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Rolf Scheufele

Personal Details

First Name:Rolf
Middle Name:
Last Name:Scheufele
Suffix:
RePEc Short-ID:psc357

Affiliation

Schweizerische Nationalbank (SNB)

Bern/Zürich, Switzerland
http://www.snb.ch/

: +41 58 631 31 11
+41 58 631 39 11
Börsenstrasse 15, P. O. Box, CH - 8022 Zürich
RePEc:edi:snbgvch (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Heinisch, Katja & Scheufele, Rolf, 2017. "Should forecasters use real-time data to evaluate leading indicator models for GDP prediction? German evidence," IWH Discussion Papers 5/2017, Halle Institute for Economic Research (IWH).
  2. Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2017. "Mixed-frequency models for tracking short-term economic developments in Switzerland," Working Papers 2017-02, Swiss National Bank.
  3. Sandra Hanslin & Rolf Scheufele, 2016. "Foreign PMIs: A reliable indicator for exports?," Working Papers 2016-01, Swiss National Bank.
  4. Scheufele, Rolf & Bäurle, Gregor, 2015. "Credit cycles and real activity - the Swiss case," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112931, Verein für Socialpolitik / German Economic Association.
  5. Daniel Kaufmann & Rolf Scheufele, 2015. "Business tendency surveys and macroeconomic fluctuations," KOF Working papers 15-378, KOF Swiss Economic Institute, ETH Zurich.
  6. Hanslin Grossmann, Sandra & Scheufele, Rolf, 2015. "Foreign PMIs: A reliable indicator for Swiss exports," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112830, Verein für Socialpolitik / German Economic Association.
  7. Rina Rosenblatt-Wisch & Rolf Scheufele, 2014. "Quantification and characteristics of household inflation expectations in Switzerland," Working Papers 2014-11, Swiss National Bank.
  8. Giesen, Sebastian & Scheufele, Rolf, 2013. "Effects of Incorrect Specification on the Finite Sample Properties of Full and Limited Information Estimators in DSGE Models," IWH Discussion Papers 8/2013, Halle Institute for Economic Research (IWH).
  9. Katja Drechsel & Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
  10. Drechsel, Katja & Scheufele, Rolf, 2011. "The Financial Crisis from a Forecaster’s Perspective," IWH Discussion Papers 5/2011, Halle Institute for Economic Research (IWH).
  11. 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).
  12. Giesen, Sebastian & Holtemöller, Oliver & Scharff, Juliane & Scheufele, Rolf, 2010. "A First Look on the New Halle Economic Projection Model," IWH Discussion Papers 6/2010, Halle Institute for Economic Research (IWH).
  13. Aumann, Bernd & Scheufele, Rolf, 2009. "Is East Germany Catching Up? A Time Series Perspective," IWH Discussion Papers 14/2009, Halle Institute for Economic Research (IWH).
  14. Scheufele, Rolf, 2008. "Das makroökonometrische Modell des IWH: Eine angebotsseitige Betrachtung," IWH Discussion Papers 9/2008, Halle Institute for Economic Research (IWH).
  15. Scheufele, Rolf, 2008. "Evaluating the German (New Keynesian) Phillips Curve," IWH Discussion Papers 10/2008, Halle Institute for Economic Research (IWH).
  16. Knedlik, Tobias & Scheufele, Rolf, 2007. "Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?," IWH Discussion Papers 17/2007, Halle Institute for Economic Research (IWH).

Articles

  1. Kaufmann, Daniel & Scheufele, Rolf, 2017. "Business tendency surveys and macroeconomic fluctuations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
  2. Sebastian Giesen & Rolf Scheufele, 2016. "Impulse response analysis in a misspecified DSGE model: a comparison of full and limited information techniques," Applied Economics Letters, Taylor & Francis Journals, vol. 23(3), pages 162-166, February.
  3. Giesen, Sebastian & Scheufele, Rolf, 2016. "Effects of incorrect specification on the finite sample properties of full and limited information estimators in DSGE models," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 1-18.
  4. 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.
  5. 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.
  6. Katja Drechsel & Rolf Scheufele, 2012. "The Financial Crisis from a Forecaster’s Perspective," Credit and Capital Markets, Credit and Capital Markets, vol. 45(1), pages 1-26.
  7. Giesen, Sebastian & Holtemöller, Oliver & Scharff, Juliane & Scheufele, Rolf, 2012. "The Halle Economic Projection Model," Economic Modelling, Elsevier, vol. 29(4), pages 1461-1472.
  8. van Deuverden, Kristina & Scheufele, Rolf, 2011. "Mittelfristprojektion des IWH: Wirtschaftsentwicklung und Staatsfinanzen – Eine Vorausschau der Jahre 2011 bis 2015," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 17(1), pages 33-49.
  9. Rolf Scheufele, 2011. "Are Qualitative Inflation Expectations Useful to Predict Inflation?," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2011(1), pages 29-53.
  10. van Deuverden, Kristina & Scheufele, Rolf, 2010. "Wirtschaftsentwicklung und Staatsfinanzen: Eine Vorausschau der Jahre 2010 bis 2014," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 16(1), pages 42-56.
  11. Scheufele, Rolf, 2010. "Evaluating the German (New Keynesian) Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 145-164, August.
  12. Bernd Aumann & Rolf Scheufele, 2010. "Is East Germany catching up? A time series perspective," Post-Communist Economies, Taylor & Francis Journals, vol. 22(2), pages 177-192.
  13. Holtemöller, Oliver & Brautzsch, Hans-Ulrich & van Deuverden, Kristina & Lindner, Axel & Loose, Brigitte & Scharff, Juliane & Scheufele, Rolf & Schultz, Birgit & Zeddies, Götz, 2009. "Konjunktur aktuell: Prognose-Update des IWH: Deutsche Konjunktur am Ende der Talfahrt – mit Ausnahme des Arbeitsmarktes," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 15(9), pages 360-363.
  14. Scheufele, Rolf, 2009. "Im Fokus: Konjunkturprogramme und ihre Wirkung – Eine Simulation mit dem makroökonometrischen Modell des IWH," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 15(1), pages 4-7.
  15. Scheufele, Rolf & Ludwig, Udo, 2009. "Der lange Weg der Konvergenz," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 15(10), pages 400-407.
  16. van Deuverden, Kristina & Scheufele, Rolf, 2009. "Mittelfristige Wirtschaftsentwicklung und öffentliche Finanzen," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 15(1), pages 44-58.
  17. Brautzsch, Hans-Ulrich & van Deuverden, Kristina & Dietrich, Diemo & Kämpfe, Martina & Lindner, Axel & Loose, Brigitte & Scharff, Juliane & Scheufele, Rolf & Schultz, Birgit & Zeddies, Jörg, 2009. "Weltweite Finanz- und Konjunkturkrise treibt die deutsche Wirtschaft in eine tiefe Rezession," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 15(1), pages 11-43.
  18. Ludwig, Udo & Brautzsch, Hans-Ulrich & van Deuverden, Kristina & Dietrich, Diemo & Lindner, Axel & Loose, Brigitte & Scharff, Juliane & Scheufele, Rolf & Schultz, Birgit & Zeddies, Götz, 2009. "Konjunktur aktuell: Prognose-Update des IWH: Konjunkturelle Talfahrt hält vorerst an," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 15(4), pages 158-161.
  19. Tobias Knedlik & Rolf Scheufele, 2008. "Forecasting Currency Crises: Which Methods Signaled The South African Crisis Of June 2006?," South African Journal of Economics, Economic Society of South Africa, vol. 76(3), pages 367-383, September.
  20. Ludwig, Udo & Berneburg, Marian & Brautzsch, Hans-Ulrich & Dietrich, Diemo & van Deuverden, Kristina & Kämpfe, Martina & Kumpmann, Ingmar & Lindner, Axel & Loose, Brigitte & Scheufele, Rolf, 2008. "Konjunktur aktuell: Aufschwung stockt: Warten auf die „zweite Luft“," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 14(1), pages 8-34.
  21. Ludwig, Udo & Brautzsch, Hans-Ulrich & van Deuverden, Kristina & Dietrich, Diemo & Kämpfe, Martina & Kumpmann, Ingmar & Lindner, Axel & Loose, Brigitte & Scharff, Juliane & Scheufele, Rolf, 2008. "Konjunktur im Sommer 2008: Preisschub und Finanzmarktkrise bremsen Aufschwung weltweit," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 14(7), pages 263-288.
  22. Ludwig, Udo & Berneburg, Marian & Brautzsch, Hans-Ulrich & Dietrich, Diemo & Grunert, Ruth & Kumpmann, Ingmar & Lindner, Axel & Loose, Brigitte & Scheufele, Rolf & Zeddies, Götz, 2007. "Deutsche Wirtschaft 2007: Aufschwung mit Januskopf – das andere Gesicht," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 13(1), pages 7-28.
  23. Scheufele, Rolf, 2007. "Aktuelle Trends: Aktuelle Erweiterung des Bestands an Wohnbauten in Deutschland nicht von Dauer," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 13(10), pages 363-363.
  24. Ludwig, Udo & Berneburg, Marian & Brautzsch, Hans-Ulrich & Dietrich, Diemo & Grunert, Ruth & Kumpmann, Ingmar & Lindner, Axel & Loose, Brigitte & Scheufele, Rolf & Zeddies, Götz, 2007. "Konjunktur aktuell: Nach Wachstumsdelle Anfang 2007 deutsche Wirtschaft weiter im Aufschwung," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 13(3), pages 74-82.
  25. Ludwig, Udo & Berneburg, Marian & Brautzsch, Hans-Ulrich & Dietrich, Diemo & Grunert, Ruth & Kumpmann, Ingmar & Lindner, Axel & Loose, Brigitte & Scheufele, Rolf & Zeddies, Götz, 2007. "Konjunktur aktuell: Aufschwung in Deutschland ungebrochen," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 13(8), pages 288-297.
  26. Ludwig, Udo & Berneburg, Marian & Brautzsch, Hans-Ulrich & Dietrich, Diemo & Grunert, Ruth & Kumpmann, Ingmar & Lindner, Axel & Loose, Brigitte & Scheufele, Rolf & Zeddies, Götz, 2006. "Deutsche Wirtschaft 2006/2007: Aufschwung mit Januskopf," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 12(1), pages 6-26.

Citations

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

Working papers

  1. Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2017. "Mixed-frequency models for tracking short-term economic developments in Switzerland," Working Papers 2017-02, Swiss National Bank.

    Cited by:

    1. Christian Glocker & Philipp Wegmüller, 2017. "Business Cycle Dating and Forecasting with Real-time Swiss GDP Data," WIFO Working Papers 542, WIFO.
    2. Alain Galli, 2017. "Which indicators matter? Analyzing the Swiss business cycle using a large-scale mixed-frequency dynamic factor model," Working Papers 2017-08, Swiss National Bank.

  2. Sandra Hanslin & Rolf Scheufele, 2016. "Foreign PMIs: A reliable indicator for exports?," Working Papers 2016-01, Swiss National Bank.

    Cited by:

    1. Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ifo Working Paper Series 196, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

  3. Daniel Kaufmann & Rolf Scheufele, 2015. "Business tendency surveys and macroeconomic fluctuations," KOF Working papers 15-378, KOF Swiss Economic Institute, ETH Zurich.

    Cited by:

    1. Bialowolski, Piotr & Kuszewski, Tomasz & Witkowski, Bartosz, 2015. "Bayesian averaging vs. dynamic factor models for forecasting economic aggregates with tendency survey data," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 9, pages 1-37.
    2. Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2017. "Mixed-frequency models for tracking short-term economic developments in Switzerland," Working Papers 2017-02, Swiss National Bank.
    3. Sandra Hanslin & Rolf Scheufele, 2016. "Foreign PMIs: A reliable indicator for exports?," Working Papers 2016-01, Swiss National Bank.
    4. Klaus Abberger & Matthias Bannert & Andreas Dibiasi, 2014. "Metaumfrage im Dienstleistungssektor," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 8(2), pages 51-62, June.

  4. Hanslin Grossmann, Sandra & Scheufele, Rolf, 2015. "Foreign PMIs: A reliable indicator for Swiss exports," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112830, Verein für Socialpolitik / German Economic Association.

    Cited by:

    1. Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ifo Working Paper Series 196, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

  5. Rina Rosenblatt-Wisch & Rolf Scheufele, 2014. "Quantification and characteristics of household inflation expectations in Switzerland," Working Papers 2014-11, Swiss National Bank.

    Cited by:

    1. Łyziak, Tomasz & Paloviita, Maritta, 2016. "Anchoring of inflation expectations in the euro area: recent evidence based on survey data," Working Paper Series 1945, European Central Bank.
    2. Tomasz Lyziak, 2016. "Financial crisis, low inflation environment and short-term inflation expectations in Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 47(3), pages 285-300.
    3. Alain Galli, 2016. "How reliable are cointegration-based estimates for wealth effects on consumption? Evidence from Switzerland," Working Papers 2016-03, Swiss National Bank.
    4. Thomas Nitschka & Nikolay Markov, 2016. "Semi-Parametric Estimates of Taylor Rules for a Small, Open Economy – Evidence from Switzerland," German Economic Review, Verein für Socialpolitik, vol. 17(4), pages 478-490, November.
    5. Tomasz Łyziak, 2016. "The impact of financial crisis and low inflation environment on short-term inflation expectations in Poland," NBP Working Papers 235, Narodowy Bank Polski, Economic Research Department.
    6. Koichiro Kamada & Jouchi Nakajima & Shusaku Nishiguchi, 2015. "Are Household Inflation Expectations Anchored in Japan?," Bank of Japan Working Paper Series 15-E-8, Bank of Japan.

  6. Katja Drechsel & Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.

    Cited by:

    1. Teresa Buchen & Klaus Wohlrabe, 2013. "Assessing the Macroeconomic Forecasting Performance of Boosting - Evidence for the United States, the Euro Area, and Germany," CESifo Working Paper Series 4148, CESifo Group Munich.
    2. Dées, Stéphane & Güntner, Jochen, 2014. "Analysing and forecasting price dynamics across euro area countries and sectors: a panel VAR approach," Working Paper Series 1724, European Central Bank.
    3. Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting gross value-added at the regional level: Are sectoral disaggregated predictions superior to direct ones?," ifo Working Paper Series 171, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Doll, Jens & Rosenthal, Beatrice & Volkenand, Jonas & Hamella, Sandra, 2017. "Nowcasting des deutschen BIP," Weidener Diskussionspapiere 59, University of Applied Sciences Amberg-Weiden (OTH).
    5. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, Elsevier.
    6. Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ifo Working Paper Series 196, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
    8. Schumacher, Christian, 2014. "MIDAS regressions with time-varying parameters: An application to corporate bond spreads and GDP in the Euro area," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100289, Verein für Socialpolitik / German Economic Association.
    9. Hanslin Grossmann, Sandra & Scheufele, Rolf, 2015. "Foreign PMIs: A reliable indicator for Swiss exports," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112830, Verein für Socialpolitik / German Economic Association.
    10. Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2017. "Mixed-frequency models for tracking short-term economic developments in Switzerland," Working Papers 2017-02, Swiss National Bank.
    11. Robert Lehmann & Klaus Wohlrabe, 2012. "Forecasting GDP at the Regional Level with Many Predictors," CESifo Working Paper Series 3956, CESifo Group Munich.
    12. Heinisch, Katja, 2016. "A real-time analysis on the importance of hard and soft data for nowcasting German GDP," Annual Conference 2016 (Augsburg): Demographic Change 145864, Verein für Socialpolitik / German Economic Association.
    13. Sandra Hanslin & Rolf Scheufele, 2016. "Foreign PMIs: A reliable indicator for exports?," Working Papers 2016-01, Swiss National Bank.
    14. Mahmut Gunay, 2016. "Forecasting Turkish GDP Growth : Bottom-Up vs Direct?," CBT Research Notes in Economics 1622, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    15. Heinisch, Katja & Scheufele, Rolf, 2017. "Should forecasters use real-time data to evaluate leading indicator models for GDP prediction? German evidence," IWH Discussion Papers 5/2017, Halle Institute for Economic Research (IWH).
    16. Cobb, Marcus P A, 2017. "Forecasting Economic Aggregates Using Dynamic Component Grouping," MPRA Paper 81585, University Library of Munich, Germany.
    17. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.
    18. Marcus Cobb, 2014. "GDP Forecasting Bias due to Aggregation Inaccuracy in a Chain- Linking Framework," Working Papers Central Bank of Chile 721, Central Bank of Chile.
    19. Cobb, Marcus P A, 2017. "Aggregate Density Forecasting from Disaggregate Components Using Large VARs," MPRA Paper 76849, University Library of Munich, Germany.
    20. Weber, Enzo & Zika, Gerd, 2013. "Labour market forecasting : is disaggregation useful?," IAB Discussion Paper 201314, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

  7. Drechsel, Katja & Scheufele, Rolf, 2011. "The Financial Crisis from a Forecaster’s Perspective," IWH Discussion Papers 5/2011, Halle Institute for Economic Research (IWH).

    Cited by:

    1. Katja Drechsel & Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
    2. Christian Seiler & Klaus Wohlrabe, 2013. "Das ifo Geschäftsklima und die deutsche Konjunktur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(18), pages 17-21, October.
    3. Drechsel, Katja & Giesen, Sebastian & Lindner, Axel, 2014. "Outperforming IMF Forecasts by the Use of Leading Indicators," IWH Discussion Papers 4/2014, Halle Institute for Economic Research (IWH).
    4. 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, Research Program on Forecasting.
    5. Heinisch, Katja & Scheufele, Rolf, 2017. "Should forecasters use real-time data to evaluate leading indicator models for GDP prediction? German evidence," IWH Discussion Papers 5/2017, Halle Institute for Economic Research (IWH).
    6. 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.
    7. Kitlinski, Tobias & an de Meulen, Philipp, 2015. "The role of targeted predictors for nowcasting GDP with bridge models: Application to the Euro area," Ruhr Economic Papers 559, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  8. 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).

    Cited by:

    1. Anna Sophia Ciesielski & Klaus Wohlrabe, 2011. "Sektorale Prognosen im Verarbeitenden Gewerbe," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(22), pages 27-35, November.
    2. Juraj Hucek & Alexander Karsay & Marian Vavra, 2015. "Short-term Forecasting of Real GDP Using Monthly Data," Working and Discussion Papers OP 1/2015, Research Department, National Bank of Slovakia.
    3. Christian Seiler, 2012. "On the Robustness of the Balance Statistics with respect to Nonresponse," ifo Working Paper Series 126, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Christian Seiler, 2013. "Nonresponse in Business Tendency Surveys: Theoretical Discourse and Empirical Evidence," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 52, November.
    5. Katja Drechsel & Rolf Scheufele, 2012. "The Financial Crisis from a Forecaster’s Perspective," Credit and Capital Markets, Credit and Capital Markets, vol. 45(1), pages 1-26.
    6. Christian Seiler & Klaus Wohlrabe, 2013. "Das ifo Geschäftsklima und die deutsche Konjunktur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(18), pages 17-21, October.
    7. Agne Reklaite, 2015. "Globalisation Effect Measure Via Hierarchical Dynamic Factor Modelling," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 10(3), pages 139-149, September.
    8. Katja Rietzler & Sabine Stephan, 2012. "Monthly recession predictions in real time: A density forecast approach for German industrial production," IMK Working Paper 94-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.

  9. Giesen, Sebastian & Holtemöller, Oliver & Scharff, Juliane & Scheufele, Rolf, 2010. "A First Look on the New Halle Economic Projection Model," IWH Discussion Papers 6/2010, Halle Institute for Economic Research (IWH).

    Cited by:

    1. Makram El-Shagi & Sebastian Giesen, 2013. "Testing for Structural Breaks at Unknown Time: A Steeplechase," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 101-123, January.

  10. Aumann, Bernd & Scheufele, Rolf, 2009. "Is East Germany Catching Up? A Time Series Perspective," IWH Discussion Papers 14/2009, Halle Institute for Economic Research (IWH).

    Cited by:

    1. Frank Scharr, 2009. "Aufbau Ost 20 Jahre nach dem Mauerfall: Ziele und Aufgaben für die nächsten Jahre," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(18), pages 43-48, September.
    2. Bönisch, Peter & Schneider, Lutz, 2010. "Why are East Germans not More Mobile? Analyzing the Impact of Social Ties on Regional Migration," IWH Discussion Papers 16/2010, Halle Institute for Economic Research (IWH).
    3. Michael Weber & Jan Kluge, 2015. "Decomposing the German East-West wage gap," ERSA conference papers ersa15p636, European Regional Science Association.
    4. Peter Mihalyi, 2012. "The Causes of Slow Growth in Hungary during the Post-Communist Transformation Period," IEHAS Discussion Papers 1216, Institute of Economics, Centre for Economic and Regional Studies, Hungarian Academy of Sciences.
    5. Wolfgang Nagl, 2014. "Lohnrisiko und Altersarmut im Sozialstaat," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 54, November.

  11. Scheufele, Rolf, 2008. "Das makroökonometrische Modell des IWH: Eine angebotsseitige Betrachtung," IWH Discussion Papers 9/2008, Halle Institute for Economic Research (IWH).

    Cited by:

    1. Projektgruppe Gemeinschaftsdiagnose, 2010. "Gemeinschaftsdiagnose Frühjahr 2010: Erholung setzt sich fort - Risiken bleiben groß," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(08), pages 03-78, April.

  12. Scheufele, Rolf, 2008. "Evaluating the German (New Keynesian) Phillips Curve," IWH Discussion Papers 10/2008, Halle Institute for Economic Research (IWH).

    Cited by:

    1. 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.
    2. Engelbert Stockhammer & Dimitris P. Sotiropoulos, 2014. "Rebalancing the Euro Area: The Costs of Internal Devaluation," Review of Political Economy, Taylor & Francis Journals, vol. 26(2), pages 210-233, April.
    3. Malikane, Christopher, 2013. "A New Keynesian Triangle Phillips Curve," MPRA Paper 43548, University Library of Munich, Germany.
    4. Giesen, Sebastian & Holtemöller, Oliver & Scharff, Juliane & Scheufele, Rolf, 2010. "A First Look on the New Halle Economic Projection Model," IWH Discussion Papers 6/2010, Halle Institute for Economic Research (IWH).
    5. Sell, Friedrich L. & Reinisch, David C., 2013. "How do Beveridge and Phillips curves in the euro area behave under the stress of the world economic crisis?," Working Papers in Economics 2013,1, Bundeswehr University Munich, Economic Research Group.
    6. Giesen, Sebastian & Holtemöller, Oliver & Scharff, Juliane & Scheufele, Rolf, 2012. "The Halle Economic Projection Model," Economic Modelling, Elsevier, vol. 29(4), pages 1461-1472.
    7. 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).

  13. Knedlik, Tobias & Scheufele, Rolf, 2007. "Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?," IWH Discussion Papers 17/2007, Halle Institute for Economic Research (IWH).

    Cited by:

    1. Klaus Abberger & Wolfgang Nierhaus & Shynar Shaikh, 2009. "Findings of the Signal Approach for Financial Monitoring in Kazakhstan," CESifo Working Paper Series 2774, CESifo Group Munich.

Articles

  1. Kaufmann, Daniel & Scheufele, Rolf, 2017. "Business tendency surveys and macroeconomic fluctuations," International Journal of Forecasting, Elsevier, vol. 33(4), pages 878-893.
    See citations under working paper version above.
  2. Sebastian Giesen & Rolf Scheufele, 2016. "Impulse response analysis in a misspecified DSGE model: a comparison of full and limited information techniques," Applied Economics Letters, Taylor & Francis Journals, vol. 23(3), pages 162-166, February.

    Cited by:

    1. Giesen, Sebastian & Scheufele, Rolf, 2016. "Effects of incorrect specification on the finite sample properties of full and limited information estimators in DSGE models," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 1-18.

  3. 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.
    See citations under working paper version above.
  4. 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.

    Cited by:

    1. Steffen Henzel & Sebastian Rast, 2013. "Prognoseeigenschaften von Indikatoren zur Vorhersage des Bruttoinlandsprodukts in Deutschland," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(17), pages 39-46, September.
    2. Katja Drechsel & Rolf Scheufele, 2012. "Bottom-up or Direct? Forecasting German GDP in a Data-rich Environment," Working Papers 2012-16, Swiss National Bank.
    3. Robert Lehmann & Klaus Wohlrabe, 2013. "Forecasting gross value-added at the regional level: Are sectoral disaggregated predictions superior to direct ones?," ifo Working Paper Series 171, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Anna Sophia Ciesielski & Klaus Wohlrabe, 2011. "Sektorale Prognosen im Verarbeitenden Gewerbe," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(22), pages 27-35, November.
    5. Schwarzmüller, Tim, 2015. "Model pooling and changes in the informational content of predictors: An empirical investigation for the euro area," Kiel Working Papers 1982, Kiel Institute for the World Economy (IfW).
    6. Christian Seiler, 2014. "Mode Preferences in Business Surveys: Evidence from Germany," ifo Working Paper Series 193, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Jens Boysen-Hogrefe, 2012. "A note on predicting recessions in the euro area using real M1," Economics Bulletin, AccessEcon, vol. 32(2), pages 1291-1301.
    8. Boriss Siliverstovs, 2013. "Do business tendency surveys help in forecasting employment?: A real-time evidence for Switzerland," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 129-151.
    9. Christian Seiler & Klaus Wohlrabe, 2013. "Das ifo Geschäftsklima und die deutsche Konjunktur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(18), pages 17-21, October.
    10. David Iselin & Boriss Siliverstovs, 2013. "Using Newspapers for Tracking the Business Cycle," KOF Working papers 13-337, KOF Swiss Economic Institute, ETH Zurich.
    11. Christian Seiler, 2014. "The determinants of unit non-response in the Ifo Business Survey," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 8(3), pages 161-177, September.
    12. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, Research Program on Forecasting.
    13. 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.
    14. Kitlinski, Tobias & an de Meulen, Philipp, 2015. "The role of targeted predictors for nowcasting GDP with bridge models: Application to the Euro area," Ruhr Economic Papers 559, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Heinrich, Markus & Carstensen, Kai & Reif, Magnus & Wolters, Maik, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168206, Verein für Socialpolitik / German Economic Association.
    16. Christian Seiler, 2015. "On the robustness of balance statistics with respect to nonresponse," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2014(2), pages 45-62.
    17. Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2017. "Forecasting GDP all over the World: Evidence from Comprehensive Survey Data," MPRA Paper 81772, University Library of Munich, Germany.
    18. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series 201505, Hamburg University, Department Wirtschaft und Politik.
    19. Katja Rietzler & Sabine Stephan, 2012. "Monthly recession predictions in real time: A density forecast approach for German industrial production," IMK Working Paper 94-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    20. Schumacher, Christian, 2016. "A comparison of MIDAS and bridge equations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 257-270.
    21. Mikosch, Heiner & Solanko, Laura, 2017. "Should one follow movements in the oil price or in money supply? Forecasting quarterly GDP growth in Russia with higher-frequency indicators," BOFIT Discussion Papers 19/2017, Bank of Finland, Institute for Economies in Transition.

  5. Katja Drechsel & Rolf Scheufele, 2012. "The Financial Crisis from a Forecaster’s Perspective," Credit and Capital Markets, Credit and Capital Markets, vol. 45(1), pages 1-26.
    See citations under working paper version above.
  6. Giesen, Sebastian & Holtemöller, Oliver & Scharff, Juliane & Scheufele, Rolf, 2012. "The Halle Economic Projection Model," Economic Modelling, Elsevier, vol. 29(4), pages 1461-1472.

    Cited by:

    1. Makram El-Shagi & Sebastian Giesen, 2013. "Testing for Structural Breaks at Unknown Time: A Steeplechase," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 101-123, January.
    2. Holtemöller, Oliver & Lindner, Axel & Giesen, Sebastian, 2013. "Internationale Konjunkturprognose und konjunkturelle Stressszenarien für die Jahre 2012 bis 2014," IWH Online 1/2013, Halle Institute for Economic Research (IWH).
    3. Drygalla, Andrej & Holtemöller, Oliver & Lindner, Axel, 2017. "Internationale Konjunkturprognose und konjunkturelle Szenarien für die Jahre 2016 bis 2021," IWH Online 3/2017, Halle Institute for Economic Research (IWH).
    4. Lindner, Axel & Drygalla, Andrej, 2015. "Internationale Konjunkturprognose und konjunkturelle Stressszenarien für die Jahre 2014 bis 2018," IWH Online 3/2015, Halle Institute for Economic Research (IWH).
    5. Holtemöller, Oliver & Brautzsch, Hans-Ulrich & Drechsel, Katja & Drygalla, Andrej & Giesen, Sebastian & Hennecke, Peter & Kiesel, Konstantin & Loose, Brigitte & Meier, Carsten-Patrick & Zeddies, Götz, 2015. "Ökonomische Wirksamkeit der Konjunktur stützenden finanzpolitischen Maßnahmen der Jahre 2008 und 2009. Forschungsvorhaben im Auftrag des Bundesministeriums der Finanzen," IWH Online 4/2015, Halle Institute for Economic Research (IWH).
    6. Projektgruppe Gemeinschaftsdiagnose, 2014. "Gemeinschaftsdiagnose Frühjahr 2014: Deutsche Konjunktur im Aufschwung - aber Gegenwind von der Wirtschaftspolitik," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(08), pages 03-64, April.
    7. Holtemöller, Oliver & Lindner, Axel & Drygalla, Andrej, 2013. "Internationale Konjunkturprognose und konjunkturelle Stressszenarien für die Jahre 2013 bis 2015," IWH Online 6/2013, Halle Institute for Economic Research (IWH).
    8. Holtemöller, Oliver & Drygalla, Andrej & Lindner, Axel, 2016. "Internationale Konjunkturprognose und konjunkturelle Stressszenarien für die Jahre 2015 bis 2020," IWH Online 4/2016, Halle Institute for Economic Research (IWH).
    9. Nikolay Hristov, 2016. "The Ifo DSGE Model for the German Economy," ifo Working Paper Series 210, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

  7. van Deuverden, Kristina & Scheufele, Rolf, 2011. "Mittelfristprojektion des IWH: Wirtschaftsentwicklung und Staatsfinanzen – Eine Vorausschau der Jahre 2011 bis 2015," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 17(1), pages 33-49.

    Cited by:

    1. Projektgruppe Gemeinschaftsdiagnose, 2011. "Gemeinschaftsdiagnose Frühjahr 2011: Aufschwung setzt sich fort - Europäische Schuldenkrise noch ungelöst," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(08), pages 03-63, April.

  8. Rolf Scheufele, 2011. "Are Qualitative Inflation Expectations Useful to Predict Inflation?," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2011(1), pages 29-53.

    Cited by:

    1. Stockhammar, Pär & Österholm, Pär, 2016. "Do Inflation Expectations Granger Cause Inflation?," Working Papers 145, National Institute of Economic Research.
    2. Piotr Białowolski, 2016. "The influence of negative response style on survey-based household inflation expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 509-528, March.
    3. Lahiri, Kajal & Zhao, Yongchen, 2015. "Quantifying survey expectations: A critical review and generalization of the Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 31(1), pages 51-62.
    4. Tomasz Łyziak, 2016. "Do inflation expectations matter in a stylised New Keynesian model? The case of Poland," NBP Working Papers 234, Narodowy Bank Polski, Economic Research Department.
    5. Halina Kowalczyk & Tomasz Lyziak & Ewa Stanisławska, 2013. "A new approach to probabilistic surveys of professional forecasters and its application in the monetary policy context," NBP Working Papers 142, Narodowy Bank Polski, Economic Research Department.
    6. Sunil Kumar, 2016. "Latent class analyisis for reliable measure of inflation expectation in the indian public," Papers 1603.01397, arXiv.org.
    7. Mossfeldt, Marcus & Stockhammar, Pär, 2016. "Forecasting Goods and Services Inflation in Sweden," Working Papers 146, National Institute of Economic Research.
    8. Piotr Białowolski, 2011. "Forecasting inflation with consumer survey data – application of multi-group confirmatory factor analysis to elimination of the general sentiment factor," NBP Working Papers 100, Narodowy Bank Polski, Economic Research Department.
    9. Kajal Lahiri & Yongchen Zhao, 2013. "Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited," Discussion Papers 13-08, University at Albany, SUNY, Department of Economics.

  9. Scheufele, Rolf, 2010. "Evaluating the German (New Keynesian) Phillips curve," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 145-164, August.
    See citations under working paper version above.
  10. Bernd Aumann & Rolf Scheufele, 2010. "Is East Germany catching up? A time series perspective," Post-Communist Economies, Taylor & Francis Journals, vol. 22(2), pages 177-192.
    See citations under working paper version above.
  11. Scheufele, Rolf, 2009. "Im Fokus: Konjunkturprogramme und ihre Wirkung – Eine Simulation mit dem makroökonometrischen Modell des IWH," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 15(1), pages 4-7.

    Cited by:

    1. Holtemöller, Oliver & Brautzsch, Hans-Ulrich & Drechsel, Katja & Drygalla, Andrej & Giesen, Sebastian & Hennecke, Peter & Kiesel, Konstantin & Loose, Brigitte & Meier, Carsten-Patrick & Zeddies, Götz, 2015. "Ökonomische Wirksamkeit der Konjunktur stützenden finanzpolitischen Maßnahmen der Jahre 2008 und 2009. Forschungsvorhaben im Auftrag des Bundesministeriums der Finanzen," IWH Online 4/2015, Halle Institute for Economic Research (IWH).
    2. Projektgruppe Gemeinschaftsdiagnose, 2009. "Im Sog der Weltrezession: Gemeinschaftsdiagnose Frühjahr 2009," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 15(1. Sonder), pages 1-101.

  12. Scheufele, Rolf & Ludwig, Udo, 2009. "Der lange Weg der Konvergenz," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), vol. 15(10), pages 400-407.

    Cited by:

    1. Holtemöller, Oliver & Irrek, Maike & Schultz, Birgit, 2012. "A Federal Long-run Projection Model for Germany," IWH Discussion Papers 11/2012, Halle Institute for Economic Research (IWH).
    2. Michael Gühne & Gunther Markwardt, 2014. "Lohnunterschiede zwischen Ost- und Westdeutschland: Neue Einsichten," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 37-44, June.
    3. K. Haaf & C.J.M. Kool, 2017. "Determinants of regional growth and convergence in Germany," Working Papers 17-12, Utrecht School of Economics.
    4. Blum, Ulrich, 2011. "An Economic Life in Vain − Path Dependence and East Germany’s Pre- and Post-Unification Economic Stagnation," IWH Discussion Papers 10/2011, Halle Institute for Economic Research (IWH).

  13. Tobias Knedlik & Rolf Scheufele, 2008. "Forecasting Currency Crises: Which Methods Signaled The South African Crisis Of June 2006?," South African Journal of Economics, Economic Society of South Africa, vol. 76(3), pages 367-383, September.

    Cited by:

    1. Knedlik, Tobias & von Schweinitz, Gregor, 2011. "Macroeconomic Imbalances as Indicators for Debt Crises in Europe," IWH Discussion Papers 12/2011, Halle Institute for Economic Research (IWH).
    2. Haakon Kavli & Kevin Kotzé, 2014. "Spillovers in Exchange Rates and the Effects of Global Shocks on Emerging Market Currencies," South African Journal of Economics, Economic Society of South Africa, vol. 82(2), pages 209-238, June.
    3. Andrew S Duncan & Guangling D Liu, 2009. "Modelling South African Currency Crises as Structural Changes in the Volatility of the Rand," Working Papers 140, Economic Research Southern Africa.
    4. Diemo Dietrich & Tobias Knedlik & Axel Lindner, 2011. "Central and Eastern European countries in the global financial crisis: a typical twin crisis?," Post-Communist Economies, Taylor & Francis Journals, vol. 23(4), pages 415-432, April.
    5. Daniel King and Ferdi Botha, 2014. "Modelling Stock Return Volatility Dynamics in Selected African Markets," Working Papers 410, Economic Research Southern Africa.
    6. El-Shagi, Makram & Knedlik, Tobias & von Schweinitz, Gregor, 2012. "Predicting Financial Crises: The (Statistical) Significance of the Signals Approach," IWH Discussion Papers 3/2012, Halle Institute for Economic Research (IWH).
    7. Duncan, Andrew S. & Kabundi, Alain, 2013. "Domestic and foreign sources of volatility spillover to South African asset classes," Economic Modelling, Elsevier, vol. 31(C), pages 566-573.
    8. Andrew S. Duncan & Alain Kabundi, 2011. "Volatility Spillovers across South African Asset Classes during Domestic and Foreign," Working Papers 202, Economic Research Southern Africa.
    9. Kämpfe, Martina & Knedlik, Tobias, 2017. "The appropriateness of the macroeconomic imbalance procedure for Central and Eastern European countries," IWH Discussion Papers 16/2017, Halle Institute for Economic Research (IWH).

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-FOR: Forecasting (6) 2013-01-12 2015-04-19 2016-02-17 2016-04-04 2017-02-05 2017-02-19. Author is listed
  2. NEP-MAC: Macroeconomics (6) 2014-12-29 2015-04-19 2016-02-17 2016-09-18 2017-02-05 2017-02-19. Author is listed
  3. NEP-INT: International Trade (2) 2016-02-17 2016-04-04
  4. NEP-BAN: Banking (1) 2016-09-18
  5. NEP-EEC: European Economics (1) 2016-09-18
  6. NEP-FDG: Financial Development & Growth (1) 2017-02-05
  7. NEP-MON: Monetary Economics (1) 2014-12-29
  8. NEP-SOG: Sociology of Economics (1) 2016-09-18
  9. NEP-URE: Urban & Real Estate Economics (1) 2016-02-17

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