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Per Jansson

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Tor Jacobson & Per Jansson & Anders Vredin & Anders Warne, 2001. "Monetary policy analysis and inflation targeting in a small open economy: a VAR approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 487-520.

    Mentioned in:

    1. Monetary policy analysis and inflation targeting in a small open economy: a VAR approach* (Journal of Applied Econometrics 2001) in ReplicationWiki ()

Working papers

  1. Apel, Mikael & Jansson, Per, 2005. "Some Further Evidence on Interest-Rate Smoothing: The Role of Measurement Errors in the Output Gap," Working Paper Series 178, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Bjørnland, Hilde C. & Leitemo, Kai, 2005. "Identifying the interdependence between US monetary policy and the stock market," Bank of Finland Research Discussion Papers 17/2005, Bank of Finland.
    2. Gerberding, Christina & Seitz, Franz & Worms, Andreas, 2007. "Money-based interest rate rules: lessons from German data," Discussion Paper Series 1: Economic Studies 2007,06, Deutsche Bundesbank.
    3. Carrillo, Julio A. & Fève, Patrick & Matheron, Julien, 2007. "Monetary Policy Inertia or Persistent Shocks: A DSGE Analysis," IDEI Working Papers 431, Institut d'Économie Industrielle (IDEI), Toulouse.
    4. Glenn D. Rudebusch, 2006. "Monetary Policy Inertia: Fact or Fiction?," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    5. Nicolas Pinkwart, 2013. "Quantifying The European Central Bank'S Interest Rate Smoothing Behavior," Manchester School, University of Manchester, vol. 81(4), pages 470-492, July.
    6. Carrillo, J. & Fève, P. & Matheron, J., 2006. "Monetary Policy Inertia or Persistent Shocks?," Working papers 150, Banque de France.
    7. Troy Davig & Jeffrey R. Gerlach, 2006. "State-Dependent Stock Market Reactions to Monetary Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.

  2. Berg, Claes & Jansson, Per & Vredin, Anders, 2004. "How Useful are Simple Rules for Monetary Policy? The Swedish Experience," Working Paper Series 169, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Charles Goodhart, 2009. "The Interest Rate Conditioning Assumption," International Journal of Central Banking, International Journal of Central Banking, vol. 5(2), pages 85-108, June.
    2. Kenneth N Kuttner, 2004. "A Snapshot of Inflation Targeting in its Adolescence," RBA Annual Conference Volume (Discontinued), in: Christopher Kent & Simon Guttmann (ed.),The Future of Inflation Targeting, Reserve Bank of Australia.
    3. Jaromír Baxa & Roman Horváth & Borek Vasícek, 2010. "How Does Monetary Policy Change? Evidence on Inflation Targeting Countries," Working Papers wpdea1007, Department of Applied Economics at Universitat Autonoma of Barcelona.
    4. Alex Isakov & Petr Grishin & Oleg Gorlinsky, 2018. "Fear of Forward Guidance," Russian Journal of Money and Finance, Bank of Russia, vol. 77(4), pages 84-106, December.
    5. Hudson, Kerry & Vespignani, Joaquin L., 2015. "Understanding the Taylor Rule in Australia," MPRA Paper 104679, University Library of Munich, Germany.
    6. Gunji, Hiroshi & Miura, Kazuki & Yuan, Yuan, 2009. "Bank competition and monetary policy," Japan and the World Economy, Elsevier, vol. 21(1), pages 105-115, January.
    7. Marcela Meirelles Aurelio, 2005. "Do we really know how inflation targeters set interest rates?," Research Working Paper RWP 05-02, Federal Reserve Bank of Kansas City.
    8. Lars E.O. Svensson, 2006. "The Instrument-Rate Projection under Inflation Targeting: The Norwegian Example," Working Papers 75, Princeton University, Department of Economics, Center for Economic Policy Studies..
    9. Kenneth N. Kuttner, 2004. "The role of policy rules in inflation targeting," Review, Federal Reserve Bank of St. Louis, vol. 86(Jul), pages 89-112.
    10. Jesper Lindé & Marianne Nessén & Ulf Söderström, 2004. "Monetary Policy in an Estimated Open-Economy Model with Imperfect Pass-Through," Working Papers 263, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    11. Lars Svensson, 2006. "Optimal Inflation Targeting: Further Developments of Inflation Targeting," Working Papers Central Bank of Chile 403, Central Bank of Chile.
    12. Andersson, Michael K. & Karlsson, Gustav & Svensson, Josef, 2007. "The Riksbank’s Forecasting Performance," Working Paper Series 218, Sveriges Riksbank (Central Bank of Sweden).
    13. Lindé, Jesper, 2003. "Monetary Policy Shocks and Business Cycle Fluctuations in a Small Open Economy: Sweden 1986-2002," Working Paper Series 153, Sveriges Riksbank (Central Bank of Sweden).
    14. Kerry B. Hudson & Joaquin L. Vespignani, 2014. "Understanding the Deviations of the Taylor Rule: A New Methodology with an Application to Australia," CAMA Working Papers 2014-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Creel, Jérôme & Hubert, Paul, 2012. "Constrained discretion in Sweden," Research in Economics, Elsevier, vol. 66(1), pages 33-44.
    16. Goodhart, Charles, 2015. "The interest rate conditioning assumption," LSE Research Online Documents on Economics 24666, London School of Economics and Political Science, LSE Library.
    17. Goodhart Charles A.E., 2005. "The Monetary Policy Committee's Reaction Function: An Exercise in Estimation," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-42, August.

  3. Hansson, Jesper & Jansson, Per & Löf, Mårten, 2003. "Business Survey Data: Do They Help in Forecasting the Macro Economy?," Working Papers 84, National Institute of Economic Research.

    Cited by:

    1. Aleksejs Melihovs & Svetlana Rusakova, 2005. "Short-Term Forecasting of Economic Development in Latvia Using Business and Consumer Survey Data," Working Papers 2005/04, Latvijas Banka.
    2. Lise Pichette, 2012. "Extracting Information from the Business Outlook Survey Using Statistical Approaches," Discussion Papers 12-8, Bank of Canada.
    3. Hansson, Jesper & Jansson, Per & Lof, Marten, 2005. "Business survey data: Do they help in forecasting GDP growth?," International Journal of Forecasting, Elsevier, vol. 21(2), pages 377-389.
    4. Christophe Van Nieuwenhuyze, 2006. "A generalised dynamic factor model for the Belgian economy - Useful business cycle indicators and GDP growth forecasts," Working Paper Research 80, National Bank of Belgium.
    5. Piotr Białowolski & Tomasz Kuszewski & Bartosz Witkowski, 2012. "Macroeconomic Forecasts in Models with Bayesian Averaging of Classical Estimates," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 6(1), March.
    6. Piotr Białowolski & Tomasz Kuszewski & Bartosz Witkowski, 2010. "Business Survey Data in Forecasting Macroeconomic Indicators with Combined Forecasts," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 4(4), December.

  4. Jacobson, Tor & Jansson, Per & Vredin, Anders & Warne, Anders, 2002. "Identifying the Effects of Monetary Policy Shocks in an Open Economy," Working Paper Series 134, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. José Fernando Escobar R. & Carlos Esteban Posada P., 2004. "Dinero, Precios, Tasa de Interés y Actividad Económica: Un Modelo del Caso Colombiano," Borradores de Economia 303, Banco de la Republica de Colombia.
    2. Winkelried Quezada, Diego, 2004. "Tendencias comunes y análisis de la política monetaria en el Perú," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 11.
    3. Martha Misas Arango & Enrique López Enciso & Juana Téllez Corredor & José Fernando Escobar, 2005. "La Inflación Subyacente en Colombia: Un Enfoque de Tendencias Estocásticas Comunes Asociadas a un VEC Estructural," Borradores de Economia 324, Banco de la Republica de Colombia.
    4. Villani, Mattias & Warne, Anders, 2003. "Monetary Policy Analysis in a Small Open Economy using Bayesian Cointegrated Structural VARs," Working Paper Series 156, Sveriges Riksbank (Central Bank of Sweden).
    5. Holmlund, Bertil & Alexius, Annika, 2008. "Monetary Policy and Swedish Unemployment Fluctuations," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-25.
    6. Claeys Peter, 2008. "Estimating the effects of fiscal policy under the budget constraint," wp.comunite 0038, Department of Communication, University of Teramo.
    7. Lindé, Jesper, 2003. "Monetary Policy Shocks and Business Cycle Fluctuations in a Small Open Economy: Sweden 1986-2002," Working Paper Series 153, Sveriges Riksbank (Central Bank of Sweden).
    8. Juan José Echavarría Soto & Enrique López Enciso & Martha Misas Arango, 2008. "El tipo de cambio real de equilibrio en Colombia y su desalineamiento: estimación a través de un modelo SVEC," Investigación Conjunta-Joint Research, in: Centro de Estudios Monetarios Latinoamericanos (CEMLA) (ed.), Estimación y Uso de Variables no Observables en la Región, edition 1, volume 1, chapter 12, pages 365-395, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    9. Laséen, Stefan, 2020. "Monetary Policy Surprises, Central Bank Information Shocks, and Economic Activity in a Small Open Economy," Working Paper Series 396, Sveriges Riksbank (Central Bank of Sweden).
    10. José Fernando Escobar R. & Carlos Estaban Posada, 2004. "Dinero, Precios, Tasa De Interés Y Actividad Económica: Un Modelo Del Caso Colombiano (1984:I-2003:Iv)," Borradores de Economia 2366, Banco de la Republica.
    11. Martha Misas Arango & Enrique López Enciso & Diego Vásquez Escobar, 2004. "Tendencias Estocásticas Comunes y Fluctuaciones en la Economía Colombiana: 1950-2002," Borradores de Economia 275, Banco de la Republica de Colombia.

  5. Jansson, Per & Vredin, Anders, 2001. "Forecast-based Monetary Policy in Sweden 1992-1998: A View from Within," Working Paper Series 120, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Lars E.O. Svensson, 2002. "What Is Wrong with Taylor Rules? Using Judgment in Monetary Policy through Targeting Rules," Working Papers 118, Princeton University, Department of Economics, Center for Economic Policy Studies..
    2. Andrew Levin & Volker Wieland & John C. Williams, 2003. "The Performance of Forecast-Based Monetary Policy Rules Under Model Uncertainty," American Economic Review, American Economic Association, vol. 93(3), pages 622-645, June.
    3. Berlemann, Michael, 2001. "Forecasting inflation via electronic markets: Results from a prototype market," Dresden Discussion Paper Series in Economics 06/01, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.

  6. Flam, H. & Jansson, P., 2000. "EMU Effects on International Trade and Investment," Research Paper 180, World Institute for Development Economics Research.

    Cited by:

    1. Wyplosz, Charles, 2001. "Exchange Rate Regimes: Some Lessons from Postwar Europe," CEPR Discussion Papers 2723, C.E.P.R. Discussion Papers.
    2. Lars Calmfors, 2001. "Wages and Wage-Bargaining Institutions in the EMU – A Survey of the Issues," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 28(4), pages 325-351, December.
    3. Joanna Tyrowicz, 2007. "The OCA Theory and Its Empirical Application for the EMU," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5-6, pages 45-60.
    4. Joanna Tyrowicz, 2009. "When Eastern Labour Markets Enter Western Europe CEECs. Labour Market Institutions upon Euro Zone Accession," Working Papers 2009-03, Faculty of Economic Sciences, University of Warsaw.
    5. Calmfors, Lars, 2001. "Wages and wage-bargaining institutions in the EMU – a survey of the issues," Seminar Papers 690, Stockholm University, Institute for International Economic Studies.
    6. Dorrucci, Ettore & Fratzscher, Marcel & Mongelli, Francesco Paolo & Firpo, Stefano, 2002. "European integration: what lessons for other regions? The case of Latin America," Working Paper Series 185, European Central Bank.

  7. Assarsson, Bengt & Berg, Claes & Jansson, Per, 1999. "Investment in Swedish Manufacturing: Analysis and Forecasts," Working Paper Series 95, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Johan Eklund, 2010. "Q-theory of investment and earnings retentions—evidence from Scandinavia," Empirical Economics, Springer, vol. 39(3), pages 793-813, December.
    2. Bent Nielsen & Andrew Whitby, 2012. "A Joint Chow Test for Structural Instability," Economics Papers 2012-W07, Economics Group, Nuffield College, University of Oxford.

  8. Apel, Mikael & Jansson, Per, 1999. "A Parametric Approach for Estimating Core Inflation and Interpreting the Inflation Process," Working Paper Series 80, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Nessén, Marianne & Söderström, Ulf, 2000. "Core Inflation and Monetary Policy," Working Paper Series 110, Sveriges Riksbank (Central Bank of Sweden).
    2. Jansson, Per & Vredin, Anders, 2001. "Forecast-based Monetary Policy in Sweden 1992-1998: A View from Within," Working Paper Series 120, Sveriges Riksbank (Central Bank of Sweden).
    3. Wynne, Mark A., 1999. "Core inflation: a review of some conceptual issues," Working Paper Series 5, European Central Bank.
    4. Smith, Julie K, 2004. "Weighted Median Inflation: Is This Core Inflation?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(2), pages 253-263, April.
    5. Gagik G. Aghajanyan, 2005. "Core inflation in a small transition country: choice of optimal measures," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 2(1), pages 83-110, June.
    6. Per Jansson & Anders Vredin, 2001. "Forecast-based monetary policy in Sweden 1992-98: a view from within," BIS Papers chapters, in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 204-226, Bank for International Settlements.
    7. Urbina, Jilber, 2014. "Producto Potencial y Brecha del Producto en Nicaragua [Potential output and output gap in Nicaragua]," MPRA Paper 75592, University Library of Munich, Germany, revised Dec 2015.

  9. Jacobson, Tor & Jansson, Per & Vredin, Anders & Warne, Anders, 1999. "A VAR Model for Monetary Policy Analysis in a Small Open Economy," Working Paper Series 77, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Lindh, Thomas, 1999. "Medium-Term Forecasts of Potential GDP and Inflation Using Age Structure Information," Working Paper Series 99, Sveriges Riksbank (Central Bank of Sweden).
    2. Héctor Bravo L. & Carlos García T., 2002. "Measuring Monetary Policy and Pass-Through in Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 5(3), pages 5-28, December.
    3. Tor Jacobson & Per Jansson & Anders Vredin & Anders Warne, 2001. "Monetary policy analysis and inflation targeting in a small open economy: a VAR approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 487-520.
    4. David Mayes & Matti Virén, 2000. "The exchange rate and monetary conditions in the Euro area," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 136(2), pages 199-231, June.
    5. Hilde C. Bjørnland, 1998. "Economic Fluctuations in a Small Open Economy - Real versus Nominal Shocks," Discussion Papers 215, Statistics Norway, Research Department.
    6. Mukesh Khanal, 2011. "Monetary Neutrality in the Nepalese Economy during 1975-2008," Working Papers id:4647, eSocialSciences.
    7. Norrbin, Stefan, 2001. "What Have We Learned from Empirical Tests of the Monetary Transmission Effect," Working Paper Series 121, Sveriges Riksbank (Central Bank of Sweden).
    8. Jang, Tae-Seok & Okano, Eiji, 2013. "Productivity shocks and monetary policy in a two-country model," Dynare Working Papers 29, CEPREMAP.
    9. Grand Nathalie & Dropsy Vincent, 2005. "Exchange Rate And Inflation Targeting In Morocco And Tunisia," Macroeconomics 0507018, University Library of Munich, Germany.
    10. Mukesh Khanal, 2011. "Monetary Neutrality in the Nepalese Economy during 1975-2008," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 23(1), pages 71-91, April.

  10. Apel, Mikael & Jansson, Per, 1998. "A Theory-Consistent System Approach for Estimating Potential Output and the NAIRU," Working Paper Series 74, Sveriges Riksbank (Central Bank of Sweden).

    Cited by:

    1. Álvarez, Luis J. & Gómez-Loscos, Ana, 2018. "A menu on output gap estimation methods," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 827-850.
    2. Lindh, Thomas, 1999. "Medium-Term Forecasts of Potential GDP and Inflation Using Age Structure Information," Working Paper Series 99, Sveriges Riksbank (Central Bank of Sweden).
    3. Christophe Planas & Werner Roeger & Alessandro Rossi, 2004. "How much has labour taxation contributed to European structural unemployment?," Econometrics 0408005, University Library of Munich, Germany.
    4. Amador-Torres, Juan & Gómez González, Jose & Ojeda-Joya, Jair & Jaulin-Mendez, Oscar & Tenjo-Galarza, Fernando, 2015. "Mind the Gap: Computing Finance-Neutral Output Gaps in Latin-American Economies," MPRA Paper 66288, University Library of Munich, Germany.
    5. Dobrescu, Emilian, 2006. "Macromodel of the Romanian market economy (version 2005)," MPRA Paper 35749, University Library of Munich, Germany.
    6. Eric Heyer & Frédéric Reynés & Henri Sterdyniak, 2007. "Structural and reduced approaches of the equilibrium rate of unemployment, a comparison between France and the United States," SciencePo Working papers Main hal-03415930, HAL.
    7. Roger Perman & Stephan Gaetan & Christophe Tavera, 2013. "Okun's law - a meta analysis," Working Papers 1311, University of Strathclyde Business School, Department of Economics.
    8. Lemoine, Matthieu & Mazzi, Gian Luigi & Monperrus-Veroni, Paola & Reynes, Frédéric, 2008. "Real time estimation of potential output and output gap for theeuro-area: comparing production function with unobserved componentsand SVAR approaches," MPRA Paper 13128, University Library of Munich, Germany, revised Nov 2008.
    9. Camba-Mendez, G.C. & Palenzuela-Rodriguez, D., 2001. "Assessemt Criteria for Output Gap Estimates," Papers 54, Quebec a Montreal - Recherche en gestion.
    10. Franz Wolfgang, 2001. "Neues von der NAIRU? / News from the NAIRU?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 221(3), pages 256-284, June.
    11. Rafael R. S. Guimaraes, 2022. "Deep Learning Macroeconomics," Papers 2201.13380, arXiv.org.
    12. Eric Heyer & Frédéric Reynès & Henri Sterdyniak, 2005. "Variables observables et inobservables dans la théorie du taux de chômage d'équilibre, une comparaison France / Etats-Unis," SciencePo Working papers Main hal-01304310, HAL.
    13. Dany Lang & Mark Setterfield & Ibrahim Shikaki, 2020. "Is there scientific progress in macroeconomics? The case of the NAIRU," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 17(1), pages 19-38, April.
    14. Berger, Tino & Everaert, Gerdie, 2010. "Labour taxes and unemployment evidence from a panel unobserved component model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 354-364, March.
    15. Ángel Guillén & Gabriel Rodríguez, 2014. "Trend-cycle decomposition for Peruvian GDP: application of an alternative method," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 23(1), pages 1-44, December.
    16. Gustav Horn & Camille Logeay & Silke Tober, 2007. "Estimating Germany's Potential Output," IMK Working Paper 02-2007, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    17. Cui, Wei & Härdle, Wolfgang Karl & Wang, Weining, 2015. "Estimation of NAIRU with inflation expectation data," SFB 649 Discussion Papers 2015-010, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    18. Schumacher, Christian, 2000. "Forecasting trend output in the Euro area," HWWA Discussion Papers 109, Hamburg Institute of International Economics (HWWA).
    19. Cui, W. & Härdle, W.K. & Wang, W., 2016. "Estimation of NAIRU with In ation Expectation Data," Working Papers 16/05, Department of Economics, City University London.
    20. Schleer, Frauke & Kappler, Marcus, 2014. "The Phillips Curve: (In)stability, the role of credit, and implications for potential output measurement," ZEW Discussion Papers 14-067, ZEW - Leibniz Centre for European Economic Research.
    21. Arabinda Basistha & Richard Startz, 2004. "Measuring the NAIRU with Reduced Uncertainty: A Multiple Indicator-Common Component Approach," Working Papers UWEC-2004-22, University of Washington, Department of Economics.
    22. Yasutomo Murasawa, 2014. "Measuring the natural rates, gaps, and deviation cycles," Empirical Economics, Springer, vol. 47(2), pages 495-522, September.
    23. Camilla Mastromarco & Léopold Simar & Valentin Zelenyuk, 2021. "Predicting recessions with a frontier measure of output gap: an application to Italian economy," Empirical Economics, Springer, vol. 60(6), pages 2701-2740, June.
    24. Sven Schreiber, 2011. "Estimating the natural rate of unemployment in euro-area countries with co-integrated systems," Post-Print hal-00671241, HAL.
    25. Christophe Planas & Alessandro Rossi, 2004. "Can inflation data improve the real-time reliability of output gap estimates?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 121-133.
    26. Alvaro Aguiar & Manuel Martins, 2005. "Testing the significance and the non-linearity of the Phillips trade-off in the Euro Area," Empirical Economics, Springer, vol. 30(3), pages 665-691, October.
    27. Cécile Denis & Daniel Grenouilleau & Kieran Mc Morrow & Werner Röger, 2006. "Calculating potential growth rates and output gaps - A revised production function approach," European Economy - Economic Papers 2008 - 2015 247, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    28. Alessandro Cianci, 2016. "Disoccupazione strutturale in Italia e regole europee di bilancio," a/ Working Papers Series 1601, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    29. Döpke, Jörg & Chagny, Odile, 2001. "Measures of the Output Gap in the Euro-Zone: An Empirical Assessment of Selected Methods," Kiel Working Papers 1053, Kiel Institute for the World Economy (IfW Kiel).
    30. Tommaso Proietti, 2009. "Structural Time Series Models for Business Cycle Analysis," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 9, pages 385-433, Palgrave Macmillan.
    31. Kajuth Florian, 2016. "NAIRU Estimates for Germany: New Evidence on the Inflation–Unemployment Tradeoff," German Economic Review, De Gruyter, vol. 17(1), pages 104-125, February.
    32. Mohamad A. Abou Hamia, 2016. "Jobless growth: empirical evidences from the Middle East and North Africa region [Wachstum ohne Beschäftigung – empirische Evidenz aus Nahost und Nordafrika]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 49(3), pages 239-251, November.
    33. Cécile Denis & Kieran Mc Morrow & Werner Röger, 2002. "Production function approach to calculating potential growth and output gaps - estimates for the EU Member States and the US," European Economy - Economic Papers 2008 - 2015 176, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    34. Gebhard Flaig & Claudia Plötscher, 2000. "Estimating the Output Gap Using Business Survey Data - A Bivariate Structural Time Series Model for the German Economy," CESifo Working Paper Series 233, CESifo.
    35. Kajuth, Florian, 2012. "Identifying the Phillips curve through shifts in volatility," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 975-991.
    36. Łukasz Arendt, 2005. "Próba oszacowania NAIRU dla Polski," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5-6, pages 1-23.
    37. Zhang, Chengsi & Murasawa, Yasutomo, 2011. "Output gap measurement and the New Keynesian Phillips curve for China," Economic Modelling, Elsevier, vol. 28(6), pages 2462-2468.
    38. Weyerstraß, Klaus, 2001. "Methoden der Schätzung des gesamtwirtschaftlichen Produktionspotentials und der Produktionslücke," IWH Discussion Papers 142/2001, Halle Institute for Economic Research (IWH).
    39. Fontanari, Claudia & Palumbo, Antonella & Salvatori, Chiara, 2020. "Potential Output in Theory and Practice: A Revision and Update of Okun's Original Method," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 247-266.
    40. T. Berger, 2008. "Estimating Europe’s Natural Rates from a forward-looking Phillips curve," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/498, Ghent University, Faculty of Economics and Business Administration.
    41. Rodríguez, Gabriel, 2009. "Using A Forward-Looking Phillips Curve to Estimate the Output Gap in Peru," Working Papers 2009-010, Banco Central de Reserva del Perú.
    42. Antonella Palumbo, 2008. "I metodi di stima del PIL potenziale tra fondamenti di Teoria economica e Contenuto empirico," Departmental Working Papers of Economics - University 'Roma Tre' 0092, Department of Economics - University Roma Tre.
    43. Mastromarco, Camilla & Simar, Leopold & Wilson, Paul, 2019. "Predicting Recessions: A New Measure of Output Gap as Predictor," LIDAM Discussion Papers ISBA 2019023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    44. Leu, Shawn Chen-Yu & Sheen, Jeffrey, 2011. "A small New Keynesian state space model of the Australian economy," Economic Modelling, Elsevier, vol. 28(1-2), pages 672-684, January.
    45. Emilian Dobrescu, 2009. "Estimating the Total Factor Productivity in Romanian Economy," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(26), pages 512-521, June.
    46. Basistha, Arabinda & Nelson, Charles R., 2007. "New measures of the output gap based on the forward-looking new Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 498-511, March.
    47. Institut für Weltwirtschaft (IfW) (Ed.), 2011. "Zur Methode der Potentialschätzung," Kiel Insight 2011.10, Kiel Institute for the World Economy (IfW Kiel).
    48. Österholm, Pär & Mossfeldt, Marcus, 2010. "The Persistent Labour-Market Effects of the Financial Crisis," Working Papers 117, National Institute of Economic Research.
    49. Philippe Moës, 2006. "The production function approach to the Belgian output gap, Estimation of a Multivariate Structural Time Series Model," Working Paper Research 89, National Bank of Belgium.
    50. Alvaro Aguiar & Manuel M. F. Martins, 2003. "Trend, cycle, and non-linear trade-off in the Euro Area 1970-2001," FEP Working Papers 122, Universidade do Porto, Faculdade de Economia do Porto.
    51. Malki, Mostafa & Thompson, Henry, 2014. "Morocco and the US Free Trade Agreement: A specific factors model with unemployment and energy imports," Economic Modelling, Elsevier, vol. 40(C), pages 269-274.
    52. José R. Maria, . "Como Medir o Desemprego? Implicações para a NAIRU," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    53. International Monetary Fund, 2005. "Inflation Targeting and Output Growth: Empirical Evidence for the European Union," IMF Working Papers 2005/089, International Monetary Fund.
    54. Francesco Furlanetto & Kåre Hagelund & Frank Hansen & Ørjan Robstad, 2020. "Norges Bank Output Gap Estimates: Forecasting Properties, Reliability and Cyclical Sensitivity," Working Paper 2020/7, Norges Bank.
    55. Tino Berger, 2011. "Estimating Europe’s natural rates," Empirical Economics, Springer, vol. 40(2), pages 521-536, April.
    56. Mr. Natan P. Epstein & Corrado Macchiarelli, 2010. "Estimating Poland's Potential Output: A Production Function Approach," IMF Working Papers 2010/015, International Monetary Fund.
    57. Xiaoshan Chen & Terence Mills, 2012. "Measuring the Euro area output gap using a multivariate unobserved components model containing phase shifts," Empirical Economics, Springer, vol. 43(2), pages 671-692, October.
    58. Christian Schumacher, 2008. "Measuring uncertainty of the euro area NAIRU: Monte Carlo and empirical evidence for alternative confidence intervals in a state space framework," Empirical Economics, Springer, vol. 34(2), pages 357-379, March.
    59. Claar, Victor V, 2002. "Is the NAIRU More Useful in Forecasting Inflation than the Natural Rate of Unemployment?," MPRA Paper 14257, University Library of Munich, Germany.
    60. Gabriel RODRIGUEZ, 2010. "Estimating Output Gap, Core Inflation, And The Nairu For Peru, 1979-2007," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 10(1).
    61. Ahsan ul Haq Satti & Wasim Shahid Malik, 2017. "The Unreliability of Output-Gap Estimates in Real Time," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 56(3), pages 193-219.
    62. Dobrescu, Emilian, 2006. "Integration of macroeconomic behavioural relationships and the input-output block: Romanian modelling experience," MPRA Paper 35748, University Library of Munich, Germany.
    63. Paolo Guarda, 2002. "Potential output and the output gap in Luxembourg: some alternative methods," BCL working papers 4, Central Bank of Luxembourg.
    64. Charles St-Arnaud, 2004. "Une approche éclectique d'estimation du PIB potentiel pour le Royaume-Uni," Staff Working Papers 04-46, Bank of Canada.
    65. Arabinda Basistha, 2007. "Trend‐cycle correlation, drift break and the estimation of trend and cycle in Canadian GDP," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(2), pages 584-606, May.
    66. Farzana Shaheen & Azad Haider & Sajid Amin Javed, 2011. "Estimating Pakistan's Time Varying Non-Accelerating Inflation Rate of Unemployment: An Unobserved Component Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 1(4), pages 172-179.
    67. Rodríguez, Gabriel, 2009. "Estimating Output Gap, Core Inflation, and the NAIRU for Peru," Working Papers 2009-011, Banco Central de Reserva del Perú.
    68. Simona Hašková & Marek Vochozka, 2018. "Duality in Cyclical Trends in European Union Confirmed," SAGE Open, , vol. 8(1), pages 21582440177, January.
    69. Mihaela Simionescu, 2014. "The Kalman Filter Approach for Estimating the Natural Unemployment Rate in Romania," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 10(1), pages 148-159, February.
    70. Abou Hamia, Mohamad A., 2016. "Jobless growth : empirical evidences from the Middle East and North Africa region (Wachstum ohne Beschäftigung : empirische Evidenz aus Nahost und Nordafrika)," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 49(3), pages 239-251.
    71. Francesco Furlanetto & Kåre Hagelund & Frank Hansen & Ørjan Robstad, 2023. "Norges Bank Output Gap Estimates: Forecasting Properties, Reliability, Cyclical Sensitivity and Hysteresis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 238-267, February.
    72. Ms. Silvia Sgherri, 2005. "Long-Run Productivity Shifts and Cyclical Fluctuations: Evidence for Italy," IMF Working Papers 2005/228, International Monetary Fund.
    73. Bassanetti, Antonio & Döpke, Jörg & Torrini, Roberto & Zizza, Roberta, 2006. "Capital, labour and productivity: What role do they play in the potential GPD weakness of France, Germany and Italy?," Discussion Paper Series 1: Economic Studies 2006,09, Deutsche Bundesbank.
    74. Martin Boďa & Mariana Považanová, 2023. "How credible are Okun coefficients? The gap version of Okun’s law for G7 economies," Economic Change and Restructuring, Springer, vol. 56(3), pages 1467-1514, June.
    75. Nicholas Apergis & Stephen M. Miller & Alexandros Panethimitakis & Athanassios Vamvakidis, 2005. "Inflation Targeting and Output Growth: Evidence from Aggregate European Data," Working papers 2005-06, University of Connecticut, Department of Economics.
    76. Jean-Pierre Geldenhuys & Marina Marinkov, 2007. "Robust Estimates of Okun’s Coefficient for South Africa:," Working Papers 055, Economic Research Southern Africa.
    77. Gebhard Flaig, 2002. "Unoberserved Components Models for Quarterly German GDP," CESifo Working Paper Series 681, CESifo.

  11. Assarsson, B. & Jansson, P., 1995. "Some Further Evidence on Hysteresis in Unemployment Rates: The Cases of Denmark and Sweden," Papers 1995-16, Uppsala - Working Paper Series.

    Cited by:

    1. Lindblad, Hans & Sellin, Peter, 2003. "The Equilibrium Rate of Unemployment and the Real Exchange Rate: An Unobserved Components System Approach," Working Paper Series 152, Sveriges Riksbank (Central Bank of Sweden).
    2. Jacobson, Tor & Vredin, Anders & Warne, Anders, 1997. "Common trends and hysteresis in Scandinavian unemployment," European Economic Review, Elsevier, vol. 41(9), pages 1781-1816, December.

  12. Dahlberg, M. & Jansson, P., 1993. "On the Autoregressive Correction of the Augmented Dickey- Fuller Test," Papers 1993-16, Uppsala - Working Paper Series.

    Cited by:

    1. Selahattin Dibooglu, 1995. "Accounting for U.S. Current Account Deficits: An Empirical Investigation," International Finance 9502003, University Library of Munich, Germany.

Articles

  1. Hansson, Jesper & Jansson, Per & Lof, Marten, 2005. "Business survey data: Do they help in forecasting GDP growth?," International Journal of Forecasting, Elsevier, vol. 21(2), pages 377-389.

    Cited by:

    1. Bergvall, Anders & Forsfält, Tomas & Hjelm, Göran & Nilsson, Jonny & Vartiainen, Juhana, 2007. "KIMOD 1.0 Documentation of NIER´s Dynamic Macroeconomic General Equilibrium Model of the Swedish Economy," Working Papers 100, National Institute of Economic Research.
    2. Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017. "The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey," Economic Modelling, Elsevier, vol. 64(C), pages 26-39.
    3. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    4. Robert Lehmann & Antje Weyh, 2014. "Forecasting employment in Europe: Are survey results helpful?," ifo Working Paper Series 182, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    5. Nicoletta Pashourtidou & Andreas Tsiaklis, 2011. "An Analysis of Firms’ Expectations about Activity and Employment," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 5(1), pages 71-85, June.
    6. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 1-14, January.
    7. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”," AQR Working Papers 201706, University of Barcelona, Regional Quantitative Analysis Group, revised May 2017.
    8. Andrzej Cieślik & Mahdi Ghodsi, 2021. "Economic Sentiment Indicators and Foreign Direct Investment: Empirical Evidence from European Union Countries," wiiw Working Papers 203, The Vienna Institute for International Economic Studies, wiiw.
    9. Pär Stockhammar & Pär Österholm, 2016. "Effects of US policy uncertainty on Swedish GDP growth," Empirical Economics, Springer, vol. 50(2), pages 443-462, March.
    10. Claudia Foroni & Francesco Ravazzolo & Luca Rossini, 2020. "Are low frequency macroeconomic variables important for high frequency electricity prices?," Papers 2007.13566, arXiv.org, revised Dec 2022.
    11. Knut Are Aastveit & Andr K. Anundsen & Eyo I. Herstad, 2017. "Residential investment and recession predictability," Working Papers No 8/2017, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    12. Kjetil Martinsen & Francesco Ravazzolo & Fredrik Wulfsberg, 2011. "Forecasting macroeconomic variables using disaggregate survey data," Working Paper 2011/04, Norges Bank.
    13. Kevin Moran & Simplice Aimé Nono & Imad Rherrad, 2018. "Forecasting with Many Predictors: How Useful are National and International Confidence Data?," Cahiers de recherche 1814, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    14. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "A new approach for the quantification of qualitative measures of economic expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2685-2706, November.
    15. Lourenço, Nuno & Gouveia, Carlos Melo & Rua, António, 2021. "Forecasting tourism with targeted predictors in a data-rich environment," Economic Modelling, Elsevier, vol. 96(C), pages 445-454.
    16. Kristian Jönsson, 2020. "Machine Learning and Nowcasts of Swedish GDP," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 123-134, November.
    17. David Alaminos & M. Belén Salas & Manuel A. Fernández-Gámez, 2022. "Quantum Computing and Deep Learning Methods for GDP Growth Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 803-829, February.
    18. Qiao, Zhuo & Chu, Patrick Kuok-Kun, 2014. "Does fine wine price contain useful information to forecast GDP? Evidence from major developed countries," Economic Modelling, Elsevier, vol. 38(C), pages 75-79.
    19. Antipa, P. & Barhoumi, K. & Brunhes-Lesage, V. & Darné, O., 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Working papers 401, Banque de France.
    20. Mariana Hatmanu & Cristina Cautisanu & Mihaela Ifrim, 2020. "The Impact of Interest Rate, Exchange Rate and European Business Climate on Economic Growth in Romania: An ARDL Approach with Structural Breaks," Sustainability, MDPI, vol. 12(7), pages 1-23, April.
    21. Par Osterholm, 2010. "The effect on the Swedish real economy of the financial crisis," Applied Financial Economics, Taylor & Francis Journals, vol. 20(4), pages 265-274.
    22. Assarsson, Bengt & Österholm, Pär, 2015. "Do Swedish Consumer Confidence Indicators Do What They Are Intended to Do?," Working Papers 139, National Institute of Economic Research.
    23. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," AQR Working Papers 201801, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2018.
    24. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Evolutionary Computation for Macroeconomic Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 833-849, February.
    25. Mahmut Gunay, 2018. "Nowcasting Annual Turkish GDP Growth with MIDAS," CBT Research Notes in Economics 1810, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    26. Rünstler, Gerhard & Bańbura, Marta, 2007. "A look into the factor model black box: publication lags and the role of hard and soft data in forecasting GDP," Working Paper Series 751, European Central Bank.
    27. Anja Kukuvec & Harald Oberhofer, 2018. "The propagation of business sentiment within the European Union," Department of Economics Working Papers wuwp257, Vienna University of Economics and Business, Department of Economics.
    28. Martin Solberger & Erik Spånberg, 2020. "Estimating a Dynamic Factor Model in EViews Using the Kalman Filter and Smoother," Computational Economics, Springer;Society for Computational Economics, vol. 55(3), pages 875-900, March.
    29. Daniel Roash & Tanya Suhoy, 2019. "Sentiment Indicators Based on a Short Business Tendency Survey," Bank of Israel Working Papers 2019.11, Bank of Israel.
    30. Barhoumi, K. & Brunhes-Lesage, V. & Darné, O. & Ferrara, L. & Pluyaud, B. & Rouvreau, B., 2008. "Monthly forecasting of French GDP: A revised version of the OPTIM model," Working papers 222, Banque de France.
    31. Inna S. Lola & Anton Manukov, 2020. "Forecasting Employment In Small Businesses In Russia: The Relevance Of Business Tendency Surveys," HSE Working papers WP BRP 113/STI/2020, National Research University Higher School of Economics.
    32. Maria Billstam & Kristina Frändén & Johan Samuelsson & Pär Österholm, 2017. "Quasi-Real-Time Data of the Economic Tendency Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 105-138, May.
    33. Luboš Marek & Stanislava Hronová & Richard Hindls, 2019. "Možnosti odhadů krátkodobých makroekonomických agregátů na základě výsledků konjunkturních průzkumů [Possibilities of Estimations of Short-term Macroeconomic Aggregates Based on Business Survey Res," Politická ekonomie, Prague University of Economics and Business, vol. 2019(4), pages 347-370.
    34. Margareta ILIE, 2018. "Analysis Of Sentiment Indicator For The Euro Area (19 Countries) Under The Influence Of Four Management Indicators Using Graphical Representation," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 5, pages 302-322.
    35. Camila Figueroa & Michael Pedersen, 2019. "Extracting Information of the Economic Activity from Business and Consumer Surveys in an Emerging Economy (Chile)," Working Papers Central Bank of Chile 832, Central Bank of Chile.
    36. Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.
    37. António Rua & Carlos Melo Gouveia & Nuno Lourenço, 2020. "Forecasting tourism with targeted predictors in a data-rich environment," Working Papers w202005, Banco de Portugal, Economics and Research Department.
    38. Dr Silvia Lui & Dr Martin Weale & Dr. James Mitchell, 2009. "The utility of expectational data: Firm-level evidence using matched qualitative-quantitative UK surveys," National Institute of Economic and Social Research (NIESR) Discussion Papers 343, National Institute of Economic and Social Research.
    39. Knut Are Aastveit & Anne Sofie Jore & Francesco Ravazzolo, 2014. "Forecasting recessions in real time," Working Paper 2014/02, Norges Bank.
    40. José R. Maria & Sara Serra, . "Previsão do Investimento em Portugal com Base em Indicadores Qualitativos e Quantitativos," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    41. P�r Österholm, 2014. "Survey data and short-term forecasts of Swedish GDP growth," Applied Economics Letters, Taylor & Francis Journals, vol. 21(2), pages 135-139, January.
    42. Hanan Naser, 2015. "Estimating and forecasting Bahrain quarterly GDP growth using simple regression and factor-based methods," Empirical Economics, Springer, vol. 49(2), pages 449-479, September.
    43. Robert Lehmann, 2020. "The Forecasting Power of the ifo Business Survey," CESifo Working Paper Series 8291, CESifo.
    44. José R. Maria & Sara Serra, 2008. "Forecasting investment: A fishing contest using survey data," Working Papers w200818, Banco de Portugal, Economics and Research Department.
    45. Petar Sorić & Blanka Škrabić Perić & Marina Matošec, 2022. "Breaking new grounds: a fresh insight into the leading properties of business and consumer survey indicators," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4511-4535, December.
    46. 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.
    47. Mansoor Maitah & Daniel Toth & Elena Kuzmenko & Karel r dl & Helena Rezbov & Petra nov, 2016. "Forecast of Employment in Switzerland: The Macroeconomic View," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 132-138.
    48. Kevin Moran & Simplice Aime Nono, 2016. "Using Confidence Data to Forecast the Canadian Business Cycle," Cahiers de recherche 1606, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    49. Raoufina, Karine, 2016. "Forecasting Employment Growth in Sweden Using a Bayesian VAR Model," Working Papers 144, National Institute of Economic Research.
    50. Daniel Kaufmann & Rolf Scheufele, 2015. "Business tendency surveys and macroeconomic fluctuations," KOF Working papers 15-378, KOF Swiss Economic Institute, ETH Zurich.
    51. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    52. Kladivko, Kamil & Österholm, Pär, 2020. "Can Households Predict where the Macroeconomy is Headed?," Working Papers 2020:11, Örebro University, School of Business.
    53. Sorić, Petar & Lolić, Ivana & Claveria, Oscar & Monte, Enric & Torra, Salvador, 2019. "Unemployment expectations: A socio-demographic analysis of the effect of news," Labour Economics, Elsevier, vol. 60(C), pages 64-74.
    54. Pär Österholm, 2010. "Improving Unemployment Rate Forecasts Using Survey Data," Finnish Economic Papers, Finnish Economic Association, vol. 23(1), pages 16-26, Spring.
    55. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    56. Javier Jareño, 2007. "Opinion-based surveys in the conjunctural analysis of the Spanish economy," Occasional Papers 0706, Banco de España.
    57. Boriss Siliverstovs, 2010. "Assessing Predictive Content of the KOF Barometer in Real Time," KOF Working papers 10-249, KOF Swiss Economic Institute, ETH Zurich.
    58. Sergey V. Arzhenovskiy, 2024. "Forecasting GDP Dynamics Based on the Bank of Russia’s Enterprise Monitoring Data," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 31-44, February.
    59. Jan G. De Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Monash Econometrics and Business Statistics Working Papers 12/05, Monash University, Department of Econometrics and Business Statistics.
    60. Gabriel Caldas Montes & André Almeida, 2017. "Corruption and business confidence: a panel data analysis," Economics Bulletin, AccessEcon, vol. 37(4), pages 2692-2702.
    61. André Filipe Guedes Almeida & Gabriel Caldas Montes, 2020. "Effects of crime and violence on business confidence: evidence from Rio de Janeiro," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 47(7), pages 1669-1688, May.
    62. Helder Ferreira Mendonça & André Filipe Guedes Almeida, 2019. "Importance of credibility for business confidence: evidence from an emerging economy," Empirical Economics, Springer, vol. 57(6), pages 1979-1996, December.
    63. Frohm, Erik, 2020. "Price-setting and economic slack: Evidence from firm-level survey data," Journal of Macroeconomics, Elsevier, vol. 65(C).
    64. Klein, Lawrence R. & Özmucur, Süleyman, 2010. "The use of consumer and business surveys in forecasting," Economic Modelling, Elsevier, vol. 27(6), pages 1453-1462, November.

  2. Tor Jacobson & Per Jansson & Anders Vredin & Anders Warne, 2001. "Monetary policy analysis and inflation targeting in a small open economy: a VAR approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 487-520.

    Cited by:

    1. Barakchian , Seyed Mahdi, 2012. "Implications of Cointegration for Forecasting: A Review and an Empirical Analysis," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 7(1), pages 87-118, October.
    2. Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
    3. Todd E. Clark & Michael W. McCracken, 2010. "Averaging forecasts from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29.
    4. Andrzej Toroj, 2008. "Estimation of weights for the Monetary Conditions Index in Poland," Working Papers 27, Department of Applied Econometrics, Warsaw School of Economics.
    5. Tor Jacobson & Johan Lyhagen & Rolf Larsson & Marianne Nessén, 2002. "Inflation, Exchange Rates and PPP in a Multivariate Panel Cointegration Model," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D4-2, International Conferences on Panel Data.
    6. Sophocles N. Brissimis & Thomas Vlassopoulos, 2007. "The Interaction between Mortgage Financing and Housing Prices in Greece," Working Papers 58, Bank of Greece.
    7. Todd E. Clark & Michael W. McCracken, 2006. "Forecasting of small macroeconomic VARs in the presence of instabilities," Research Working Paper RWP 06-09, Federal Reserve Bank of Kansas City.
    8. Jansson, Per & Vredin, Anders, 2001. "Forecast-based Monetary Policy in Sweden 1992-1998: A View from Within," Working Paper Series 120, Sveriges Riksbank (Central Bank of Sweden).
    9. Moosa, Imad A. & Vaz, John J., 2016. "Cointegration, error correction and exchange rate forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 21-34.
    10. Céline Gauthier & Fuchun Li, 2006. "Linking Real Activity and Financial Markets: The Bonds, Equity, and Money (BEAM) Model," Staff Working Papers 06-42, Bank of Canada.
    11. Céline Gauthier & Fuchun Li, 2005. "Linking real activity and financial markets: the first steps towards a small estimated model for Canada," BIS Papers chapters, in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 253-72, Bank for International Settlements.
    12. Michael S. Lee-Browne, 2019. "Estimating monetary policy rules in small open economies," Working Papers 2019-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    13. Per Jansson & Anders Vredin, 2001. "Forecast-based monetary policy in Sweden 1992-98: a view from within," BIS Papers chapters, in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 204-226, Bank for International Settlements.
    14. Hayat, Aziz & Ganiev, Bahodir & Tang, Xueli, 2013. "Expectations of future income and real exchange rate movements," Journal of Banking & Finance, Elsevier, vol. 37(4), pages 1274-1285.
    15. Alexius, Annika & Post, Erik, 2006. "Cointegration and the stabilizing role of exchange rates," Working Paper Series 2006:8, Uppsala University, Department of Economics.
    16. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502.
    17. Sungyup Chung, 2016. "Assessing the regional business cycle asymmetry in a multi-level structure framework: a study of the top 20 US MSAs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 229-252, January.
    18. Gunnar Bårdsen & Eilev S. Jansen & Ragnar Nymoen, 1999. "Econometric Inflation Targeting," Working Paper Series 0502, Department of Economics, Norwegian University of Science and Technology, revised 30 Oct 2001.
    19. Jamal HUSEIN & Chuck PIER, 2019. "Long-Run Sustainability Of Current Account Balance: Evidence From Twenty North And Latin American Economies," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 19(2), pages 75-90.
    20. Jang, Tae-Seok & Okano, Eiji, 2013. "Productivity shocks and monetary policy in a two-country model," Dynare Working Papers 29, CEPREMAP.
    21. Bruggeman, Annick & Donati, Paola & Warne, Anders, 2003. "Is the demand for euro area M3 stable?," Working Paper Series 255, European Central Bank.
    22. Lindé, Jesper, 2003. "Monetary Policy Shocks and Business Cycle Fluctuations in a Small Open Economy: Sweden 1986-2002," Working Paper Series 153, Sveriges Riksbank (Central Bank of Sweden).
    23. Poncela, Pilar & Senra, Eva, 2002. "Forecasting monthly us consumer price indexes through a disaggregated I(2) analysis," DES - Working Papers. Statistics and Econometrics. WS ws020301, Universidad Carlos III de Madrid. Departamento de Estadística.
    24. Sungyup Chung, 2017. "Age and Gender Group Differences in Employment Responses to Monetary Policy Shock in a Small Open Economy: The Case of Korea," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 4(2), pages 207-224, May.
    25. Aliyu, Shehu Usman Rano & Englama, Abwaku, 2009. "Is Nigeria Ready for Inflation Targeting?," MPRA Paper 14870, University Library of Munich, Germany, revised 26 Apr 2009.
    26. Noriega, Antonio E., 2004. "Long-run monetary neutrality and the unit-root hypothesis: further international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 15(2), pages 179-197, August.
    27. Par Osterholm, 2008. "A structural Bayesian VAR for model-based fan charts," Applied Economics, Taylor & Francis Journals, vol. 40(12), pages 1557-1569.
    28. Thórarinn G. Pétursson, 2002. "Wage and price formation in a small open Economy: Evidence from Iceland," Economics wp16_thorarinn, Department of Economics, Central bank of Iceland.
    29. Per Jansson & Anders Vredin, 2003. "Forecast‐Based Monetary Policy: The Case of Sweden," International Finance, Wiley Blackwell, vol. 6(3), pages 349-380, November.
    30. Adolfson, Malin & Andersson, Michael K. & Lindé, Jesper & Villani, Mattias & Vredin, Anders, 2005. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," Working Paper Series 188, Sveriges Riksbank (Central Bank of Sweden), revised 01 Jun 2006.
    31. Creel, Jérôme & Hubert, Paul, 2012. "Constrained discretion in Sweden," Research in Economics, Elsevier, vol. 66(1), pages 33-44.
    32. Sungyup Chung, 2016. "Assessing the regional business cycle asymmetry in a multi-level structure framework: a study of the top 20 US MSAs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 229-252, January.
    33. D'Adamo, Gaetano, 2010. "Estimating Central Bank preferences in a small open economy: Sweden 1995-2009," MPRA Paper 26575, University Library of Munich, Germany.
    34. Emma Bylund & Jens Iversen & Anders Vredin, 2024. "Monetary Policy in Sweden After the End of Bretton Woods," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 66(3), pages 535-590, September.

  3. Apel, Mikael & Jansson, Per, 1999. "A theory-consistent system approach for estimating potential output and the NAIRU," Economics Letters, Elsevier, vol. 64(3), pages 271-275, September.
    See citations under working paper version above.
  4. Mikael Apel & Per Jansson, 1999. "System estimates of potential output and the NAIRU," Empirical Economics, Springer, vol. 24(3), pages 373-388.

    Cited by:

    1. Bergvall, Anders & Forsfält, Tomas & Hjelm, Göran & Nilsson, Jonny & Vartiainen, Juhana, 2007. "KIMOD 1.0 Documentation of NIER´s Dynamic Macroeconomic General Equilibrium Model of the Swedish Economy," Working Papers 100, National Institute of Economic Research.
    2. Lindh, Thomas, 1999. "Medium-Term Forecasts of Potential GDP and Inflation Using Age Structure Information," Working Paper Series 99, Sveriges Riksbank (Central Bank of Sweden).
    3. Bertil Holmlund, 2003. "The Rise and Fall of Swedish Unemployment," CESifo Working Paper Series 918, CESifo.
    4. Andreas Billmeier, 2006. "Measuring a Roller Coaster: Evidence on the Finnish Output Gap," Finnish Economic Papers, Finnish Economic Association, vol. 19(2), pages 69-83, Autumn.
    5. Christophe Planas & Werner Roeger & Alessandro Rossi, 2004. "How much has labour taxation contributed to European structural unemployment?," Econometrics 0408005, University Library of Munich, Germany.
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    Cited by:

    1. Bertil Holmlund, 2003. "The Rise and Fall of Swedish Unemployment," CESifo Working Paper Series 918, CESifo.
    2. Österholm, Pär, 2010. "Unemployment and labour-force participation in Sweden," Economics Letters, Elsevier, vol. 106(3), pages 205-208, March.
    3. Emilio Congregado & Antonio Golpe & Simon Parker, 2012. "The dynamics of entrepreneurship: hysteresis, business cycles and government policy," Empirical Economics, Springer, vol. 43(3), pages 1239-1261, December.
    4. Eriksson, Stefan & Gottfries, Nils, 2005. "Ranking of job applicants, on-the-job search, and persistent unemployment," Labour Economics, Elsevier, vol. 12(3), pages 407-428, June.
    5. Brinca Pedro, 2013. "Monetary business cycle accounting for Sweden," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1085-1119, October.
    6. Österholm, Pär & Mossfeldt, Marcus, 2010. "The Persistent Labour-Market Effects of the Financial Crisis," Working Papers 117, National Institute of Economic Research.
    7. Engelbert Stockhammer & Rob Calvert Jump, 2022. "An Estimation of Unemployment Hysteresis," Working Papers PKWP2221, Post Keynesian Economics Society (PKES).
    8. Congregado, Emilio & Golpe, Antonio A. & Carmona, Mónica, 2012. "Looking for hysteresis in coal consumption in the US," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3339-3343.
    9. Robert Calvert Jump & Engelbert Stockhammer, 2019. "Reconsidering the natural rate hypothesis," FMM Working Paper 45-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    10. Magnus Gustavsson & Par Osterholm, 2006. "Hysteresis and non-linearities in unemployment rates," Applied Economics Letters, Taylor & Francis Journals, vol. 13(9), pages 545-548.

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