Italy, Economic Research and International Relations Area.
    11. Giacomo Sbrana, 2007. "Testing for Model Selection in Predicting Aggregate Variables," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(1), pages 3-28, March.

  21. R. Golinelli & R. Orsi, 2001. "Hungary and Poland," Working Papers 424, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Tomás Slacík, 2008. "(How) Will the Euro Affect Inflation in the Czech Republic? A contribution to the current debate," FIW Working Paper series 018, FIW.
    2. Bofinger, Peter & Wollmershäuser, Timo, 2000. "Options For The Exchange Rate Policies Of The EU Accession Countries (And Other Emerging Market Economies)," CEPR Discussion Papers 2379, C.E.P.R. Discussion Papers.
    3. Gaetano D’Adamo & Riccardo Rovelli, 2013. "The role of the Exchange Rate Regime in the process of Real and Nominal Convergence," Working Papers 1314, Department of Applied Economics II, Universidad de Valencia.
    4. Koskinen, Juha-Pekka & Koivu, Tuuli & Chowdhury, Abdur, 2004. "Selecting inflation indicators under an inflation targeting regime: evidence from the MCL method," BOFIT Discussion Papers 16/2004, Bank of Finland Institute for Emerging Economies (BOFIT).
    5. Sandrine Levasseur, 2004. "Why not euroisation?," Post-Print hal-01020073, HAL.
    6. García Solanes José, 2008. "Real Exchange Rate Appreciation in Central and Eastern European Countries. Why the Balassa-Samuelson Effect Does Not Explain the Whole Story," Working Papers 2010100, Fundacion BBVA / BBVA Foundation.
    7. Dmitri Boreiko, 2003. "EMU and accession countries: Fuzzy cluster analysis of membership," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(4), pages 309-325.
    8. Balazs Egert, 2007. "Real Convergence, Price Level Convergence and Inflation Differentials in Europe," William Davidson Institute Working Papers Series wp895, William Davidson Institute at the University of Michigan.
    9. Martina Alexová, 2012. "What determines inflation?," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 5(4), pages 345-369.
    10. Balázs Égert & László Halpern & Ronald MacDonald, 2006. "Equilibrium Exchange Rates in Transition Economies: Taking Stock of the Issues," Journal of Economic Surveys, Wiley Blackwell, vol. 20(2), pages 257-324, April.
    11. Gaetano D’Adamo, 2014. "Wage spillovers across sectors in Eastern Europe," Empirical Economics, Springer, vol. 47(2), pages 523-552, September.
    12. José García Solanes & Fernando Torrejón Flores, 2005. "Testing the BalassA-Samuelson hypothesis in two different groups of countries: OECD and Latin America," Working Papers 05-02, Asociación Española de Economía y Finanzas Internacionales.
    13. Reimers, Hans-Eggert & Roffia, Barbara & Dreger, Christian, 2006. "Long-run money demand in the new EU Member States with exchange rate effects," Working Paper Series 628, European Central Bank.
    14. Vladislav Flek & Lenka Markova & Jiri Podpiera, 2002. "Sectoral Productivity and Real Exchange Rate Appreciation: Much Ado about Nothing?," Working Papers 2002/04, Czech National Bank.
    15. Eichengreen, Barry & Steiner, Katharina, 2008. "Is Poland at Risk of a Boom-and-Bust Cycle in the Run-Up to Euro Adoption?," CEPR Discussion Papers 7027, C.E.P.R. Discussion Papers.
    16. Dubravko Mihaljek & Marc Klau, 2008. "Catching-up and inflation in transition economies: the Balassa-Samuelson effect revisited," BIS Working Papers 270, Bank for International Settlements.
    17. Kovačić, Zlatko, 2007. "Forecasting volatility: Evidence from the Macedonian stock exchange," MPRA Paper 5319, University Library of Munich, Germany.
    18. Guidi, Francesco & Gupta, Rakesh & Maheshwari, Suneel, 2011. "Weak-form market efficiency and calendar anomalies for Eastern Europe equity markets," Greenwich Papers in Political Economy 7275, University of Greenwich, Greenwich Political Economy Research Centre.
    19. Paweł Strawiński & Robert Ślepaczuk, 2008. "Analysis of HF data on the WSE in the context of EMH," Working Papers 2008-08, Faculty of Economic Sciences, University of Warsaw.
    20. Ferda HALICIOGLU & Mehmet UGUR, 2005. "On Stability of the Demand for Money in a Developing OECD," Macroeconomics 0508001, University Library of Munich, Germany.
    21. Michaël GOUJON & Sylviane GUILLAUMONT JEANNENEY & Christopher ADAM, 2002. "Currency substitution and the transactions demand for money in Vietnam," Working Papers 200228, CERDI.
    22. Balázs Égert & Rafañ Kierzenkowski & Rafañ Kierzenkowski & Rafañ Kierzenkowski, 2005. "Asymmetric Fluctuation Bands in the ERM and ERM II : Lessons and Challenges for New EU Member States of Central and Eastern Europe," Eastern European Economics, Taylor & Francis Journals, vol. 43(1), pages 82-115, January.
    23. Ranjith Bandara, 2011. "The Determinants of Inflation in Sri Lanka," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 12(2), pages 271-286, September.
    24. Amir Kia, 2006. "Economic policies and demand for money: evidence from Canada," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1389-1407.
    25. B. T. Ewing & M. J. Piette & J. E. Payne, 2004. "Correction," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 71(3), pages 557-557, September.
    26. Boriss Siliverstovs, 2008. "Dynamic modelling of the demand for money in Latvia," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 8(1), pages 53-74, October.
    27. Wolfgang Gerstenberger & Beate Henschel & Herbert Hofmann & Carsten Pohl & Heinz Schmalholz & Carola Boede & Michaela Fuchs & Martin Werding, 2004. "Auswirkungen der EU-Osterweiterung auf Wirtschaft und Arbeitsmarkt in Sachsen," ifo Dresden Studien, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 35.
    28. Boriss Siliverstovs, 2007. "Money Demand in Estonia," Discussion Papers of DIW Berlin 675, DIW Berlin, German Institute for Economic Research.
    29. Balázs Égert, 2005. "The Balassa‐Samuelson Hypothesis in Estonia: Oil Shale, Tradable Goods, Regulated Prices and Other Culprits," The World Economy, Wiley Blackwell, vol. 28(2), pages 259-286, February.
    30. Vugar Rahimov & Shaig Adigozalov & Fuad Mammadov, 2016. "Determinants of Inflation in Azerbaijan," Working Papers 1607, Central Bank of Azerbaijan Republic.
    31. Maruška Vizek & Tanja Broz, 2007. "Modelling Inflation in Croatia," Working Papers 0703, The Institute of Economics, Zagreb.
    32. Raghbendra Jha, 2008. "Inflation targeting in India: issues and prospects," International Review of Applied Economics, Taylor & Francis Journals, vol. 22(2), pages 259-270.
    33. Rosa, Franco & Sanchez Garcia, Mercedes & Barrena Figueroa, Ramo, 2006. "Trust in Label Information to Recuperate Consumer's Confidence for Meat: A Compared Analysis among Canada, Italy, and Spain," 99th Seminar, February 8-10, 2006, Bonn, Germany 7744, European Association of Agricultural Economists.
    34. Piotr Białowolski, 2011. "Forecasting inflation with consumer survey data – application of multi-group confirmatory factor analysis to elimination of the general sentiment factor," NBP Working Papers 100, Narodowy Bank Polski.
    35. Antonin Rusek, 2008. "Inflation Dynamics in New EU Member States: The Czech Case," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(2), pages 191-204, May.
    36. Dibooglu, Selahattin & Kutan, Ali M., 2001. "Sources of inflation and output fluctuations in Poland and Hungary: Implications for full membership in the European Union," ZEI Working Papers B 16-2001, University of Bonn, ZEI - Center for European Integration Studies.
    37. Fidrmuc, Jarko, 2006. "Money Demand and Disinflation in Selected CEECs during the Accession to the EU," Discussion Papers in Economics 1232, University of Munich, Department of Economics.
    38. Lena Malesevic-Perovic, 2009. "Cointegration Approach to Analysing Inflation in Croatia," Financial Theory and Practice, Institute of Public Finance, vol. 33(2), pages 201-218.
    39. Fabrizio Iacone & Renzo Orsi, 2002. "Exchange Rate Management and Inflation Targeting in the CEE Accession Countries," Eastward Enlargement of the Euro-zone Working Papers wp08, Free University Berlin, Jean Monnet Centre of Excellence, revised 01 Aug 2002.

  22. M. E. Bontempi & R. Golinelli, 2001. "Is financial leverage mean-reverting? Unit root tests and corporate financing models," Working Papers 422, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Arturo Capasso & Carmen Gallucci & Matteo Rossi, 2015. "Standing the test of time. Does firm performance improve with age? An analysis of the wine industry," Business History, Taylor & Francis Journals, vol. 57(7), pages 1037-1053, October.
    2. Ajid ur Rehman & Man Wang & Haoyang Yu, 2016. "Dynamics of financial leverage across firm life cycle in Chinese firms: an empirical investigation using dynamic panel data model," China Finance and Economic Review, Springer, vol. 4(1), pages 1-22, December.
    3. Giorgio Canarella & Mahmoud Nourayi & Michael J. Sullivan, 2014. "An alternative test of the trade-off theory of capital structure," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(4), December.
    4. Tanveer Ahsan & Muhammad Azeem Qureshi, 2017. "The impact of financial liberalization on capital structure adjustment in Pakistan: a doubly censored modelling," Applied Economics, Taylor & Francis Journals, vol. 49(41), pages 4148-4160, September.
    5. Roberto Golinelli & Sergio Pastorello, 2002. "Modelling the demand for M3 in the Euro area," The European Journal of Finance, Taylor & Francis Journals, vol. 8(4), pages 371-401.

  23. Giorgio Bodo & Roberto Golinelli & Giuseppe Parigi, 2000. "Forecasting Industrial Production in the Euro Area," Temi di discussione (Economic working papers) 370, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Robert Lehmann, 2016. "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
    2. Bruno Giancarlo & Lupi Claudio, 2001. "Forecasting Industrial Production and the Early Detection of Turning POints," ISAE Working Papers 20, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    3. Marcin Olkiewicz, 2022. "The Impact of Economic Indicators on the Evolution of Business Confidence during the COVID-19 Pandemic Period," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    4. Hwee Kwan Chow & Keen Meng Choy, 2004. "Forecasting the Global Electronics Cycle with Leading Indicators: A VAR Approach," Working Papers 16-2004, Singapore Management University, School of Economics.
    5. Bob McNabb & Karl Taylor, 2002. "Business Cycles and the Role of Confidence: Evidence from Europe," Discussion Papers in Economics 02/3, Division of Economics, School of Business, University of Leicester.
    6. Gabriel Caldas Montes & André Almeida, 2017. "Corruption and business confidence: a panel data analysis," Economics Bulletin, AccessEcon, vol. 37(4), pages 2692-2702.
    7. Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research and International Relations Area.
    8. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    9. Anna Sophia Ciesielski & Klaus Wohlrabe, 2011. "Sector-based Forecasts in Manufacturing," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(22), pages 27-35, November.
    10. 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.
    11. H. Banikhalid & S. Al-oshaibat, 2023. "Using the Financial Analysis Approach to Forecast Industrial Production: A Guide from Jordan," International Journal of Business and Management, Canadian Center of Science and Education, vol. 16(5), pages 1-91, February.
    12. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    13. Panagiotis Konstantinou & Athanasios Tagkalakis, 2010. "Boosting confidence: is there a role for fiscal policy?," Working Papers 113, Bank of Greece.
    14. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting industrial production: the role of information and methods," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 227-235, Bank for International Settlements.
    15. Galdi, Giulio & Casarin, Roberto & Ferrari, Davide & Fezzi, Carlo & Ravazzolo, Francesco, 2023. "Nowcasting industrial production using linear and non-linear models of electricity demand," Energy Economics, Elsevier, vol. 126(C).
    16. André Filipe Guedes Almeida & Gabriel Caldas Montes, 2020. "Effects of crime and violence on business confidence: evidence from Rio de Janeiro," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(7), pages 1669-1688, May.
    17. Carluccio Bianchi & Alessandro Carta & Dean Fantazzini & Maria Elena De Giuli & Mario A. Maggi, 2009. "A Copula-VAR-X Approach for Industrial Production Modelling and Forecasting," Quaderni di Dipartimento 105, University of Pavia, Department of Economics and Quantitative Methods.
    18. Chow, Hwee Kwan & Choy, Keen Meng, 2006. "Forecasting the global electronics cycle with leading indicators: A Bayesian VAR approach," International Journal of Forecasting, Elsevier, vol. 22(2), pages 301-315.
    19. 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.
    20. Helder Ferreira Mendonça & André Filipe Guedes Almeida, 2019. "Importance of credibility for business confidence: evidence from an emerging economy," Empirical Economics, Springer, vol. 57(6), pages 1979-1996, December.
    21. Enrico D’Elia & Francesca Faedda & Giacomo Giannone, 2020. "Un modello statistico per il monitoraggio delle entrate tributarie (MoME)," Working Papers wp2020-5, Ministry of Economy and Finance, Department of Finance.
    22. Kevin Moran & Simplice Aime Nono, 2016. "Using Confidence Data to Forecast the Canadian Business Cycle," Cahiers de recherche 1606, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    23. Claveria, Oscar & Pons, Ernest & Ramos, Raul, 2007. "Business and consumer expectations and macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 47-69.
    24. Bruno Giancarlo & Lupi Claudio, 2003. "Forecasting Euro-Area Industrial Production Using (Mostly) Business Surveys Data," ISAE Working Papers 33, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    25. Marcin Olkiewicz, 2023. "Overview of Activities in the Field of Occupational Health and Safety during the COVID-19 Period Taken by Polish SMEs," IJERPH, MDPI, vol. 20(9), pages 1-11, April.
    26. Carstensen Kai & Wohlrabe Klaus & Ziegler Christina, 2011. "Predictive Ability of Business Cycle Indicators under Test: A Case Study for the Euro Area Industrial Production," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 82-106, February.
    27. Lehmann Robert & Wohlrabe Klaus, 2015. "Forecasting GDP at the Regional Level with Many Predictors," German Economic Review, De Gruyter, vol. 16(2), pages 226-254, May.
    28. Lim, King Yoong & Morris, Diego, 2023. "Business optimism and the innovation-profitability nexus: Introducing the COVID-19 adaptable capacity framework," Research Policy, Elsevier, vol. 52(1).
    29. Bilge Pekçaglayan, 2021. "Determinants of Industrial Production in Turkey: ARDL Model," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 71(71-2), pages 435-456, December.
    30. Osterloh, Steffen, 2018. "How do politics affect economic sentiment? The effects of uncertainty and policy preferences," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181614, Verein für Socialpolitik / German Economic Association.
    31. Kevin Moran & Simplice Aimé Nono & Imad Rherrad, 2018. "Forecasting with Many Predictors: How Useful are National and International Confidence Data?," Cahiers de recherche 1814, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    32. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting monthly industrial production in real-time: from single equations to factor-based models," Empirical Economics, Springer, vol. 39(2), pages 303-336, October.
    33. Ece Oral & Dilara Ece & Turknur Hamsici, 2005. "Building Up a Real Sector Business Confidence Index for Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 5(1), pages 23-54.
    34. Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.
    35. Rünstler, Gerhard & Sédillot, Franck, 2003. "Short-term estimates of euro area real GDP by means of monthly data," Working Paper Series 276, European Central Bank.
    36. Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.

  24. R. Golinelli & R. Orsi, 1998. "Testing for Structural Change in Cointegrated Relationships. Analysis of price-wages models for Poland and Hungary," Working Papers 324, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Vesna BUCEVSKA, 2010. "A Macroeconometric Model for the Republic of Macedonia," EcoMod2004 330600030, EcoMod.
    2. Erjavec, Natasa, 2003. "Applied macroeconometrics in transition economy: Croatian experience," LSE Research Online Documents on Economics 23444, London School of Economics and Political Science, LSE Library.

  25. R. Golinelli, 1998. "Fatti stilizzati e metodi econometrici "Moderni": una rivalutazione della Curva di Phillips per l'Italia (1951-1996)," Working Papers 313, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Francesco Pastore, 2010. "Assessing the impact of incomes policy: the Italian experience," International Journal of Manpower, Emerald Group Publishing Limited, vol. 31(7), pages 793-817, October.
    2. Fabio Bacchini & Cristina Brandimarte & Piero Crivelli & Roberta De Santis & Marco Fioramanti & Alessandro Girardi & Roberto Golinelli & Cecilia Jona-Lasinio & Massimo Mancini & Carmine Pappalardo & D, 2013. "Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 17-45.

  26. R. Golinelli & R. Orsi, 1996. "Exchange rate Inflation and Unemployment in East European Economies: the Case of Poland and Hungary," Working Papers 265, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Vesna BUCEVSKA, 2010. "A Macroeconometric Model for the Republic of Macedonia," EcoMod2004 330600030, EcoMod.
    2. Tihomir Enev & Kenneth Koford, 2000. "The Effect of Incomes Policies on Inflation in Bulgaria and Poland," Economic Change and Restructuring, Springer, vol. 33(3), pages 141-169, October.
    3. Jesús Crespo Cuaresma & Jaroslava Hlouskova, 2005. "Beating the random walk in Central and Eastern Europe," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(3), pages 189-201.
    4. Erjavec, Natasa, 2003. "Applied macroeconometrics in transition economy: Croatian experience," LSE Research Online Documents on Economics 23444, London School of Economics and Political Science, LSE Library.
    5. Marcellino, Massimiliano & Mizon, Grayham E., 2000. "Modelling shifts in the wage-price and unemployment-inflation relationships in Italy, Poland and the UK," Economic Modelling, Elsevier, vol. 17(3), pages 387-413, August.

  27. R. Golinelli, 1996. "Modellazione Econometrica per la previsione congiunturale: un esercizio su produzione, prezzi e moneta," Working Papers 246, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Rapacciuolo, Ciro, 2003. "Un semplice modello univariato per la previsione a breve termine dell'inflazione italiana [A simple model for the short term forecasting of Italian inflation]," MPRA Paper 7714, University Library of Munich, Germany.

  28. R. Golinelli & R. Orsi, 1994. "Price-Wage Dynamics is A Transition Economy: The Case of Poland," Working Papers 192, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Marek Dabrowski, 1999. "Disinflation, Monetary Policy and Fiscal Constraints. Experience of the Countries in Transition," CASE Network Reports 0016, CASE-Center for Social and Economic Research.
    2. Marcellino, Massimiliano & Mizon, Grayham E., 2000. "Modelling shifts in the wage-price and unemployment-inflation relationships in Italy, Poland and the UK," Economic Modelling, Elsevier, vol. 17(3), pages 387-413, August.

Articles

  1. Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.

    Cited by:

    1. Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
    2. Abiad, Abdul & Qureshi, Irfan A., 2023. "The macroeconomic effects of oil price uncertainty," Energy Economics, Elsevier, vol. 125(C).
    3. Bhanu Pratap & Nalin Priyaranjan, 2023. "Macroeconomic effects of uncertainty: a Google trends-based analysis for India," Empirical Economics, Springer, vol. 65(4), pages 1599-1625, October.
    4. Michele Costola & Michael Donadelli & Luca Gerotto & Ivan Gufler, 2022. "Global risks, the macroeconomy, and asset prices," Empirical Economics, Springer, vol. 63(5), pages 2357-2388, November.
    5. Maria Elena Bontempi & Jan Ditzen, 2023. "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers 2312.00399, arXiv.org, revised Dec 2023.
    6. Gonzalez, Felipe & Coy, Felipe & Prem, Mounu & von Dessauer, Cristine, 2022. "Uncertainty from dictatorship to democracy: Evidence from business communications," SocArXiv gz934, Center for Open Science.

  2. Bontempi, Maria Elena & Bottazzi, Laura & Golinelli, Roberto, 2020. "A multilevel index of heterogeneous short-term and long-term debt dynamics," Journal of Corporate Finance, Elsevier, vol. 64(C).

    Cited by:

    1. Enzo Dia & Marco Rispoli, 2022. "Investment, Implicit Debt Targets and Debt Maturity," CRANEC - Working Papers del Centro di Ricerche in Analisi economica e sviluppo economico internazionale crn2204, Università Cattolica del Sacro Cuore, Centro di Ricerche in Analisi economica e sviluppo economico internazionale (CRANEC).
    2. Mari-Isabella Stan & Dragos-Florian Vintila, 2021. "Can the Degree of Indebtedness of the Economic Agents Operating in the Construction Sector in Constanta County Influence the Development of the Coastal Area ?," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 163-170, August.

  3. Fabio Bacchini & Maria Elena Bontempi & Roberto Golinelli & Cecilia Jona-Lasinio, 2018. "Short- and long-run heterogeneous investment dynamics," Empirical Economics, Springer, vol. 54(2), pages 343-378, March.

    Cited by:

    1. Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2018. "Firms’ and households’ investment in Italy: the role of credit constraints and other macro factors," Temi di discussione (Economic working papers) 1167, Bank of Italy, Economic Research and International Relations Area.
    2. Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2021. "Forecasting corporate capital accumulation in Italy: the role of survey-based information," Questioni di Economia e Finanza (Occasional Papers) 596, Bank of Italy, Economic Research and International Relations Area.
    3. Nakatani, Ryota, 2023. "Food Companies’ Productivity Dynamics: Exploring the Role of Intangible Assets," MPRA Paper 117868, University Library of Munich, Germany.

  4. Alessandro Girardi & Roberto Golinelli & Carmine Pappalardo, 2017. "The role of indicator selection in nowcasting euro-area GDP in pseudo-real time," Empirical Economics, Springer, vol. 53(1), pages 79-99, August.
    See citations under working paper version above.
  5. Baffigi, Alberto & Bontempi, Maria Elena & Felice, Emanuele & Golinelli, Roberto, 2015. "The changing relationship between inflation and the economic cycle in Italy: 1861–2012," Explorations in Economic History, Elsevier, vol. 56(C), pages 53-70.

    Cited by:

    1. Emanuele Felice, 2019. "Rethinking the take-off: the role of services in the new economic history of Italy (1861–1951)," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 13(3), pages 405-442, September.

  6. Golinelli, Roberto & Parigi, Giuseppe, 2014. "Tracking world trade and GDP in real time," International Journal of Forecasting, Elsevier, vol. 30(4), pages 847-862.
    See citations under working paper version above.
  7. Magda Bianco & Maria Bontempi & Roberto Golinelli & Giuseppe Parigi, 2013. "Family firms’ investments, uncertainty and opacity," Small Business Economics, Springer, vol. 40(4), pages 1035-1058, May.

    Cited by:

    1. Vivek Ghosal & Yang Ye, 2015. "Uncertainty and the employment dynamics of small and large businesses," Small Business Economics, Springer, vol. 44(3), pages 529-558, March.
    2. Fabio Bacchini & Maria Elena Bontempi & Roberto Golinelli & Cecilia Jona-Lasinio, 2014. "ICT and Non-ICT investments: short and long run macro dynamics," Working Papers LuissLab 14113, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    3. Worek, Maija & De Massis, Alfredo & Wright, Mike & Veider, Viktoria, 2018. "Acquisitions, disclosed goals and firm characteristics: A content analysis of family and nonfamily firms," Journal of Family Business Strategy, Elsevier, vol. 9(4), pages 250-267.
    4. Marco Cucculelli & Lidia Mannarino & Valeria Pupo & Fernanda Ricotta, 2014. "Owner-management, firm age and productivity in Italian family firms," Mo.Fi.R. Working Papers 99, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    5. Giovanni Ferri & Pierluigi Murro, 2016. "A Credit Crunch Behind the Great Trade Collapse? Micro Evidence From Europe," CERBE Working Papers wpC10, CERBE Center for Relationship Banking and Economics.
    6. Patel, Pankaj C. & Kim, Kyoung Yong & Devaraj, Srikant & Li, Mingxiang, 2018. "Family Ties that B(l)ind: Do Family-Owned Franchisees Have Lower Financial Performance than Nonfamily-Owned Franchisees?," Journal of Retailing, Elsevier, vol. 94(2), pages 231-245.
    7. Giovanni Ferri & Raoul Minetti & Pierluigi Murro, 2018. "Credit Relationships in the Great Trade Collapse. Micro Evidence From Europe," CERBE Working Papers wpC26, CERBE Center for Relationship Banking and Economics.
    8. Tommaso Pucci & Mara Brumana & Tommaso Minola & Lorenzo Zanni, 2020. "Social capital and innovation in a life science cluster: the role of proximity and family involvement," The Journal of Technology Transfer, Springer, vol. 45(1), pages 205-227, February.
    9. David Hillier & Beatriz Martínez & Pankaj C. Patel & Julio Pindado & Ignacio Requejo, 2018. "Pound of Flesh? Debt Contract Strictness and Family Firms," Entrepreneurship Theory and Practice, , vol. 42(2), pages 259-282, March.
    10. Schulte, Reinhard, 2018. "New venture investing trajectories: A large scale longitudinal study," Lüneburger Beiträge zur Gründungsforschung 13, Leuphana University of Lüneburg, Department of Entrepreneurship & Start-up Management.
    11. Patricio Duran & Nadine Kammerlander & Marc van Essen & Thomas Zellweger, 2016. "Doing More with Less : Innovation Input and Output in Family Firms," Post-Print hal-02276703, HAL.
    12. Marco Pini, 2019. "Family management and Industry 4.0: Different effects in different geographical areas? An analysis of the less developed regions in Italy," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 15(3), pages 73-102.
    13. Klaus Abberger & Andreas Dibiasi & Michael Siegenthaler & Jan-Egbert Sturm, 2016. "The Effect of Policy Uncertainty on Investment Plans: Evidence from the Unexpected Acceptance of a Far-Reaching Referendum in Switzerland," CESifo Working Paper Series 5887, CESifo.
    14. Ferri, Giovanni & Murro, Pierluigi & Pini, Marco, 2020. "Credit rationing and the relationship between family businesses and banks in Italy," Global Finance Journal, Elsevier, vol. 43(C).
    15. Emanuele Brancati & Raffaele Brancati & Dario Guarascio & Andrea Maresca & Manuel Romagnoli & Antonello Zanfei, 2018. "Firm-level Drivers of Export Performance and External Competitiveness in Italy," European Economy - Discussion Papers 087, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    16. Arrondo-García, Rubén & Fernández-Méndez, Carlos & Menéndez-Requejo, Susana, 2016. "The growth and performance of family businesses during the global financial crisis: The role of the generation in control," Journal of Family Business Strategy, Elsevier, vol. 7(4), pages 227-237.
    17. A. Arrighetti & F. Landini & L. Caricati & N. Monacelli, 2013. "Explaining entrepreneurial orientation among university students: evidence from Italy," Economics Department Working Papers 2013-EP04, Department of Economics, Parma University (Italy).
    18. Binding, Garret & Dibiasi, Andreas, 2017. "Exchange rate uncertainty and firm investment plans evidence from Swiss survey data," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 1-27.
    19. Kang, Wensheng & Lee, Kiseok & Ratti, Ronald A., 2014. "Economic policy uncertainty and firm-level investment," Journal of Macroeconomics, Elsevier, vol. 39(PA), pages 42-53.
    20. Evert, Robert E. & Sears, Joshua B. & Martin, John A. & Payne, G. Tyge, 2018. "Family ownership and family involvement as antecedents of strategic action: A longitudinal study of initial international entry," Journal of Business Research, Elsevier, vol. 84(C), pages 301-311.
    21. Matteo Bugamelli & Francesca Lotti & Monica Amici & Emanuela Ciapanna & Fabrizio Colonna & Francesco D�Amuri & Silvia Giacomelli & Andrea Linarello & Francesco Manaresi & Giuliana Palumbo & Filippo , 2018. "Productivity growth in Italy: a tale of a slow-motion change," Questioni di Economia e Finanza (Occasional Papers) 422, Bank of Italy, Economic Research and International Relations Area.
    22. Lo, Huai-Chun & Ting, Irene Wei Kiong & Kweh, Qian Long & Yang, Ming Jing, 2016. "Nonlinear association between ownership concentration and leverage: The role of family control," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 113-123.
    23. Vivek Ghosal & Yang Ye, 2013. "Business Decision-Making under Uncertainty: Evidence from Employment and Number of Businesses," CESifo Working Paper Series 4312, CESifo.
    24. Maria Elena Bontempi, 2016. "Investment--uncertainty relationship: differences between intangible and physical capital," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 25(3), pages 240-268, April.
    25. Daniel Dejuán & Corinna Ghirelli, 2018. "Policy uncertainty and investment in Spain," Working Papers 1848, Banco de España.
    26. Silvia Bacci & Alessandro Cirillo & Donata Mussolino & Simone Terzani, 2018. "The influence of family ownership dispersion on debt level in privately held firms," Small Business Economics, Springer, vol. 51(3), pages 557-576, October.
    27. Klaus Abberger & Andreas Dibiasi & Michael Siegenthaler & Jan-Egbert Sturm, 2016. "The Effect of Policy Uncertainty on Investment Plans," KOF Working papers 16-406, KOF Swiss Economic Institute, ETH Zurich.
    28. Marco Cucculelli & Ivano Dileo & Marco Pini, 2022. "Filling the void of family leadership: institutional support to business model changes in the Italian Industry 4.0 experience," The Journal of Technology Transfer, Springer, vol. 47(1), pages 213-241, February.
    29. Andreas Kallmuenzer & Andreas Strobl & Mike Peters, 2018. "Tweaking the entrepreneurial orientation–performance relationship in family firms: the effect of control mechanisms and family-related goals," Review of Managerial Science, Springer, vol. 12(4), pages 855-883, October.
    30. Brancati, Emanuele & Brancati, Raffaele & Guarascio, Dario & Zanfei, Antonello, 2020. "In Times of Trouble: Innovative Drivers of External Competitiveness for Small Businesses during the Great Recession," GLO Discussion Paper Series 639, Global Labor Organization (GLO).

  8. Fabio Bacchini & Cristina Brandimarte & Piero Crivelli & Roberta De Santis & Marco Fioramanti & Alessandro Girardi & Roberto Golinelli & Cecilia Jona-Lasinio & Massimo Mancini & Carmine Pappalardo & D, 2013. "Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 17-45.

    Cited by:

    1. Alberto Bagnai & Christian Alexander Mongeau Ospina, 2014. "The a/simmetrie annual macroeconometric model of the Italian economy: structure and properties," a/ Working Papers Series 1405, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    2. Ilenia Romani & Marzio Galeotti & Alessandro Lanza, 2022. "Besides promising economic growth, will the Italian NRRP also produce fewer emissions?," Working Papers 2022.08, Fondazione Eni Enrico Mattei.
    3. Fabio Bacchini & Maria Elena Bontempi & Roberto Golinelli & Cecilia Jona-Lasinio, 2014. "ICT and Non-ICT investments: short and long run macro dynamics," Working Papers LuissLab 14113, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    4. Fabio Bacchini & Maria Elena Bontempi & Roberto Golinelli & Cecilia Jona-Lasinio, 2018. "Short- and long-run heterogeneous investment dynamics," Empirical Economics, Springer, vol. 54(2), pages 343-378, March.
    5. Bagnai, Alberto & Granville, Brigitte & Mongeau Ospina, Christian A., 2017. "Withdrawal of Italy from the euro area: Stochastic simulations of a structural macroeconometric model," Economic Modelling, Elsevier, vol. 64(C), pages 524-538.
    6. Samvel S. Lazaryan & Evgenii V. Mayorov, 2018. "Prospects for the Use of DSGE Models by Finance Ministries: The Experience of Global Regulators," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 5, pages 70-82, October.
    7. Hjelm, Göran & Bornevall, Helena & Fromlet, Pia & Nilsson, Jonny & Stockhammar , Pär & Wiberg, Magnus, 2015. "Appropriate Macroeconomic Model Support for the Ministry of Finance and the National Institute of Economic Research: A Pilot Study," Working Papers 137, National Institute of Economic Research.
    8. Romani, Ilenia & Galeotti, Marzio & Lanza, Alessandro, 2022. "Besides promising economic growth, will the Italian NRRP also produce fewer emissions?," FEEM Working Papers 319781, Fondazione Eni Enrico Mattei (FEEM).
    9. Francesco Zezza & Gennaro Zezza, 2020. "A Stock-Flow Consistent Quarterly Model of the Italian Economy," Economics Working Paper Archive wp_958, Levy Economics Institute.
    10. Fabio Bacchini, Maria Elena Bontempi, Cristina Brandimarte, Roberto Golinelli, Cecilia Jona-Lasinio, Carmine Pappalardo, 2013. "The Macroeconometric Models For Italy (Memo-It): Policy Evaluation And Future Challanges," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 67(2), pages 172-179, April-Jun.

  9. Fabio Bacchini, Maria Elena Bontempi, Cristina Brandimarte, Roberto Golinelli, Cecilia Jona-Lasinio, Carmine Pappalardo, 2013. "The Macroeconometric Models For Italy (Memo-It): Policy Evaluation And Future Challanges," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 67(2), pages 172-179, April-Jun.

    Cited by:

    1. Francesco Zezza & Gennaro Zezza, 2020. "A Stock-Flow Consistent Quarterly Model of the Italian Economy," Economics Working Paper Archive wp_958, Levy Economics Institute.

  10. Golinelli, Roberto & Rovelli, Riccardo, 2013. "Did growth and reforms increase citizens' support for the transition?," European Journal of Political Economy, Elsevier, vol. 30(C), pages 112-137.
    See citations under working paper version above.
  11. Easaw, Joshy & Golinelli, Roberto & Malgarini, Marco, 2013. "What determines households inflation expectations? Theory and evidence from a household survey," European Economic Review, Elsevier, vol. 61(C), pages 1-13.

    Cited by:

    1. Nautz, Dieter & Strohsal, Till & Netšunajev, Aleksei, 2019. "The Anchoring Of Inflation Expectations In The Short And In The Long Run," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1959-1977, July.
    2. Joshy Easaw & Roberto Golinelli, 2022. "Professionals Inflation Forecasts: The Two Dimensions Of Forecaster Inattentiveness [“Sectoral and aggregate inflation dynamics in the euro area”]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 701-720.
    3. Wang, Ben Zhe & Sheen, Jeffrey & Trück, Stefan & Chao, Shih-Kang & Härdle, Wolfgang Karl, 2020. "A Note On The Impact Of News On Us Household Inflation Expectations," Macroeconomic Dynamics, Cambridge University Press, vol. 24(4), pages 995-1015, June.
    4. Sheen, Jeffrey & Wang, Ben Zhe, 2023. "Do monetary condition news at the zero lower bound influence households’ expectations and readiness to spend?," European Economic Review, Elsevier, vol. 152(C).
    5. Peter Backé & Elisabeth Beckmann, 2020. "What drives people’s expectations of euro adoption? – Evidence from the OeNB Euro Survey on selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/20, pages 57-79.
    6. Lamla, Michael & PJaifar, Damian & Rendell, Lea, 2019. "Inflation and Deflationary Biases in Inflation Expectations," Essex Finance Centre Working Papers 24771, University of Essex, Essex Business School.
    7. Michael Ehrmann & Damjan Pfajfar & Emiliano Santoro, 2014. "Consumer Attitudes and the Epidemiology of Inflation Expectations," Staff Working Papers 14-28, Bank of Canada.
    8. R. Erasmus & H. Hollander, 2020. "A Forward Guidance Indicator For The South African Reserve Bank: Implementing A Text Analysis Algorithm," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 44(3), pages 41-72, December.
    9. Michael Ehrmann & Damjan Pfajfar & Emiliano Santoro, 2017. "Consumers' Attitudes and Their Inflation Expectations," International Journal of Central Banking, International Journal of Central Banking, vol. 13(1), pages 225-259, February.
    10. Sangyup Choi & Sang-Hyun Kim & Myunghwan Andrew Lee & Siye Bae & Myungkyu Shim, 2022. "Partisan Bias in Inflation Beliefs: New Evidence from Korea," Working papers 2022rwp-205, Yonsei University, Yonsei Economics Research Institute.
    11. Abhiman Das & Kajal Lahiri & Yongchen Zhao, 2018. "Inflation Expectations in India: Learning from Household Tendency Surveys," Working Papers 2018-03, Towson University, Department of Economics, revised Aug 2018.
    12. Ewa Stanisławska, 2019. "Consumers’ Perception of Inflation in Inflationary and Deflationary Environment," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 15(1), pages 41-71, April.
    13. Junichi Kikuchi & Yoshiyuki Nakazono, 2023. "The Formation of Inflation Expectations: Microdata Evidence from Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(6), pages 1609-1632, September.
    14. Ewa Stanisławska & Maritta Paloviita, 2021. "Medium- vs. short-term consumer inflation expectations: evidence from a new euro area survey," NBP Working Papers 338, Narodowy Bank Polski.
    15. Goyal, Ashima & Parab, Prashant, 2021. "What influences aggregate inflation expectations of households in India?," Journal of Asian Economics, Elsevier, vol. 72(C).
    16. Niu, G., 2014. "Essays on subjective expectations and mortality trends," Other publications TiSEM b9f72836-d8ad-478b-adca-4, Tilburg University, School of Economics and Management.
    17. Martin Geiger & Johann Scharler, 2021. "How Do People Interpret Macroeconomic Shocks? Evidence from U.S. Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(4), pages 813-843, June.
    18. Agarwal, Sumit & Chua, Yeow Hwee & Song, Changcheng, 2022. "Inflation expectations of households and the upgrading channel," Journal of Monetary Economics, Elsevier, vol. 128(C), pages 124-138.
    19. Nam, Minho & Go, Minji, 2018. "Nexus between Inflation, Inflation Perceptions and Expectations," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 40(3), pages 45-68.
    20. Lamla, Michael & Vinogradov, Dmitri, 2022. "Is the Word of a Gentleman as Good as His Tweet? Policy Communications of the Bank of England," VfS Annual Conference 2022 (Basel): Big Data in Economics 264097, Verein für Socialpolitik / German Economic Association.
    21. Easaw, Joshy, 2015. "Household Forming Inflation Expectations: Why Do They Overreact ?," Cardiff Economics Working Papers E2015/14, Cardiff University, Cardiff Business School, Economics Section.
    22. Carlos Medel, 2021. "Searching for the Best Inflation Forecasters within a Consumer Perceptions Survey: Microdata Evidence from Chile," Working Papers Central Bank of Chile 899, Central Bank of Chile.
    23. Sorić, Petar & Lolić, Ivana & Claveria, Oscar & Monte, Enric & Torra, Salvador, 2019. "Unemployment expectations: A socio-demographic analysis of the effect of news," Labour Economics, Elsevier, vol. 60(C), pages 64-74.
    24. Lamla, Michael J & Vinogradov, Dmitri V, 2019. "Central Bank Announcements: Big News for Little People?," Essex Finance Centre Working Papers 25125, University of Essex, Essex Business School.
    25. Huw Dixon & Joshy Easaw & Saeed Heravi, 2020. "Forecasting inflation gap persistence: Do financial sector professionals differ from nonfinancial sector ones?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 461-474, July.
    26. Lena Dräger & Michael Lamla, 2018. "Is the Anchoring of Consumers' Inflation Expectations Shaped by Inflational Experience?," CESifo Working Paper Series 7042, CESifo.
    27. Dieter Nautz & Aleksei Netsunajev & Till Strohsal, 2016. "Aggregate Employment, Job Polarization and Inequalities: A Transatlantic Perspective," SFB 649 Discussion Papers SFB649DP2016-015, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    28. Stanisławska, Ewa & Paloviita, Maritta & Łyziak, Tomasz, 2019. "Assessing reliability of aggregated inflation views in the European Commission consumer survey," Bank of Finland Research Discussion Papers 10/2019, Bank of Finland.
    29. Michael Lamla & Damjan Pfajfar & Lea Rendell, 2018. "Confidence in Central Banks and Inflation Expectations," 2018 Meeting Papers 945, Society for Economic Dynamics.
    30. Ashima Goyal & Prashant Mehul Parab, 2019. "Modeling Consumers' Confidence and Inflation Expectations," Economics Bulletin, AccessEcon, vol. 39(3), pages 1817-1832.
    31. Charles Bellemare & Rolande Kpekou Tossou & Kevin Moran, 2020. "The Determinants of Consumers' Inflation Expectations: Evidence from the US and Canada," Staff Working Papers 20-52, Bank of Canada.
    32. Pooja Kapoor & Sujata Kar, 2024. "Do Central Bank Communications Influence Survey of Professional Forecasters? An Empirical Investigation," Business Perspectives and Research, , vol. 12(1), pages 100-112, January.
    33. Ashima Goyal & Prashant Parab, 2019. "Modeling heterogeneity and rationality of inflation expectations across Indian households," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2019-02, Indira Gandhi Institute of Development Research, Mumbai, India.
    34. Stanisławska, Ewa & Paloviita, Maritta & Łyziak, Tomasz, 2021. "Consumer inflation views: Micro-level inconsistencies and macro-level measures," Economics Letters, Elsevier, vol. 206(C).
    35. Young Bin Ahn & Yoichi Tsuchiya, 2022. "Consumer’s perceived and expected inflation in Japan—irrationality or asymmetric loss?," Empirical Economics, Springer, vol. 63(3), pages 1247-1292, September.

  12. Maria Elena Bontempi & Roberto Golinelli, 2012. "The effect of neglecting the slope parameters’ heterogeneity on dynamic models of corporate capital structure," Quantitative Finance, Taylor & Francis Journals, vol. 12(11), pages 1733-1751, November.

    Cited by:

    1. Alice Monti & Pierpaolo Pattitoni & Barbara Petracci & Otto Randl, 2022. "Does corporate social responsibility impact equity risk? International evidence," Review of Quantitative Finance and Accounting, Springer, vol. 59(3), pages 825-855, October.
    2. Zhou, Qing & Tan, Kelvin Jui Keng & Faff, Robert & Zhu, Yushu, 2016. "Deviation from target capital structure, cost of equity and speed of adjustment," Journal of Corporate Finance, Elsevier, vol. 39(C), pages 99-120.
    3. Maria Elena Bontempi & Laura Bottazzi & Roberto Golinelli, 2015. "ynamic corporate capital structure behavior:empirical assessment in the light of heterogeneity and non stationarity," Working Papers 537, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    4. bag, DINABANDHU, 2013. "Market Leverage Of Real Estate Firms In India: Empirical Study," OSF Preprints 3d7v4, Center for Open Science.
    5. Bontempi, Maria Elena & Bottazzi, Laura & Golinelli, Roberto, 2020. "A multilevel index of heterogeneous short-term and long-term debt dynamics," Journal of Corporate Finance, Elsevier, vol. 64(C).
    6. Bag, Dinabandhu, 2014. "Market leverage of real estate firms in India: empirical study," EconStor Conference Papers 272924, ZBW - Leibniz Information Centre for Economics.

  13. Easaw Joshy & Golinelli Roberto, 2010. "Households Forming Inflation Expectations: Active and Passive Absorption Rates," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-32, November.

    Cited by:

    1. Easaw, Joshy & Golinelli, Roberto & Malgarini, Marco, 2013. "What determines households inflation expectations? Theory and evidence from a household survey," European Economic Review, Elsevier, vol. 61(C), pages 1-13.
    2. Timo Henckel & Gordon Menzies & Daniel J. Zizzo, 2013. "The Great Recession and the Two Dimensions of European Central Bank Credibility," Working Paper Series 13, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    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. Hossein Hassani & Jan Coreman & Saeed Heravi & Joshy Easaw, 2018. "Forecasting Inflation Rate: Professional Against Academic, Which One is More Accurate," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(3), pages 631-646, September.
    6. Easaw Joshy & Mossay Pascal, 2015. "Households forming macroeconomic expectations: inattentive behavior with social learning," The B.E. Journal of Macroeconomics, De Gruyter, vol. 15(1), pages 1-25, January.
    7. Lena Draeger, 2011. "Endogenous persistence with recursive inattentiveness," KOF Working papers 11-285, KOF Swiss Economic Institute, ETH Zurich.
    8. J. Easaw & R. Golinelli, 2012. "Household Inflation Expectations: Information Gathering, Inattentive or Stubborn ?," Working Papers wp853, Dipartimento Scienze Economiche, Universita' di Bologna.
    9. J. Easaw & R. Golinelli & M. Malgarini, 2012. "Do Households Anchor their Inflation Expectations? Theory and Evidence from a Household Survey," Working Papers wp842, Dipartimento Scienze Economiche, Universita' di Bologna.
    10. Easaw, Joshy & Golinelli, Roberto, 2014. "Inflation Expectations and the Two Forms of Inattentiveness," Cardiff Economics Working Papers E2014/21, Cardiff University, Cardiff Business School, Economics Section.
    11. Ashima Goyal & Prashant Parab, 2019. "Modeling heterogeneity and rationality of inflation expectations across Indian households," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2019-02, Indira Gandhi Institute of Development Research, Mumbai, India.

  14. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting monthly industrial production in real-time: from single equations to factor-based models," Empirical Economics, Springer, vol. 39(2), pages 303-336, October.

    Cited by:

    1. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    2. Mikosch, Heiner & Solanko, Laura, 2017. "Should one follow movements in the oil price or in money supply? Forecasting quarterly GDP growth in Russia with higher-frequency indicators," BOFIT Discussion Papers 19/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    3. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    4. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Lorenzo Bencivelli & Massimiliano Marcellino & Gianluca Moretti, 2017. "Forecasting economic activity by Bayesian bridge model averaging," Empirical Economics, Springer, vol. 53(1), pages 21-40, August.
    6. Heiner Mikosch & Laura Solanko, 2019. "Forecasting Quarterly Russian GDP Growth with Mixed-Frequency Data," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 19-35, March.
    7. Daniel Tomiæ Saša Stjepanoviæ, 2017. "Forecasting Capacity of ARIMA Models; A Study on Croatian Industrial Production and its Sub-sectors," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 20(1), pages 81-99, May.
    8. Guido Bulligan & Massimiliano Marcellino & Fabrizio Venditti, 2012. "Forecasting economic activity with higher frequency targeted predictors," Temi di discussione (Economic working papers) 847, Bank of Italy, Economic Research and International Relations Area.
    9. Golinelli, Roberto & Parigi, Giuseppe, 2008. "Real-time squared: A real-time data set for real-time GDP forecasting," International Journal of Forecasting, Elsevier, vol. 24(3), pages 368-385.
    10. Matteo Luciani, 2011. "Forecasting with Approximate Dynamic Factor Models: the Role of Non-Pervasive Shocks," Working Papers ECARES ECARES 2011‐022, ULB -- Universite Libre de Bruxelles.
    11. Alessandro Borin & Riccardo Cristadoro & Roberto Golinelli & Giuseppe Parigi, 2012. "Forecasting world output: the rising importance of emerging economies," Temi di discussione (Economic working papers) 853, Bank of Italy, Economic Research and International Relations Area.
    12. Riccardo Corradini, 2019. "A Set of State–Space Models at a High Disaggregation Level to Forecast Italian Industrial Production," J, MDPI, vol. 2(4), pages 1-53, November.
    13. Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting the French index of industrial production: A comparison from bridge and factor models," Economic Modelling, Elsevier, vol. 29(6), pages 2174-2182.
    14. Massimiliano Giacalone & Raffaele Mattera & Eugenia Nissi, 2020. "Economic indicators forecasting in presence of seasonal patterns: time series revision and prediction accuracy," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 67-84, February.
    15. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.
    16. Bulligan, Guido & Marcellino, Massimiliano & Venditti, Fabrizio, 2015. "Forecasting economic activity with targeted predictors," International Journal of Forecasting, Elsevier, vol. 31(1), pages 188-206.

  15. Bontempi, Maria Elena & Golinelli, Roberto & Parigi, Giuseppe, 2010. "Why demand uncertainty curbs investment: Evidence from a panel of Italian manufacturing firms," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 218-238, March.
    See citations under working paper version above.
  16. Roberto Golinelli & Sandro Momigliano, 2009. "The Cyclical Reaction of Fiscal Policies in the Euro Area: The Role of Modelling Choices and Data Vintages," Fiscal Studies, Institute for Fiscal Studies, vol. 30(1), pages 39-72, March.

    Cited by:

    1. Taner Turan & Pelin Varol Iyidogan, 2022. "Estimating Fiscal Reaction Functions for Developing and Developed Countries: A Dynamic Panel Threshold Analysis," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(5), pages 393-410, May.
    2. Darby, Julia & Melitz, Jacques, 2012. "Joint estimates of automatic and discretionary fiscal policy: the OECD 1981-2003," SIRE Discussion Papers 2012-81, Scottish Institute for Research in Economics (SIRE).
    3. Philip Lane, 2010. "International Differences in Fiscal Policy During the Global Crisis," The Institute for International Integration Studies Discussion Paper Series iiisdp336, IIIS.
    4. Julia del Amo Valor & Marcos Martín Mateos & Diego Martínez López & Javier J. Pérez, 2023. "Is the European economic governance framework too “complex”? A critical discussion," Working Papers 2023-06, FEDEA.
    5. Brändle, Thomas & Elsener, Marc, 2023. "Do fiscal rules matter? A survey on recent evidence," Working papers 2023/07, Faculty of Business and Economics - University of Basel.
    6. Athanasios Tagkalakis, 2012. "Fiscal policy and asset price volatility," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 39(1), pages 123-156, February.
    7. Cláudia Braz & Nicolas Carnot, 2019. "Euro Area Fiscal Policy Changes: Stylised Features of the Past Two Decades," European Economy - Discussion Papers 109, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    8. Balázs Égert, 2012. "Fiscal Policy Reaction to the Cycle in the OECD: Pro- or Counter-cyclical?," EconomiX Working Papers 2012-12, University of Paris Nanterre, EconomiX.
    9. Agustín S. Bénétrix & Philip R. Lane, 2012. "Fiscal Cyclicality and EMU," The Institute for International Integration Studies Discussion Paper Series iiisdp403, IIIS.
    10. Plödt, Martin & Reicher, Claire A., 2015. "Estimating fiscal policy reaction functions: The role of model specification," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 113-128.
    11. Theofilakou, Nancy & Stournaras, Yannis, 2012. "Government solvency and financial markets: Dynamic panel estimates for the European Monetary Union," Economics Letters, Elsevier, vol. 115(1), pages 130-133.
    12. Sami Kallal & Imène Guetat, 2020. "Fiscal stance, election year and 2007 crisis, evidence from OECD countries (1980–2017)," Post-Print hal-04097392, HAL.
    13. Heimberger, Philipp, 2023. "The cyclical behaviour of fiscal policy: A meta-analysis," Economic Modelling, Elsevier, vol. 123(C).
    14. Gerhard Kempkes, 2014. "Cyclical Adjustment in Fiscal Rules: Some Evidence on Real-Time Bias for EU-15 Countries," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 70(2), pages 278-315, June.
    15. Gabrisch, Hurbert & Orlowski, Lucjan & Pusch, Toralf, 2012. "Sovereign Default Risk in the Euro-Periphery and the Euro-Candidate Countries," Working Papers 2012002, Sacred Heart University, John F. Welch College of Business.
    16. Jacopo Cimadomo, 2011. "Real-Time Data and Fiscal Policy Analysis: a Survey of the Literature," Working Papers 2011-20, CEPII research center.
    17. Reicher, Claire, 2014. "Systematic fiscal policy and macroeconomic performance: A critical overview of the literature," Economics Discussion Papers 2014-29, Kiel Institute for the World Economy (IfW Kiel).
    18. Karlis Vilerts & Olegs Tkacevs, 2016. "The Impact of Sovereign Bond Yields on Fiscal Discipline," Working Papers 2016/05, Latvijas Banka.
    19. Philipp Heimberger, 2022. "The Cyclical Behaviour of Fiscal Policy During the Covid-19 Crisis," wiiw Working Papers 220, The Vienna Institute for International Economic Studies, wiiw.
    20. Maritta Paloviita, 2017. "Real time uncertainty in fiscal planning and debt accumulation in the euro area," International Economics and Economic Policy, Springer, vol. 14(1), pages 43-59, January.
    21. Tagkalakis, Athanasios, 2011. "Asset price volatility and government revenue," Economic Modelling, Elsevier, vol. 28(6), pages 2532-2543.
    22. Cláudia Braz & Nicolas Carnot, 2019. "Euro area fiscal policy changes: stylised features of the past two decades," Working Papers w201910, Banco de Portugal, Economics and Research Department.
    23. Athanasios Tagkalakis, 2012. "The effects of financial crisis on fiscal positions," Working Papers 145, Bank of Greece.
    24. Francisco Castro & Daniel Garrote, 2015. "The effects of fiscal shocks on the exchange rate in the EMU and differences with the USA," Empirical Economics, Springer, vol. 49(4), pages 1341-1365, December.
    25. Katja Schmidt & Antoine Sigwalt, 2022. "Fiscal policy orientation in the euro area in real-time," Working papers 896, Banque de France.
    26. Dean Croushore & Simon van Norden, 2014. "Fiscal policy: ex ante and ex post," Working Papers 14-22, Federal Reserve Bank of Philadelphia.
    27. Bruno Amable & Karim Azizi, 2014. "Counter-cyclical budget policy across varieties of capitalism," Post-Print hal-00941813, HAL.
    28. Georgantas, Georgios & Kasselaki, Maria & Tagkalakis, Athanasios, 2023. "Τhe effects of fiscal consolidation in OECD countries," Economic Modelling, Elsevier, vol. 118(C).
    29. Burriel, Pablo & de Castro Fernández, Francisco & Garrote, Daniel & Gordo, Esther & Paredes, Joan & Pérez, Javier J., 2009. "Fiscal policy shocks in the euro area and the US: an empirical assessment," Working Paper Series 1133, European Central Bank.
    30. Alessio Anzuini & Luca Rossi & Pietro Tommasino, 2017. "Fiscal policy uncertainty and the business cycle: time series evidence from Italy," Temi di discussione (Economic working papers) 1151, Bank of Italy, Economic Research and International Relations Area.
    31. Darby, Julia & Melitz, Jacques, 2011. "Joint estimates of automatic and discretionary fiscal policy for the OECD," SIRE Discussion Papers 2011-43, Scottish Institute for Research in Economics (SIRE).
    32. Paloviita, Maritta, 2012. "Fiscal planning and implementation: euro area analysis based on real time data," Bank of Finland Research Discussion Papers 34/2012, Bank of Finland.
    33. Larch, Martin & Cugnasca, Alessandro & Kumps, Diederik & Orseau, Eloïse, 2019. "Fiscal policy and the assessment of output gaps in real time: An exercise in risk management," ZEW Discussion Papers 19-013, ZEW - Leibniz Centre for European Economic Research.
    34. Gootjes, Bram & de Haan, Jakob, 2022. "Procyclicality of fiscal policy in European Union countries," Journal of International Money and Finance, Elsevier, vol. 120(C).
    35. Mogaji, Peter Kehinde, 2015. "Fiscal Cyclicality in the Anglophone West Africa and Guinea: Panel Data Assessments of Contemporaneous and Lagged Fiscal Rules," MPRA Paper 99800, University Library of Munich, Germany.
    36. Markus Eller & Jarko Fidrmuc & Zuzana Fungáčová, 2016. "Fiscal Policy and Regional Output Volatility: Evidence from Russia," Regional Studies, Taylor & Francis Journals, vol. 50(11), pages 1849-1862, November.
    37. Larch, Martin & Orseau, Eloïse & van der Wielen, Wouter, 2021. "Do EU fiscal rules support or hinder counter-cyclical fiscal policy?," Journal of International Money and Finance, Elsevier, vol. 112(C).
    38. Cimadomo, Jacopo, 2008. "Fiscal policy in real time," Working Paper Series 919, European Central Bank.
    39. Larch, Martin & Kumps, Diederik & Cugnasca, Alessandro, 2021. "Fiscal stabilisation in real time: An exercise in risk management," Economic Modelling, Elsevier, vol. 99(C).
    40. M. E. Bontempi & I. Mammi, 2014. "pca2: implementing a strategy to reduce the instrument count in panel GMM," Working Papers wp960, Dipartimento Scienze Economiche, Universita' di Bologna.
    41. Plödt, Martin & Reicher, Claire, 2014. "Estimating simple fiscal policy reaction functions for the euro area countries," Kiel Working Papers 1899, Kiel Institute for the World Economy (IfW Kiel).
    42. Kempkes, Gerhard, 2012. "Cyclical adjustment in fiscal rules: Some evidence on real-time bias for EU-15 countries," Discussion Papers 15/2012, Deutsche Bundesbank.
    43. Agnello, Luca & Castro, Vítor & Sousa, Ricardo M., 2023. "A quest between fiscal and market discipline," Economic Modelling, Elsevier, vol. 119(C).
    44. Attinasi, Maria Grazia & Palazzo, Alessandra Anna & Pierluigi, Beatrice, 2019. "Fiscal activism in the euro area and in other advanced economies: new evidence," Working Paper Series 2344, European Central Bank.
    45. Olegs Tkacevs & Karsten Staehr & Katri Urke, 2023. "Fiscal Performance under Inflation and Inflation Surprises: Evidence from Fiscal Reaction Functions for the Euro Area," Working Papers 2023/04, Latvijas Banka.
    46. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    47. Koester, Gerrit B. & Priesmeier, Christoph, 2015. "The Timing and Responsiveness of Fiscal Policy over the Business Cycle in Germany," MPRA Paper 68412, University Library of Munich, Germany.
    48. Jakob de Haan & Bram Gootjes, 2023. "What Makes Discretionary Counter-Cyclical Fiscal Policy so Difficult? An Analysis of 32 OECD Countries," CESifo Economic Studies, CESifo Group, vol. 69(1), pages 1-20.
    49. Heimberger, Philipp, 2023. "This time truly is different: The cyclical behaviour of fiscal policy during the Covid-19 crisis," Journal of Macroeconomics, Elsevier, vol. 76(C).
    50. Ricci-Risquete, Alejandro & Ramajo, Julián & de Castro, Francisco, 2016. "Do Spanish fiscal regimes follow the euro-area trends? Evidence from Markov-Switching fiscal rules," Economic Modelling, Elsevier, vol. 59(C), pages 484-494.
    51. Patrícia Martins & Leonida Correia, 2016. "Fiscal Forecasts and Slippages: The Role of the SGP and Domestic Fiscal Frameworks," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 58(2), pages 226-253, June.
    52. Tagkalakis, Athanasios, 2011. "Fiscal policy and financial market movements," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 231-251, January.
    53. I. Mammi, 2015. "GMM estimation of fiscal rules: Monte Carlo experiments and empirical tests," Working Papers wp1028, Dipartimento Scienze Economiche, Universita' di Bologna.
    54. Francesco Caprioli & Marzia Romanelli & Pietro Tommasino, 2020. "Discretionary fiscal policy in the Euro area: Past, present and future," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2020(1), pages 55-85.
    55. Patricia Martins & Leonida Correia, 2013. "The determinants of macroeconomic forecasts and the Stability and Growth Pact," Working Papers Department of Economics 2013/07, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    56. Ioannou, Demosthenes & Stracca, Livio, 2014. "Have the euro area and EU governance worked? Just the facts," European Journal of Political Economy, Elsevier, vol. 34(C), pages 1-17.

  17. Golinelli, Roberto & Parigi, Giuseppe, 2008. "Real-time squared: A real-time data set for real-time GDP forecasting," International Journal of Forecasting, Elsevier, vol. 24(3), pages 368-385.

    Cited by:

    1. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    2. Heij, Christiaan & van Dijk, Dick & Groenen, Patrick J.F., 2011. "Real-time macroeconomic forecasting with leading indicators: An empirical comparison," International Journal of Forecasting, Elsevier, vol. 27(2), pages 466-481, April.
    3. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    4. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Chen, Qiwei & Costantini, Mauro & Deschamps, Bruno, 2016. "How accurate are professional forecasts in Asia? Evidence from ten countries," International Journal of Forecasting, Elsevier, vol. 32(1), pages 154-167.
    6. Lorenzo Bencivelli & Massimiliano Marcellino & Gianluca Moretti, 2017. "Forecasting economic activity by Bayesian bridge model averaging," Empirical Economics, Springer, vol. 53(1), pages 21-40, August.
    7. Francesca Pancotto & Giuseppe Pignataro & Davide Raggi, 2015. "Social Learning and Higher Order Beliefs: A Structural Model of Exchange Rates Dynamics," LEM Papers Series 2015/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Boriss Siliverstovs, 2013. "Do business tendency surveys help in forecasting employment?: A real-time evidence for Switzerland," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 129-151.
    9. Guidolin, Massimo & Hyde, Stuart & McMillan, David & Ono, Sadayuki, 2009. "Non-linear predictability in stock and bond returns: When and where is it exploitable?," International Journal of Forecasting, Elsevier, vol. 25(2), pages 373-399.
    10. Massimo Guidolin & Stuart Hyde & David McMillan & Sadayuki Ono, 2010. "Does the macroeconomy predict U.K. asset returns in a nonlinear fashion? comprehensive out-of-sample evidence," Working Papers 2010-039, Federal Reserve Bank of St. Louis.
    11. Heij, C. & van Dijk, D.J.C. & Groenen, P.J.F., 2009. "Macroeconomic forecasting with real-time data: an empirical comparison," Econometric Institute Research Papers EI 2009-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Andreas Dibiasi & Samad Sarferaz, 2020. "Measuring Macroeconomic Uncertainty: The Labor Channel of Uncertainty from a Cross-Country Perspective," Papers 2006.09007, arXiv.org, revised Dec 2020.
    13. Sándor Kovács & Prasert Chaitip & Chukiat Chaiboonsri & Péter Balogh, 2012. "The Long Memory Property of Hungarian Market Pig Prices: A Comparison of Three Different Methods," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 12(3), pages 123-138.
    14. F. Pancotto & G. Pignataro & D. Raggi, 2014. "Higher order beliefs and the dynamics of exchange rates," Working Papers wp957, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. Alessandro Borin & Riccardo Cristadoro & Roberto Golinelli & Giuseppe Parigi, 2012. "Forecasting world output: the rising importance of emerging economies," Temi di discussione (Economic working papers) 853, Bank of Italy, Economic Research and International Relations Area.
    16. Boriss Siliverstovs, 2010. "Assessing Predictive Content of the KOF Barometer in Real Time," KOF Working papers 10-249, KOF Swiss Economic Institute, ETH Zurich.
    17. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting monthly industrial production in real-time: from single equations to factor-based models," Empirical Economics, Springer, vol. 39(2), pages 303-336, October.
    18. Dibiasi, Andreas & Sarferaz, Samad, 2023. "Measuring macroeconomic uncertainty: A cross-country analysis," European Economic Review, Elsevier, vol. 153(C).

  18. Giuseppe Parigi & Roberto Golinelli, 2007. "The use of monthly indicators to forecast quarterly GDP in the short run: an application to the G7 countries," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(2), pages 77-94.

    Cited by:

    1. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    2. Donato Ceci & Andrea Silvestrini, 2023. "Nowcasting the state of the Italian economy: The role of financial markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1569-1593, November.
    3. Olivier Darne & Amelie Charles, 2020. "Nowcasting GDP growth using data reduction methods: Evidence for the French economy," Economics Bulletin, AccessEcon, vol. 40(3), pages 2431-2439.
    4. Katja Drechsel & Dr. Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
    5. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    6. Ge, Yiqing & Tang, Ke, 2020. "Commodity prices and GDP growth," International Review of Financial Analysis, Elsevier, vol. 71(C).
    7. Mikosch, Heiner & Solanko, Laura, 2017. "Should one follow movements in the oil price or in money supply? Forecasting quarterly GDP growth in Russia with higher-frequency indicators," BOFIT Discussion Papers 19/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    8. Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta, 2010. "Nowcasting," Working Paper Series 1275, European Central Bank.
    9. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    10. Claudia Godbout & Marco J. Lombardi, 2012. "Short-Term Forecasting of the Japanese Economy Using Factor Models," Staff Working Papers 12-7, Bank of Canada.
    11. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
    12. Schwarzmüller, Tim, 2015. "Model pooling and changes in the informational content of predictors: An empirical investigation for the euro area," Kiel Working Papers 1982, Kiel Institute for the World Economy (IfW Kiel).
    13. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    14. Dunbar, Kwamie & Jiang, Jing, 2020. "What do movements in financial traders’ net long positions reveal about aggregate stock returns?," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    15. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting industrial production: the role of information and methods," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 227-235, Bank for International Settlements.
    16. Galdi, Giulio & Casarin, Roberto & Ferrari, Davide & Fezzi, Carlo & Ravazzolo, Francesco, 2023. "Nowcasting industrial production using linear and non-linear models of electricity demand," Energy Economics, Elsevier, vol. 126(C).
    17. Lorenzo Bencivelli & Massimiliano Marcellino & Gianluca Moretti, 2017. "Forecasting economic activity by Bayesian bridge model averaging," Empirical Economics, Springer, vol. 53(1), pages 21-40, August.
    18. Christian Grimme & Robert Lehmann & Marvin Noeller, 2019. "Forecasting Imports with Information from Abroad," ifo Working Paper Series 294, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    19. Amélie Charles & Chew Lian Chua & Olivier Darné & Sandy Suardi, 2021. "Oil price shocks, real economic activity and uncertainty," Bulletin of Economic Research, Wiley Blackwell, vol. 73(3), pages 364-392, July.
    20. Siliverstovs Boriss & Kholodilin Konstantin A., 2012. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 429-444, August.
    21. Heiner Mikosch & Laura Solanko, 2019. "Forecasting Quarterly Russian GDP Growth with Mixed-Frequency Data," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 19-35, March.
    22. Enrico D’Elia & Francesca Faedda & Giacomo Giannone, 2020. "Un modello statistico per il monitoraggio delle entrate tributarie (MoME)," Working Papers wp2020-5, Ministry of Economy and Finance, Department of Finance.
    23. Lombardi, Marco J. & Maier, Philipp, 2011. "Forecasting economic growth in the euro area during the Great Moderation and the Great Recession," Working Paper Series 1379, European Central Bank.
    24. Oliver Hülsewig & Johannes Mayr & Stéphane Sorbe, 2007. "Assessing the Forecast Properties of the CESifo World Economic Climate Indicator: Evidence for the Euro Area," ifo Working Paper Series 46, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    25. Tony Chernis & Rodrigo Sekkel, 2017. "A dynamic factor model for nowcasting Canadian GDP growth," Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
    26. Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
    27. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    28. Hamid Baghestani, 2009. "Evaluating random walk forecasts of exchange rates," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 26(3), pages 171-181, July.
    29. Donato Ceci & Orest Prifti & Andrea Silvestrini, 2024. "Nowcasting Italian GDP growth: a Factor MIDAS approach," Temi di discussione (Economic working papers) 1446, Bank of Italy, Economic Research and International Relations Area.
    30. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    31. Golinelli, Roberto & Parigi, Giuseppe, 2008. "Real-time squared: A real-time data set for real-time GDP forecasting," International Journal of Forecasting, Elsevier, vol. 24(3), pages 368-385.
    32. Klaus Wohlrabe, 2009. "Macroeconomic forecasting with mixed frequencies," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(21), pages 22-33, November.
    33. Marianna Cervená & Martin Schneider, 2010. "Short-term forecasting GDP with a DSGE model augmented by monthly indicators," Working Papers 163, Oesterreichische Nationalbank (Austrian Central Bank).
    34. Francisco Blasques & Siem Jan Koopman & Max Mallee, 2014. "Low Frequency and Weighted Likelihood Solutions for Mixed Frequency Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-105/III, Tinbergen Institute.
    35. Ch. Piette & G. Langenus, 2014. "Using BREL to nowcast the Belgian business cycle: the role of survey data," Economic Review, National Bank of Belgium, issue i, pages 75-98, June.
    36. Ghulame Rubbaniy & Ali Awais Khalid & Stathis Polyzos & Balqees Naser Almessabi, 2022. "Cyclicality of capital adequacy ratios in heterogeneous environment: A nonlinear panel smooth transition regression explanation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1960-1979, September.
    37. Alessandro Borin & Riccardo Cristadoro & Roberto Golinelli & Giuseppe Parigi, 2012. "Forecasting world output: the rising importance of emerging economies," Temi di discussione (Economic working papers) 853, Bank of Italy, Economic Research and International Relations Area.
    38. Kitlinski, Tobias, 2015. "With or without you: Do financial data help to forecast industrial production?," Ruhr Economic Papers 558, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    39. Amin Gharipour & Morteza Sameti & Ali Yousefian, 2010. "A Comparative Approximate Economic Behavior Analysis of Support Vector Machines and Neural Networks Models," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 15(2), pages 17-40, spring.
    40. Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting the French index of industrial production: A comparison from bridge and factor models," Economic Modelling, Elsevier, vol. 29(6), pages 2174-2182.
    41. Fabio Busetti & Juri Marcucci & Giovanni Veronese, 2009. "Comparing forecast accuracy: A Monte Carlo investigation," Temi di discussione (Economic working papers) 723, Bank of Italy, Economic Research and International Relations Area.
    42. Anna Norin, 2011. "Nowcasting of the Gross Regional Product," ERSA conference papers ersa10p768, European Regional Science Association.
    43. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.

  19. Golinelli, Roberto & Momigliano, Sandro, 2006. "Real-time determinants of fiscal policies in the euro area," Journal of Policy Modeling, Elsevier, vol. 28(9), pages 943-964, December.

    Cited by:

    1. Darby, Julia & Melitz, Jacques, 2012. "Joint estimates of automatic and discretionary fiscal policy: the OECD 1981-2003," SIRE Discussion Papers 2012-81, Scottish Institute for Research in Economics (SIRE).
    2. Serhan Cevik & Vibha Nanda, 2020. "Riding the storm: fiscal sustainability in the Caribbean," International Review of Applied Economics, Taylor & Francis Journals, vol. 34(3), pages 384-399, May.
    3. Avellan, Leopoldo & Vuletin, Guillermo, 2015. "Fiscal procyclicality and output forecast errors," Journal of International Money and Finance, Elsevier, vol. 55(C), pages 193-204.
    4. Álvaro M. Pina, 2009. "Elusive Counter-Cyclicality and Deliberate Opportunism? Fiscal Policy from Plans to Final Outcomes," Working Papers w200906, Banco de Portugal, Economics and Research Department.
    5. Fabrizio Balassone & Maura Francese & Stefania Zotteri, 2010. "Cyclical asymmetry in fiscal variables in the EU," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 37(4), pages 381-402, November.
    6. Rancan, Michela & Cariboni, Jessica & Keasey, Kevin & Vallascas, Francesco, 2023. "Bond issuance and the funding choices of European banks: The consequences of public debt," Journal of Empirical Finance, Elsevier, vol. 74(C).
    7. Pierre Aldama & Jérôme Creel, 2020. "Asymmetric Macroeconomic Stabilization And Fiscal Consolidation In The Oecd And The Euro Area," Working Papers hal-03403071, HAL.
    8. Fabrizio Balassone & Maura Francese & Stefania Zotteri, 2008. "Cyclical asymmetry in fiscal variables," Temi di discussione (Economic working papers) 671, Bank of Italy, Economic Research and International Relations Area.
    9. Luca Agnello & Jacopo Cimadomo, 2012. "Discretionary Fiscal Policies over the Cycle: New Evidence Based on the ESCB Disaggregated Approach," International Journal of Central Banking, International Journal of Central Banking, vol. 8(2), pages 43-85, June.
    10. Heimberger, Philipp, 2023. "The cyclical behaviour of fiscal policy: A meta-analysis," Economic Modelling, Elsevier, vol. 123(C).
    11. Roel Beetsma & Massimo Giuliodori, 2010. "Fiscal adjustment to cyclical developments in the OECD: an empirical analysis based on real-time data," Oxford Economic Papers, Oxford University Press, vol. 62(3), pages 419-441, July.
    12. Jacopo Cimadomo, 2011. "Real-Time Data and Fiscal Policy Analysis: a Survey of the Literature," Working Papers 2011-20, CEPII research center.
    13. Karlis Vilerts & Olegs Tkacevs, 2016. "The Impact of Sovereign Bond Yields on Fiscal Discipline," Working Papers 2016/05, Latvijas Banka.
    14. Maritta Paloviita, 2017. "Real time uncertainty in fiscal planning and debt accumulation in the euro area," International Economics and Economic Policy, Springer, vol. 14(1), pages 43-59, January.
    15. Katja Schmidt & Antoine Sigwalt, 2022. "Fiscal policy orientation in the euro area in real-time," Working papers 896, Banque de France.
    16. Mencinger, Jernej & Aristovnik, Aleksander, 2014. "Fiscal Policy Stance Reaction to the Financial/Economic Crisis in the EMU: The Case of Slovenia," MPRA Paper 62109, University Library of Munich, Germany.
    17. Dean Croushore & Simon van Norden, 2014. "Fiscal policy: ex ante and ex post," Working Papers 14-22, Federal Reserve Bank of Philadelphia.
    18. António Afonso & Peter Claeys & Ricardo Sousa, 2011. "Fiscal regime shifts in Portugal," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 10(2), pages 83-108, August.
    19. Bruno Amable & Karim Azizi, 2014. "Counter-cyclical budget policy across varieties of capitalism," Post-Print hal-00941813, HAL.
    20. Lewis, Kenneth A. & Seidman, Laurence S., 2008. "Overcoming the zero interest-rate bound: A quantitative prescription," Journal of Policy Modeling, Elsevier, vol. 30(5), pages 751-760.
    21. Arsic, Milojko & Nojkovic, Aleksandra & Randjelovic, Sasa, 2017. "Determinants of discretionary fiscal policy in Central and Eastern Europe," Economic Systems, Elsevier, vol. 41(3), pages 367-378.
    22. Mencinger, Jernej & Aristovnik, Aleksander, 2013. "Fiscal Policy Stance in the European Union: The Impact of the Euro," MPRA Paper 44708, University Library of Munich, Germany.
    23. Candelon, B. & Muysken, J. & Vermeulen, R., 2007. "Fiscal policy and monetary integration in Europe: an update," Research Memorandum 050, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    24. Sauro Mocetti, 2012. "Educational choices and the selection process: before and after compulsory schooling," Education Economics, Taylor & Francis Journals, vol. 20(2), pages 189-209, February.
    25. Antoine Cazals & Pierre Mandon, 2015. "Political Budget Cycles: Manipulation of Leaders or Bias from Research? A Meta-Regression Analysis," Working Papers halshs-01238883, HAL.
    26. Antoine CAZALS & Pierre MANDON, 2016. "Political Budget Cycles: Manipulation from Leaders or Manipulation from Researchers? Evidence from a Meta-Regression Analysis," Working Papers 201609, CERDI.
    27. Zeira, Joseph & Strawczynski, Michel, 2009. "Cyclicality of Fiscal Policy: Permanent and Transitory Shocks," CEPR Discussion Papers 7271, C.E.P.R. Discussion Papers.
    28. Darby, Julia & Melitz, Jacques, 2011. "Joint estimates of automatic and discretionary fiscal policy for the OECD," SIRE Discussion Papers 2011-43, Scottish Institute for Research in Economics (SIRE).
    29. Roberto Golinelli & Sandro Momigliano, 2008. "The cyclical response of fiscal policies in the euro area. Why do results of empirical research differ so strongly?," Temi di discussione (Economic working papers) 654, Bank of Italy, Economic Research and International Relations Area.
    30. Paloviita, Maritta, 2012. "Fiscal planning and implementation: euro area analysis based on real time data," Bank of Finland Research Discussion Papers 34/2012, Bank of Finland.
    31. Maltritz, Dominik & Wüste, Sebastian, 2015. "Determinants of budget deficits in Europe: The role and relations of fiscal rules, fiscal councils, creative accounting and the Euro," Economic Modelling, Elsevier, vol. 48(C), pages 222-236.
    32. Florence Huart, 2013. "Is Fiscal Policy Procyclical in the Euro Area?," German Economic Review, Verein für Socialpolitik, vol. 14(1), pages 73-88, February.
    33. Antoine Cazals & Pierre Mandon, 2016. "Political Budget Cycles: Manipulation from Leaders or Manipulation from Researchers? Evidence from a Meta-Regression Analysis," Working Papers halshs-01320586, HAL.
    34. Larch, Martin & Cugnasca, Alessandro & Kumps, Diederik & Orseau, Eloïse, 2019. "Fiscal policy and the assessment of output gaps in real time: An exercise in risk management," ZEW Discussion Papers 19-013, ZEW - Leibniz Centre for European Economic Research.
    35. European Fiscal Board (EFB), 2019. "Assessment of EU fiscal rules with a focus on the six and two-pack legislation," Reports 2019, European Fiscal Board.
    36. Carnazza, Giovanni & Liberati, Paolo & Sacchi, Agnese, 2020. "The cyclically-adjusted primary balance: A novel approach for the euro area," Journal of Policy Modeling, Elsevier, vol. 42(5), pages 1123-1145.
    37. Larch, Martin & Orseau, Eloïse & van der Wielen, Wouter, 2021. "Do EU fiscal rules support or hinder counter-cyclical fiscal policy?," Journal of International Money and Finance, Elsevier, vol. 112(C).
    38. Checherita-Westphal, Cristina & Žďárek, Václav, 2017. "Fiscal reaction function and fiscal fatigue: evidence for the euro area," Working Paper Series 2036, European Central Bank.
    39. Larch, Martin & Kumps, Diederik & Cugnasca, Alessandro, 2021. "Fiscal stabilisation in real time: An exercise in risk management," Economic Modelling, Elsevier, vol. 99(C).
    40. Frankel, Jeffrey A. & Schreger, Jesse, 2016. "Bias in Official Fiscal Forecasts: Can Private Forecasts Help?," Working Paper Series 16-021, Harvard University, John F. Kennedy School of Government.
    41. Emilia Tomczyk, 2013. "End of sample vs. real time data: perspectives for analysis of expectations," Working Papers 68, Department of Applied Econometrics, Warsaw School of Economics.
    42. Aldama, Pierre & Creel, Jérôme, 2022. "Real-time fiscal policy responses in the OECD from 1997 to 2018: Procyclical but sustainable?," European Journal of Political Economy, Elsevier, vol. 73(C).
    43. Briodeau, Clémence & Checherita-Westphal, Cristina, 2023. "Inflation and fiscal policy: is there a threshold effect in the fiscal reaction function?," Working Paper Series 2880, European Central Bank.
    44. Mr. Serhan Cevik & Ms. Katerina Teksoz, 2014. "Deep Roots of Fiscal Behavior," IMF Working Papers 2014/045, International Monetary Fund.
    45. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    46. Koester, Gerrit B. & Priesmeier, Christoph, 2015. "The Timing and Responsiveness of Fiscal Policy over the Business Cycle in Germany," MPRA Paper 68412, University Library of Munich, Germany.
    47. Matthias Bauer, 2013. "Political Aversion To a Multilateral Fiscal Rule: The Dynamic Commitment Problem in European Fiscal Governance," Global Financial Markets Working Paper Series 44-2013, Friedrich-Schiller-University Jena.
    48. Philipp Mohl & Gilles Mourre & Sven Langedijk & Martijn Hoogeland, 2021. "Does Media Visibility Make EU Fiscal Rules More Effective?," European Economy - Discussion Papers 155, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    49. I. Mammi, 2015. "GMM estimation of fiscal rules: Monte Carlo experiments and empirical tests," Working Papers wp1028, Dipartimento Scienze Economiche, Universita' di Bologna.
    50. De Jong, Jasper F.M. & Gilbert, Niels D., 2020. "Fiscal discipline in EMU? Testing the effectiveness of the Excessive Deficit Procedure," European Journal of Political Economy, Elsevier, vol. 61(C).
    51. Hughes Hallett, Andrew & Bernoth, Kerstin & Lewis, John, 2008. "Did Fiscal Policy Makers Know What They Were Doing? Reassessing Fiscal Policy with Real Time Data," CEPR Discussion Papers 6758, C.E.P.R. Discussion Papers.
    52. Antoine Cazals & Pierre Mandon, 2015. "Political Budget Cycles: Manipulation of Leaders or Bias from Research? A Meta-Regression Analysis," CERDI Working papers halshs-01238883, HAL.
    53. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  20. Golinelli, Roberto & Rovelli, Riccardo, 2005. "Monetary policy transmission, interest rate rules and inflation targeting in three transition countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 183-201, January.
    See citations under working paper version above.
  21. Maria Elena Bontempi & Silvia Giannini & Roberto Golinelli, 2005. "Corporate Tax Reforms and Financial Choices: An Empirical Analysis," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 64(2-3), pages 271-294, November.

    Cited by:

    1. Giampaolo Arachi & Federico Biagi, 2005. "Taxation, Cost of Capital and Investment: Do Tax Asymmetries Matter?," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 64(2-3), pages 295-322, November.
    2. Mai, Nhat Chi, 2012. "Market timing, taxes and capital structure: evidence from Vietnam," OSF Preprints t3mvs, Center for Open Science.

  22. Roberto Golinelli & Giuseppe Parigi, 2005. "Le famiglie italiane e l'introduzione dell'euro: storia di uno shock annunciato," Politica economica, Società editrice il Mulino, issue 2, pages 201-226.

    Cited by:

    1. Tito Boeri & Andrea Brandolini, 2004. "The Age of Discontent: Italian Households at the Beginning of the Decade," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 63(3-4), pages 449-487, December.
    2. Paradiso, Antonio & Kumar, Saten & Margani, Patrizia, 2014. "Are Italian consumer confidence adjustments asymmetric? A macroeconomic and psychological motives approach," Journal of Economic Psychology, Elsevier, vol. 43(C), pages 48-63.
    3. Gabriele, Stefania & Martelli, Bianca Maria & Raitano, Michele, 2009. "How dark is the night: the consumers’ mood coping with the crisis.Evidences from ISAE Consumer Survey," MPRA Paper 16289, University Library of Munich, Germany.
    4. Flora Fullone & Bianca Maria Martelli, 2008. "Re-thinking the ISAE Consumer Survey Processing Procedure," ISAE Working Papers 92, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    5. Paolo Giovane & Roberto Sabbatini, 2008. "Perceived and measured inflation after the launch of the euro: explaining the gap in Italy," Springer Books, in: Paolo Giovane & Roberto Sabbatini (ed.), The Euro, Inflation and Consumer’s Perceptions, chapter 1, pages 13-49, Springer.
    6. Marco Malgarini & Patrizia Margani, 2005. "Psychology, consumer sentiment and household expenditures: a disaggregated analysis," ISAE Working Papers 58, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    7. Stefania GABRIELE & Bianca Maria MARTELLI & Michele RAITANO, 2009. "How Dark Is The Night: The Consumers� Mood Coping With The Crisis. Evidences From Isae Consumer Survey," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(3(9)_Fall).
    8. Paradiso, Antonio & Rao, B. Bhaskara & Margani, Patrizia, 2011. "Time Series Estimates of the Italian Consumer Confidence Indicator," MPRA Paper 28395, University Library of Munich, Germany.

  23. Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.

    Cited by:

    1. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008. "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 55(4), pages 665-676, May.
    2. Nicolas Chanut & Mario Marcel & Carlos Medel, 2018. "Can Economic Perception Surveys Improve Macroeconomic Forecasting in Chile?," Working Papers Central Bank of Chile 824, Central Bank of Chile.
    3. Lamprou, Dimitra, 2016. "Nowcasting GDP in Greece: The impact of data revisions and forecast origin on model selection and performance," The Journal of Economic Asymmetries, Elsevier, vol. 14(PA), pages 93-102.
    4. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
    5. Cyrille Lenoel & Garry Young, 2020. "Real-time turning point indicators: Review of current international practices," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-05, Economic Statistics Centre of Excellence (ESCoE).
    6. Christiane Baumeister & Pierre Guérin, 2020. "A Comparison of Monthly Global Indicators for Forecasting Growth," CESifo Working Paper Series 8656, CESifo.
    7. Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    8. Stekler, H.O., 2007. "The future of macroeconomic forecasting: Understanding the forecasting process," International Journal of Forecasting, Elsevier, vol. 23(2), pages 237-248.
    9. Kenichiro McAlinn, 2021. "Mixed‐frequency Bayesian predictive synthesis for economic nowcasting," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1143-1163, November.
    10. Dominique Guégan & Patrick Rakotomarolahy, 2010. "A Short Note on the Nowcasting and the Forecasting of Euro-area GDP Using Non-Parametric Techniques," Economics Bulletin, AccessEcon, vol. 30(1), pages 508-518.
    11. Gian Luigi Mazzi & James Mitchell & Gaetana Montana, 2014. "Density Nowcasts and Model Combination: Nowcasting Euro-Area GDP Growth over the 2008–09 Recession," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 233-256, April.
    12. Banbura, Marta & Rünstler, Gerhard, 2011. "A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP," International Journal of Forecasting, Elsevier, vol. 27(2), pages 333-346, April.
    13. Luci Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon M. Potter, 2014. "Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences," Staff Reports 680, Federal Reserve Bank of New York.
    14. Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 25-44, February.
    15. Olivier Darne & Amelie Charles, 2020. "Nowcasting GDP growth using data reduction methods: Evidence for the French economy," Economics Bulletin, AccessEcon, vol. 40(3), pages 2431-2439.
    16. Katja Drechsel & Dr. Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
    17. Nuttanan Wichitaksorn, 2020. "Analyzing and Forecasting Thai Macroeconomic Data using Mixed-Frequency Approach," PIER Discussion Papers 146, Puey Ungphakorn Institute for Economic Research.
    18. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    19. Raquel Nadal Cesar Gonçalves, 2022. "Nowcasting Brazilian GDP with Electronic Payments Data," Working Papers Series 564, Central Bank of Brazil, Research Department.
    20. Bec, Frédérique & Mogliani, Matteo, 2015. "Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1021-1042.
    21. Helena Rodríguez, 2014. "Un indicador de la evolución del PIB uruguayo en tiempo real," Documentos de trabajo 2014009, Banco Central del Uruguay.
    22. Hanan Naser, 2015. "Estimating and forecasting Bahrain quarterly GDP growth using simple regression and factor-based methods," Empirical Economics, Springer, vol. 49(2), pages 449-479, September.
    23. Saiz, Lorena & Ashwin, Julian & Kalamara, Eleni, 2021. "Nowcasting euro area GDP with news sentiment: a tale of two crises," Working Paper Series 2616, European Central Bank.
    24. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Real-time nowcasting with a Bayesian mixed frequency model with stochastic volatility," Working Papers (Old Series) 1227, Federal Reserve Bank of Cleveland.
    25. Götz, Thomas B. & Knetsch, Thomas A., 2017. "Google data in bridge equation models for German GDP," Discussion Papers 18/2017, Deutsche Bundesbank.
    26. Mikosch, Heiner & Solanko, Laura, 2017. "Should one follow movements in the oil price or in money supply? Forecasting quarterly GDP growth in Russia with higher-frequency indicators," BOFIT Discussion Papers 19/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    27. Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017. "The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey," Economic Modelling, Elsevier, vol. 64(C), pages 26-39.
    28. Pedro Afonso Fernandes, 2024. "Forecasting with Neuro-Dynamic Programming," Papers 2404.03737, arXiv.org.
    29. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    30. Domenico Giannone & Lucrezia Reichlin & Saverio Simonelli, 2009. "Nowcasting Euro Area Economic Activity in Real-Time: The Role of Confidence Indicators," CSEF Working Papers 240, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    31. William Barnett & Biyan Tang, 2015. "Chinese Divisia Monetary Index and GDP Nowcasting," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201506, University of Kansas, Department of Economics, revised Nov 2015.
    32. Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
    33. Nikolaus Hautsch & Fuyu Yang, 2014. "Bayesian Stochastic Search for the Best Predictors: Nowcasting GDP Growth," University of East Anglia Applied and Financial Economics Working Paper Series 056, School of Economics, University of East Anglia, Norwich, UK..
    34. Pinkwart, Nicolas, 2018. "Short-term forecasting economic activity in Germany: A supply and demand side system of bridge equations," Discussion Papers 36/2018, Deutsche Bundesbank.
    35. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 195-237, Elsevier.
    36. Tommaso Proietti & Alessandro Giovannelli, 2021. "Nowcasting monthly GDP with big data: A model averaging approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 683-706, April.
    37. Zhemkov, Michael, 2021. "Nowcasting Russian GDP using forecast combination approach," International Economics, Elsevier, vol. 168(C), pages 10-24.
    38. Schwarzmüller, Tim, 2015. "Model pooling and changes in the informational content of predictors: An empirical investigation for the euro area," Kiel Working Papers 1982, Kiel Institute for the World Economy (IfW Kiel).
    39. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    40. Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
    41. Takashi Nakazawa, 2022. "Constructing GDP Nowcasting Models Using Alternative Data," Bank of Japan Working Paper Series 22-E-9, Bank of Japan.
    42. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
    43. Tomas Adam & Filip Novotny, 2018. "Assessing the External Demand of the Czech Economy: Nowcasting Foreign GDP Using Bridge Equations," Working Papers 2018/18, Czech National Bank.
    44. Guido Bulligan & Fabio Busetti & Michele Caivano & Pietro Cova & Davide Fantino & Alberto Locarno & Lisa Rodano, 2017. "The Bank of Italy econometric model: an update of the main equations and model elasticities," Temi di discussione (Economic working papers) 1130, Bank of Italy, Economic Research and International Relations Area.
    45. Kyosuke Chikamatsu, Naohisa Hirakata, Yosuke Kido, Kazuki Otaka, 2018. "Nowcasting Japanese GDPs," Bank of Japan Working Paper Series 18-E-18, Bank of Japan.
    46. Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "News media vs. FRED-MD for macroeconomic forecasting," Working Papers No 08/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    47. Lorenzo Bencivelli & Massimiliano Marcellino & Gianluca Moretti, 2017. "Forecasting economic activity by Bayesian bridge model averaging," Empirical Economics, Springer, vol. 53(1), pages 21-40, August.
    48. Carluccio Bianchi & Alessandro Carta & Dean Fantazzini & Maria Elena De Giuli & Mario A. Maggi, 2009. "A Copula-VAR-X Approach for Industrial Production Modelling and Forecasting," Quaderni di Dipartimento 105, University of Pavia, Department of Economics and Quantitative Methods.
    49. Olivier Darne, 2008. "Using business survey in industrial and services sector to nowcast GDP growth:The French case," Economics Bulletin, AccessEcon, vol. 3(32), pages 1-8.
    50. Foroni, Claudia & Marcellino, Massimiliano, 2014. "A comparison of mixed frequency approaches for nowcasting Euro area macroeconomic aggregates," International Journal of Forecasting, Elsevier, vol. 30(3), pages 554-568.
    51. Joan Paredes & Javier J. Pérez & Gabriel Perez Quiros, 2023. "Fiscal targets. A guide to forecasters?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 472-492, June.
    52. Klaus Abberger, 2007. "Forecasting Quarter-on-Quarter Changes of German GDP with Monthly Business Tendency Survey Results," ifo Working Paper Series 40, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    53. Van Nieuwenhuyze, Christophe & Benk, Szilard & Rünstler, Gerhard & Cristadoro, Riccardo & Den Reijer, Ard & Jakaitiene, Audrone & Jelonek, Piotr & Rua, António & Ruth, Karsten & Barhoumi, Karim, 2008. "Short-term forecasting of GDP using large monthly datasets: a pseudo real-time forecast evaluation exercise," Occasional Paper Series 84, European Central Bank.
    54. David Kohns & Arnab Bhattacharjee, 2019. "Interpreting Big Data in the Macro Economy: A Bayesian Mixed Frequency Estimator," CEERP Working Paper Series 010, Centre for Energy Economics Research and Policy, Heriot-Watt University.
    55. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2010. "GDP nowcasting with ragged-edge data: a semi-parametric modeling," Post-Print halshs-00460461, HAL.
    56. Gustavo A. Marrero, 2004. "Component versus Tradicional Models to Forecast Quarterly National Account Aggregates: a Monte Carlo Experiment," Documentos de Trabajo del ICAE 0410, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    57. Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015. "Nowcasting Indonesia," ADB Economics Working Paper Series 471, Asian Development Bank.
    58. Heiner Mikosch & Laura Solanko, 2019. "Forecasting Quarterly Russian GDP Growth with Mixed-Frequency Data," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 19-35, March.
    59. Claudia FORONI & Massimiliano MARCELLINO, 2012. "A Comparison of Mixed Frequency Approaches for Modelling Euro Area Macroeconomic Variables," Economics Working Papers ECO2012/07, European University Institute.
    60. Tóth, Peter, 2014. "Malý dynamický faktorový model na krátkodobé prognózovanie slovenského HDP [A Small Dynamic Factor Model for the Short-Term Forecasting of Slovak GDP]," MPRA Paper 63713, University Library of Munich, Germany.
    61. Enrico D’Elia & Francesca Faedda & Giacomo Giannone, 2020. "Un modello statistico per il monitoraggio delle entrate tributarie (MoME)," Working Papers wp2020-5, Ministry of Economy and Finance, Department of Finance.
    62. Ba Chu & Shafiullah Qureshi, 2021. "Comparing Out-of-Sample Performance of Machine Learning Methods to Forecast U.S. GDP Growth," Carleton Economic Papers 21-12, Carleton University, Department of Economics.
    63. Raffaele Mattera & Michelangelo Misuraca & Maria Spano & Germana Scepi, 2023. "Mixed frequency composite indicators for measuring public sentiment in the EU," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2357-2382, June.
    64. Michael Pedersen, 2010. "Extracting GDP Signals From the Monthly Indicator of Economic Activity: Evidence From Chilean Real-Time Data," Working Papers Central Bank of Chile 595, Central Bank of Chile.
    65. Alexopoulos, Angelos & Varthalitis, Petros, 2023. "A machine learning approach to construct quarterly data on intangible investment for Eurozone," Economics Letters, Elsevier, vol. 231(C).
    66. Itkonen, Juha & Juvonen, Petteri, 2017. "Nowcasting the Finnish economy with a large Bayesian vector autoregressive model," BoF Economics Review 6/2017, Bank of Finland.
    67. Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2011. "Nowcasting GDP in real-time: A density combination approach," Working Paper 2011/11, Norges Bank.
    68. Elena Angelini & Marta Banbura & Gerhard Rünstler, 2010. "Estimating and forecasting the euro area monthly national accounts from a dynamic factor model," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(1), pages 1-22.
    69. Jos Jansen, W. & Jin, Xiaowen & Winter, Jasper M. de, 2016. "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," Munich Reprints in Economics 43488, University of Munich, Department of Economics.
    70. Konstantins Benkovskis, 2008. "Short-Term Forecasts of Latvia's Real Gross Domestic Product Growth Using Monthly Indicators," Working Papers 2008/05, Latvijas Banka.
    71. Aleksandra Riedl & Julia Wörz, 2018. "A simple approach to nowcasting GDP growth in CESEE economies," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/18, pages 56-74.
    72. Guido Bulligan & Massimiliano Marcellino & Fabrizio Venditti, 2012. "Forecasting economic activity with higher frequency targeted predictors," Temi di discussione (Economic working papers) 847, Bank of Italy, Economic Research and International Relations Area.
    73. Tony Chernis & Rodrigo Sekkel, 2017. "A dynamic factor model for nowcasting Canadian GDP growth," Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
    74. João B. Assunção & Pedro Afonso Fernandes, 2022. "Nowcasting GDP: An Application to Portugal," Forecasting, MDPI, vol. 4(3), pages 1-15, August.
    75. Stavros Degiannakis, 2023. "The D-model for GDP nowcasting," Working Papers 317, Bank of Greece.
    76. Bjørn Eraker & Ching Wai (Jeremy) Chiu & Andrew T. Foerster & Tae Bong Kim & Hernán D. Seoane, 2015. "Bayesian Mixed Frequency VARs," Journal of Financial Econometrics, Oxford University Press, vol. 13(3), pages 698-721.
    77. Matteo Luciani & Lorenzo Ricci, 2014. "Nowcasting Norway," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 215-248, December.
    78. Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.
    79. Alexander Chudik & Valerie Grossman & M. Hashem Pesaran, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization Institute Working Papers 213, Federal Reserve Bank of Dallas.
    80. G. Rünstler & K. Barhoumi & S. Benk & R. Cristadoro & A. Den Reijer & A. Jakaitiene & P. Jelonek & A. Rua & K. Ruth & C. Van Nieuwenhuyze, 2009. "Short-term forecasting of GDP using large datasets: a pseudo real-time forecast evaluation exercise," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(7), pages 595-611.
    81. Dominique Guegan & Patrick Rakotomarolahy, 2010. "A Short Note on the Nowcasting and the Forecasting of Euro-area GDP Using Non-Parametric Techniques," Post-Print halshs-00460472, HAL.
    82. Raul Ibarra & Luis M. Gomez-Zamudio, 2017. "Are Daily Financial Data Useful for Forecasting GDP? Evidence from Mexico," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 173-203, April.
    83. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2010. "GDP nowcasting with ragged-edge data: a semi-parametric modeling," PSE-Ecole d'économie de Paris (Postprint) halshs-00460461, HAL.
    84. Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    85. Domenico Giannone & Lucrezia Reichlin & David Small, 2008. "Nowcasting: the real time informational content of macroeconomic data releases," ULB Institutional Repository 2013/6409, ULB -- Universite Libre de Bruxelles.
    86. Boriss Siliverstovs, 2017. "Short-term forecasting with mixed-frequency data: a MIDASSO approach," Applied Economics, Taylor & Francis Journals, vol. 49(13), pages 1326-1343, March.
    87. Leif Anders Thorsrud, 2016. "Nowcasting using news topics. Big Data versus big bank," Working Paper 2016/20, Norges Bank.
    88. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    89. Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2022. "News media versus FRED‐MD for macroeconomic forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 63-81, January.
    90. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," PSE-Ecole d'économie de Paris (Postprint) halshs-00511979, HAL.
    91. Schumacher, Christian & Breitung, Jörg, 2008. "Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data," International Journal of Forecasting, Elsevier, vol. 24(3), pages 386-398.
    92. Chikamatsu, Kyosuke & Hirakata, Naohisa & Kido, Yosuke & Otaka, Kazuki, 2021. "Mixed-frequency approaches to nowcasting GDP: An application to Japan," Japan and the World Economy, Elsevier, vol. 57(C).
    93. Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
    94. Rueben Ellul & Germano Ruisi, 2022. "Nowcasting the Maltese economy with a dynamic factor model," CBM Working Papers WP/02/2022, Central Bank of Malta.
    95. Dominique Guegan & Patrick Rakotomarolahy, 2009. "The Multivariate k-Nearest Neighbor Model for Dependent Variables : One-Sided Estimation and Forecasting," Post-Print halshs-00423871, HAL.
    96. Stéphanie Guichard & Elena Rusticelli, 2011. "A Dynamic Factor Model for World Trade Growth," OECD Economics Department Working Papers 874, OECD Publishing.
    97. Diron, Marie, 2006. "Short-term forecasts of euro area real GDP growth: an assessment of real-time performance based on vintage data," Working Paper Series 622, European Central Bank.
    98. Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
    99. Giuseppe Parigi & Roberto Golinelli, 2007. "The use of monthly indicators to forecast quarterly GDP in the short run: an application to the G7 countries," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(2), pages 77-94.
    100. Michael Graff & Dominik Studer, 2018. "Konstruktion von Sammelindikatoren für den Konjunkturverlauf bei prekärer Datenlage am Beispiel Montenegros," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 12(3), pages 81-91, October.
    101. Roberto Golinelli & Giuseppe Parigi, 2003. "What is this thing called confidence? A comparative analysis of consumer confidence indices in eight major countries," Temi di discussione (Economic working papers) 484, Bank of Italy, Economic Research and International Relations Area.
    102. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    103. Andrea Giovanni Gazzani & Alejandro Vicondoa, 2019. "Proxy-SVAR as a Bridge for Identification with Higher Frequency Data," 2019 Meeting Papers 855, Society for Economic Dynamics.
    104. Parigi, Giuseppe & Golinelli, Roberto, 2005. "Short-Run Italian GDP Forecasting and Real-Time Data," CEPR Discussion Papers 5302, C.E.P.R. Discussion Papers.
    105. Stefan Neuwirth, 2017. "Time-varying mixed frequency forecasting: A real-time experiment," KOF Working papers 17-430, KOF Swiss Economic Institute, ETH Zurich.
    106. Tretyakov, Dmitriy & Fokin, Nikita, 2020. "Помогают Ли Высокочастотные Данные В Прогнозировании Российской Инфляции? [Does the high-frequency data is helpful for forecasting Russian inflation?]," MPRA Paper 109556, University Library of Munich, Germany.
    107. José Casals Carro & Miguel Jerez Méndez & Sonia Sotoca López, 2006. "Modelling an forecasting time series sampled at different frequencies," Documentos de Trabajo del ICAE 0603, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    108. Alessandro Giovannelli & Marco Lippi & Tommaso Proietti, 2023. "Band-Pass Filtering with High-Dimensional Time Series," CEIS Research Paper 559, Tor Vergata University, CEIS, revised 15 Jun 2023.
    109. Konstantin Kuck & Karsten Schweikert, 2021. "Forecasting Baden‐Württemberg's GDP growth: MIDAS regressions versus dynamic mixed‐frequency factor models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 861-882, August.
    110. Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.
    111. Golinelli, Roberto & Parigi, Giuseppe, 2008. "Real-time squared: A real-time data set for real-time GDP forecasting," International Journal of Forecasting, Elsevier, vol. 24(3), pages 368-385.
    112. Kamel Jlassi, 2015. "Modelling and Forecasting of Tunisian Current Account: Aggregate versus Disaggregate Approach," IHEID Working Papers 13-2015, Economics Section, The Graduate Institute of International Studies.
    113. Martin Feldkircher & Florian Huber & Josef Schreiner & Julia Woerz & Marcel Tirpak & Peter Toth, 2015. "Small-scale nowcasting models of GDP for selected CESEE countries," Working and Discussion Papers WP 4/2015, Research Department, National Bank of Slovakia.
    114. Mihaela SIMIONESCU, 2015. "Is Africa’s current growth reducing inequality? Evidence from some selected african countries," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 3(1), pages 68-74, June.
    115. Jiayi Luo & Cindy Long Yu, 2021. "Determining Number of Factors in Dynamic Factor Models Contributing to GDP Nowcasting," Mathematics, MDPI, vol. 9(22), pages 1-23, November.
    116. David Iselin & Boriss Siliverstovs, 2016. "Using newspapers for tracking the business cycle: a comparative study for Germany and Switzerland," Applied Economics, Taylor & Francis Journals, vol. 48(12), pages 1103-1118, March.
    117. Francisco Blasques & Siem Jan Koopman & Max Mallee, 2014. "Low Frequency and Weighted Likelihood Solutions for Mixed Frequency Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-105/III, Tinbergen Institute.
    118. Pirschel, Inske, 2016. "Forecasting euro area recessions in real-time," Kiel Working Papers 2020, Kiel Institute for the World Economy (IfW Kiel).
    119. Katerina Arnostova & David Havrlant & Luboš Rùžièka & Peter Tóth, 2011. "Short-Term Forecasting of Czech Quarterly GDP Using Monthly Indicators," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(6), pages 566-583, December.
    120. Christiana Anaxagorou & Nicoletta Pashourtidou, 2022. "Forecasting economic activity using preselected predictors: the case of Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 16(1), pages 11-36, June.
    121. Alessandro Borin & Riccardo Cristadoro & Roberto Golinelli & Giuseppe Parigi, 2012. "Forecasting world output: the rising importance of emerging economies," Temi di discussione (Economic working papers) 853, Bank of Italy, Economic Research and International Relations Area.
    122. Marie Diron, 2008. "Short-term forecasts of euro area real GDP growth: an assessment of real-time performance based on vintage data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 371-390.
    123. Proietti, Tommaso & Giovannelli, Alessandro & Ricchi, Ottavio & Citton, Ambra & Tegami, Christían & Tinti, Cristina, 2021. "Nowcasting GDP and its components in a data-rich environment: The merits of the indirect approach," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1376-1398.
    124. Laurent Ferrara & Dominique Guegan & Patrick Rakotomarolahy, 2009. "GDP nowcasting with ragged-edge data : A semi-parametric modelling," Post-Print halshs-00344839, HAL.
    125. Gálvez-Soriano Oscar de Jesús, 2018. "Nowcasting Mexican GDP using Factor Models and Bridge Equations," Working Papers 2018-06, Banco de México.
    126. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting monthly industrial production in real-time: from single equations to factor-based models," Empirical Economics, Springer, vol. 39(2), pages 303-336, October.
    127. Abdić Ademir & Resić Emina & Abdić Adem & Rovčanin Adnan, 2020. "Nowcasting GDP of Bosnia and Herzegovina: A Comparison of Forecast Accuracy Models," South East European Journal of Economics and Business, Sciendo, vol. 15(2), pages 1-14, December.
    128. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    129. Rudrani Bhattacharya & Bornali Bhandari & Sudipto Mundle, 2023. "Nowcasting India’s Quarterly GDP Growth: A Factor-Augmented Time-Varying Coefficient Regression Model (FA-TVCRM)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 213-234, March.
    130. Olivier BIAU & Angela D´ELIA, 2010. "Euro Area GDP Forecast Using Large Survey Dataset - A Random Forest Approach," EcoMod2010 259600029, EcoMod.
    131. Pirschel, Inske, 2015. "Forecasting Euro Area Recessions in real-time with a mixed-frequency Bayesian VAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113031, Verein für Socialpolitik / German Economic Association.
    132. Barhoumi, K. & Brunhes-Lesage, V. & Darné, O. & Ferrara, L. & Pluyaud, B. & Rouvreau, B., 2008. "Monthly forecasting of French GDP: A revised version of the OPTIM model," Working papers 222, Banque de France.
    133. Guerrero Víctor M. & García Andrea C. & Sainz Esperanza, 2013. "Rapid Estimates of Mexico’s Quarterly GDP," Journal of Official Statistics, Sciendo, vol. 29(3), pages 397-423, June.
    134. Omer ZEYBEK & Erginbay UGURLU, 2014. "Nowcasting Credit Demand in Turkey with Google Trends Data," International Conference on Economic Sciences and Business Administration, Spiru Haret University, vol. 1(1), pages 333-340, December.
    135. Gustavo A. Marrero, 2007. "Traditional versus unobserved components methods to forecast quarterly national account aggregates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(2), pages 129-153.
    136. Martin Feldkircher & Florian Huber & Josef Schreiner & Marcel Tirpák & Peter Tóth & Julia Wörz, 2015. "Bridging the information gap: small-scale nowcasting models of GDP growth for selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 56-75.
    137. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," Post-Print halshs-00511979, HAL.
    138. Barhoumi, K. & Brunhes-Lesage, V. & Ferrara, L. & Pluyaud, B. & Rouvreau, B. & Darné, O., 2008. "OPTIM: a quarterly forecasting tool for French GDP," Quarterly selection of articles - Bulletin de la Banque de France, Banque de France, issue 13, pages 31-47, Autumn.
    139. Antonio Musa, 2022. "Nowcasting Bosnia and Herzegovina GDP in Real Time," IHEID Working Papers 08-2022, Economics Section, The Graduate Institute of International Studies.
    140. Wegmüller, Philipp & Glocker, Christian & Guggia, Valentino, 2023. "Weekly economic activity: Measurement and informational content," International Journal of Forecasting, Elsevier, vol. 39(1), pages 228-243.
    141. Dominique Guegan & Patrick Rakotomarolahy, 2010. "A Short Note on the Nowcasting and the Forecasting of Euro-area GDP Using Non-Parametric Techniques," PSE-Ecole d'économie de Paris (Postprint) halshs-00460472, HAL.
    142. Sebastian Ankargren & Måns Unosson & Yukai Yang, 2018. "A mixed-frequency Bayesian vector autoregression with a steady-state prior," CREATES Research Papers 2018-32, Department of Economics and Business Economics, Aarhus University.
    143. Dirk Drechsel & Stefan Neuwirth, 2016. "Taming volatile high frequency data with long lag structure: An optimal filtering approach for forecasting," KOF Working papers 16-407, KOF Swiss Economic Institute, ETH Zurich.
    144. Anna Norin, 2011. "Nowcasting of the Gross Regional Product," ERSA conference papers ersa10p768, European Regional Science Association.
    145. Smith Paul, 2016. "Nowcasting UK GDP during the depression," Working Papers 1606, University of Strathclyde Business School, Department of Economics.
    146. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.
    147. Mr. Troy D Matheson, 2011. "New Indicators for Tracking Growth in Real Time," IMF Working Papers 2011/043, International Monetary Fund.
    148. Dominique Guegan & Patrick Rakotomarolahy, 2010. "A short note on the nowcasting and the forecasting of Euro-area GDP using non-parametric techniques," Post-Print halshs-00461711, HAL.
    149. Giacomo Sbrana, 2007. "Testing for Model Selection in Predicting Aggregate Variables," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(1), pages 3-28, March.
    150. Mahmut Gunay, 2020. "Nowcasting Turkish GDP with MIDAS: Role of Functional Form of the Lag Polynomial," Working Papers 2002, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    151. Wichitaksorn, Nuttanan, 2022. "Analyzing and forecasting Thai macroeconomic data using mixed-frequency approach," Journal of Asian Economics, Elsevier, vol. 78(C).
    152. Bulligan, Guido & Marcellino, Massimiliano & Venditti, Fabrizio, 2015. "Forecasting economic activity with targeted predictors," International Journal of Forecasting, Elsevier, vol. 31(1), pages 188-206.
    153. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," Post-Print halshs-00505165, HAL.
    154. Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.

  24. Roberto Golinelli & Giuseppe Parigi, 2004. "Consumer Sentiment and Economic Activity: A Cross Country Comparison," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(2), pages 147-170.

    Cited by:

    1. Blanka Škrabić Perić & Petar Sorić, 2018. "A Note on the “Economic Policy Uncertainty Index”," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(2), pages 505-526, June.
    2. Jang, Tae-Seok & Sacht, Stephen, 2017. "Modeling consumer confidence and its role for expectation formation: A horse race," Economics Working Papers 2017-04, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Christopher D. Carroll & Jiri Slacalek & Martin Sommer, 2008. "International Evidence On Sticky Consumption Growth," Economics Working Paper Archive 542, The Johns Hopkins University,Department of Economics.
    4. Aneta M. Klopocka & Rumiana Gorska, 2021. "Forecasting Household Saving Rate with Consumer Confidence Indicator and its Components: Panel Data Analysis of 14 European Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 874-898.
    5. Ivana Lolić & Marija Logarušić & Mirjana Čižmešija, 2022. "Recent Revision of the European Consumer Confidence Indicator: Is There any additional Space for Improvement?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(3), pages 845-863, February.
    6. Heinisch, Katja & Lindner, Axel, 2021. "Economic sentiment: Disentangling private information from public knowledge," IWH Discussion Papers 15/2021, Halle Institute for Economic Research (IWH).
    7. Deimante Teresiene & Greta Keliuotyte-Staniuleniene & Yiyi Liao & Rasa Kanapickiene & Ruihui Pu & Siyan Hu & Xiao-Guang Yue, 2021. "The Impact of the COVID-19 Pandemic on Consumer and Business Confidence Indicators," JRFM, MDPI, vol. 14(4), pages 1-23, April.
    8. Paradiso, Antonio & Kumar, Saten & Margani, Patrizia, 2014. "Are Italian consumer confidence adjustments asymmetric? A macroeconomic and psychological motives approach," Journal of Economic Psychology, Elsevier, vol. 43(C), pages 48-63.
    9. Jesús Tomás Monge Moreno & Manuel Monge, 2023. "Coronavirus, Vaccination and the Reaction of Consumer Sentiment in The United States: Time Trends and Persistence Analysis," Mathematics, MDPI, vol. 11(8), pages 1-8, April.
    10. 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.
    11. Petar Soric & Mateo Zokalj & Marija Logarusic, 2020. "Economic determinants of Croatian consumer confidence: real estate prices vs. macroeconomy," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 18(2B), pages 240-257.
    12. Bahram Adrangi & Joseph Macri, 2011. "Consumer Confidence and Aggregate Consumption Expenditures in the United States," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 1-18, February.
    13. Petar Sorić & Blanka Škrabić Perić & Marina Matošec, 2022. "Breaking new grounds: a fresh insight into the leading properties of business and consumer survey indicators," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4511-4535, December.
    14. Hatice Gökçe Karasoy Can & Çağlar Yüncüler, 2018. "The Explanatory Power and the Forecast Performance of Consumer Confidence Indices for Private Consumption Growth in Turkey," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(9), pages 2136-2152, July.
    15. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2007. "Consumer confidence in Europe : United in diversity," Other publications TiSEM ea8c3268-2c0b-4fcc-9d4a-6, Tilburg University, School of Economics and Management.
    16. Aloisio Campelo & Viviane Seda Bittencourt & Marco Malgarini, 2020. "Consumers Confidence and Households Consumption in Brazil: Evidence from the FGV Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(1), pages 19-34, April.
    17. Nowzohour, Laura & Stracca, Livio, 2017. "More than a feeling: confidence, uncertainty and macroeconomic fluctuations," Working Paper Series 2100, European Central Bank.
    18. Kajal Lahiri & Yongchen Zhao, 2016. "Determinants of Consumer Sentiment over Business Cycles: Evidence from the U.S. Surveys of Consumers," Working Papers 2016-14, Towson University, Department of Economics, revised Jul 2016.
    19. Chiara Assunta Ricci, 2016. "Perceived Social Position and Objective Inequality: Do They Move Together? Evidence from Europe and the United States," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 2(3), pages 281-303, November.
    20. Lee, Seohyun, 2017. "Three essays on uncertainty: real and financial effects of uncertainty shocks," MPRA Paper 83617, University Library of Munich, Germany.
    21. Ece Oral & Turknur Brand, 2014. "Consumer Tendency Survey of Turkey : A Disaggregated Analysis," Working Papers 1432, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    22. Mehmet Aydın & Yunus Emre Turan, 2020. "Türkiye’de Ekonomik Güven Büyümeyi Etkiliyor mu? RALS Birim Kök ve Eşbütünleşme Yaklaşımı," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(32), pages 69-83, June.
    23. Petar Sorić, 2018. "Consumer confidence as a GDP determinant in New EU Member States: a view from a time-varying perspective," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(2), pages 261-282, May.
    24. Flora Fullone & Bianca Maria Martelli, 2008. "Re-thinking the ISAE Consumer Survey Processing Procedure," ISAE Working Papers 92, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    25. Łukasz Gębski, 2021. "The Impact of the Crisis Triggered by the COVID-19 Pandemic and the Actions of Regulators on the Consumer Finance Market in Poland and Other European Union Countries," Risks, MDPI, vol. 9(6), pages 1-15, June.
    26. Hatice Gokce Karasoy, 2015. "Consumer Confidence Indices and Financial Volatility," CBT Research Notes in Economics 1516, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    27. Gerunov, Anton, 2013. "Връзка Между Икономическите Очаквания И Стопанската Динамика В Ес-27 [Linkages Between Expectations and Economic Dynamics in EU-27]," MPRA Paper 68795, University Library of Munich, Germany.
    28. Piotr Białowolski, 2015. "Concepts of Confidence in Tendency Survey Research: An Assessment with Multi-group Confirmatory Factor Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(1), pages 281-302, August.
    29. Giuseppe Parigi & Roberto Golinelli, 2007. "The use of monthly indicators to forecast quarterly GDP in the short run: an application to the G7 countries," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(2), pages 77-94.
    30. Abildgren, Kim & Hansen, Niels Lynggård & Kuchler, Andreas, 2018. "Overoptimism and house price bubbles," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 1-14.
    31. James A Wilcox, 2015. "The Home Purchase Sentiment Index: A New Housing Indicator," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 50(4), pages 178-190, October.
    32. Giammanco, Maria Daniela & Gitto, Lara, 2020. "Government measures and economic activity during the COVID-19 outbreak: some preliminary short-term evidence from Europe," MPRA Paper 105072, University Library of Munich, Germany.
    33. 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.
    34. John Khumalo, 2014. "Consumer Spending and Consumer Confidence in South Africa: Cointegration Analysis," Journal of Economics and Behavioral Studies, AMH International, vol. 6(2), pages 95-104.
    35. Pablo Castellanos García & Indalecio Pérez Díaz del Río & Jose Manuel Sanchez-Santos, 2014. "The role of confidence in the evolution of the Spanish economy: empirical evidence from an ARDL model," European Journal of Government and Economics, Europa Grande, vol. 3(2), pages 148-161, December.
    36. Chiara Assunta Ricci, 2016. "Perceived Social Position and Income Inequality: Do They Move Together? Evidence from Europe and the United States," LIS Working papers 667, LIS Cross-National Data Center in Luxembourg.
    37. E. Kilic & S. Cankaya, 2016. "Consumer confidence and economic activity: a factor augmented VAR approach," Applied Economics, Taylor & Francis Journals, vol. 48(32), pages 3062-3080, July.
    38. Marco Malgarini & Patrizia Margani, 2005. "Psychology, consumer sentiment and household expenditures: a disaggregated analysis," ISAE Working Papers 58, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    39. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2005. "The European Consumer: United In Diversity?," ERIM Report Series Research in Management ERS-2005-022-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    40. S. Heravi & J. Easaw & R. Golinelli, 2016. "Generalized State-Dependent Models: A Multivariate Approach," Working Papers wp1067, Dipartimento Scienze Economiche, Universita' di Bologna.
    41. Rossi, José Luiz J. & Laban, Sílvio A. Neto & Claro, Danny Pimentel & Bolzani, Luciana Corrêa, 2009. "Índice de Confiança do Empresário de Pequenos e Médios Negócios no Brasil (IC-PMN): Desenvolvimento e Consolidação," Insper Working Papers wpe_191, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    42. Zhaochen He, 2017. "The Contractionary Effect of Bad Economic News," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(6), pages 1339-1384, September.
    43. Claro, Danny P & Júnior, José L. R. & Laban Neto, Sílvio A. & Lucci, Cíntia R. & Bolzani, Luciana C. & Carvalho, Marina D. de, 2009. "Índice de Confiança do Empresário de Pequenos e Médios Negócios no Brasil (IC-PMN): Metodologia e Resultados Preliminares," Insper Working Papers wpe_158, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    44. Kumar, Sunil & Husain, Zakir & Mukherjee, Diganta, 2017. "Assessing consistency of consumer confidence data using latent class analysis with time factor," Economic Analysis and Policy, Elsevier, vol. 55(C), pages 35-46.

  25. Roberto Golinelli & Riccardo Rovelli, 2002. "Painless disinflation? Monetary policy rules in Hungary, 1991‐99," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 10(1), pages 55-91.

    Cited by:

    1. Orlowski, Lucjan T., 2004. "Exchange rate risk and convergence to the Euro," ZEI Working Papers B 25-2004, University of Bonn, ZEI - Center for European Integration Studies.
    2. Orlowski, Lucjan T., 2001. "Monetary convergence of the EU candidates to the Euro: A theoretical framework and policy implications," ZEI Working Papers B 25-2001, University of Bonn, ZEI - Center for European Integration Studies.
    3. Orlowski, Lucjan T., 2004. "Money rules for the eurozone candidate countries," ZEI Working Papers B 05-2004, University of Bonn, ZEI - Center for European Integration Studies.
    4. Golinelli, Roberto & Rovelli, Riccardo, 2005. "Monetary policy transmission, interest rate rules and inflation targeting in three transition countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 183-201, January.
    5. Orlowski, Lucjan T., 2005. "Monetary convergence of the EU accession countries to the eurozone: A theoretical framework and policy implications," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 203-225, January.
    6. Vinhas de Souza, Lúcio & Ledrut, Elisabeth, 2002. "Alternative Paths Towards EMU: Lessons from an Expanded Mundell-Fleming Model for the Accession Countries," Kiel Working Papers 1132, Kiel Institute for the World Economy (IfW Kiel).
    7. Rimal, N.S. & Kumar, S. & Singh, D.R. & Chahal, V.P. & Shaloo, 2015. "Sources of Growth in Pulses Production in India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 28(1).
    8. Federico Sturzenegger, 2019. "Macri´s Macro: The meandering road to stability and growth," Working Papers 135, Universidad de San Andres, Departamento de Economia, revised Oct 2019.

  26. Fabio Bagliano & Roberto Golinelli & Claudio Morana, 2002. "Core inflation in the Euro area," Applied Economics Letters, Taylor & Francis Journals, vol. 9(6), pages 353-357.

    Cited by:

    1. Claudio Morana, 2007. "A structural common factor approach to core inflation estimation and forecasting," Applied Economics Letters, Taylor & Francis Journals, vol. 14(3), pages 163-169.
    2. Claudio Morana & Fabio Cesare Bagliano, 2007. "Inflation and monetary dynamics in the USA: a quantity-theory approach," Applied Economics, Taylor & Francis Journals, vol. 39(2), pages 229-244.
    3. Martha Misas A>rango & Enrique López Enciso & Juana Téllez Corredor & José Fernando Escobar Restrepo, 2005. "La Inflación Subyacente En Colombia: Un Enfoque De Tendencias Estocásticas Comunes Asociadas A Un Vec Estructural," Borradores de Economia 3026, Banco de la Republica.
    4. Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research and International Relations Area.
    5. José Fernando Escobar R. & Carlos Esteban Posada P., 2005. "Dinero, precios, tasa de interés y actividad económica: un modelo del caso colombiano 1984:I-2003:IV," Monetaria, CEMLA, vol. 0(1), pages 1-34, enero-mar.
    6. José Fernando Escobar R. & Carlos Esteban Posada P., 2004. "Dinero, Precios, Tasa de Interés y Actividad Económica: Un Modelo del Caso Colombiano," Borradores de Economia 303, Banco de la Republica de Colombia.
    7. Giuseppe Ferrero & Andrea Nobili & Patrizia Passiglia, 2011. "Assessing excess liquidity in the euro area: the role of sectoral distribution of money," Applied Economics, Taylor & Francis Journals, vol. 43(23), pages 3213-3230.
    8. Rapacciuolo, Ciro, 2003. "Un semplice modello univariato per la previsione a breve termine dell'inflazione italiana [A simple model for the short term forecasting of Italian inflation]," MPRA Paper 7714, University Library of Munich, Germany.
    9. International Monetary Fund, 2005. "Inflation Targeting and Output Growth: Empirical Evidence for the European Union," IMF Working Papers 2005/089, International Monetary Fund.
    10. Fabio DI DIO & Francesco FELICI, 2009. "Estimating Core Inflation In Norway," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(3(9)_Fall).
    11. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "La tasa de cambio real de equilibrio en Colombia y su desalineamiento: estimación a través de un modelo SVEC," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 26(57), pages 282-319, December.
    12. Stefano Siviero & Giovanni Veronese, 2007. "A policy-sensible core-inflation measure for the euro area," Temi di discussione (Economic working papers) 617, Bank of Italy, Economic Research and International Relations Area.
    13. Stefano Siviero & Giovanni Veronese, 2011. "A policy-sensible benchmark core inflation measure," Oxford Economic Papers, Oxford University Press, vol. 63(4), pages 648-672, December.
    14. Riccardo Cristadoro & Mario Forni & Lucrezia Reichlin & Giovanni Veronese, 2001. "A core inflation index for the euro area," Temi di discussione (Economic working papers) 435, Bank of Italy, Economic Research and International Relations Area.
    15. Maria Arrazola & Jose de Hevia, 2008. "A simple inflation indicator for the euro zone," Applied Economics, Taylor & Francis Journals, vol. 40(18), pages 2387-2394.
    16. Eliana R. González-Molano & Ramón Hernández-Ortega & Edgar Caicedo-García & Nicolás Martínez-Cortés & Jose Vicente Romero & Anderson Grajales-Olarte, 2020. "Nueva Clasificación del BANREP de la Canasta del IPC y revisión de las medidas de Inflación Básica en Colombia," Borradores de Economia 1122, Banco de la Republica de Colombia.
    17. Mick Silver, 2006. "Core Inflation Measures and Statistical Issues in Choosing Among Them," IMF Working Papers 2006/097, International Monetary Fund.
    18. Roberto Golinelli & Sergio Pastorello, 2002. "Modelling the demand for M3 in the Euro area," The European Journal of Finance, Taylor & Francis Journals, vol. 8(4), pages 371-401.
    19. Mariano Matilla-Garcia, 2005. "A SVAR model for estimating core inflation in the Euro zone," Applied Economics Letters, Taylor & Francis Journals, vol. 12(3), pages 149-154.
    20. Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.
    21. Melisso Boschi & Alessandro Girardi, 2005. "Euro Area inflation: long-run determinants and short-run dynamics," ISAE Working Papers 60, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    22. Nicholas Apergis & Stephen M. Miller & Alexandros Panethimitakis & Athanassios Vamvakidis, 2005. "Inflation Targeting and Output Growth: Evidence from Aggregate European Data," Working papers 2005-06, University of Connecticut, Department of Economics.
    23. Norberto Rodríguez-Niño & Alejandra Ramírez-Ramírez, 2018. "Metodologías semi-estructurales para estimar la Inflación básica mensual en Colombia," Borradores de Economia 1040, Banco de la Republica de Colombia.

  27. Roberto Golinelli & Sergio Pastorello, 2002. "Modelling the demand for M3 in the Euro area," The European Journal of Finance, Taylor & Francis Journals, vol. 8(4), pages 371-401.

    Cited by:

    1. Christian Dreger & Jürgen Wolters, 2010. "M3 money demand and excess liquidity in the euro area," Public Choice, Springer, vol. 144(3), pages 459-472, September.
    2. De Santis, Roberto A. & Favero, Carlo A. & Roffia, Barbara, 2008. "Euro area money demand and international portfolio allocation: a contribution to assessing risks to price stability," Working Paper Series 926, European Central Bank.
    3. Heather M. Anderson & Mardi Dungey & Denise R Osborn & Farshid Vahid, 2010. "Financial Integration and the Construction of Historical Financial Data for the Euro Area," Centre for Growth and Business Cycle Research Discussion Paper Series 152, Economics, The University of Manchester.
    4. Helmut Lütkepohl & Ralf Brüggemann, 2006. "A small monetary system for the euro area based on German data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 683-702.
    5. Mr. Helge Berger & Mr. Thomas Harjes & Mr. Emil Stavrev, 2008. "The ECB’s Monetary Analysis Revisited," IMF Working Papers 2008/171, International Monetary Fund.
    6. Carstensen, Kai & Gern, Klaus-Jürgen & Kamps, Christophe & Scheide, Joachim, 2003. "Euroland: Stagnation wird allmählich überwunden," Open Access Publications from Kiel Institute for the World Economy 3081, Kiel Institute for the World Economy (IfW Kiel).
    7. Fredj Jawadi & Ricardo M. Sousa, 2012. "Money Demand in the euro area, the US and the UK:Assessing the Role of Nonlinearity," NIPE Working Papers 22/2012, NIPE - Universidade do Minho.
    8. Carstensen, Kai, 2004. "Is European Money Demand Still Stable?," Kiel Working Papers 1179, Kiel Institute for the World Economy (IfW Kiel).
    9. Oliver Holtemöller, 2004. "A monetary vector error correction model of the Euro area and implications for monetary policy," Empirical Economics, Springer, vol. 29(3), pages 553-574, September.
    10. Clemens Kool & Erik de Regt & Tom van Veen, 2013. "Money Overhang, Credit Overhang and Financial Imbalances in the Euro Area," CESifo Working Paper Series 4476, CESifo.
    11. Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research and International Relations Area.
    12. Jonathan Benchimol & André Fourçans, 2010. "Money and risk aversion in a DSGE framework: a Bayesian application to the Euro zone," Working Papers hal-00800082, HAL.
    13. Haider, Adnan & Jan, Asad & Hyder, Kalim, 2012. "On the (IR) Relevance of Monetary Aggregate Targeting in Pakistan: An Eclectic View," MPRA Paper 43422, University Library of Munich, Germany.
    14. Roberto Santis, 2015. "Quantity theory is alive: the role of international portfolio shifts," Empirical Economics, Springer, vol. 49(4), pages 1401-1430, December.
    15. Alfonso Arpaia & Alessandro Turrini, 2008. "Government expenditure and economic growth in the EU: long-run tendencies and short-term adjustment," European Economy - Economic Papers 2008 - 2015 300, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    16. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable?: Cointegrated VAR versus Single Equation Techniques," Discussion Papers of DIW Berlin 982, DIW Berlin, German Institute for Economic Research.
    17. Carstensen, Kai, 2006. "Stock market downswing and the stability of European monetary union money demand," Munich Reprints in Economics 19940, University of Munich, Department of Economics.
    18. Bruggeman, Annick & Donati, Paola & Warne, Anders, 2003. "Is the demand for euro area M3 stable?," Working Paper Series 255, European Central Bank.
    19. Kai Carstensen & Jan Hagen & Oliver Hossfeld & Abelardo Salazar Neaves, 2008. "Money Demand Stability and Inflation Prediction in the Four Largest EMU Countries," ifo Working Paper Series 61, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    20. de Bondt, Gabe, 2009. "Euro area money demand: empirical evidence on the role of equity and labour markets," Working Paper Series 1086, European Central Bank.
    21. Lecarpentier-Moyal, Sylvie & Renou-Maissant, Patricia, 2007. "Analyse dynamique de la convergence des comportements de demande de monnaie en Europe," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(3), pages 321-357, septembre.
    22. Christian Dreger & Jürgen Wolters, 2007. "Instabile Geldnachfrage im Euroraum?," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 76(4), pages 85-95.
    23. Daniele, Vittorio & Foresti, Pasquale & Napolitano, Oreste, 2017. "The stability of money demand in the long-run: Italy 1861–2011," LSE Research Online Documents on Economics 67219, London School of Economics and Political Science, LSE Library.
    24. Christian Dreger & Dieter Gerdesmeier & Barbara Roffia, 2016. "Re-vitalizing Money Demand in the Euro Area: Still Valid at the Zero Lower Bound," Discussion Papers of DIW Berlin 1606, DIW Berlin, German Institute for Economic Research.
    25. Carstensen, Kai & Gern, Klaus-Jürgen & Kamps, Christophe & Scheide, Joachim, 2003. "Gradual recovery in Euroland," Kiel Discussion Papers 405, Kiel Institute for the World Economy (IfW Kiel).
    26. ALBULESCU, Claudiu Tiberiu & Pepin, Dominique, 2018. "Monetary Integration, Money-Demand Stability, and the Role of Monetary Overhang in Forecasting Inflation in CEE Countries," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 33(4), pages 841-879.
    27. Matteo Barigozzi & Antonio Conti, 2013. "On the Stability of Euro Area Money Demand and its Implications for Monetary Policy," LEM Papers Series 2013/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    28. Christian Dreger & Jürgen Wolters, 2008. "Money Velocity and Asset Prices in the Euro Area," Working Paper / FINESS 7.1b, DIW Berlin, German Institute for Economic Research.
    29. Sylvie Lecarpentier-Moyal & Patricia Renou-Maissant, 2007. "Analyse dynamique de la convergence des comportements de demande de monnaie en Europe," Post-Print halshs-00256488, HAL.
    30. Berger, Helge & Harjes, Thomas & Stavrev, Emil, 2008. "The ECB's monetary analysis revisited," Discussion Papers 2008/14, Free University Berlin, School of Business & Economics.
    31. Mr. Joaquim Vieira Ferreira Levy & Mr. Alessandro Calza & Mr. Dieter Gerdesmeier, 2001. "Euro Area Money Demand: Measuring the Opportunity Costs Appropriately," IMF Working Papers 2001/179, International Monetary Fund.
    32. Arnold, Ivo J.M. & Roelands, Sebastian, 2010. "The demand for euros," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 674-684, June.
    33. Gabe J. De Bondt, 2010. "New Evidence On The Motives For Holding Euro Area Money," Manchester School, University of Manchester, vol. 78(3), pages 259-278, June.
    34. Dreger, Christian & Wolters, Jürgen, 2010. "Investigating M3 money demand in the euro area," Journal of International Money and Finance, Elsevier, vol. 29(1), pages 111-122, February.
    35. Giacomo Sbrana, 2008. "On the use of area-wide models in the Euro-zone," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(4), pages 499-518, October.
    36. Ebadi, Esmaeil, 2018. "On the Effect of Government Spending on Money Demand in the United States: An ARDL Cointegration Approach," MPRA Paper 86399, University Library of Munich, Germany.
    37. Nautz, Dieter & Ruth, Karsten, 2005. "Monetary disequilibria and the Euro/Dollar exchange rate," Discussion Paper Series 1: Economic Studies 2005,18, Deutsche Bundesbank.
    38. Petrevski, Goran & Jovanovski, Kiril, 2010. "Demand for money in Macedonia," SEER Journal for Labour and Social Affairs in Eastern Europe, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 13(1), pages 121-136.
    39. Mike Artis & Andreas Beyer, 2004. "Issues in Money Demand: The Case of Europe," Journal of Common Market Studies, Wiley Blackwell, vol. 42(4), pages 717-736, November.
    40. Brand, Claus & Gerdesmeier, Dieter & Roffia, Barbara, 2002. "Estimating the trend of M3 income velocity underlying the reference value for monetary growth," Occasional Paper Series 3, European Central Bank.
    41. Sousa, Ricardo M., 2010. "Housing wealth, financial wealth, money demand and policy rule: Evidence from the euro area," The North American Journal of Economics and Finance, Elsevier, vol. 21(1), pages 88-105, March.
    42. Jiranyakul, Komain & Opiela, Timothy, 2014. "An Empirical Test of Money Demand in Thailand from 1993 to 2012," MPRA Paper 54162, University Library of Munich, Germany.
    43. Fabio Bagliano & Roberto Golinelli & Claudio Morana, 2002. "Core inflation in the Euro area," Applied Economics Letters, Taylor & Francis Journals, vol. 9(6), pages 353-357.
    44. Calza, Alessandro & Sousa, João, 2003. "Why has broad money demand been more stable in the euro area than in other economies? A literature review," Working Paper Series 261, European Central Bank.
    45. Ivo J. M. Arnold, 2022. "Monetary overhang in times of covid: evidence from the euro area," Applied Economics, Taylor & Francis Journals, vol. 54(35), pages 4030-4042, July.
    46. Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.
    47. Avouyi-Dovi, S. & Diop, A. & Fonteny, E-C. & Gervais, E. & Jacquinot, P. & Mésonnier, J-S. & Sahuc, J-G., 2003. "Estimation d’une fonction de demande de monnaie pour la zone euro : une synthèse des résultats," Bulletin de la Banque de France, Banque de France, issue 111, pages 47-72.
    48. Giacomo Sbrana, 2007. "Testing for Model Selection in Predicting Aggregate Variables," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(1), pages 3-28, March.
    49. Christian Dreger & Jürgen Wolters, 2006. "Investigating M3 Money Demand in the Euro Area: New Evidence Based on Standard Models," Discussion Papers of DIW Berlin 561, DIW Berlin, German Institute for Economic Research.

  28. Golinelli, Roberto & Orsi, Renzo, 2000. "Testing for Structural Change in Cointegrated Relationships: Analysis of Price-Wages Models for Poland and Hungary," Economic Change and Restructuring, Springer, vol. 33(1-2), pages 19-51.
    See citations under working paper version above.
  29. Giuseppe Parigi & Roberto Golinelli & Giorgio Bodo, 2000. "Forecasting industrial production in the Euro area," Empirical Economics, Springer, vol. 25(4), pages 541-561.
    See citations under working paper version above.
  30. Golinelli, Roberto & Orsi, Renzo, 1998. "Exchange Rate, Inflation and Unemployment in East European Economies: The Case of Poland and Hungary," Economic Change and Restructuring, Springer, vol. 31(1), pages 29-55.
    See citations under working paper version above.
  31. Roberto Golinelli, 1998. "Fatti stilizzati e metodi econometrici "moderni": una rivisitazione della curva di Phillips per l'Italia (1951-1996)," Politica economica, Società editrice il Mulino, issue 3, pages 411-446.

    Cited by:

    1. Francesco Pastore, 2010. "Assessing the impact of incomes policy: the Italian experience," International Journal of Manpower, Emerald Group Publishing Limited, vol. 31(7), pages 793-817, October.
    2. Fabio Bacchini & Cristina Brandimarte & Piero Crivelli & Roberta De Santis & Marco Fioramanti & Alessandro Girardi & Roberto Golinelli & Cecilia Jona-Lasinio & Massimo Mancini & Carmine Pappalardo & D, 2013. "Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 17-45.
    3. Mauro, Luciano, 2004. "The macroeconomics of Italy: a regional perspective," Journal of Policy Modeling, Elsevier, vol. 26(8-9), pages 927-944, December.
    4. Baffigi, Alberto & Bontempi, Maria Elena & Felice, Emanuele & Golinelli, Roberto, 2015. "The changing relationship between inflation and the economic cycle in Italy: 1861–2012," Explorations in Economic History, Elsevier, vol. 56(C), pages 53-70.
    5. Binotti, Annetta Maria & Ghiani, Enrico, 2008. "Changes in aggregate supply conditions in Italy: A small econometric model and its policy implications," Journal of Policy Modeling, Elsevier, vol. 30(6), pages 1017-1039.

  32. Golinelli, Roberto & Orsi, Renzo, 1994. "Price-Wage Dynamics in a Transition Economy: The Case of Poland," Economic Change and Restructuring, Springer, vol. 27(3), pages 293-313.
    See citations under working paper version above.

Chapters

  1. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting industrial production: the role of information and methods," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 227-235, Bank for International Settlements.

    Cited by:

    1. Galdi, Giulio & Casarin, Roberto & Ferrari, Davide & Fezzi, Carlo & Ravazzolo, Francesco, 2023. "Nowcasting industrial production using linear and non-linear models of electricity demand," Energy Economics, Elsevier, vol. 126(C).
    2. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Carlos Poza & Alvaro Baños Izquierdo, 2023. "Persistence and Seasonality in the US Industrial Production Index," CESifo Working Paper Series 10756, CESifo.

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