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Ulrich Fritsche

Citations

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

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Joerg Doepke & Ulrich Fritsche & Boriss Siliverstovs, 2009. "Evaluating German business cycle forecasts under an asymmetric loss function," KOF Working papers 09-237, KOF Swiss Economic Institute, ETH Zurich.

    Mentioned in:

    1. The loss aversion of economic forecasters
      by Economic Logician in Economic Logic on 2009-12-01 19:59:00
  2. Ulrich Frische & Ingrid Größl, 2010. "New Keynesian DSGE Models and the IS-LM Paradigm," IMK Working Paper 1-2010, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.

    Mentioned in:

    1. Trying to justify IS-LM
      by Economic Logician in Economic Logic on 2010-12-16 21:27:00

Working papers

  1. Heinisch, Katja & Behrens, Christoph & Döpke, Jörg & Foltas, Alexander & Fritsche, Ulrich & Köhler, Tim & Müller, Karsten & Puckelwald, Johannes & Reichmayr, Hannes, 2023. "The IWH Forecasting Dashboard: From forecasts to evaluation and comparison," IWH Technical Reports 1/2023, Halle Institute for Economic Research (IWH).

    Cited by:

    1. Foltas, Alexander, 2023. "Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs," Working Papers 44, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.

  2. Ishak, Phoebe W. & Fritsche, Ulrich, 2020. "Oil Price Shocks, Protest and the Shadow Economyː Is there a Mitigation Effect?," WiSo-HH Working Paper Series 52, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.

    Cited by:

    1. Mohammad Reza Farzanegan & Sven Fischer, 2023. "The Effect of the “Woman Life Freedom” Protests on Life Satisfaction in Iran: Evidence from Survey Data," CESifo Working Paper Series 10643, CESifo.
    2. Mohammad Reza Farzanegan & Hassan F. Gholipour, 2021. "Covid-19 Fatalities and Internal Conflict: Does Government Economic Support Matter?," CESifo Working Paper Series 9352, CESifo.
    3. Duan, Wenqi & Madasi, Joseph David & Khurshid, Adnan & Ma, Dan, 2022. "Industrial structure conditions economic resilience," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    4. Musa Abdullahi Sakanko & Joseph David & Nurudeen Abu & Awadh Ahmed Mohammed Gamal, 2024. "Financial inclusion and underground economy nexus in West Africa: evidence from dynamic heterogeneous panel techniques," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-20, February.
    5. Mohammad Reza Farzanegan & Reza Zamani, 2023. "Does Oil Corrupt? Evidence from a Multivariate VAR in Iran," MAGKS Papers on Economics 202321, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

  3. Phoebe W. Ishak & Ulrich Fritsche, 2019. "Oil Price Shocks and Protest: Can Shadow Economy Mitigate?," Macroeconomics and Finance Series 201901, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Ishak, Phoebe W. & Farzanegan, Mohammad Reza, 2020. "The impact of declining oil rents on tax revenues: Does the shadow economy matter?," Energy Economics, Elsevier, vol. 92(C).

  4. Jörg Döpke & Ulrich Fritsche & Karsten Müller, 2018. "Has Macroeconomic Forecasting changed after the Great Recession? - Panel-based Evidence on Accuracy and Forecaster Behaviour from Germany," Macroeconomics and Finance Series 201803, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Cronin, David & McQuinn, Kieran, 2021. "Are official forecasts of output growth in the EU still biased?," Journal of Policy Modeling, Elsevier, vol. 43(2), pages 337-349.

  5. Ulrich Fritsche & Johannes Puckelwald, 2018. "Deciphering Professional Forecasters’ Stories - Analyzing a Corpus of Textual Predictions for the German Economy," Macroeconomics and Finance Series 201804, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Müller, Karsten, 2020. "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers 23, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    2. Foltas, Alexander, 2020. "Testing investment forecast efficiency with textual data," Working Papers 19, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    3. Diaf, Sami & Döpke, Jörg & Fritsche, Ulrich & Rockenbach, Ida, 2020. "Sharks and minnows in a shoal of words: Measuring latent ideological positions of German economic research institutes based on text mining techniques," Working Papers 24, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    4. Döpke, Jörg & Fritsche, Ulrich & Müller, Karsten, 2019. "Has macroeconomic forecasting changed after the Great Recession? Panel-based evidence on forecast accuracy and forecaster behavior from Germany," Journal of Macroeconomics, Elsevier, vol. 62(C).

  6. Jörg Döpke & Ulrich Fritsche & Gabi Waldhof, 2017. "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey among professional forecasters," Working Papers 2017-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

  7. Ulrich Fritsche & Artur Tarassow, 2017. "Vergleichende Evaluation der Konjunkturprognosen des Instituts für Makroökonomie und Konjunkturforschung an der Hans-Böckler-Stiftung für den Zeitraum 2005-2014," IMK Studies 54-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.

    Cited by:

    1. Müller, Karsten, 2020. "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers 23, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    2. Döpke Jörg & Fritsche Ulrich & Waldhof Gabi, 2019. "Theories, Techniques and the Formation of German Business Cycle Forecasts : Evidence from a survey of professional forecasters," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 203-241, April.
    3. Jörg Döpke & Ulrich Fritsche & Karsten Müller, 2018. "Has Macroeconomic Forecasting changed after the Great Recession? - Panel-based Evidence on Accuracy and Forecaster Behaviour from Germany," Macroeconomics and Finance Series 201803, University of Hamburg, Department of Socioeconomics.
    4. Jörg Döpke & Ulrich Fritsche & Gabi Waldhof, 2017. "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey among professional forecasters," Working Papers 2017-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

  8. Jörg Döpke & Ulrich Fritsche & Gabi Waldhof, 2017. "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey of professional forecasters," Macroeconomics and Finance Series 201701, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Carola Binder & Wesley Janson & Randal J. Verbrugge, 2019. "Thinking Outside the Box: Do SPF Respondents Have Anchored Inflation Expectations?," Working Papers 19-15, Federal Reserve Bank of Cleveland.
    2. Carola Binder & Wesley Janson & Randal Verbrugge, 2023. "Out of Bounds: Do SPF Respondents Have Anchored Inflation Expectations?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(2-3), pages 559-576, March.
    3. Emme, Verena & Henze, Justus & Reichmann, Werner & Weinig, Max, 2021. "Economics in Action – die Erstellung von Wirtschaftsprognosen in der (Corona-)Krise," WiSo-HH Working Paper Series 63, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.

  9. Ulrich Fritsche & Christian Pierdzioch, 2016. "Animal Spirits, the Stock Market, and the Unemployment Rate: Some Evidence for German Data," Macroeconomics and Finance Series 201601, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Ayad Hicham, 2020. "Government Expenditure and Economic Growth Nexus in Mena Countries: Frequency Domain Spectral Causality Analysis," Economics and Business, Sciendo, vol. 34(1), pages 60-77, January.
    2. Pan, Wei-Fong, 2018. "Does the stock market really cause unemployment? A cross-country analysis," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 34-43.
    3. Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2018. "Time-Varying Causal Relationship between Stock Market and Unemployment in the United Kingdom: Historical Evidence from 1855 to 2017," Working Papers 201863, University of Pretoria, Department of Economics.
    4. Deniz Ilalan, 2018. "How US wages effect post-socialist European stock markets: an empirical study," Economics and Business Letters, Oviedo University Press, vol. 7(4), pages 179-188.
    5. Barbieri Hermitte, Riccardo & Cagnazzo, Alberto & Favero, Carlo A. & Felici, Francesco & Macauda, Valeria & Nucci, Francesco & Tegami, Cristian, 2023. "ITFIN: A stock-flow consistent model for the Italian economy," Economic Modelling, Elsevier, vol. 119(C).

  10. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Nazemi, Abdolreza & Rezazadeh, Hani & Fabozzi, Frank J. & Höchstötter, Markus, 2022. "Deep learning for modeling the collection rate for third-party buyers," International Journal of Forecasting, Elsevier, vol. 38(1), pages 240-252.
    3. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Working Papers 20-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Aug 2020.
    4. Tim Meyer, 2019. "On the Directional Accuracy of United States Housing Starts Forecasts: Evidence from Survey Data," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 457-488, April.
    5. Lauri Nevasalmi, 2022. "Recession forecasting with high‐dimensional data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 752-764, July.
    6. Behrens, Christoph, 2019. "Evaluating the Joint Efficiency of German Trade Forecasts. A nonparametric multivariate approach," Working Papers 9, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    7. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    8. Hwang, Youngjin, 2019. "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, vol. 62(C).
    9. Jaehyuk Choi & Desheng Ge & Kyu Ho Kang & Sungbin Sohn, 2021. "Yield Spread Selection in Predicting Recession Probabilities: A Machine Learning Approach," Papers 2101.09394, arXiv.org, revised Jan 2022.
    10. Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting New Zealand GDP using machine learning algorithms," 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.
    11. Vrontos, Spyridon D. & Galakis, John & Vrontos, Ioannis D., 2021. "Modeling and predicting U.S. recessions using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 37(2), pages 647-671.
    12. Shahram Fattahi & Kiomars Sohaili & Hamed Monkaresi & Fatemeh Mehrabi, 2017. "Modelling and Forecasting Recessions in Oil-exporting Countries: The Case of Iran," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 569-574.
    13. Maas, Benedikt, 2019. "Nowcasting and forecasting US recessions: Evidence from the Super Learner," MPRA Paper 96408, University Library of Munich, Germany.
    14. Kajal Lahiri & Cheng Yang, 2021. "Boosting Tax Revenues with Mixed-Frequency Data in the Aftermath of Covid-19: The Case of New York," CESifo Working Paper Series 9365, CESifo.
    15. Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
    16. Gupta, Rangan & Pierdzioch, Christian & Vivian, Andrew J. & Wohar, Mark E., 2019. "The predictive value of inequality measures for stock returns: An analysis of long-span UK data using quantile random forests," Finance Research Letters, Elsevier, vol. 29(C), pages 315-322.
    17. Zihao Wang & Kun Li & Steve Q. Xia & Hongfu Liu, 2021. "Economic Recession Prediction Using Deep Neural Network," Papers 2107.10980, arXiv.org.
    18. Denis Shibitov & Mariam Mamedli, 2021. "Forecasting Russian Cpi With Data Vintages And Machine Learning Techniques," Bank of Russia Working Paper Series wps70, Bank of Russia.
    19. Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting GDP using machine learning algorithms: A real-time assessment," Reserve Bank of New Zealand Discussion Paper Series DP2019/03, Reserve Bank of New Zealand.
    20. Risse, Marian, 2019. "Combining wavelet decomposition with machine learning to forecast gold returns," International Journal of Forecasting, Elsevier, vol. 35(2), pages 601-615.
    21. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2021. "Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach," Working Paper Series 2614, European Central Bank.
    22. Yahia Mutalib Tofiq & Sarmad Dashti Latif & Ali Najah Ahmed & Pavitra Kumar & Ahmed El-Shafie, 2022. "Optimized Model Inputs Selections for Enhancing River Streamflow Forecasting Accuracy Using Different Artificial Intelligence Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5999-6016, December.
    23. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
    24. Paulino José Garcia Nieto & Esperanza García Gonzalo & Fernando Sanchez Lasheras & Antonio Bernardo Sánchez, 2020. "A Hybrid Predictive Approach for Chromium Layer Thickness in the Hard Chromium Plating Process Based on the Differential Evolution/Gradient Boosted Regression Tree Methodology," Mathematics, MDPI, vol. 8(6), pages 1-20, June.
    25. Marco Taboga, 2019. "Cross-country differences in the size of venture capital financing rounds: a machine learning approach," Temi di discussione (Economic working papers) 1243, Bank of Italy, Economic Research and International Relations Area.
    26. Juan Tenorio & Wilder Perez, 2024. "Monthly GDP nowcasting with Machine Learning and Unstructured Data," Papers 2402.04165, arXiv.org.
    27. Foltas, Alexander, 2023. "Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs," Working Papers 44, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    28. Christian R. Proaño & Artur Tarassow, 2017. "Evaluating the predicting power of ordered probit models for multiple business cycle phases in the U.S. and Japan," IMK Working Paper 188-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    29. Hui Hu & Jianfeng Zhang & Tao Li, 2021. "A Novel Hybrid Decompose-Ensemble Strategy with a VMD-BPNN Approach for Daily Streamflow Estimating," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5119-5138, December.
    30. Emrich Eike & Pierdzioch Christian, 2016. "Public Goods, Private Consumption, and Human Capital: Using Boosted Regression Trees to Model Volunteer Labour Supply," Review of Economics, De Gruyter, vol. 67(3), pages 263-283, December.
    31. Seulki Chung, 2023. "Real-time Prediction of the Great Recession and the Covid-19 Recession," Papers 2310.08536, arXiv.org, revised Mar 2024.
    32. Behrens, Christoph, 2020. "German trade forecasts since 1970: An evaluation using the panel dimension," Working Papers 26, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    33. Zongxin Zhang & Ying Chen, 2022. "Tail Risk Early Warning System for Capital Markets Based on Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 901-923, October.
    34. Li Duan & Jingxian Zhou & You Wu & Wenyao Xu, 2022. "A novel and highly efficient botnet detection algorithm based on network traffic analysis of smart systems," International Journal of Distributed Sensor Networks, , vol. 18(3), pages 15501477211, March.
    35. du Plessis, Emile, 2022. "Multinomial modeling methods: Predicting four decades of international banking crises," Economic Systems, Elsevier, vol. 46(2).
    36. Jaehyuk Choi & Desheng Ge & Kyu Ho Kang & Sungbin Sohn, 2023. "Yield spread selection in predicting recession probabilities," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1772-1785, November.
    37. Bosy A. El-Haddad & Ahmed M. Youssef & Hamid R. Pourghasemi & Biswajeet Pradhan & Abdel-Hamid El-Shater & Mohamed H. El-Khashab, 2021. "Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(1), pages 83-114, January.
    38. Christian Pierdzioch & Rangan Gupta & Hossein Hassani & Emmanuel Silva, 2018. "Forecasting Changes of Economic Inequality: A Boosting Approach," Working Papers 201868, University of Pretoria, Department of Economics.
    39. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.

  11. Katharina Glass & Ulrich Fritsche, 2015. "Real-time Macroeconomic Data and Uncertainty," Macroeconomics and Finance Series 201406, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. de Mendonça, Helder Ferreira & Baca, Adriana Cabrera, 2022. "Fiscal opacity and reduction of income inequality through taxation: Effects on economic growth," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 69-82.
    2. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    3. Baetje, Fabian & Friedrici, Karola, 2016. "Does cross-sectional forecast dispersion proxy for macroeconomic uncertainty? New empirical evidence," Economics Letters, Elsevier, vol. 143(C), pages 38-43.
    4. Christian Glocker & Werner Hölzl, 2019. "Assessing the Economic Content of Direct and Indirect Business Uncertainty Measures," WIFO Working Papers 576, WIFO.
    5. Joshy Easaw & Christian Grimme, 2021. "The Impact of Aggregate Uncertainty on Firm-Level Uncertainty," CESifo Working Paper Series 8934, CESifo.

  12. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series 201505, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Working Papers 20-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Aug 2020.
    2. Shahram Fattahi & Kiomars Sohaili & Hamed Monkaresi & Fatemeh Mehrabi, 2017. "Modelling and Forecasting Recessions in Oil-exporting Countries: The Case of Iran," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 569-574.
    3. Christian R. Proaño & Artur Tarassow, 2017. "Evaluating the predicting power of ordered probit models for multiple business cycle phases in the U.S. and Japan," IMK Working Paper 188-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    4. Emrich Eike & Pierdzioch Christian, 2016. "Public Goods, Private Consumption, and Human Capital: Using Boosted Regression Trees to Model Volunteer Labour Supply," Review of Economics, De Gruyter, vol. 67(3), pages 263-283, December.
    5. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.

  13. Jonas Dovern & Ulrich Fritsche & Prakash Loungani & Natalia Tamirisa, 2014. "Information Rigidities: Comparing Average And Individual Forecasts For A Large International Panel," Working Papers 2014-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Constantin Bürgi & Julio L. Ortiz, 2022. "Overreaction through Anchoring," CESifo Working Paper Series 10193, CESifo.
    2. Müller, Karsten, 2020. "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers 23, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    3. Frédérique Bec & Raouf Boucekkine & Caroline Jardet, 2017. "Why are inflation forecasts sticky?," Working Papers 2017-17, Center for Research in Economics and Statistics.
    4. Neil R. Ericsson, 2015. "Eliciting GDP Forecasts from the FOMC’s Minutes Around the Financial Crisis," International Finance Discussion Papers 1152, Board of Governors of the Federal Reserve System (U.S.).
    5. de Mendonça, Helder Ferreira & Vereda, Luciano & Araujo, Mateus de Azevedo, 2022. "What type of information calls the attention of forecasters? Evidence from survey data in an emerging market," Journal of International Money and Finance, Elsevier, vol. 129(C).
    6. Frédérique Bec & Raouf Boucekkine & Caroline Jardet, 2023. "Why Are Inflation Forecasts Sticky? Theory and Application to France and Germany," International Journal of Central Banking, International Journal of Central Banking, vol. 19(4), pages 215-249, October.
    7. Diana Gabrielyan & Lenno Uusküla, 2022. "Inflation Expectations And Consumption With Machine Learning," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 142, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    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. Alexandre Kohlhas, 2018. "Asymmetric Attention," 2018 Meeting Papers 1040, Society for Economic Dynamics.
    10. Travis J. Berge & Andrew C. Chang & Nitish R. Sinha, 2019. "Evaluating the Conditionality of Judgmental Forecasts," Finance and Economics Discussion Series 2019-002, Board of Governors of the Federal Reserve System (U.S.).
    11. Reslow, André, 2019. "Inefficient Use of Competitors’ Forecasts?," Working Paper Series 2019:9, Uppsala University, Department of Economics.
    12. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    13. Anthony Garratt & Kevin Lee & Kalvinder Shields, 2018. "The role of uncertainty, sentiment and cross‐country interactions in G7 output dynamics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(2), pages 391-418, May.
    14. Dovern, Jonas & Hartmann, Matthias, 2016. "Forecast Performance, Disagreement, and Heterogeneous Signal-to-Noise Ratios," Working Papers 0611, University of Heidelberg, Department of Economics.
    15. Dovern, Jonas & Jannsen, Nils, 2015. "Systematic errors in growth expectations over the business cycle," Kiel Working Papers 1989, Kiel Institute for the World Economy (IfW Kiel).
    16. Constantin Burgi, 2016. "What Do We Lose When We Average Expectations?," Working Papers 2016-013, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    17. Yingying Xu & Zhixin Liu & Zichao Jia & Chi-Wei Su, 2017. "Is time-variant information stickiness state-dependent?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(3), pages 169-187, December.
    18. Alexandre Kohlhas & Tobias Broer, 2019. "Forecaster (Mis-)Behavior," 2019 Meeting Papers 1171, Society for Economic Dynamics.
    19. Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019. "News-driven inflation expectations and information rigidities," Working Paper 2019/5, Norges Bank.
    20. Tara M. Sinclair, 2012. "Characteristics and Implications of Chinese Macroeconomic Data Revisions," Working Papers 2012-09, The George Washington University, Institute for International Economic Policy.
    21. Mehmet Sahiner & David G. McMillan & Dimos Kambouroudis, 2023. "Do artificial neural networks provide improved volatility forecasts: Evidence from Asian markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(3), pages 723-762, September.
    22. Döpke Jörg & Fritsche Ulrich & Waldhof Gabi, 2019. "Theories, Techniques and the Formation of German Business Cycle Forecasts : Evidence from a survey of professional forecasters," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 203-241, April.
    23. Ulrich Heilemann & Susanne Schnorr-Bäcker, 2016. "Could The Start Of The German Recession 2008-2009 Have Been Foreseen? Evidence From Real-Time Data," Working Papers 2016-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    24. Jonas Dovern & Geoff Kenny, 2020. "Anchoring Inflation Expectations in Unconventional Times: Micro Evidence for the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 16(5), pages 309-347, October.
    25. Messina, Jeffrey D. & Sinclair, Tara M. & Stekler, Herman, 2015. "What can we learn from revisions to the Greenbook forecasts?," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 54-62.
    26. James Yetman, 2017. "The evolution of inflation expectations in Canada and the US," Canadian Journal of Economics, Canadian Economics Association, vol. 50(3), pages 711-737, August.
    27. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    28. Robert L. Czudaj, 2021. "Heterogeneity of Beliefs and Information Rigidity in the Crude Oil Market: Evidence from Survey Data," Chemnitz Economic Papers 050, Department of Economics, Chemnitz University of Technology, revised Sep 2021.
    29. Lukas Buchheim & Sebastian Link, 2017. "The Effect of Disaggregate Information on the Expectation Formation of Firms," CESifo Working Paper Series 6768, CESifo.
    30. Christopher A. Hollrah & Steven A. Sharpe & Nitish R. Sinha, 2020. "The Power of Narratives in Economic Forecasts," Finance and Economics Discussion Series 2020-001, Board of Governors of the Federal Reserve System (U.S.).
    31. Dovern, Jonas, 2014. "A Multivariate Analysis of Forecast Disagreement: Confronting Models of Disagreement with SPF Data," Working Papers 0571, University of Heidelberg, Department of Economics.
    32. Jörg Döpke & Ulrich Fritsche & Gabi Waldhof, 2017. "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey among professional forecasters," Working Papers 2017-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    33. Aromí, J. Daniel, 2019. "Medium term growth forecasts: Experts vs. simple models," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1085-1099.
    34. Trabelsi, Emna, 2016. "Central bank transparency and the consensus forecast: What does The Economist poll of forecasters tell us?," Research in International Business and Finance, Elsevier, vol. 38(C), pages 338-359.
    35. Joao Tovar Jalles, 2015. "How Quickly is News Incorporated in Fiscal Forecasts?," Economics Bulletin, AccessEcon, vol. 35(4), pages 2802-2812.
    36. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2017. "Forecasting market returns: bagging or combining?," International Journal of Forecasting, Elsevier, vol. 33(1), pages 102-120.
    37. Karlyn Mitchell & Douglas K. Pearce, 2017. "Direct Evidence on Sticky Information from the Revision Behavior of Professional Forecasters," Southern Economic Journal, John Wiley & Sons, vol. 84(2), pages 637-653, October.
    38. Heilemann Ullrich & Schnorr-Bäcker Susanne, 2017. "Could the start of the German recession 2008–2009 have been foreseen? Evidence from Real-Time Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(1), pages 29-62, February.
    39. Zidong An & João Tovar Jalles & Mr. Prakash Loungani, 2018. "How Well Do Economists Forecast Recessions?," IMF Working Papers 2018/039, International Monetary Fund.
    40. Lena Dräger & Michael J. Lamla, 2017. "Imperfect Information and Consumer Inflation Expectations: Evidence from Microdata," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(6), pages 933-968, December.
    41. Jonas Dovern & Christopher Zuber, 2020. "Recessions and Potential Output: Disentangling Measurement Errors, Supply Shocks, and Hysteresis Effects," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(4), pages 1431-1466, October.
    42. Strunz, Franziska & Gödl, Maximilian, 2023. "An Evaluation of Professional Forecasts for the German Economy," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277707, Verein für Socialpolitik / German Economic Association.
    43. Sharpe, Steven A. & Sinha, Nitish R. & Hollrah, Christopher A., 2023. "The power of narrative sentiment in economic forecasts," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1097-1121.
    44. Kenny, Geoff & Dovern, Jonas, 2017. "The long-term distribution of expected inflation in the euro area: what has changed since the great recession?," Working Paper Series 1999, European Central Bank.
    45. Yosuke Uno & Saori Naganuma & Naoko Hara, 2018. "New Facts about Firms' Inflation Expectations: Simple Tests for a Sticky Information Model," Bank of Japan Working Paper Series 18-E-14, Bank of Japan.
    46. Monica Jain, 2018. "Sluggish Forecasts," Staff Working Papers 18-39, Bank of Canada.
    47. Jalles, João Tovar & Karibzhanov, Iskander & Loungani, Prakash, 2015. "Cross-country evidence on the quality of private sector fiscal forecasts," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 186-201.
    48. Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.
    49. Perico Ortiz, Daniel, 2023. "Inflation news coverage, expectations and risk premium," FAU Discussion Papers in Economics 05/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    50. Vereda, Luciano & Savignon, João & Gouveia da Silva, Tarciso, 2021. "A new method to assess the degree of information rigidity using fixed-event forecasts," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1576-1589.

  14. Eva Arnold & Lena Dräger & Ulrich Fritsche, 2014. "Evaluating the Link between Consumers' Savings Portfolio Decisions, their Inflation Expectations and Economic News," Macroeconomics and Finance Series 201402, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Olivier Coibion & Yuriy Gorodnichenko & Rupal Kamdar, 2017. "The Formation of Expectations, Inflation and the Phillips Curve," NBER Working Papers 23304, National Bureau of Economic Research, Inc.

  15. Jonas Dovern & Mr. Ulrich Fritsche & Mr. Prakash Loungani & Ms. Natalia T. Tamirisa, 2013. "Information Rigidities in Economic Growth Forecasts: Evidence from a Large International Panel," IMF Working Papers 2013/056, International Monetary Fund.

    Cited by:

    1. Olivier Coibion, 2014. "Comments On Dovern, Fritsche, Loungani And Tamirisa (Forthcoming)," Working Papers 2014-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Hervé Le Bihan & Philippe Andrade, 2010. "Inattentive Professional Forecasters," 2010 Meeting Papers 1144, Society for Economic Dynamics.
    3. Dovern, Jonas, 2013. "When are GDP forecasts updated? Evidence from a large international panel," Economics Letters, Elsevier, vol. 120(3), pages 521-524.
    4. Messina, Jeffrey D. & Sinclair, Tara M. & Stekler, Herman, 2015. "What can we learn from revisions to the Greenbook forecasts?," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 54-62.
    5. Reto Cueni & Bruno S. Frey, 2014. "Forecasts and Reactivity," CREMA Working Paper Series 2014-10, Center for Research in Economics, Management and the Arts (CREMA).

  16. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph Ruelke & Georg Stadtmann, 2012. "Forecasting the Brazilian Real and the Mexican Peso: Asymmetric Loss, Forecast Rationality, and Forecaster Herding," Macroeconomics and Finance Series 201202, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    2. Joscha Beckmann & Robert L. Czudaj, 2022. "Exchange rate expectation, abnormal returns, and the COVID-19 pandemic," Chemnitz Economic Papers 054, Department of Economics, Chemnitz University of Technology, revised Jan 2022.
    3. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "Forecasting the South African Inflation Rate: On Asymmetric Loss and Forecast Rationality," Working Papers 201475, University of Pretoria, Department of Economics.
    4. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    5. Patrick Schmidt & Matthias Katzfuss & Tilmann Gneiting, 2021. "Interpretation of point forecasts with unknown directive," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 728-743, September.
    6. Rohloff, Sebastian & Pierdzioch, Christian & Risse, Marian, 2014. "Fluctuations of the Real Exchange Rate, Real Interest Rates, and the Dynamics of the Price of Gold in a Small Open Economy," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100429, Verein für Socialpolitik / German Economic Association.
    7. Charemza, Wojciech & Ladley, Daniel, 2016. "Central banks’ forecasts and their bias: Evidence, effects and explanation," International Journal of Forecasting, Elsevier, vol. 32(3), pages 804-817.
    8. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
    9. Christoph Behrens, 2019. "A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss," Economies, MDPI, vol. 7(3), pages 1-23, September.
    10. Tsuchiya, Yoichi, 2015. "Herding behavior and loss functions of exchange rate forecasters over interventions and financial crises," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 266-276.
    11. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    12. Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.
    13. Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016. "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 62(C), pages 42-50.
    14. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.
    15. Fildes, Robert, 2015. "Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 140-143.
    16. Michael Frenkel & Jin-Kyu Jung & Jan-Christoph Rülke, 2017. "Rationalizing the Bias in Central Banks' Interest Rate Projections," WHU Working Paper Series - Economics Group 17-03, WHU - Otto Beisheim School of Management.
    17. Michael Frenkel & Jin-Kyu Jung & Jan-Christoph Rülke, 2022. "Testing for the rationality of central bank interest rate forecasts," Empirical Economics, Springer, vol. 62(3), pages 1037-1078, March.
    18. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A quantile-boosting approach to forecasting gold returns," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 38-55.
    19. Goldstein, Nathan & Zilberfarb, Ben-Zion, 2021. "Do forecasters really care about consensus?," Economic Modelling, Elsevier, vol. 100(C).
    20. Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "On the directional accuracy of forecasts of emerging market exchange rates," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 369-376.
    21. Kiss, Tamás & Kladívko, Kamil & Silfverberg, Oliwer & Österholm, Pär, 2023. "Market participants or the random walk – who forecasts better? Evidence from micro-level survey data," Finance Research Letters, Elsevier, vol. 54(C).
    22. Frenkel, Michael & Mauch, Matthias & Rülke, Jan-Christoph, 2020. "Do forecasters of major exchange rates herd?," Economic Modelling, Elsevier, vol. 84(C), pages 214-221.
    23. Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

  17. Lena Dräger & Jan-Oliver Menz & Ulrich Fritsche, 2011. "Perceived Inflation under Loss Aversion," Macroeconomics and Finance Series 201105, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Beja, Edsel Jr., 2016. "The asymmetric effects of macroeconomic performance on happiness: Evidence for the EU," MPRA Paper 101079, University Library of Munich, Germany.
    2. 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.
    3. Michael J. Lamla & Sarah M. Lein, 2008. "The Role of Media for Consumers' Inflation Expectation Formation," KOF Working papers 08-201, KOF Swiss Economic Institute, ETH Zurich.
    4. Michael Berlemann & Sören Enkelmann & Torben Kuhlenkasper, 2015. "Unraveling the Relationship Between Presidential Approval and the Economy: A Multidimensional Semiparametric Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 468-486, April.
    5. Peter, Eckley, 2015. "(Non)rationality of consumer inflation perceptions," MPRA Paper 77082, University Library of Munich, Germany.
    6. 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.

  18. Roberta Colavecchio & Ulrich Fritsche & Michael Graff, 2011. "Inflation Inequality in Europe," Macroeconomics and Finance Series 201102, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Kiss, Regina & Strasser, Georg, 2024. "Inflation heterogeneity across households," Working Paper Series 2898, European Central Bank.
    2. Menz, Jan-Oliver & Poppitz, Philipp, 2013. "Household`s Disagreement on Inflation Expectations and Socioeconomic Media Exposure in Germany," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80006, Verein für Socialpolitik / German Economic Association.
    3. Lena Dräger & Ulrich Fritsche, 2013. "Don't Worry, Be Right! Survey Wording Effects on In flation Perceptions and Expectations," Macroeconomics and Finance Series 201308, University of Hamburg, Department of Socioeconomics.

  19. Ulrich Fritsche & Ullrich Heilemann, 2010. "Too Many Cooks? The German Joint Diagnosis and Its Production," Macroeconomics and Finance Series 201001, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Müller, Karsten, 2020. "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers 23, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    2. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    3. Ulrich Heilemann & Susanne Schnorr-Bäcker, 2016. "Could The Start Of The German Recession 2008-2009 Have Been Foreseen? Evidence From Real-Time Data," Working Papers 2016-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Marina Riem, 2017. "Essays on the Behavior of Firms and Politicians," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 73.
    5. Christoph Schinke, 2016. "Wealth and Politics: Studies on Inter Vivos Transfers and Partisan Effects," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 67.
    6. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    7. Ha Quyen Ngo & Niklas Potrafke & Marina Riem & Christoph Schinke, 2015. "Ideology and Dissent among Economists: The Joint Economic Forecast of German Economic Research Institutes," CESifo Working Paper Series 5393, CESifo.
    8. Heilemann Ullrich & Schnorr-Bäcker Susanne, 2017. "Could the start of the German recession 2008–2009 have been foreseen? Evidence from Real-Time Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(1), pages 29-62, February.
    9. Engelke, Carola & Heinisch, Katja & Schult, Christoph, 2019. "How forecast accuracy depends on conditioning assumptions," IWH Discussion Papers 18/2019, Halle Institute for Economic Research (IWH).

  20. Ulrich Frische & Ingrid Größl, 2010. "New Keynesian DSGE Models and the IS-LM Paradigm," IMK Working Paper 1-2010, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.

    Cited by:

    1. Sebastian Dullien, 2010. "Macroeconomic Theory and Macroeconomic Pedagogy – A review of the book edited by Giuseppe Fontana and Mark Setterfield," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 7(2), pages 266-271.

  21. Jan-Egbert Sturm & Ulrich Fritsche & Michael Graff & Michael Lamla & Sarah Lein & Volker Nitsch & David Liechti & Daniel Triet, 2009. "The euro and prices: changeover-related inflation and price convergence in the euro area," European Economy - Economic Papers 2008 - 2015 381, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.

    Cited by:

    1. 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.
    2. Garcia-Hiernaux, Alfredo & Gonzalez-Perez, Maria T. & Guerrero, David E., 2023. "Eurozone prices: A tale of convergence and divergence," Economic Modelling, Elsevier, vol. 126(C).
    3. Michael J. Lamla & Sarah M. Lein, 2008. "The Role of Media for Consumers' Inflation Expectation Formation," KOF Working papers 08-201, KOF Swiss Economic Institute, ETH Zurich.
    4. Angelos Liontakis & Dimitris Kremmydas, 2013. "Food Inflation in EU: Distribution Analysis and Spatial Effects," Working Papers 2013-3, Agricultural University of Athens, Department Of Agricultural Economics.
    5. Tairi Room & Katri Urke, 2014. "The Euro Changeover in Estonia: implications for inflation," Bank of Estonia Working Papers wp2014-6, Bank of Estonia, revised 10 Oct 2014.
    6. Güner, Eren & Weichenrieder, Alfons, 2018. "Pro-rich Inflation in Europe: Implications for the Measurement of Inequality," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181582, Verein für Socialpolitik / German Economic Association.
    7. Angelos Liontakis & Christos T. Papadas, 2010. "Distribution Dynamics of Food Price Inflation Rates in EU: An Alternative Conditional Density Estimator Approach," Working Papers 2010-6, Agricultural University of Athens, Department Of Agricultural Economics.
    8. Friedrich Fritzer, 2012. "Price Level Convergence Before and After the Advent of EMU," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 105-116.
    9. Rõõm, Tairi & Meriküll, Jaanika, 2014. "One currency, one price? Euro changeover-related inflation in Estonia," Working Paper Series 1732, European Central Bank.
    10. Garcia-Hiernaux, Alfredo & Guerrero, David E., 2021. "Price convergence: Representation and testing," Economic Modelling, Elsevier, vol. 104(C).
    11. Luca Macedoni, 2021. "Has the Euro Shrunk the Band? Relative Purchasing Power Parity Convergence in a Currency Union," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(2), pages 593-620, April.
    12. Svatopluk Kapounek & Lubor Lacina, 2011. "Inflation Perceptions and Anticipations in the Old Eurozone Member States," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 120-139.
    13. Liontakis, Angelos E. & Papadas, Christos T., 2009. "Distribution Dynamics of Food Price Inflation Rates in EU: An Alternative Conditional Density Estimator Approach," 113th Seminar, September 3-6, 2009, Chania, Crete, Greece 58084, European Association of Agricultural Economists.
    14. Valentin Jouvanceau, 2021. "The Effect of the Euro Changeover on Prices: Evidence from Lithuania," Bank of Lithuania Working Paper Series 93, Bank of Lithuania.
    15. Karsten Staehr, 2010. "Income convergence and inflation in Central and Eastern Europe : does the sun always rise in the East," Bank of Estonia Working Papers wp2010-04, Bank of Estonia, revised 22 Mar 2010.

  22. Ulrich Fritsche & Sarah Lein & Sebastian Weber, 2009. "Do Prices in the EMU Converge (Non-linearly)?," Macroeconomics and Finance Series 200904, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Ulrich Fritsche & Vladimir Kuzin, 2011. "Analysing convergence in Europe using the non-linear single factor model," Empirical Economics, Springer, vol. 41(2), pages 343-369, October.
    2. Sophie-Charlotte Meyer & Ronald Schettkat, 2013. "Price Convergence in Euroland. Evidence from micro data without noise," Schumpeter Discussion Papers sdp13005, Universitätsbibliothek Wuppertal, University Library.

  23. Lena Vogel & Jan-Oliver Menz & Ulrich Fritsche, 2009. "Prospect Theory and Inflation Perceptions - An Empirical Assessment," Macroeconomics and Finance Series 200903, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Lunn, Pete & Duffy, David, 2010. "The Euro Through the Looking-Glass: Perceived Inflation Following the 2002 Currency Changeover," Papers WP338, Economic and Social Research Institute (ESRI).
    2. Lena Draeger, 2011. "Inflation perceptions and expectations in Sweden - are media reports the 'missing link'?," KOF Working papers 11-273, KOF Swiss Economic Institute, ETH Zurich.
    3. Michael J. Lamla & Sarah Lein, 2010. "The Euro Cash Changeover, Inflation Perceptions and the Media," KOF Working papers 10-254, KOF Swiss Economic Institute, ETH Zurich.
    4. Valentin Jouvanceau, 2021. "The Effect of the Euro Changeover on Prices: Evidence from Lithuania," Bank of Lithuania Working Paper Series 93, Bank of Lithuania.

  24. Joerg Doepke & Ulrich Fritsche & Boriss Siliverstovs, 2009. "Evaluating German Business Cycle Forecasts Under an Asymmetric Loss Function," Macroeconomics and Finance Series 200905, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Gogolev, Stepan & Ozhegov, Evgeniy, 2023. "Asymmetric loss function in product-level sales forecasting: An empirical comparison," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 70, pages 109-121.
    2. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
    3. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2013. "Oil price forecasting under asymmetric loss," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2371-2379, June.
    4. Jens J. Krüger, 2014. "A multivariate evaluation of German output growth and inflation forecasts," Economics Bulletin, AccessEcon, vol. 34(3), pages 1410-1418.
    5. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "Forecasting the South African Inflation Rate: On Asymmetric Loss and Forecast Rationality," Working Papers 201475, University of Pretoria, Department of Economics.
    6. Hans Christian Müller-Dröge & Tara M. Sinclair & Herman O. Stekler, 2014. "Evaluating Forecasts Of A Vector Of Variables: A German Forecasting Competition," Working Papers 2014-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    7. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    8. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    9. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    10. Ullrich Heilemann & Herman O. Stekler, 2013. "Has The Accuracy of Macroeconomic Forecasts for Germany Improved?," German Economic Review, Verein für Socialpolitik, vol. 14(2), pages 235-253, May.
    11. Döpke Jörg & Fritsche Ulrich & Waldhof Gabi, 2019. "Theories, Techniques and the Formation of German Business Cycle Forecasts : Evidence from a survey of professional forecasters," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 203-241, April.
    12. Tsuchiya, Yoichi, 2016. "Assessing macroeconomic forecasts for Japan under an asymmetric loss function," International Journal of Forecasting, Elsevier, vol. 32(2), pages 233-242.
    13. Jan-Christoph Rülke & Maria Silgoner & Julia Wörz, 2012. "Herding Behavior of Business Cycle Forecasters in Times of Economic Crises," WHU Working Paper Series - Economics Group 12-03, WHU - Otto Beisheim School of Management.
    14. Krüger, Jens J. & Hoss, Julian, 2012. "German business cycle forecasts, asymmetric loss and financial variables," Economics Letters, Elsevier, vol. 114(3), pages 284-287.
    15. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.
    16. Tsuchiya, Yoichi, 2012. "Evaluating Japanese corporate executives’ forecasts under an asymmetric loss function," Economics Letters, Elsevier, vol. 116(3), pages 601-603.
    17. Buch, Claudia M. & Holtemöller, Oliver, 2014. "Do We Need New Modelling Approaches in Macroeconomics?," IWH Discussion Papers 8/2014, Halle Institute for Economic Research (IWH).
    18. Jörg Döpke & Ulrich Fritsche & Gabi Waldhof, 2017. "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey among professional forecasters," Working Papers 2017-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    19. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "On the loss function of the Bank of Canada: A note," Economics Letters, Elsevier, vol. 115(2), pages 155-159.
    20. Heilemann Ullrich & Schnorr-Bäcker Susanne, 2017. "Could the start of the German recession 2008–2009 have been foreseen? Evidence from Real-Time Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(1), pages 29-62, February.
    21. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    22. Rülke Jan-Christoph, 2012. "Do Private Sector Forecasters Desire to Deviate From the German Council of Economic Experts?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 414-428, August.
    23. Jan-Christoph Rülke, 2011. "Do private sector forecasters desire to deviate from the German council of economic experts?," WHU Working Paper Series - Economics Group 11-04, WHU - Otto Beisheim School of Management.
    24. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2013. "A note on forecasting the prices of gold and silver: Asymmetric loss and forecast rationality," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(3), pages 294-301.

  25. Dovern, Jonas & Fritsche, Ulrich & Slacalek, Jiri, 2009. "Disagreement among forecasters in G7 countries," Working Paper Series 1082, European Central Bank.

    Cited by:

    1. Gergely Ganics & Barbara Rossi & Tatevik Sekhposyan, 2019. "From fixed-event to fixed-horizon density forecasts: Obtaining measures of multi-horizon uncertainty from survey density forecasts," Economics Working Papers 1689, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Ahrens, Steffen & Lustenhouwer, Joep & Tettamanzi, Michele, 2017. "The Stabilizing Role of Forward Guidance: A Macro Experiment," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168063, Verein für Socialpolitik / German Economic Association.
    3. Steve Brito & Mr. Yan Carriere-Swallow & Bertrand Gruss, 2018. "Disagreement about Future Inflation: Understanding the Benefits of Inflation Targeting and Transparency," IMF Working Papers 2018/024, International Monetary Fund.
    4. Lustenberger, Thomas & Rossi, Enzo, 2018. "Does Central Bank Transparency and Communication Affect Financial and Macroeconomic Forecasts?," Working papers 2018/06, Faculty of Business and Economics - University of Basel.
    5. Akihisa Shibata & Mototsugu Shintani & Takayuki Tsuruga, 2018. "Current account dynamics under information rigidity and imperfect capital mobility," CAMA Working Papers 2018-56, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    7. Ye, Wuyi & Guo, Ranran & Jiang, Ying & Liu, Xiaoquan & Deschamps, Bruno, 2019. "Professional macroeconomic forecasts and Chinese commodity futures prices," Finance Research Letters, Elsevier, vol. 28(C), pages 130-136.
    8. Ehrmann, Michael, 2021. "Point targets, tolerance bands or target ranges? Inflation target types and the anchoring of inflation expectations," Journal of International Economics, Elsevier, vol. 132(C).
    9. Issler, João Victor & Soares, Ana Flávia, 2019. "Central Bank credibility and inflation expectations: a microfounded forecasting approach," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 812, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    10. Skintzi, Vasiliki D., 2019. "Determinants of stock-bond market comovement in the Eurozone under model uncertainty," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 20-28.
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    Cited by:

    1. Müller, Karsten, 2020. "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers 23, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    2. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    3. Fernando Nascimento de Oliveira & Wagner Piazza Gaglianone, 2020. "Expectations anchoring indexes for Brazil using Kalman filter: Exploring signals of inflation anchoring in the long term," International Economics, CEPII research center, issue 163, pages 72-91.
    4. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
    5. James Yetman, 2018. "The perils of approximating fixed-horizon inflation forecasts with fixed-event forecasts," BIS Working Papers 700, Bank for International Settlements.
    6. Bank for International Settlements, 2014. "Globalisation, inflation and monetary policy in Asia and the Pacific," BIS Papers, Bank for International Settlements, number 77.
    7. Aaron Mehrotra & James Yetman, 2014. "How anchored are inflation expectations in Asia? Evidence from surveys of professional forecasters," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation, inflation and monetary policy in Asia and the Pacific, volume 77, pages 181-191, Bank for International Settlements.

  27. Ulrich Fritsche & Vladimir Kuzin, 2008. "Analysing Convergence in Europe Using a Non-linear Single Factor Model," Macroeconomics and Finance Series 200802, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Charles Shaaba Saba & Nicholas Ngepah & Christian Nsiah, 2020. "Convergence in military expenditure and economic growth in Africa and its regional economic communities: evidence from a club clustering algorithm," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1832344-183, January.
    2. Lopez, Claude & Papell, David, 2010. "Testing for Group-Wise Convergence with an Application to Euro Area Inflation," MPRA Paper 20585, University Library of Munich, Germany.
    3. Konrad Lyncker & Rasmus Thoennessen, 2017. "Regional club convergence in the EU: evidence from a panel data analysis," Empirical Economics, Springer, vol. 52(2), pages 525-553, March.
    4. Borsi, Mihály Tamás & Metiu, Norbert, 2013. "The evolution of economic convergence in the European Union," Discussion Papers 28/2013, Deutsche Bundesbank.
    5. Laura Casi & Laura Resmini, 2012. "Globalization, Foreign Direct Investments and Growth in European Regions: An Empirical Assessment," Chapters, in: Roberta Capello & Tomaz Ponce Dentinho (ed.), Globalization Trends and Regional Development, chapter 4, Edward Elgar Publishing.
    6. Matysiak, George & Olszewski, Krzysztof, 2019. "A Panel Analysis of Polish Regional Cities Residential Price Convergence in the Primary Market," MPRA Paper 94660, University Library of Munich, Germany.
    7. Guglielmo Maria Caporale & Burcu Erdogan & Vladimir Kuzin, 2009. "Testing for Convergence in Stock Markets: A Non-Linear Factor Approach," CESifo Working Paper Series 2845, CESifo.
    8. Alka Obadić & Vladimir Arčabić & Lucija Rogić Dumančić, 2021. "Labor market institutions convergence in the European Union," EFZG Working Papers Series 2102, Faculty of Economics and Business, University of Zagreb.
    9. Mateusz Pipień & Sylwia Roszkowska, 2019. "The heterogeneity of convergence in transition countries," Post-Communist Economies, Taylor & Francis Journals, vol. 31(1), pages 75-105, January.
    10. Hakan Yilmazkuday, 2022. "Inflation convergence over time: Sector‐level evidence within Europe," International Finance, Wiley Blackwell, vol. 25(2), pages 183-217, August.
    11. Guglielmo Caporale & Burcu Erdogan & Vladimir Kuzin, 2015. "Testing stock market convergence: a non-linear factor approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(3), pages 481-498, August.
    12. Fabio Mazzola & Pietro Pizzuto, 2020. "Great Recession and club convergence in Europe: A cross‐country, cross‐region panel analysis (2000–2015)," Growth and Change, Wiley Blackwell, vol. 51(2), pages 676-711, June.
    13. Juan Carlos Cuestas & Mercedes Monfort & Javier Ordóñez, 2012. "Real Convergence in Europe: A Cluster Analysis," Working Papers 2012023, The University of Sheffield, Department of Economics.
    14. Rafael González†Val & Miriam Marcén, 2018. "Club Classification of US Divorce Rates," Manchester School, University of Manchester, vol. 86(4), pages 512-532, July.
    15. Mr. Benedict J. Clements & Mr. Sanjeev Gupta & Saida Khamidova, 2019. "Is Military Spending Converging Across Countries? An Examination of Trends and Key Determinants," IMF Working Papers 2019/196, International Monetary Fund.
    16. Obadić, Alka & Arčabić, Vladimir & Rogić Dumančić, Lucija, 2023. "Club convergence of labor market institutions in the European Union," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 876-896.
    17. Cutrini, Eleonora, 2019. "Economic integration, structural change, and uneven development in the European Union," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 102-113.
    18. Paulo Caldas & Diogo Cunha Ferreira & Brian Dollery & Rui Cunha Marques, 2018. "Municipal Sustainability Influence by European Union Investment Programs on the Portuguese Local Government," Sustainability, MDPI, vol. 10(4), pages 1-23, March.
    19. Nicholas Apergis & Christina Christou & James Payne, 2011. "Political and Institutional Factors in the Convergence of International Equity Markets: Evidence from the Club Convergence and Clustering Procedure," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 39(1), pages 7-18, March.
    20. Sondermann, David, 2012. "Productivity in the euro area: any evidence of convergence?," Working Paper Series 1431, European Central Bank.
    21. König, Jörg & Ohr, Renate, 2012. "Messung ökonomischer Integration in der Europäischen Union: Entwicklung eines EU-Integrationsindexes," University of Göttingen Working Papers in Economics 135, University of Goettingen, Department of Economics.
    22. Kaitila, Ville, 2013. "Convergence, income distribution, and the economic crisis in Europe," ETLA Working Papers 14, The Research Institute of the Finnish Economy.
    23. Clements, Benedict J. & Gupta, Sanjeev & Khamidova, Saida, 2021. "Is military spending converging to a low level across countries?," Economic Modelling, Elsevier, vol. 94(C), pages 433-441.
    24. Fuat C. Beylunioglu & Thanasis Stengos & Ege Yazgan, 2016. "Detecting Convergence Clubs," Working Papers 1604, University of Guelph, Department of Economics and Finance.
    25. Linda Glawe & Carlos Mendez, 2023. "Schooling Ain’t Learning in Europe: A Club Convergence Perspective," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(2), pages 324-361, June.
    26. Ge He & Li Zhou & Yiyang Dai & Yagu Dang & Xu Ji, 2020. "Coal Industrial Supply Chain Network and Associated Evaluation Models," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
    27. Niţoi, Mihai & Pochea, Maria Miruna, 2016. "Testing financial markets convergence in Central and Eastern Europe: A non-linear single factor model," Economic Systems, Elsevier, vol. 40(2), pages 323-334.
    28. Fegheh Majidi , Ali & Mohammadi , Ahmad & Nanvay Sabegh , Behnaz, 2017. "An Investigation of Convergence Hypothesis of Price Index in Asian Stock Markets," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 12(1), pages 73-88, January.
    29. Sayel Basel & R. Prabhakara Rao & K. U. Gopakumar, 2021. "Analysis of club convergence for economies: identification and testing using development indices," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 885-908, October.
    30. Sophie-Charlotte Meyer & Ronald Schettkat, 2013. "Price Convergence in Euroland. Evidence from micro data without noise," Schumpeter Discussion Papers sdp13005, Universitätsbibliothek Wuppertal, University Library.
    31. Linda Glawe & Helmut Wagner, 2021. "Divergence Tendencies in the European Integration Process: A Danger for the Sustainability of the E(M)U?," JRFM, MDPI, vol. 14(3), pages 1-22, March.
    32. Kerkemeier, Marco & Kruse-Becher, Robinson, 2022. "Join the club! Dynamics of global ESG indices convergence," Finance Research Letters, Elsevier, vol. 49(C).

  28. Sebastian Dullien & Ulrich Fritsche, 2007. "Does the Dispersion of Unit Labor Cost Dynamics in the EMU Imply Long-Run Divergence?: Results from a Comparison with the United States of America and Germany," Discussion Papers of DIW Berlin 674, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Helmut Herwartz & Florian Siedenburg, 2013. "To converge or not converge: unit labor cost inflation in the Euro area," Empirical Economics, Springer, vol. 44(2), pages 455-467, April.
    2. Ulrich Fritsche & Vladimir Kuzin, 2011. "Analysing convergence in Europe using the non-linear single factor model," Empirical Economics, Springer, vol. 41(2), pages 343-369, October.
    3. Buscher, Herbert S. & Gabrisch, Hubert, 2009. "Is the European Monetary Union an Endogenous Currency Area? The Example of the Labor Markets," IWH Discussion Papers 7/2009, Halle Institute for Economic Research (IWH).
    4. Hubert Gabrisch, 2011. "A Macroeconomist’s View on EU Governance Reform: Why and How to Establish Policy Coordination?," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 56(191), pages 69-88, October-D.
    5. Francesca Pancotto & Filippo Pericoli, 2011. "Till Labor Cost Do Us Part A Vecm Model of Unit Labor Cost Convergence in the Euro Area," Working Papers 14, Doctoral School of Economics, Sapienza University of Rome, revised 2011.
    6. Nicolas Canry & Arnaud Lechevalier, 2006. "Wage share variations in France and Germany since 1970: what does really matter?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00140529, HAL.

  29. Ingrid Größl & Ulrich Fritsche, 2007. "The Store-of-Value-Function of Money as a Component of Household Risk Management," Discussion Papers of DIW Berlin 660, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Jan-Oliver Menz, 2010. "Uncertainty, social norms and consumption theory: Post and New Keynesian approaches," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 7(1), pages 125-146.
    2. Artur Tarassow, 2017. "Forecasting growth of U.S. aggregate and household-sector M2 after 2000 using economic uncertainty measures," Macroeconomics and Finance Series 201702, University of Hamburg, Department of Socioeconomics.

  30. Ulrich Fritsche & Vladimir Kuzin, 2007. "Unit Labor Cost Growth Differentials in the Euro Area, Germany, and the US: Lessons from PANIC and Cluster Analysis," Discussion Papers of DIW Berlin 667, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Helmut Herwartz & Florian Siedenburg, 2013. "To converge or not converge: unit labor cost inflation in the Euro area," Empirical Economics, Springer, vol. 44(2), pages 455-467, April.
    2. Sebastian Dullien & Ulrich Fritsche, 2007. "Anhaltende Divergenz bei Inflations- und Lohnentwicklung in der Eurozone: Gefahr für die Währungsunion?," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 76(4), pages 56-76.
    3. Matei Demetrescu & Uwe Hassler & Adina Tarcolea, 2010. "Testing for stationarity in large panels with cross-dependence, and US evidence on unit labor cost," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(8), pages 1381-1397.
    4. Sondermann, David, 2012. "Productivity in the euro area: any evidence of convergence?," Working Paper Series 1431, European Central Bank.
    5. Stephen Hall & Sérgio Lagoa, 2014. "Inflation and Business Cycle Convergence in the Euro Area: Empirical Analysis Using an Unobserved Component Model," Open Economies Review, Springer, vol. 25(5), pages 885-908, November.

  31. Ingrid Groessl & Ulrich Fritsche, 2007. "Default Option, Risk-Aversion and Household Borrowing Behaviour," Macroeconomics and Finance Series 200705, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Ingrid Groessl & Artur Tarassow, 2018. "A Microfounded Model of Money Demand Under Uncertainty, and some Empirical Evidence," Macroeconomics and Finance Series 201802, University of Hamburg, Department of Socioeconomics.

  32. Fritsche, Ulrich, 2006. "Ergebnisse der ökonometrischen Untersuchung zum Forschungsprojekt Wirtschaftspolitische Regime westlicher Industrienationen," Working Papers 24, Berlin School of Economics and Law, Institute of Management Berlin (IMB).

    Cited by:

    1. Domke, Nicole & Stehr, Melanie, 2008. "Ignorieren oder vorbereiten? Schutz vor Antitrust Verstößen durch "Compliance"-Programme," Working Papers 42, Berlin School of Economics and Law, Institute of Management Berlin (IMB).
    2. Pan, Liu & Junbo, Zhu, 2008. "The management of China's huge foreign reserve and its currency composition," Working Papers 37, Berlin School of Economics and Law, Institute of Management Berlin (IMB).
    3. Pohland, Sven & Hüther, Frank & Badde, Joachim, 2008. "Flexibilisierung von Geschäftsprozessen in der Praxis: Case Study "Westfleisch eG - Einführung einer Service-orientierten Architektur (SOA)"," Working Papers 40, Berlin School of Economics and Law, Institute of Management Berlin (IMB).
    4. Warmdt, Luca & Užik, Martin & Löcher, Markus, 2018. "Financial signaling with open market share repurchases and private redemptions," Working Papers 93, Berlin School of Economics and Law, Institute of Management Berlin (IMB).
    5. Gleißner, Harald A., 2008. "Post-Merger Integration in der Logistik: Vom Erfolg und Misserfolg bei der Zusammenführung von Logistikeinheiten in der Praxis," Working Papers 34, Berlin School of Economics and Law, Institute of Management Berlin (IMB).
    6. Schönbohm, Avo & Hofmann, Ulrike, 2012. "Comprehensive sustainability reporting: A long road to go for German TecDax 30 companies," Working Papers 68, Berlin School of Economics and Law, Institute of Management Berlin (IMB).
    7. Körner, Marita, 2008. "Grenzüberschreitende Arbeitsverhältnisse: Grundlinien des deutschen Internationalen Privatrechts für Arbeitsverträge," Working Papers 36, Berlin School of Economics and Law, Institute of Management Berlin (IMB).
    8. Rüggeberg, Harald & Burmeister, Kjell, 2008. "Innovationsprozesse in kleinen und mittleren Unternehmen," Working Papers 41, Berlin School of Economics and Law, Institute of Management Berlin (IMB).
    9. Tomfort, André, 2006. "The role of the European Union for the financial integration of Eastern Europe," Working Papers 26, Berlin School of Economics and Law, Institute of Management Berlin (IMB).
    10. Zenglein, Max J., 2007. "US wage determination system," Working Papers 32, Berlin School of Economics and Law, Institute of Management Berlin (IMB).
    11. Tomenendal, Matthias & Lange, Hans Rüdiger & Kirch, Johannes & Rosin, Anna Frieda, 2018. "The entrepreneurial development of regions: Exploring the socio-technical transition of Lusatia from a multi-level perspective," Working Papers 94, Berlin School of Economics and Law, Institute of Management Berlin (IMB).

  33. Jörg Döpke & Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2006. "Sticky Information Phillips Curves: European Evidence," Discussion Papers of DIW Berlin 615, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Constantin Bürgi, 2020. "Expectation Formation and the Persistence of Shocks," Working Papers 2020-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Sep 2020.
    2. Hervé Le Bihan & Philippe Andrade, 2010. "Inattentive Professional Forecasters," 2010 Meeting Papers 1144, Society for Economic Dynamics.
    3. Lamla, Michael & Dräger, Lena, 2013. "Imperfect Information and Inflation Expectations: Evidence from Microdata," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79908, Verein für Socialpolitik / German Economic Association.
    4. Carrera, César, 2012. "Estimating Information Rigidity using Firms’ Survey Data," Working Papers 2012-004, Banco Central de Reserva del Perú.
    5. Michael J. Lamla & Sarah M. Lein, 2008. "The Role of Media for Consumers' Inflation Expectation Formation," KOF Working papers 08-201, KOF Swiss Economic Institute, ETH Zurich.
    6. Ricardo Reis, 2008. "A Sticky-Information General Equilibrium Model for Policy Analysis," Working Papers Central Bank of Chile 495, Central Bank of Chile.
    7. Reichlin, Lucrezia & Giannone, Domenico & Lenza, Michele, 2009. "Business Cycles in the Euro Area," CEPR Discussion Papers 7124, C.E.P.R. Discussion Papers.
    8. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    9. Yuriy Gorodnichenko & Olivier Coibion, 2010. "What can survey forecasts tell us about informational rigidities?," 2010 Meeting Papers 277, Society for Economic Dynamics.
    10. Carrera, César & Ramírez-Rondán, Nelson, 2013. "Inflation, Information Rigidity, and the Sticky Information Phillips Curve," Working Papers 2013-017, Banco Central de Reserva del Perú.
    11. Lena Draeger & Michael J. Lamla, 2013. "Imperfect information and inflation expectations," KOF Working papers 13-329, KOF Swiss Economic Institute, ETH Zurich.
    12. N. Gregory Mankiw & Ricardo Reis, 2010. "Imperfect Information and Aggregate Supply," NBER Working Papers 15773, National Bureau of Economic Research, Inc.
    13. Lena Dräger, 2011. "Endogenous Persistence with Recursive Inattentiveness," Macroeconomics and Finance Series 201103, University of Hamburg, Department of Socioeconomics.
    14. Orlando Gomes, 2012. "Transitional Dynamics in Sticky-Information General Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 387-407, April.
    15. Jonas Dovern & Mr. Ulrich Fritsche & Mr. Prakash Loungani & Ms. Natalia T. Tamirisa, 2013. "Information Rigidities in Economic Growth Forecasts: Evidence from a Large International Panel," IMF Working Papers 2013/056, International Monetary Fund.
    16. Huang, Xiaoyong & Jia, Fei & Xu, Xiangyun & Yu shi,, 2019. "The threshold effect of market sentiment and inflation expectations on gold price," Resources Policy, Elsevier, vol. 62(C), pages 77-83.
    17. Jmaes McNeil, 2020. "Monetary policy and the term structure of Inflation expectations with information frictions," Working Papers daleconwp2020-07, Dalhousie University, Department of Economics.
    18. Jensen, Christian, 2014. "Discretionary policy exploiting learning in a sticky-information model of the inflation-output trade-off: Bridging the gap to commitment," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 150-158.
    19. Monique Reid, 2012. "Inflation Expectations of the Inattentive General Public," Working Papers 08/2012, Stellenbosch University, Department of Economics.
    20. Christian Gillitzer, 2015. "The Sticky Information Phillips Curve: Evidence for Australia," RBA Research Discussion Papers rdp2015-04, Reserve Bank of Australia.
    21. Gideon Du Rand & Monique Reid, 2013. "A Sticky Information Phillips Curve for South Africa," Working Papers 381, Economic Research Southern Africa.
    22. Lena Dräger & Michael J. Lamla & Michael Lamla, 2023. "Consumers' Macroeconomic Expectations," CESifo Working Paper Series 10709, CESifo.
    23. Robert L. Czudaj, 2021. "Heterogeneity of Beliefs and Information Rigidity in the Crude Oil Market: Evidence from Survey Data," Chemnitz Economic Papers 050, Department of Economics, Chemnitz University of Technology, revised Sep 2021.
    24. Jonas Dovern & Ulrich Fritsche & Prakash Loungani & Natalia Tamirisa, 2014. "Information Rigidities: Comparing Average And Individual Forecasts For A Large International Panel," Working Papers 2014-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    25. Sidney Martins Caetano & Guilherme Valle Moura, 2011. "Reajuste Informacionalno Brasil: uma aplicação da curva de Phillips sobrigidez de informação," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 54, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    26. Roos, Michael W.M., 2008. "Predicting the macroeconomic effects of abstract and concrete events," European Journal of Political Economy, Elsevier, vol. 24(1), pages 192-201, March.
    27. Tsz H. Hung & Yum K. Kwan, 2022. "Hong Kong's New Keynesian Phillips Curve: Sticky information or sticky price?," Pacific Economic Review, Wiley Blackwell, vol. 27(1), pages 42-55, February.
    28. Gomes, Orlando, 2012. "Thought experimentation and the Phillips curve," Research in Economics, Elsevier, vol. 66(1), pages 45-64.
    29. Bredemeier, Christian & Goecke, Henry, 2011. "Sticky Prices vs. Sticky Information – A Cross-Country Study of Inflation Dynamics," Ruhr Economic Papers 255, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    30. Lucia Alessi & Carsten Detken, 2009. "Global liquidity as an early warning indicator for asset price boom/bust cycles," Research Bulletin, European Central Bank, vol. 8, pages 7-9.
    31. Trabandt, Mathias, 2003. "Sticky Information vs. Sticky Prices : A Horse Race in a DSGE Framework," SFB 373 Discussion Papers 2003,41, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    32. Sun Xiaojin & Tsang Kwok Ping, 2019. "What cycles? Data detrending in DSGE models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(3), pages 1-23, June.
    33. David Marqués Ibañez, 2009. "Banks, credit and the transmission mechanism of monetary policy," Research Bulletin, European Central Bank, vol. 8, pages 2-4.
    34. Vereda, Luciano & Savignon, João & Gouveia da Silva, Tarciso, 2021. "A new method to assess the degree of information rigidity using fixed-event forecasts," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1576-1589.

  34. Jörg Döpke & Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2006. "The Dynamics of European Inflation Expectations," Discussion Papers of DIW Berlin 571, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Pfajfar, D. & Santoro, E., 2012. "News on Inflation and the Epidemiology of Inflation Expectations," Other publications TiSEM 515ee09e-b946-439f-afff-d, Tilburg University, School of Economics and Management.
    2. Pfajfar, Damjan & Santoro, Emiliano, 2010. "Heterogeneity, learning and information stickiness in inflation expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 426-444, September.
    3. Demgensky, Lisa & Fritsche, Ulrich, 2023. "Narratives on the causes of inflation in Germany: First results of a pilot study," WiSo-HH Working Paper Series 77, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    4. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2008. "A Naïve Sticky Information Model of Households’ Inflation Expectations," MPRA Paper 8663, University Library of Munich, Germany.
    5. Lamla, Michael & Dräger, Lena, 2013. "Imperfect Information and Inflation Expectations: Evidence from Microdata," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79908, Verein für Socialpolitik / German Economic Association.
    6. Carrera, César, 2012. "Estimating Information Rigidity using Firms’ Survey Data," Working Papers 2012-004, Banco Central de Reserva del Perú.
    7. Sarah M. Lein & Thomas Maag, 2011. "The Formation Of Inflation Perceptions: Some Empirical Facts For European Countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(2), pages 155-188, May.
    8. 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.
    9. Michael J. Lamla & Sarah M. Lein, 2008. "The Role of Media for Consumers' Inflation Expectation Formation," KOF Working papers 08-201, KOF Swiss Economic Institute, ETH Zurich.
    10. Vijay VICTOR & Maria FEKETE FARKAS & Florence JEESON, 2018. "Inflation unemployment dynamics in Hungary – A structured cointegration and vector error correction model approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(2(615), S), pages 195-204, Summer.
    11. 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.
    12. Jonas Dovern & Joerg Doepke & Ulrich Fritsche & Jirka Slacalek, 2006. "Sticky Information Phillips Curves: European Evidence," Macroeconomics and Finance Series 200604, University of Hamburg, Department of Socioeconomics.
    13. Tomasz Lyziak, 2014. "Inflation expectations in Poland, 2001–2013. Measurement and macroeconomic testing," NBP Working Papers 178, Narodowy Bank Polski.
    14. María del Carmen Ramos-Herrera & Simón Sosvilla-Rivero, 2013. "Inflation expectations in Spain: The Spanish PwC Survey," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 36(101), pages 109-115, Agosto.
    15. Carrera, César & Ramírez-Rondán, Nelson, 2013. "Inflation, Information Rigidity, and the Sticky Information Phillips Curve," Working Papers 2013-017, Banco Central de Reserva del Perú.
    16. Lena Draeger & Michael J. Lamla, 2013. "Imperfect information and inflation expectations," KOF Working papers 13-329, KOF Swiss Economic Institute, ETH Zurich.
    17. N. Gregory Mankiw & Ricardo Reis, 2010. "Imperfect Information and Aggregate Supply," NBER Working Papers 15773, National Bureau of Economic Research, Inc.
    18. Yingying Xu & Zhixin Liu & Zichao Jia & Chi-Wei Su, 2017. "Is time-variant information stickiness state-dependent?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(3), pages 169-187, December.
    19. Lena Dräger, 2011. "Endogenous Persistence with Recursive Inattentiveness," Macroeconomics and Finance Series 201103, University of Hamburg, Department of Socioeconomics.
    20. Vegard H. Larsen & Leif Anders Thorsrud & Julia Zhulanova, 2019. "News-driven inflation expectations and information rigidities," Working Paper 2019/5, Norges Bank.
    21. Dzmitry Kruk, 2016. "SVAR Approach for Extracting Inflation Expectations Given Severe Monetary Shocks: Evidence from Belarus," BEROC Working Paper Series 39, Belarusian Economic Research and Outreach Center (BEROC).
    22. Dräger, Lena & Lamla, Michael J., 2012. "Updating inflation expectations: Evidence from micro-data," Economics Letters, Elsevier, vol. 117(3), pages 807-810.
    23. 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.
    24. Goecke, Henry & Luhan, Wolfgang J. & Roos, Michael W.M., 2013. "Rational inattentiveness in a forecasting experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 80-89.
    25. Lena Dräger & Jan-Oliver Menz & Ulrich Fritsche, 2011. "Perceived Inflation under Loss Aversion," Macroeconomics and Finance Series 201105, University of Hamburg, Department of Socioeconomics.
    26. Lena Dräger & Michael J. Lamla & Michael Lamla, 2023. "Consumers' Macroeconomic Expectations," CESifo Working Paper Series 10709, CESifo.
    27. Ehrmann, M. & Pfajfar, D. & Santoro, E., 2014. "Consumer Attitudes and the Epidemiology of Inflation Expectations," Other publications TiSEM 6078d0e3-07af-48a5-9e8b-6, Tilburg University, School of Economics and Management.
    28. Yingying Xu & Zhixin Liu & Xing Zhang, 2017. "Heterogeneous Or Homogeneous Inflation Expectation Formation Models: A Case Study Of Chinese Households And Financial Participants," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(04), pages 859-874, September.
    29. Drakos, Konstantinos & Konstantinou, Panagiotis Th. & Thoma, Foteini-Anna, 2020. "Inflation uncertainty and inflation expectations: Micro-level evidence from the eurozone," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    30. El-Shagi, Makram, 2011. "Inflation expectations: Does the market beat econometric forecasts?," The North American Journal of Economics and Finance, Elsevier, vol. 22(3), pages 298-319.
    31. Hematy , Maryam & Pedram , Mehdi, 2015. "Threshold Effects in Sticky Information Philips Curve: Evidence from Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 10(1), pages 1-23, January.
    32. Andriantomanga, Zo, 2023. "The role of survey-based expectations in real-time forecasting of US inflation," MPRA Paper 119904, University Library of Munich, Germany.
    33. Rina Rosenblatt-Wisch & Rolf Scheufele, 2015. "Quantification and characteristics of household inflation expectations in Switzerland," Applied Economics, Taylor & Francis Journals, vol. 47(26), pages 2699-2716, June.
    34. Pfajfar, D. & Santoro, E., 2008. "Asymmetries in Inflation Expectation Formation Across Demographic Groups," Cambridge Working Papers in Economics 0824, Faculty of Economics, University of Cambridge.
    35. Sophie Mitra & Chan Shen & Jahnavi Pinnamraju & R. Constance Wiener & Hao Wang & Mona Pathak & Patricia A. Findley & Usha Sambamoorthi, 2024. "Stress Due to Inflation: Changes over Time, Correlates, and Coping Strategies among Working-Age Adults in the United States," IJERPH, MDPI, vol. 21(2), pages 1-16, January.
    36. Emiliano Santoro & Damjan Pfajfar, 2006. "Heterogeneity and learning in inflation expectation formation: an empirical assessment," Department of Economics Working Papers 0607, Department of Economics, University of Trento, Italia.
    37. Breitung, Jörg & Schmeling, Maik, 2011. "Quantifying survey expectations: What's wrong with the probability approach?," Hannover Economic Papers (HEP) dp-485, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    38. Lena Vogel, 2008. "The Relationship between the Hybrid New Keynesian Phillips Curve and the NAIRU over Time," Macroeconomics and Finance Series 200803, University of Hamburg, Department of Socioeconomics.
    39. El-Shagi, Makram, 2009. "Inflation Expectations: Does the Market Beat Professional Forecasts?," IWH Discussion Papers 16/2009, Halle Institute for Economic Research (IWH).
    40. Henry Sabrowski, 2008. "Inflation Expectation Formation of German Consumers: Rational or Adaptive?," Working Paper Series in Economics 100, University of Lüneburg, Institute of Economics.
    41. Xu, Yingying & Chang, Hsu-Ling & Lobonţ, Oana-Ramona & Su, Chi-Wei, 2016. "Modeling heterogeneous inflation expectations: empirical evidence from demographic data?," Economic Modelling, Elsevier, vol. 57(C), pages 153-163.

  35. Sebastian Dullien & Ulrich Fritsche, 2006. "How bad is Divergence in the Euro-Zone? Lessons from the United States of America and Germany," Macroeconomics and Finance Series 200605, University of Hamburg, Department of Socioeconomics.

    Cited by:

    1. Alberto Botta, 2014. "Structural Asymmetries at the Roots of the Eurozone Crisis: What’s New for Industrial Policy in the EU?," Economics Working Paper Archive wp_794, Levy Economics Institute.

  36. Slacalek, Jirka & Fritsche, Ulrich & Dovern, Jonas & Döpke, Jörg, 2005. "European inflation expectations dynamics," Discussion Paper Series 1: Economic Studies 2005,37, Deutsche Bundesbank.

    Cited by:

    1. Frey, Rainer & Hussinger, Katrin, 2006. "The Role of Technology in M&As: A Firm Level Comparison of Cross-Border and Domestic Deals," ZEW Discussion Papers 06-069, ZEW - Leibniz Centre for European Economic Research.
    2. Tomasz Lyziak, 2010. "Measuring consumer inflation expectations in Europe and examining their forward-lookingness," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 155-201, Bank for International Settlements.
    3. Koetter, Michael, 2005. "Evaluating the German bank merger wave," Discussion Paper Series 2: Banking and Financial Studies 2005,12, Deutsche Bundesbank.
    4. Hoffmann, Johannes & Kurz-Kim, Jeong-Ryeol, 2006. "Consumer price adjustment under the microscope: Germany in a period of low inflation," Discussion Paper Series 1: Economic Studies 2006,16, Deutsche Bundesbank.
    5. Koetter, Michael & Karmann, Alexander & Fiorentino, Elisabetta, 2006. "The cost efficiency of German banks: a comparison of SFA and DEA," Discussion Paper Series 2: Banking and Financial Studies 2006,10, Deutsche Bundesbank.
    6. Hamerle, Alfred & Knapp, Michael & Liebig, Thilo & Wildenauer, Nicole, 2005. "Incorporating prediction and estimation risk in point-in-time credit portfolio models," Discussion Paper Series 2: Banking and Financial Studies 2005,13, Deutsche Bundesbank.
    7. Jonas Dovern & Joerg Doepke & Ulrich Fritsche & Jirka Slacalek, 2006. "Sticky Information Phillips Curves: European Evidence," Macroeconomics and Finance Series 200604, University of Hamburg, Department of Socioeconomics.
    8. von Westernhagen, Natalja & Porath, Daniel & Hayden, Evelyn, 2006. "Does diversification improve the performance of German banks? Evidence from individual bank loan portfolios," Discussion Paper Series 2: Banking and Financial Studies 2006,05, Deutsche Bundesbank.
    9. Joerg Breitung & M. Hashem Pesaran, 2005. "Unit Roots and Cointegration in Panels," CESifo Working Paper Series 1565, CESifo.
    10. Luis J. Álvarez & Emmanuel Dhyne & Marco M. Hoeberichts & Claudia Kwapil & Hervé le Bihan & Patrick Lünnemann & Fernando Martins & Roberto Sabbatini & Harald Stahl & Philip Vermeulen & Jouko Vilmunen, 2005. "Sticky prices in the euro area: a summary of new micro evidence," Working Papers 0542, Banco de España.
    11. Ullrich, Katrin, 2008. "Inflation expectations of experts and ECB communication," The North American Journal of Economics and Finance, Elsevier, vol. 19(1), pages 93-108, March.
    12. Pierdzioch, Christian & Döpke, Jörg & Hartmann, Daniel, 2008. "Forecasting stock market volatility with macroeconomic variables in real time," Journal of Economics and Business, Elsevier, vol. 60(3), pages 256-276.
    13. Kitov, Ivan, 2007. "Exact prediction of inflation and unemployment in Germany," MPRA Paper 5088, University Library of Munich, Germany.
    14. Hakenes, Hendrik & Fecht, Falko, 2006. "Money market derivatives and the allocation of liquidity risk in the banking sector," Discussion Paper Series 2: Banking and Financial Studies 2006,12, Deutsche Bundesbank.
    15. Arnold, Ivo J. M. & Kool, Clemens J. M. & Raabe, Katharina, 2006. "Industries and the bank lending effects of bank credit demand and monetary policy in Germany," Discussion Paper Series 1: Economic Studies 2006,48, Deutsche Bundesbank.
    16. Herrmann, Sabine & Jochem, Axel, 2005. "Trade balances of the central and east European EU member states and the role of foreign direct investment," Discussion Paper Series 1: Economic Studies 2005,41, Deutsche Bundesbank.
    17. Jadwiga Berbeka, 2006. "Konsekwencje wprowadzania euro w Polsce dla konsumentów indywidualnych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 10, pages 81-99.
    18. Döpke, Jörg & Hartmann, Daniel & Pierdzioch, Christian, 2006. "Real-time macroeconomic data and ex ante predictability of stock returns," Discussion Paper Series 1: Economic Studies 2006,10, Deutsche Bundesbank.
    19. Knetsch, Thomas A., 2006. "Forecasting the price of crude oil via convenience yield predictions," Discussion Paper Series 1: Economic Studies 2006,12, Deutsche Bundesbank.
    20. Krystian Mucha, 2010. "Czynniki wyjaśniające zjawisko luki percepcji wśród konsumentów w okresie przyjmowania euro," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1-2, pages 67-87.
    21. Knetsch, Thomas A., 2005. "Short-run and long-run comovement of GDP and some expenditure aggregates in Germany, France and Italy," Discussion Paper Series 1: Economic Studies 2005,39, Deutsche Bundesbank.
    22. Bohl, Martin T. & Döpke, Jörg & Pierdzioch, Christian, 2006. "Real-time forecasting and political stock market anomalies: evidence for the U.S," Discussion Paper Series 1: Economic Studies 2006,22, Deutsche Bundesbank.
    23. Stahn, Kerstin, 2006. "Has the impact of key determinants of German exports changed? Results from estimations of Germany's intra euro-area and extra euro-area exports," Discussion Paper Series 1: Economic Studies 2006,07, Deutsche Bundesbank.
    24. Robert Jäckle & Georg Wamser, 2010. "Going Multinational: What are the Effects on Home‐Market Performance?," German Economic Review, Verein für Socialpolitik, vol. 11(2), pages 188-207, May.
    25. Roos, Michael W.M., 2008. "Predicting the macroeconomic effects of abstract and concrete events," European Journal of Political Economy, Elsevier, vol. 24(1), pages 192-201, March.
    26. Ziegler, Christina & Eickmeier, Sandra, 2006. "How good are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Discussion Paper Series 1: Economic Studies 2006,42, Deutsche Bundesbank.
    27. Falko Fecht & Hans Grüner, 2008. "Limits to International Banking Consolidation," Open Economies Review, Springer, vol. 19(5), pages 651-666, November.
    28. Fisch, Jan Hendrik, 2006. "Internalization and internationalization under copeting real options," Discussion Paper Series 1: Economic Studies 2006,15, Deutsche Bundesbank.
    29. Stahn, Kerstin, 2006. "Has the export pricing behaviour of German enterprises changed? Empirical evidence from German sectoral prices," Discussion Paper Series 1: Economic Studies 2006,37, Deutsche Bundesbank.

  37. Georg Erber & Ulrich Fritsche, 2005. "Estimating and Forecasting Aggregate Productivity Growth Trends in the US and Germany," Discussion Papers of DIW Berlin 471, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. van Norden, Simon, 2011. "Current trends in the analysis of Canadian productivity growth," The North American Journal of Economics and Finance, Elsevier, vol. 22(1), pages 5-25, January.
    2. Calcagnini, Giorgio & Travaglini, Giuseppe, 2014. "A time series analysis of labor productivity. Italy versus the European countries and the U.S," Economic Modelling, Elsevier, vol. 36(C), pages 622-628.
    3. Alexander Murray, 2017. "What Explains the Post-2004 U.S.Productivity Slowdown?," CSLS Research Reports 2017-05, Centre for the Study of Living Standards.

  38. Ulrich Fritsche & Jörg Döpke, 2005. "Forecast Errors and the Macroeconomy: A Non-Linear Relationship?," Discussion Papers of DIW Berlin 498, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Pacheco, Luis, 2010. "ECB Projections: should leave it to the pros?," Working Papers 11/2010, Universidade Portucalense, Centro de Investigação em Gestão e Economia (CIGE).
    2. Birger Antholz, 2006. "Geschichte der quantitativen Konjunkturprognose-Evaluation in Deutschland," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 75(2), pages 12-33.

  39. Jan Gottschalk & Ulrich Fritsche, 2005. "The New Keynesian Model and the Long-Run Vertical Phillips Curve: Does It Hold for Germany?," Discussion Papers of DIW Berlin 521, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Graham, Liam & Snower, Dennis J., 2008. "Hyperbolic Discounting and the Phillips Curve," IZA Discussion Papers 3477, Institute of Labor Economics (IZA).
    2. Liam Graham & Dennis J. Snower, 2008. "Hyperbolic Discounting and the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 427-448, March.
    3. Ahrens, Steffen & Snower, Dennis J., 2014. "Envy, guilt, and the Phillips curve," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 69-84.
    4. Daniel Kienzler & Kai D. Schmid, 2014. "Hysteresis in Potential Output and Monetary Policy," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(4), pages 371-396, September.
    5. Kitov, Ivan, 2007. "Exact prediction of inflation and unemployment in Germany," MPRA Paper 5088, University Library of Munich, Germany.
    6. Annabelle Mourougane, 2017. "Crisis, potential output and hysteresis," International Economics, CEPII research center, issue 149, pages 1-14.
    7. Daniel Kienzler & Kai Daniel Schmid, 2013. "Monetary Policy and Hysteresis in Potential Output," IMK Working Paper 116-2013, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    8. Ulrich Fritsche & Vladimir Kuzin, 2007. "Unit Labor Cost Growth Differentials in the Euro Area, Germany, and the US: Lessons from PANIC and Cluster Analysis," Discussion Papers of DIW Berlin 667, DIW Berlin, German Institute for Economic Research.
    9. Jarmila Botev & Annabelle Mourougane, 2017. "Fiscal Consolidation: What Are the Breakeven Fiscal Multipliers?," CESifo Economic Studies, CESifo Group, vol. 63(3), pages 295-316.
    10. Sharif, Bushra & Qayyum, Abdul, 2018. "Estimating the Inflation-Output Gap Trade-Off with Triangle Model in Pakistan," MPRA Paper 91166, University Library of Munich, Germany.

  40. Jörg Döpke & Ulrich Fritsche, 2004. "Growth and Inflation Forecasts for Germany: An Assessment of Accuracy and Dispersion," Discussion Papers of DIW Berlin 399, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Gern, Klaus-Jürgen & Oskamp, Frank & Sander, Birgit & Scheide, Joachim & Schweickert, Rainer & Boss, Alfred & Dovern, Jonas & Meier, Carsten-Patrick & Oskamp, Frank, 2006. "Weltkonjunktur und deutsche Konjunktur im Frühjahr 2006," Kiel Discussion Papers 424/425, Kiel Institute for the World Economy (IfW Kiel).
    2. Frank-Oliver Aldenhoff, 2007. "Are economic forecasts of the International Monetary Fund politically biased? A public choice analysis," The Review of International Organizations, Springer, vol. 2(3), pages 239-260, September.
    3. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    4. Boss, Alfred & Dovern, Jonas & Meier, Carsten-Patrick & Oskamp, Frank & Scheide, Joachim, 2006. "Kräftiger, aber nur kurzer Aufschwung in Deutschland," Open Access Publications from Kiel Institute for the World Economy 3930, Kiel Institute for the World Economy (IfW Kiel).
    5. Birger Antholz, 2006. "Geschichte der quantitativen Konjunkturprognose-Evaluation in Deutschland," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 75(2), pages 12-33.

  41. Ulrich Fritsche & Vladimir Kuzin, 2004. "Declining Output Volatility in Germany: Impulses, Propagation, and the Role of Monetary Policy," Discussion Papers of DIW Berlin 433, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Christian Aßmann & Jens Hogrefe & Roman Liesenfeld, 2009. "The decline in German output volatility: a Bayesian analysis," Empirical Economics, Springer, vol. 37(3), pages 653-679, December.
    2. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    3. Magnus Reif, 2021. "Time-Varying Dynamics of the German Business Cycle: A Comprehensive Investigation," CESifo Working Paper Series 9271, CESifo.
    4. Wolf Heinrich Reuter & Oļegs Tkačevs & Kārlis Vilerts, 2022. "Fiscal rules and volatility: the role of stabilising properties and compliance," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(1), pages 21-52, February.
    5. Konstantin A. Kholodilin & Erik Klär, 2007. "Dem Konjunkturzyklus auf der Spur: zur Prognose konjunktureller Wendepunkte in Deutschland," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 76(4), pages 8-20.

  42. Ulrich Fritsche & Vladimir Kuzin, 2002. "Do Leading Indicators Help to Predict Business Cycle Turning Points in Germany?," Discussion Papers of DIW Berlin 314, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. 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.
    2. Michael J. Lamla & Sarah M. Lein & Jan-Egbert Sturm, 2020. "Media reporting and business cycles: empirical evidence based on news data," Empirical Economics, Springer, vol. 59(3), pages 1085-1105, September.
    3. Robert Lehmann, 2020. "The Forecasting Power of the ifo Business Survey," CESifo Working Paper Series 8291, CESifo.
    4. Claus Brand & Hans-Eggert Reimers & Franz Seitz, 2003. "Narrow Money and the Business Cycle: Theoretical aspects and euro area evdence," Macroeconomics 0303012, University Library of Munich, Germany.
    5. Brand, Claus & Reimers, Hans-Eggert & Seitz, Franz, 2003. "Forecasting real GDP: what role for narrow money?," Working Paper Series 254, European Central Bank.
    6. Cruz-Rodríguez, Alexis, 2015. "Sostenibilidad fiscal y crisis cambiarias: Un análisis empírico [Fiscal sustainability and currency crises: An empirical analysis]," MPRA Paper 67741, University Library of Munich, Germany.
    7. Cruz-Rodriguez, Alexis, 2014. "¿Puede un índice de sostenibilidad fiscal predecir la ocurrencia de crisis cambiarias? Evidencias para algunos países seleccionados [Can a fiscal sustainability indicator predict the occurrence of ," MPRA Paper 54103, University Library of Munich, Germany.

  43. Ulrich Fritsche & Camille Logeay, 2002. "Structural Unemployment and the Output Gap in Germany: Evidence from an SVAR Analysis within a Hysteresis Framework," Discussion Papers of DIW Berlin 312, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Alexander Karsay, 2021. "Fates of indebted households during the Corona crisis: Survey results from Slovakia," Working and Discussion Papers WP 1/2021, Research Department, National Bank of Slovakia.
    2. Kappler, Marcus, 2007. "Projecting the Medium-Term: Outcomes and Errors for GDP Growth," ZEW Discussion Papers 07-068, ZEW - Leibniz Centre for European Economic Research.
    3. Ulrich Fritsche & Vladimir Kuzin, 2007. "Unit Labor Cost Growth Differentials in the Euro Area, Germany, and the US: Lessons from PANIC and Cluster Analysis," Discussion Papers of DIW Berlin 667, DIW Berlin, German Institute for Economic Research.
    4. Thomas Brenner & Matthias Duschl, 2015. "Causal dynamic effects in regional systems of technological activities: a SVAR approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(1), pages 103-130, October.
    5. Matthias Duschl & Thomas Brenner, 2013. "Growth dynamics in regional systems of technological activities – A SVAR approach," Working Papers on Innovation and Space 2013-12, Philipps University Marburg, Department of Geography.
    6. Houda Ben Hadj Boubaker, 2011. "Inflation Forecast-Based Rule for Inflation Targeting: Case of Some Selected MENA Countries," Working Papers 628, Economic Research Forum, revised 09 Jan 2011.

  44. Ulrich Fritsche & Felix Marklein, 2001. "Leading Indicators of Euroland Business Cycles," Discussion Papers of DIW Berlin 238, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Radoslaw Kurach, 2012. "Stocks, Commodities And Business Cycle Fluctuations – Seeking The Diversification Benefits," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 7(4), pages 101-116, December.

  45. Ulrich Fritsche, 2001. "Do Probit Models Help in Forecasting Turning Points in German Business Cycles?," Discussion Papers of DIW Berlin 241, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe & Sascha O. Becker, 2007. "Mikrodaten im ifo Institut für Wirtschaftsforschung: Bestand, Verwendung, Zugang," ifo Working Paper Series 44, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Benner, Joachim & Meier, Carsten-Patrick, 2005. "Was leisten Stimmungsindikatoren für die Prognose des realen Bruttoinlandsprodukts in Deutschland? Eine Echtzeit-Analyse," Open Access Publications from Kiel Institute for the World Economy 3725, Kiel Institute for the World Economy (IfW Kiel).
    3. Sascha Becker & Klaus Wohlrabe & Sascha O. Becker, 2007. "Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," ifo Working Paper Series 47, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Benner Joachim & Meier Carsten-Patrick, 2004. "Prognosegüte alternativer Früh Indikatoren für die Konjunktur in Deutschland / Forecasting Performance of Alternative Indicators for the German Economy," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(6), pages 639-652, December.
    5. Benner, Joachim & Meier, Carsten-Patrick, 2003. "Prognosegüte alternativer Frühindikatoren für die Konjunktur in Deutschland," Kiel Working Papers 1139, Kiel Institute for the World Economy (IfW Kiel).

  46. Ulrich Fritsche & Sabine Stephan, 2000. "Leading Indicators of German Business Cycles: An Assessment of Properties," Discussion Papers of DIW Berlin 207, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Ulrich Fritsche & Felix Marklein, 2001. "Leading Indicators of Euroland Business Cycles," Macroeconomics 0012021, University Library of Munich, Germany.
    3. Kholodilin Konstantin Arkadievich & Siliverstovs Boriss, 2006. "On the Forecasting Properties of the Alternative Leading Indicators for the German GDP: Recent Evidence," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(3), pages 234-259, June.
    4. Ulrich Fritsche, 2001. "Do Probit Models Help in Forecasting Turning Points in German Business Cycles?," Discussion Papers of DIW Berlin 241, DIW Berlin, German Institute for Economic Research.
    5. Theobald, Thomas, 2013. "Markov Switching with Endogenous Number of Regimes and Leading Indicators in a Real-Time Business Cycle Forecast," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79911, Verein für Socialpolitik / German Economic Association.
    6. Kholodilin Konstantin A., 2005. "Forecasting the German Cyclical Turning Points: Dynamic Bi-Factor Model with Markov Switching," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(6), pages 653-674, December.
    7. Hüfner, Felix P. & Lahl, David, 2003. "What Determines the ZEW Indicator?," ZEW Discussion Papers 03-48, ZEW - Leibniz Centre for European Economic Research.
    8. Agne Reklaite, 2011. "Coincident, leading and recession indexes for the Lithuanian economy," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 11(1), pages 91-108, July.
    9. Konstantin A. Kholodilin, 2005. "Forecasting the Turns of German Business Cycle: Dynamic Bi-factor Model with Markov Switching," Discussion Papers of DIW Berlin 494, DIW Berlin, German Institute for Economic Research.
    10. Ulrich Fritsche & Vladimir Kuzin, 2002. "Do Leading Indicators Help to Predict Business Cycle Turning Points in Germany?," Discussion Papers of DIW Berlin 314, DIW Berlin, German Institute for Economic Research.
    11. Michael J. Lamla & Sarah M. Lein & Jan-Egbert Sturm, 2007. "News and Sectoral Comovement," KOF Working papers 07-183, KOF Swiss Economic Institute, ETH Zurich.
    12. Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe & Sascha O. Becker, 2007. "Mikrodaten im ifo Institut für Wirtschaftsforschung: Bestand, Verwendung, Zugang," ifo Working Paper Series 44, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    13. Weinert, Günter, 2003. "Zwischen Hoffen und Bangen - Konjunktur 2003," HWWA Reports 224, Hamburg Institute of International Economics (HWWA).
    14. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics 84736, University of Munich, Department of Economics.
    15. Thomas Theobald, 2012. "Real-time Markov Switching and Leading Indicators in Times of the Financial Crisis," IMK Working Paper 98-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    16. Benner, Joachim & Meier, Carsten-Patrick, 2005. "Was leisten Stimmungsindikatoren für die Prognose des realen Bruttoinlandsprodukts in Deutschland? Eine Echtzeit-Analyse," Open Access Publications from Kiel Institute for the World Economy 3725, Kiel Institute for the World Economy (IfW Kiel).
    17. Hüfner, Felix P. & Schröder, Michael, 2001. "Unternehmens- versus Analystenbefragungen: Zum Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen," ZEW Discussion Papers 01-04, ZEW - Leibniz Centre for European Economic Research.
    18. Jurevičienė Daiva & Rauličkis Darius, 2016. "Identification of Indicators’ Applicability to Settle Borrowers’ Probability of Default," Economics and Culture, Sciendo, vol. 13(1), pages 53-64, June.
    19. Dovern, Jonas, 2006. "Predicting GDP components: do leading indicators increase predictability?," Kiel Advanced Studies Working Papers 436, Kiel Institute for the World Economy (IfW Kiel).
    20. Timotej Jagric, 2003. "Forecasting with leading economic indicators - a non-linear approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2003(1), pages 68-83.
    21. Harm Bandholz & Michael Funke, 2003. "In Search of Leading Indicators of Economic Activity in Germany," Quantitative Macroeconomics Working Papers 20307, Hamburg University, Department of Economics.
    22. Schröder, Michael & Hüfner, Felix P., 2002. "Forecasting economic activity in Germany: how useful are sentiment indicators?," ZEW Discussion Papers 02-56, ZEW - Leibniz Centre for European Economic Research.
    23. Hüfner Felix P. & Schröder Michael, 2002. "Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen: Ein ökonometrischer Vergleich / Forecasting German industrial Production: An Econometric Comparison of ifo- and ZEW-Business ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 222(3), pages 316-336, June.
    24. Christian Schumacher, 2007. "Forecasting German GDP using alternative factor models based on large datasets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(4), pages 271-302.
    25. Christian Schulz, 2007. "Forecasting economic growth for Estonia : application of common factor methodologies," Bank of Estonia Working Papers 2007-09, Bank of Estonia, revised 04 Sep 2007.
    26. Benner Joachim & Meier Carsten-Patrick, 2004. "Prognosegüte alternativer Früh Indikatoren für die Konjunktur in Deutschland / Forecasting Performance of Alternative Indicators for the German Economy," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(6), pages 639-652, December.
    27. Timotej Jagric & Sebastjan Strasek, 2005. "A Nonlinear Extension Of The Nber Model For Short‐Run Forecasting Of Business Cycles," South African Journal of Economics, Economic Society of South Africa, vol. 73(3), pages 435-448, September.
    28. Hinze, Jorg, 2003. "Prognoseleistung von Fruhindikatoren: Die Bedeutung von Fruhindikatoren fur Konjunk-turprognosen - Eine Analyse fur Deutschland," Discussion Paper Series 26253, Hamburg Institute of International Economics.
    29. Ulrich FRITSCHE & Vladimir KOUZINE, 2010. "Prediction of Business Cycle Turning Points in Germany," EcoMod2004 330600054, EcoMod.
    30. Shikha Gupta & Nand Kumar, 2021. "Dynamics of globalization effect in India," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1394-1406, September.
    31. Benner, Joachim & Meier, Carsten-Patrick, 2003. "Prognosegüte alternativer Frühindikatoren für die Konjunktur in Deutschland," Kiel Working Papers 1139, Kiel Institute for the World Economy (IfW Kiel).
    32. Vogt Gerit, 2007. "Analyse der Prognoseeigenschaften von ifo-Konjunkturindikatoren unter Echtzeitbedingungen / The Forecasting Performance of ifo-indicators Under Real-time Conditions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(1), pages 87-101, February.

  47. Ulrich Fritsche, 1999. "Vorlaufeigenschaften von Ifo-Indikatoren für Westdeutschland," Discussion Papers of DIW Berlin 179, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Robert Lehmann, 2020. "The Forecasting Power of the ifo Business Survey," CESifo Working Paper Series 8291, CESifo.
    2. Richard Etter & Michael Graff, 2003. "Estimating and Forecasting Production and Orders in Manufacturing Industry from Business Survey Data: Evidence from Switzerland, 1990-2003," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(IV), pages 507-533, December.
    3. Hüfner, Felix P. & Lahl, David, 2003. "What Determines the ZEW Indicator?," ZEW Discussion Papers 03-48, ZEW - Leibniz Centre for European Economic Research.
    4. Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe & Sascha O. Becker, 2007. "Mikrodaten im ifo Institut für Wirtschaftsforschung: Bestand, Verwendung, Zugang," ifo Working Paper Series 44, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    5. Benner, Joachim & Meier, Carsten-Patrick, 2005. "Was leisten Stimmungsindikatoren für die Prognose des realen Bruttoinlandsprodukts in Deutschland? Eine Echtzeit-Analyse," Open Access Publications from Kiel Institute for the World Economy 3725, Kiel Institute for the World Economy (IfW Kiel).
    6. Hüfner, Felix P. & Schröder, Michael, 2001. "Unternehmens- versus Analystenbefragungen: Zum Prognosegehalt von ifo-Geschäftserwartungen und ZEW-Konjunkturerwartungen," ZEW Discussion Papers 01-04, ZEW - Leibniz Centre for European Economic Research.
    7. Schröder, Michael & Hüfner, Felix P., 2002. "Forecasting economic activity in Germany: how useful are sentiment indicators?," ZEW Discussion Papers 02-56, ZEW - Leibniz Centre for European Economic Research.
    8. Hinze, Jörg, 2003. "Prognoseleistung von Frühindikatoren: Die Bedeutung von Frühindikatoren für Konjunkturprognosen - Eine Analyse für Deutschland," HWWA Discussion Papers 236, Hamburg Institute of International Economics (HWWA).
    9. Sascha Becker & Klaus Wohlrabe & Sascha O. Becker, 2007. "Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," ifo Working Paper Series 47, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    10. Benner Joachim & Meier Carsten-Patrick, 2004. "Prognosegüte alternativer Früh Indikatoren für die Konjunktur in Deutschland / Forecasting Performance of Alternative Indicators for the German Economy," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(6), pages 639-652, December.
    11. Hinze, Jorg, 2003. "Prognoseleistung von Fruhindikatoren: Die Bedeutung von Fruhindikatoren fur Konjunk-turprognosen - Eine Analyse fur Deutschland," Discussion Paper Series 26253, Hamburg Institute of International Economics.
    12. Werner Hölzl & Gerhard Schwarz, 2014. "Der WIFO-Konjunkturtest: Methodik und Prognoseeigenschaften," WIFO Monatsberichte (monthly reports), WIFO, vol. 87(12), pages 835-850, December.
    13. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.
    14. Christian Seiler, 2009. "Prediction Qualities of the Ifo Indicators on a Temporal Disaggregated German GDP," ifo Working Paper Series 67, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    15. Benner, Joachim & Meier, Carsten-Patrick, 2003. "Prognosegüte alternativer Frühindikatoren für die Konjunktur in Deutschland," Kiel Working Papers 1139, Kiel Institute for the World Economy (IfW Kiel).

  48. Schumacher, Christian & Loose, Brigitte & Langmantel, Erich & Gottschalk, Jan & Fritsche, Ulrich & Döpke, Jörg, 1999. "Indikatoren zur Prognose der Investitionen in Deutschland," Kiel Working Papers 906, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. 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, October.
    2. Boss, Alfred & Gottschalk, Jan & Kamps, Christophe & Meier, Carsten-Patrick & Scheide, Joachim & Schmidt, Rainer & Strauß, Hubert, 1999. "Erholung der deutschen Konjunktur," Open Access Publications from Kiel Institute for the World Economy 2292, Kiel Institute for the World Economy (IfW Kiel).
    3. Döhrn, Roland & Barabas, György & Gebhardt, Heinz & Kitlinski, Tobias & Micheli, Martin & Schmidt, Torsten & Vosen, Simeon & Zwick, Lina, 2012. "Die wirtschaftliche Entwicklung im Inland: Gedämpfte Expansion bei hohen Risiken," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 63(2), pages 41-97.
    4. Anna Billharz & Steffen Elstner & Marcus Jüppner, 2012. "Ifo Short-Term Forecasting Methods Illustrated Using Investment in Equipment," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(21), pages 24-33, November.
    5. Boss, Alfred & Döpke, Jörg & Gottschalk, Jan & Kamps, Christophe & Meier, Carsten-Patrick & Scheide, Joachim & Schmidt, Rainer & Strauß, Hubert, 1999. "Produktionsabschwächung in Deutschland nur vorübergehend," Open Access Publications from Kiel Institute for the World Economy 2261, Kiel Institute for the World Economy (IfW Kiel).

Articles

  1. Diaf, Sami & Döpke, Jörg & Fritsche, Ulrich & Rockenbach, Ida, 2022. "Sharks and minnows in a shoal of words: Measuring latent ideological positions based on text mining techniques," European Journal of Political Economy, Elsevier, vol. 75(C).

    Cited by:

    1. Mohammad Reza Farzanegan & Hassan F. Gholipour, 2021. "Covid-19 Fatalities and Internal Conflict: Does Government Economic Support Matter?," CESifo Working Paper Series 9352, CESifo.
    2. Renáta Németh, 2023. "A scoping review on the use of natural language processing in research on political polarization: trends and research prospects," Journal of Computational Social Science, Springer, vol. 6(1), pages 289-313, April.

  2. Döpke Jörg & Fritsche Ulrich & Waldhof Gabi, 2019. "Theories, Techniques and the Formation of German Business Cycle Forecasts : Evidence from a survey of professional forecasters," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(2), pages 203-241, April.
    See citations under working paper version above.
  3. Döpke, Jörg & Fritsche, Ulrich & Müller, Karsten, 2019. "Has macroeconomic forecasting changed after the Great Recession? Panel-based evidence on forecast accuracy and forecaster behavior from Germany," Journal of Macroeconomics, Elsevier, vol. 62(C).

    Cited by:

    1. Müller, Karsten, 2020. "German forecasters' narratives: How informative are German business cycle forecast reports?," Working Papers 23, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    2. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    3. Christina Anderl & Guglielmo Maria Caporale, 2023. "Forecasting inflation with a zero lower bound or negative interest rates: Evidence from point and density forecasts," Manchester School, University of Manchester, vol. 91(3), pages 171-232, June.
    4. Yoichi Tsuchiya, 2022. "Evaluating plant managers’ production plans over business cycles: asymmetric loss and rationality," SN Business & Economics, Springer, vol. 2(8), pages 1-29, August.
    5. Glocker, Christian & Kaniovski, Serguei, 2020. "Structural modeling and forecasting using a cluster of dynamic factor models," MPRA Paper 101874, University Library of Munich, Germany.
    6. Jakub Rybacki & Michał Gniazdowski, 2023. "Macroeconomic forecasting in Poland: lessons from the external shocks," Bank i Kredyt, Narodowy Bank Polski, vol. 54(1), pages 45-64.
    7. Heinisch, Katja & Behrens, Christoph & Döpke, Jörg & Foltas, Alexander & Fritsche, Ulrich & Köhler, Tim & Müller, Karsten & Puckelwald, Johannes & Reichmayr, Hannes, 2023. "The IWH Forecasting Dashboard: From forecasts to evaluation and comparison," IWH Technical Reports 1/2023, Halle Institute for Economic Research (IWH).

  4. Georg Erber & Ulrich Fritsche & Patrick Christian Harms, 2017. "The Global Productivity Slowdown: Diagnosis, Causes and Remedies," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 52(1), pages 45-50, January.

    Cited by:

    1. Jaana Remes, Jan Mischke and Mekala Krishnan, 2018. "Solving the Productivity Puzzle: The Role of Demand and the Promise of Digitization," International Productivity Monitor, Centre for the Study of Living Standards, vol. 34, pages 28-51, Fall.
    2. Julius Probst, 2019. "Lawrence Summers Deserves a Nobel Prize for Reviving the Theory of Secular Stagnation," Econ Journal Watch, Econ Journal Watch, vol. 16(2), pages 342–373-3, September.
    3. Lafond, François & Goldin, Ian & Koutroumpis, Pantelis & Winkler, Julian, 2022. "Why is productivity slowing down?," INET Oxford Working Papers 2022-08, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    4. Bergins, Adele & McGuinness, Seamus, 2022. "Modelling productivity levels in Ireland and Northern Ireland," Research Series, Economic and Social Research Institute (ESRI), number RS152, June.

  5. Enzo Weber & Steffen Elstner & Christoph M. Schmidt & Ulrich Fritsche & Patrick Christian Harms & Marianne Saam & Jochen Hartwig & Hagen Krämer, 2017. "Schwaches Produktivitätswachstum — zyklisches oder strukturelles Phänomen? [Weak Productivity Growth — A Cyclical or Structural Phenomenon?]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 97(2), pages 83-102, February.

    Cited by:

    1. Tobias Gruhle & Philipp Harms, 2019. "Producer Services and the Current Account," Working Papers 1906, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.

  6. Ulrich Fritsche & Christian Pierdzioch, 2017. "Animal spirits, the stock market, and the unemployment rate: Some evidence for German data," Economics Bulletin, AccessEcon, vol. 37(1), pages 204-213.
    See citations under working paper version above.
  7. Döpke, Jörg & Fritsche, Ulrich & Pierdzioch, Christian, 2017. "Predicting recessions with boosted regression trees," International Journal of Forecasting, Elsevier, vol. 33(4), pages 745-759.
    See citations under working paper version above.
  8. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    See citations under working paper version above.
  9. Dovern, Jonas & Fritsche, Ulrich & Loungani, Prakash & Tamirisa, Natalia, 2015. "Information rigidities: Comparing average and individual forecasts for a large international panel," International Journal of Forecasting, Elsevier, vol. 31(1), pages 144-154.
    See citations under working paper version above.
  10. Lena Dr䧥r & Jan-Oliver Menz & Ulrich Fritsche, 2014. "Perceived inflation under loss aversion," Applied Economics, Taylor & Francis Journals, vol. 46(3), pages 282-293, January.
    See citations under working paper version above.
  11. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph R�lke & Georg Stadtmann, 2014. "A Note on Forecasting the Euro: Do Forecasters Have an Asymmetric Loss Function?," International Economic Journal, Taylor & Francis Journals, vol. 28(2), pages 333-343, June.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
    2. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.
    3. Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "On the directional accuracy of forecasts of emerging market exchange rates," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 369-376.
    4. Kiss, Tamás & Kladívko, Kamil & Silfverberg, Oliwer & Österholm, Pär, 2023. "Market participants or the random walk – who forecasts better? Evidence from micro-level survey data," Finance Research Letters, Elsevier, vol. 54(C).
    5. Giovannelli, Alessandro & Pericoli, Filippo Maria, 2020. "Are GDP forecasts optimal? Evidence on European countries," International Journal of Forecasting, Elsevier, vol. 36(3), pages 963-973.

  12. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph R�lke & Georg Stadtmann, 2013. "On the directional accuracy of survey forecasts: the case of gold and silver," Applied Economics Letters, Taylor & Francis Journals, vol. 20(12), pages 1127-1129, August.

    Cited by:

    1. Li, Wenlan & Cheng, Yuxiang & Fang, Qiang, 2020. "Forecast on silver futures linked with structural breaks and day-of-the-week effect," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    2. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.
    3. Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "On the directional accuracy of forecasts of emerging market exchange rates," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 369-376.
    4. Mihaylov, George & Cheong, Chee Seng & Zurbruegg, Ralf, 2015. "Can security analyst forecasts predict gold returns?," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 237-246.
    5. Y. Tsuchiya, 2014. "Are consumer sentiments useful in Japan? An application of a new market-timing test," Applied Economics Letters, Taylor & Francis Journals, vol. 21(5), pages 356-359, March.
    6. Gerritsen, Dirk F. & Lugtigheid, Rick A.C. & Walther, Thomas, 2022. "Can Bitcoin Investors Profit from Predictions by Crypto Experts?," Finance Research Letters, Elsevier, vol. 46(PA).

  13. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
    See citations under working paper version above.
  14. Ulrich Fritsche & Vladimir Kuzin, 2011. "Analysing convergence in Europe using the non-linear single factor model," Empirical Economics, Springer, vol. 41(2), pages 343-369, October.
    See citations under working paper version above.
  15. Jörg Döpke & Ulrich Fritsche & Boriss Siliverstovs, 2010. "Evaluating German business cycle forecasts under an asymmetric loss function," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(1), pages 1-18.
    See citations under working paper version above.
  16. Sebastian Dullien & Ulrich Fritsche, 2009. "How bad is divergence in the euro zone? Lessons from the United States and Germany," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 31(3), pages 431-457, April.

    Cited by:

    1. Arne Heise & Özlem Görmez Heise, 2010. "Europäische Wirtschaftsregierung - Notwendige Ergänzung der EWU oder unrealistische Illusion?," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 36(3), pages 325-347.
    2. Leila E. Davis & Charalampos Konstantinidis & Yorghos Tripodis, 2015. "A proposal for a federalized unemployment insurance mechanism for Europe," Working Papers 2015_02, University of Massachusetts Boston, Economics Department.
    3. Esposito, Piero, 2017. "Trade creation, trade diversion and imbalances in the EMU," Economic Modelling, Elsevier, vol. 60(C), pages 462-472.
    4. Esposito, Piero, 2015. "Trade (dis)Integration and Imbalances in the EMU," LEAP Working Papers 2015/7, Luiss Institute for European Analysis and Policy.
    5. Esposito, Piero & Messori, Marcello, 2016. "Improved Structural Competitiveness or Deep Recession? On the recent macroeconomic rebalances in the EMU," LEAP Working Papers 2016/3, Luiss Institute for European Analysis and Policy.
    6. Botta, Alberto, 2014. "Structural asymmetries at the roots of the eurozone crisis: What's new for industrial policy in the EU?," Greenwich Papers in Political Economy 14453, University of Greenwich, Greenwich Political Economy Research Centre.
    7. Vítor Domingues Martinho & Maria Del Carmen Sánchez‐Carreira & Paulo Reis Mourão, 2021. "Transnational economic clusters: The case of the Iberian Peninsula," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1442-1459, October.
    8. Alberto Botta, 2014. "Structural Asymmetries at the Roots of the Eurozone Crisis: What’s New for Industrial Policy in the EU?," Economics Working Paper Archive wp_794, Levy Economics Institute.
    9. aus dem Moore, Nils, 2010. "Eine Wirtschaftsregierung für Europa? Die EU braucht bessere governance, aber kein gouvernement économique," RWI Positionen 41, RWI - Leibniz-Institut für Wirtschaftsforschung.
    10. Esposito, Piero & Messori, Marcello, 2019. "Competitive or recession gains? On the recent macroeconomic rebalances in the EMU," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 147-167.

  17. Georg Erber & Ulrich Fritsche, 2009. "Productivity Growth in Germany: No Sustainable Economic Recovery in Sight," Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 5(3), pages 19-25.

    Cited by:

    1. Hans Fehr & Manuel Kallweit & Fabian Kindermann, 2011. "Should Pensions be Progressive? Yes, at least in Germany!," CESifo Working Paper Series 3636, CESifo.
    2. Hans FEHR, 2010. "Pension Reform with Variable Retirment Age," EcoMod2010 259600055, EcoMod.
    3. Alberto Bagnai, 2014. "Un external compact per rilanciare l'Europa," a/ Working Papers Series 1401, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    4. Fehr, Hans & Jokisch, Sabine & Kallweit, Manuel & Kindermann, Fabian & Kotlikoff, Laurence J., 2013. "Generational Policy and Aging in Closed and Open Dynamic General Equilibrium Models," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1719-1800, Elsevier.

  18. Fritsche, Ulrich, 2009. "Divergierende Lohn- und Inflationsentwicklungen im Euroraum: Ursachen und Folgen," WSI-Mitteilungen, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 62(9), pages 474-480.

    Cited by:

    1. Gustav A. Horn & Katharina Dröge & Simon Sturn & Till van Treeck & Rudolf Zwiener, 2009. "Von der Finanzkrise zur Weltwirtschaftskrise (III)," IMK Report 41-2009, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    2. Höpner, Martin, 2013. "Die Verschiedenheit der europäischen Lohnregime und ihr Beitrag zur Eurokrise: Warum der Euro nicht zum heterogenen Unterbau der Eurozone passt," MPIfG Discussion Paper 13/5, Max Planck Institute for the Study of Societies.

  19. Ulrich Fritsche, 2009. "Krise, Arbeitsmarkt, Erholung: Was kommt auf uns zu?," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 89(12), pages 778-779, December.

    Cited by:

    1. Crimmann, Andreas. & Wieβner, Frank. & Bellmann, Lutz., 2010. "The German work-sharing scheme : an instrument for the crisis," ILO Working Papers 994576373402676, International Labour Organization.

  20. Jorg Dopke & Ulrich Fritsche, 2008. "Shocking! Do forecasters share a common belief?," Applied Economics Letters, Taylor & Francis Journals, vol. 15(5), pages 355-358.

    Cited by:

    1. Christian Breuer, 2014. "On the Rationality of Medium-Term Tax Revenue Forecasts: Evidence from Germany," ifo Working Paper Series 176, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Gern, Klaus-Jürgen & Oskamp, Frank & Sander, Birgit & Scheide, Joachim & Boss, Alfred & Dovern, Jonas & Meier, Carsten-Patrick, 2007. "Weltkonjunktur und deutsche Konjunktur im Sommer 2007," Kiel Discussion Papers 443/444, Kiel Institute for the World Economy (IfW Kiel).
    3. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2014. "The international business cycle and gold-price fluctuations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 292-305.

  21. Sebastian Dullien & Ulrich Fritsche, 2008. "Does the dispersion of unit labor cost dynamics in the EMU imply long-run divergence?," International Economics and Economic Policy, Springer, vol. 5(3), pages 269-295, November.

    Cited by:

    1. Hubert Gabrisch & Karsten Staehr, 2012. "The Euro Plus Pact: Competitiveness and external capital flows in the EU countries," Bank of Estonia Working Papers wp2012-5, Bank of Estonia, revised 10 Dec 2012.
    2. Helmut Herwartz & Florian Siedenburg, 2013. "To converge or not converge: unit labor cost inflation in the Euro area," Empirical Economics, Springer, vol. 44(2), pages 455-467, April.
    3. Jean-Claude Barbier & Arnaud Lechevalier, 2015. "La crise de la zone Euro : quels enseignements pour l’Europe sociale ?," Post-Print halshs-01254229, HAL.
    4. Nicolas Canry & Arnaud Lechevalier, 2006. "Wage share variations in France and Germany since 1970: what does really matter?," Post-Print halshs-00140529, HAL.
    5. Eichler, Stefan & Hielscher, Kai, 2012. "Does the ECB act as a lender of last resort during the subprime lending crisis?: Evidence from monetary policy reaction models," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 552-568.
    6. Hubert Gabrisch, 2015. "Net Capital Flows To And The Real Exchange Rate Of Western Balkan Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 60(205), pages 31-52, April – J.
    7. Ulrich Fritsche & Vladimir Kuzin, 2011. "Analysing convergence in Europe using the non-linear single factor model," Empirical Economics, Springer, vol. 41(2), pages 343-369, October.
    8. Sondermann, David, 2012. "Productivity in the euro area: any evidence of convergence?," Working Paper Series 1431, European Central Bank.
    9. Hubert Gabrisch & Karsten Staehr, 2014. "The Euro Plus Pact: Cost Competitiveness and External Capital Flows in the EU Countries. WWWforEurope Policy Paper No. 15," WIFO Studies, WIFO, number 47496, February.
    10. Jean-Claude Barbier & Arnaud Lechevalier, 2015. "La crise de la zone Euro : quels enseignements pour l’Europe sociale ?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01254229, HAL.
    11. Francesca Pancotto & Filippo Pericoli, 2014. "Till labor cost do us part," International Economics and Economic Policy, Springer, vol. 11(3), pages 371-395, September.
    12. Hubert Gabrisch, 2011. "A Macroeconomist’s View on EU Governance Reform: Why and How to Establish Policy Coordination?," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 56(191), pages 69-88, October-D.
    13. Stephen Hall & Sérgio Lagoa, 2014. "Inflation and Business Cycle Convergence in the Euro Area: Empirical Analysis Using an Unobserved Component Model," Open Economies Review, Springer, vol. 25(5), pages 885-908, November.
    14. Gabrisch, Hubert & Staehr, Karsten, 2014. "The euro plus pact: cost competitiveness and external capital flows in the EU countries," Working Paper Series 1650, European Central Bank.
    15. Luigi Bonatti & Andrea Fracasso, 2013. "The German Model and the European Crisis," Journal of Common Market Studies, Wiley Blackwell, vol. 51(6), pages 1023-1039, November.

  22. Doepke Joerg & Dovern Jonas & Fritsche Ulrich & Slacalek Jiri, 2008. "The Dynamics of European Inflation Expectations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 8(1), pages 1-23, March.
    See citations under working paper version above.
  23. Georg Erber & Ulrich Fritsche, 2008. "Produktivitätswachstum in Deutschland: kein nachhaltiger Aufschwung in Sicht," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 75(36), pages 512-519.

    Cited by:

    1. Kallweit Manuel & Kohlmeier Anabell, 2014. "Zusatzbeiträge in der Gesetzlichen Krankenversicherung / Income-independent Surcharges in German Statutory Health Insurance: Weiterentwicklungsoptionen und ihre finanziellen sowie allokativen Effekte ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(4), pages 490-517, August.

  24. J÷Rg D÷Pke & Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2008. "Sticky Information Phillips Curves: European Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(7), pages 1513-1520, October.
    See citations under working paper version above.
  25. Sebastian Dullien & Ulrich Fritsche, 2007. "Anhaltende Divergenz der Lohnstückkostenentwicklung im Euroraum problematisch," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 74(22), pages 349-357.

    Cited by:

    1. Sebastian Dullien & Ulrich Fritsche & Ingrid Groessl & Michael Paetz, 2009. "Adjustment in EMU: Is Convergence Assured?," Macroeconomics and Finance Series 200907, University of Hamburg, Department of Socioeconomics.
    2. Antje Hildebrandt & Maria Antoinette Silgoner, 2007. "The Competitiveness Challenge: EU Member States in International Trade," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 4, pages 67-88.

  26. Sebastian Dullien & Ulrich Fritsche, 2007. "Anhaltende Divergenz bei Inflations- und Lohnentwicklung in der Eurozone: Gefahr für die Währungsunion?," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 76(4), pages 56-76.

    Cited by:

    1. Daniela Schwarzer, 2011. "The EU in Search of its New Shape: Economic Challenges and Governance Reforms in the Sovereign Debt Crisis," Chapters, in: Carlo Secchi & Antonio Villafranca (ed.), Global Governance and the Role of the EU, chapter 5, Edward Elgar Publishing.
    2. Oliver Landmann, 2009. "EMU@10: Coping with Rotating Slumps," Discussion Paper Series 9, Department of International Economic Policy, University of Freiburg, revised Jul 2009.
    3. Afflatet, Nicolas, 2014. "European Monetary Policy in the Heterogeneous Currency Area and the Open Question of Convergence," EconStor Preprints 93382, ZBW - Leibniz Information Centre for Economics.

  27. Dopke, Jorg & Fritsche, Ulrich, 2006. "When do forecasters disagree? An assessment of German growth and inflation forecast dispersion," International Journal of Forecasting, Elsevier, vol. 22(1), pages 125-135.

    Cited by:

    1. Maritta Paloviita & Matti Viren, 2013. "Are individual survey expectations internally consistent?," NBP Working Papers 140, Narodowy Bank Polski.
    2. Paloviita, Maritta & Virén, Matti, 2012. "Inflation and output growth uncertainty in individual survey expectations," Bank of Finland Research Discussion Papers 37/2012, Bank of Finland.
    3. Lahiri, Kajal & Sheng, Xuguang, 2010. "Learning and heterogeneity in GDP and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 26(2), pages 265-292, April.
    4. Constantin Bürgi & Tara M. Sinclair, 2020. "What Does Forecaster Disagreement Tell Us about the State of the Economy?," Working Papers 2020-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    5. Thomas Jobert & Lionel Persyn, 2012. "Quelques constats sur les prévisions conjoncturelles de la croissance française," Revue d'économie politique, Dalloz, vol. 122(6), pages 833-849.
    6. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    7. Michael J. Lamla & Thomas Maag, 2012. "The Role of Media for Inflation Forecast Disagreement of Households and Professional Forecasters," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1325-1350, October.
    8. Guido Schultefrankenfeld, 2020. "Appropriate monetary policy and forecast disagreement at the FOMC," Empirical Economics, Springer, vol. 58(1), pages 223-255, January.
    9. Boss, Alfred & Dovern, Jonas & Meier, Carsten-Patrick & Scheide, Joachim, 2007. "Aufschwung in Deutschland bleibt kräftig," Open Access Publications from Kiel Institute for the World Economy 4300, Kiel Institute for the World Economy (IfW Kiel).
    10. Christian Grimme & Steffen Henzel & Elisabeth Wieland, 2014. "Inflation uncertainty revisited: a proposal for robust measurement," Empirical Economics, Springer, vol. 47(4), pages 1497-1523, December.
    11. Jonas Dovern & Ulrich Fritsche, 2008. "Estimating fundamental cross-section dispersion from fixed event forecasts," Macroeconomics and Finance Series 200801, University of Hamburg, Department of Socioeconomics.
    12. Maritta Paloviita & Matti Viren, 2014. "Inflation and output growth uncertainty in individual survey expectations," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 69-81, February.
    13. Fernandes, Cecilia Melo, 2021. "ECB communication as a stabilization and coordination device: evidence from ex-ante inflation uncertainty," Working Paper Series 2582, European Central Bank.
    14. Kappler, Marcus, 2007. "Projecting the Medium-Term: Outcomes and Errors for GDP Growth," ZEW Discussion Papers 07-068, ZEW - Leibniz Centre for European Economic Research.
    15. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
    16. Döpke, Jörg & Fritsche, Ulrich & Müller, Karsten, 2019. "Has macroeconomic forecasting changed after the Great Recession? Panel-based evidence on forecast accuracy and forecaster behavior from Germany," Journal of Macroeconomics, Elsevier, vol. 62(C).
    17. Jörg Döpke & Ulrich Fritsche & Karsten Müller, 2018. "Has Macroeconomic Forecasting changed after the Great Recession? - Panel-based Evidence on Accuracy and Forecaster Behaviour from Germany," Macroeconomics and Finance Series 201803, University of Hamburg, Department of Socioeconomics.
    18. Ulrich Fritsche & Jörg Döpke, 2006. "Treffgenauigkeit, Rationalität und Streuung von Konjunkturprognosen für Deutschland," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 75(2), pages 34-53.
    19. Ruttachai Seelajaroen & Pornanong Budsaratragoon & Boonlert Jitmaneeroj, 2020. "Do monetary policy transparency and central bank communication reduce interest rate disagreement?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 368-393, April.
    20. Herman O. Stekler, 2008. "What Do We Know About G-7 Macro Forecasts?," Working Papers 2008-009, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    21. Gern, Klaus-Jürgen & Oskamp, Frank & Sander, Birgit & Scheide, Joachim & Boss, Alfred & Dovern, Jonas & Meier, Carsten-Patrick, 2007. "Weltkonjunktur und deutsche Konjunktur im Sommer 2007," Kiel Discussion Papers 443/444, Kiel Institute for the World Economy (IfW Kiel).
    22. Juan Camilo Galvis Ciro & Juan Camilo Anzoátegui Zapata, 2019. "Disagreement in inflation expectations: empirical evidence for Colombia," Applied Economics, Taylor & Francis Journals, vol. 51(40), pages 4411-4424, August.
    23. Patton, Andrew J. & Timmermann, Allan, 2010. "Why do forecasters disagree? Lessons from the term structure of cross-sectional dispersion," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 803-820, October.
    24. Frenkel, Michael & Rülke, Jan-Christoph & Zimmermann, Lilli, 2013. "Do private sector forecasters chase after IMF or OECD forecasts?," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 217-229.
    25. Döhrn, Roland & Schmidt, Christoph M., 2010. "Information or Institution? – On the Determinants of Forecast Accuracy," Ruhr Economic Papers 201, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    26. Robert Lehmann & Timo Wollmershäuser, 2019. "The Macroeconomic Projections of the German Government: A Comparison to an Independent Forecasting Institution," CESifo Working Paper Series 7460, CESifo.
    27. Atalla, Tarek & Joutz, Fred & Pierru, Axel, 2016. "Does disagreement among oil price forecasters reflect volatility? Evidence from the ECB surveys," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1178-1192.
    28. Boonlert Jitmaneeroj & Michael Lamla, 2018. "The Implications of Central Bank Transparency for Uncertainty and Disagreement," KOF Working papers 18-445, KOF Swiss Economic Institute, ETH Zurich.
    29. Herman O. Stekler & Raj M. Talwar, 2011. "Economic Forecasting in the Great Recession," Working Papers 2011-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    30. Maritta Paloviita and Matti Viren, 2012. "Analyzing the relationships between survey forecasts for different variables and countries," Discussion Papers 76, Aboa Centre for Economics.
    31. Gaurav Kumar Singh & Tathagata Bandyopadhyay, 2024. "Determinants of disagreement: Learning from inflation expectations survey of households," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 326-343, March.
    32. Birger Antholz, 2006. "Geschichte der quantitativen Konjunkturprognose-Evaluation in Deutschland," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 75(2), pages 12-33.
    33. Ryan Banerjee & Aaron Mehrotra, 2021. "Disagreeing during Deflations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(7), pages 1867-1885, October.

  28. Ulrich Fritsche & Jörg Döpke, 2006. "Treffgenauigkeit, Rationalität und Streuung von Konjunkturprognosen für Deutschland," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 75(2), pages 34-53.

    Cited by:

    1. Ulrich Fritsche & Artur Tarassow, 2017. "Vergleichende Evaluation der Konjunkturprognosen des Instituts für Makroökonomie und Konjunkturforschung an der Hans-Böckler-Stiftung für den Zeitraum 2005-2014," IMK Studies 54-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    2. Alfred Steinherr, 2006. "80 Years of Business Cycle Studies at DIW Berlin: Editorial," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 75(2), pages 5-11.

  29. Jörg Döpke & Ulrich Fritsche, 2006. "Growth and inflation forecasts for Germany a panel-based assessment of accuracy and efficiency," Empirical Economics, Springer, vol. 31(3), pages 777-798, September.

    Cited by:

    1. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    2. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    3. Behrens, Christoph, 2019. "Evaluating the Joint Efficiency of German Trade Forecasts. A nonparametric multivariate approach," Working Papers 9, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    4. Christoph Behrens, 2019. "A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss," Economies, MDPI, vol. 7(3), pages 1-23, September.
    5. Döpke, Jörg & Fritsche, Ulrich & Müller, Karsten, 2019. "Has macroeconomic forecasting changed after the Great Recession? Panel-based evidence on forecast accuracy and forecaster behavior from Germany," Journal of Macroeconomics, Elsevier, vol. 62(C).
    6. Jörg Döpke & Ulrich Fritsche & Karsten Müller, 2018. "Has Macroeconomic Forecasting changed after the Great Recession? - Panel-based Evidence on Accuracy and Forecaster Behaviour from Germany," Macroeconomics and Finance Series 201803, University of Hamburg, Department of Socioeconomics.
    7. Alexander Foltas & Christian Pierdzioch, 2022. "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Applied Economics Letters, Taylor & Francis Journals, vol. 29(10), pages 867-872, June.
    8. Herman O. Stekler, 2008. "What Do We Know About G-7 Macro Forecasts?," Working Papers 2008-009, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    9. Ullrich Heilemann & Herman Stekler, 2010. "Perspectives on Evaluating Macroeconomic Forecasts," Working Papers 2010-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    10. Döhrn, Roland & Schmidt, Christoph M., 2010. "Information or Institution? – On the Determinants of Forecast Accuracy," Ruhr Economic Papers 201, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Robert Lehmann & Timo Wollmershäuser, 2019. "The Macroeconomic Projections of the German Government: A Comparison to an Independent Forecasting Institution," CESifo Working Paper Series 7460, CESifo.
    12. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.
    13. Foltas, Alexander, 2023. "Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs," Working Papers 44, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    14. Behrens, Christoph, 2020. "German trade forecasts since 1970: An evaluation using the panel dimension," Working Papers 26, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    15. Strunz, Franziska & Gödl, Maximilian, 2023. "An Evaluation of Professional Forecasts for the German Economy," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277707, Verein für Socialpolitik / German Economic Association.

  30. Ulrich Fritsche & Vladimir Kuzin, 2005. "Declining output volatility in Germany: impulses, propagation, and the role of monetary policy," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2445-2457.
    See citations under working paper version above.
  31. Fritsche Ulrich & Kuzin Vladimir, 2005. "Prediction of Business Cycle Turning Points in Germany / Prognose konjunktureller Wendepunkte in Deutschland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(1), pages 22-43, February.

    Cited by:

    1. Kholodilin Konstantin A., 2005. "Forecasting the German Cyclical Turning Points: Dynamic Bi-Factor Model with Markov Switching," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(6), pages 653-674, December.
    2. Konstantin A. Kholodilin, 2005. "Forecasting the Turns of German Business Cycle: Dynamic Bi-factor Model with Markov Switching," Discussion Papers of DIW Berlin 494, DIW Berlin, German Institute for Economic Research.
    3. Mayr, Johannes, 2010. "Forecasting Macroeconomic Aggregates," Munich Dissertations in Economics 11140, University of Munich, Department of Economics.
    4. Beate Schirwitz, 2009. "A comprehensive German business cycle chronology," Empirical Economics, Springer, vol. 37(2), pages 287-301, October.
    5. Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe & Sascha O. Becker, 2007. "Mikrodaten im ifo Institut für Wirtschaftsforschung: Bestand, Verwendung, Zugang," ifo Working Paper Series 44, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Drechsel, Katja & Scheufele, Rolf, 2011. "The Financial Crisis from a Forecaster’s Perspective," IWH Discussion Papers 5/2011, Halle Institute for Economic Research (IWH).
    7. Beate Schirwitz & Christian Seiler & Klaus Wohlrabe, 2009. "Regional business cycles in Germany - the dating problem," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(14), pages 24-31, July.
    8. Jan Grossarth-Maticek & Johannes Mayr, 2008. "Media reports as an economic activity indicator," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(07), pages 17-29, April.
    9. Sascha Becker & Klaus Wohlrabe & Sascha O. Becker, 2007. "Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," ifo Working Paper Series 47, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    10. Rülke Jan-Christoph, 2012. "Do Private Sector Forecasters Desire to Deviate From the German Council of Economic Experts?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 414-428, August.

  32. Georg Erber & Ulrich Fritsche, 2005. "Productivity Growth in the United States and Germany: Is Germany Falling Further behind?," Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 1(24), pages 281-287.

    Cited by:

    1. Walter Paternesi Meloni, 2017. "Austerity & Competitiveness in the Eurozone: a misleading linkage," Departmental Working Papers of Economics - University 'Roma Tre' 0223, Department of Economics - University Roma Tre.
    2. Paternesi Meloni, Walter, 2016. "Austerity and competitiveness in the Eurozone: a misleading linkage," MPRA Paper 75962, University Library of Munich, Germany.

  33. Fritsche Ulrich & Stephan Sabine, 2002. "Leading Indicators of German Business Cycles. An Assessment of Properties / Frühindikatoren der deutschen Konjunktur. Eine Beurteilung ihrer Eigenschaften," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 222(3), pages 289-315, June.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Robert Lehmann & Antje Weyh, 2016. "Forecasting Employment in Europe: Are Survey Results Helpful?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 81-117, September.
    3. Christina Ziegler, 2009. "Testing Predicitive Ability of Business Cycle Indicators for the Euro Area," ifo Working Paper Series 69, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Klaus Abberger & Gebhard Flaig & Wolfgang Nierhaus, 2007. "ifo Konjunkturumfragen und Konjunkturanalyse : ausgewählte methodische Aufsätze aus dem ifo Schnelldienst," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 33, October.
    5. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    6. Drechsel, Katja & Scheufele, Rolf, 2010. "Should We Trust in Leading Indicators? Evidence from the Recent Recession," IWH Discussion Papers 10/2010, Halle Institute for Economic Research (IWH).
    7. Nikolay Robinzonov & Klaus Wohlrabe, 2008. "Freedom of Choice in Macroeconomic Forecasting: An Illustration with German Industrial Production and Linear Models," ifo Working Paper Series 57, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    8. Klaus Abberger & Sascha Becker & Barbara Hofmann & Klaus Wohlrabe & Sascha O. Becker, 2007. "Mikrodaten im ifo Institut für Wirtschaftsforschung: Bestand, Verwendung, Zugang," ifo Working Paper Series 44, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    9. Drechsel, Katja & Scheufele, Rolf, 2011. "The Financial Crisis from a Forecaster’s Perspective," IWH Discussion Papers 5/2011, Halle Institute for Economic Research (IWH).
    10. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics 84736, University of Munich, Department of Economics.
    11. Nikolay Robinzonov & Gerhard Tutz & Torsten Hothorn, 2012. "Boosting techniques for nonlinear time series models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(1), pages 99-122, January.
    12. Dreger, Christian & Schumacher, Christian, 2002. "Estimating large-scale factor models for economic activity in Germany: Do they outperform simpler models?," HWWA Discussion Papers 199, Hamburg Institute of International Economics (HWWA).
    13. Kai Carstensen & Steffen Henzel & Johannes Mayr & Klaus Wohlrabe, 2009. "IFOCAST: Methods of the Ifo short-term forecast," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(23), pages 15-28, December.
    14. 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.
    15. Jan Grossarth-Maticek & Johannes Mayr, 2008. "Media reports as an economic activity indicator," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 61(07), pages 17-29, April.
    16. Jan Jacobs & Jan-Egbert Sturm, 2005. "Do Ifo Indicators Help Explain Revisions in German Industrial Production?," Contributions to Economics, in: Jan-Egbert Sturm & Timo Wollmershäuser (ed.), Ifo Survey Data in Business Cycle and Monetary Policy Analysis, pages 93-114, Springer.
    17. Drechsel, Katja & Scheufele, Rolf, 2012. "The performance of short-term forecasts of the German economy before and during the 2008/2009 recession," International Journal of Forecasting, Elsevier, vol. 28(2), pages 428-445.
    18. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36.
    19. Hinze, Jörg, 2003. "Prognoseleistung von Frühindikatoren: Die Bedeutung von Frühindikatoren für Konjunkturprognosen - Eine Analyse für Deutschland," HWWA Discussion Papers 236, Hamburg Institute of International Economics (HWWA).
    20. Sascha Becker & Klaus Wohlrabe & Sascha O. Becker, 2007. "Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," ifo Working Paper Series 47, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    21. Fritsche Ulrich & Kuzin Vladimir, 2005. "Prediction of Business Cycle Turning Points in Germany / Prognose konjunktureller Wendepunkte in Deutschland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(1), pages 22-43, February.
    22. Klaus Abberger & Klaus Wohlrabe, 2006. "Forecasting qualities of the Ifo Business Climate Index - a look at recent studies," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 59(22), pages 19-26, November.
    23. 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.
    24. Schumacher Christian & Dreger Christian, 2004. "Estimating Large-Scale Factor Models for Economic Activity in Germany: Do They Outperform Simpler Models? / Die Schätzung von großen Faktormodellen für die deutsche Volkswirtschaft: Übertreffen sie ei," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(6), pages 731-750, December.
    25. Proaño, Christian R. & Theobald, Thomas, 2014. "Predicting recessions with a composite real-time dynamic probit model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 898-917.
    26. Werner Hölzl & Gerhard Schwarz, 2014. "Der WIFO-Konjunkturtest: Methodik und Prognoseeigenschaften," WIFO Monatsberichte (monthly reports), WIFO, vol. 87(12), pages 835-850, December.
    27. Thomas Theobald, 2012. "Combining Recession Probability Forecasts from a Dynamic Probit Indicator," IMK Working Paper 89-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    28. Goldrian Georg, 2003. "On the Significance of Spectral Methods. A Comment," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(3), pages 360-364, June.

  34. Gustav A. Horn & Ulrich Fritsche & Wolfgang Scheremet, 2000. "Die doppelte Währungsunion: Deutschland und Europa im wirtschaftlichen Integrationsprozess ; ein Rückblick und ein Vergleich," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 69(2), pages 163-177.

    Cited by:

    1. Heinz Handler, 2013. "The Eurozone: Piecemeal Approach to an Optimum Currency Area," WIFO Working Papers 446, WIFO.

  35. Ulrich Fritsche, 1999. "Konzeptionelle Schwächen von IWF-Stabilisierungsprogrammen im Kontext der Asienkrise," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 68(1), pages 110-117.

    Cited by:

    1. Andreas Hausknecht, 1999. "Die asiatische Krise und der Internationale Währungsfonds," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 68(1), pages 118-125.

Books

  1. Ulrich Fritsche & Camille Logeay & Kirsten Lommatzsch & Katja Rietzler & Sabine Stephan & Rudolf Zwiener unter Mitarb. von Cansel Kiziltepe & Christian Proano-Acosta, 2005. "Auswirkungen von länderspezifischen Differenzen in der Lohn-, Preisniveau- und Produktivitätsentwicklung auf Wachstum und Beschäftigung in den Ländern des Euroraums: Endbericht ; Forschungsprojekt im ," DIW Berlin: Politikberatung kompakt, DIW Berlin, German Institute for Economic Research, volume 8, number pbk8, Enero-Abr.

    Cited by:

    1. Sebastian Dullien & Ulrich Fritsche, 2007. "Does the Dispersion of Unit Labor Cost Dynamics in the EMU Imply Long-run Divergence? Results from a Comparison with the United States of America and Germany," Macroeconomics and Finance Series 200702, University of Hamburg, Department of Socioeconomics.
    2. Sebastian Dullien & Ulrich Fritsche, 2008. "Does the dispersion of unit labor cost dynamics in the EMU imply long-run divergence?," International Economics and Economic Policy, Springer, vol. 5(3), pages 269-295, November.
    3. Katja Rietzler, 2005. "Modelling European Business Cycles (EBC Model): A Macroeconometric Model of Spain ; February 2005," Data Documentation 4, DIW Berlin, German Institute for Economic Research.

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