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Lars-Erik Öller
(Lars-Erik Oller)

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First Name:Lars-Erik
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Last Name:Oller
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RePEc Short-ID:pll19
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Research output

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Working papers

  1. Öller, L-E & Stockhammar, P, 2009. "Density forecasting of the Dow Jones share index," MPRA Paper 18582, University Library of Munich, Germany.
  2. Öller, L-E & Stockhammar, P, 2009. "On the Probability Distribution of Economic Growth," MPRA Paper 18581, University Library of Munich, Germany.
  3. Koskinen, Lasse & Öller, Lars-Erik, 2001. "A Classifying Procedure for Signaling Turning Points," SSE/EFI Working Paper Series in Economics and Finance 427, Stockholm School of Economics.
  4. Öller, Lars-Erik & Barot, Bharat, 2000. "The Accuracy of European Growth and Inflation Forecasts," Working Papers 72, National Institute of Economic Research.
  5. Öller, Lars-Erik & Barot, Bharat, 1999. "Comparing the Accuracy of European GDP Forecasts," Working Papers 64, National Institute of Economic Research.
  6. Koskinen, Lasse & Öller, Lars-Erik, 1998. "A Hidden Markov Model as a Dynamic Bayesian Classifier, With an Application to Forecasting Business-Cycle Turning Points," Working Papers 59, National Institute of Economic Research.
  7. Koskinen, Lasse & Markowski, Aleksander & Nandakumar, Parameswar & Öller, Lars-Erik, 1997. "Three Seminar Papers on Output Gap," Working Papers 55, National Institute of Economic Research.
  8. Oke, Timothy & Öller, Lars-Erik, 1997. "Testing for Short Memory in a VARMA Process," Working Papers 56, National Institute of Economic Research.
  9. Eriksson, Kimmo & Karlander, Johan & Öller, Lars-Erik, 1996. "Hierarchical Assignments: Stability and Fairness," Working Papers 50, National Institute of Economic Research.

Articles

  1. Pär Stockhammar & Lars-Erik Öller, 2011. "On the probability distribution of economic growth," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(9), pages 2023-2041, November.
  2. Öller, Lars-Erik & Stockhammar, Pär, 2010. "Rob J. Hyndman, Anne B. Koehler, J. Keith Ord and Ralph Snyder , Forecasting with Exponential Smoothing: The State Space Approach, Springer (2008) 359 pp, ISBN 978-3-540-71916-0 (paperback), [euro] 36," International Journal of Forecasting, Elsevier, vol. 26(1), pages 204-205, January.
  3. Öller, Lars-Erik & Stockhammar, Pär, 2008. "Nicolas Carnot, Vincent Koen and Bruno Tissot, Economic Forecasting , Palgrave Macmillan (2005) ISBN 1-4039-3653-6 (hardback), £65, ISBN 1-4039-3653-4 (paperback), $22.50, 315pp.," International Journal of Forecasting, Elsevier, vol. 24(1), pages 183-184.
  4. Öller, Lars-Erik, 2008. "Thomas B. Fomby and Dek Terrell, Editors, Econometric analysis of financial and economic time series, Advances in Econometrics, Volume 20, Part 2, Elsevier Ltd. (2006) 352 pages, Price, $105, ISBN-10:," International Journal of Forecasting, Elsevier, vol. 24(1), pages 179-183.
  5. Lars-Erik Öller & Karl-Gustav Hansson, 2005. "Revision of National Accounts: Swedish Expenditure Accounts and GDP," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(3), pages 363-385.
  6. Lars-Erik Öller & Lasse Koskinen, 2004. "A classifying procedure for signalling turning points," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 197-214.

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. Öller, L-E & Stockhammar, P, 2009. "On the Probability Distribution of Economic Growth," MPRA Paper 18581, University Library of Munich, Germany.

    Cited by:

    1. Pär Stockhammar & Pär Österholm, 2016. "Effects of US policy uncertainty on Swedish GDP growth," Empirical Economics, Springer, vol. 50(2), pages 443-462, March.
    2. Mahmood Ul Hassan & Pär Stockhammar, 2016. "Fitting probability distributions to economic growth: a maximum likelihood approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(9), pages 1583-1603, July.
    3. Saket Saurabh & Ayush Trivedi & Nithilaksh P. Lokesh & Bhagyashree Gaikwad, 2020. "Sustaining the economy under partial lockdown: A pandemic centric approach," Papers 2005.08273, arXiv.org.

  2. Koskinen, Lasse & Öller, Lars-Erik, 2001. "A Classifying Procedure for Signaling Turning Points," SSE/EFI Working Paper Series in Economics and Finance 427, Stockholm School of Economics.

    Cited by:

    1. Klaus Abberger, 2004. "Nonparametric Regression and the Detection of Turning Points in the Ifo Business Climate," CESifo Working Paper Series 1283, CESifo.
    2. Tan, Zhengxun & Liu, Juan & Chen, Juanjuan, 2021. "Detecting stock market turning points using wavelet leaders method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    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. Michał Bernardelli & Mariusz Próchniak & Bartosz Witkowski, 2017. "Cycle and Income-Level Convergence in the EU Countries: An Identification of Turning Points Based on the Hidden Markov Models," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 47, pages 27-42.
    5. Chow, Hwee Kwan & Choy, Keen Meng, 2006. "Forecasting the global electronics cycle with leading indicators: A Bayesian VAR approach," International Journal of Forecasting, Elsevier, vol. 22(2), pages 301-315.
    6. Michal Bernardelli & Mariusz Prochniak & Bartosz Witkowski, 2017. "The application of hidden Markov models to the analysis of real convergence," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 59-80.
    7. Michał Bernardelli & Mariusz Próchniak & Bartosz Witkowski, 2018. "Przydatność ukrytych modeli Markowa do oceny podobieństwa krajów w zakresie synchronizacji wahań cyklicznych i wyrównywania się poziomów dochodu," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 53, pages 77-96.
    8. Guizzardi, Andrea & Stacchini, Annalisa, 2015. "Real-time forecasting regional tourism with business sentiment surveys," Tourism Management, Elsevier, vol. 47(C), pages 213-223.
    9. Andersson, Eva, 2007. "Effect of dependency in systems for multivariate surveillance," Research Reports 2007:1, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    10. 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.

  3. Öller, Lars-Erik & Barot, Bharat, 2000. "The Accuracy of European Growth and Inflation Forecasts," Working Papers 72, National Institute of Economic Research.

    Cited by:

    1. Stekler, H.O., 2007. "The future of macroeconomic forecasting: Understanding the forecasting process," International Journal of Forecasting, Elsevier, vol. 23(2), pages 237-248.
    2. Chua, Chew Lian & Tsiaplias, Sarantis, 2011. "Predicting economic contractions and expansions with the aid of professional forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 438-451, April.
    3. Loungani, Prakash, 2001. "How accurate are private sector forecasts? Cross-country evidence from consensus forecasts of output growth," International Journal of Forecasting, Elsevier, vol. 17(3), pages 419-432.
    4. Carlos Medel, 2018. "Econometric Analysis on Survey-data-based Anchoring of Inflation Expectations in Chile," Working Papers Central Bank of Chile 825, Central Bank of Chile.
    5. Casarin, Roberto & Costantini, Mauro & Paradiso, Antonio, 2021. "On the role of dependence in sticky price and sticky information Phillips curve: Modelling and forecasting," Economic Modelling, Elsevier, vol. 105(C).
    6. Heilemann, Ullrich & Stekler, Herman, 2007. "Introduction to "The future of macroeconomic forecasting"," International Journal of Forecasting, Elsevier, vol. 23(2), pages 159-165.
    7. Chen, Qiwei & Costantini, Mauro & Deschamps, Bruno, 2016. "How accurate are professional forecasts in Asia? Evidence from ten countries," International Journal of Forecasting, Elsevier, vol. 32(1), pages 154-167.
    8. Grant Allan, 2012. "Evaluating the usefulness of forecasts of relative growth," Working Papers 1214, University of Strathclyde Business School, Department of Economics.
    9. Lahiri, Kajal & Sheng, Xuguang, 2010. "Learning and heterogeneity in GDP and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 26(2), pages 265-292, April.
    10. Eva A. Arnold, 2013. "The role of data revisions and disagreement in professional forecasts," NBP Working Papers 153, Narodowy Bank Polski.
    11. Elías Albagli & Gabriela Contreras & Pablo García & Igal Magendzo & Rodrigo Valdés, 2003. "Errores de Proyección en Perspectiva," Working Papers Central Bank of Chile 199, Central Bank of Chile.
    12. Jagric, Timotej & Beko, Jani, 2011. "How Good are the Growth and Inflation Forecasts for Slovenia?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 47-67, December.
    13. Mihaela SIMIONESCU, 2015. "The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 133-149, March.
    14. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    15. Vasconcelos de Deus, Joseph David Barroso & de Mendonça, Helder Ferreira, 2017. "Fiscal forecasting performance in an emerging economy: An empirical assessment of Brazil," Economic Systems, Elsevier, vol. 41(3), pages 408-419.
    16. Ullrich Heilemann & Karsten Müller, 2018. "Wenig Unterschiede – Zur Treffsicherheit Internationaler Prognosen und Prognostiker [Few differences—on the accuracy of international forecasts and forecaster]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 12(3), pages 195-233, December.
    17. Paulo Júlio & Pedro M. Esperança, 2012. "Evaluating the forecast quality of GDP components: An application to G7," GEE Papers 0047, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Apr 2012.
    18. Tsuchiya, Yoichi, 2016. "Directional analysis of fiscal sustainability: Revisiting Domar's debt sustainability condition," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 189-201.
    19. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2014. "On the Directional Accuracy of Inflation Forecasts: Evidence from South African Survey Data," Working Papers 201463, University of Pretoria, Department of Economics.
    20. Ullrich Heilemann & Herman O. Stekler, 2013. "Has The Accuracy of Macroeconomic Forecasts for Germany Improved?," German Economic Review, Verein für Socialpolitik, vol. 14(2), pages 235-253, May.
    21. Tsuchiya, Yoichi, 2023. "Assessing the World Bank’s growth forecasts," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 64-84.
    22. Ashiya, Masahiro, 2007. "Forecast accuracy of the Japanese government: Its year-ahead GDP forecast is too optimistic," Japan and the World Economy, Elsevier, vol. 19(1), pages 68-85, January.
    23. Y. Tsuchiya, 2014. "A directional evaluation of corporate executives' exchange rate forecasts," Applied Economics, Taylor & Francis Journals, vol. 46(1), pages 95-101, January.
    24. Döhrn, Roland, 2006. "Improving Business Cycle Forecasts' Accuracy - What Can We Learn from Past Errors?," RWI Discussion Papers 51, RWI - Leibniz-Institut für Wirtschaftsforschung.
    25. Christoph Behrens, 2019. "A Nonparametric Evaluation of the Optimality of German Export and Import Growth Forecasts under Flexible Loss," Economies, MDPI, vol. 7(3), pages 1-23, September.
    26. Oller, Lars-Erik & Teterukovsky, Alex, 2007. "Quantifying the quality of macroeconomic variables," International Journal of Forecasting, Elsevier, vol. 23(2), pages 205-217.
    27. Blaskowitz, Oliver & Herwartz, Helmut, 2014. "Testing the value of directional forecasts in the presence of serial correlation," International Journal of Forecasting, Elsevier, vol. 30(1), pages 30-42.
    28. Kappler, Marcus, 2007. "Projecting the Medium-Term: Outcomes and Errors for GDP Growth," ZEW Discussion Papers 07-068, ZEW - Leibniz Centre for European Economic Research.
    29. Masahiro Ashiya, 2006. "Testing the rationality of forecast revisions made by the IMF and the OECD," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(1), pages 25-36.
    30. Dimitrios Papastamos & Fotis Mouzakis & Simon Stevenson, 2014. "Rationality and Momentum in Real Estate Investment Forecasts," Real Estate & Planning Working Papers rep-wp2014-07, Henley Business School, University of Reading.
    31. Ricardo Sousa & James Yetman, 2016. "Inflation expectations and monetary policy," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 41-67, Bank for International Settlements.
    32. Petralias, Athanassios & Petros, Sotirios & Prodromídis, Pródromos, 2013. "Greece in recession: economic predictions, mispredictions and policy implications," LSE Research Online Documents on Economics 52626, London School of Economics and Political Science, LSE Library.
    33. Pina, Álvaro M. & Venes, Nuno M., 2011. "The political economy of EDP fiscal forecasts: An empirical assessment," European Journal of Political Economy, Elsevier, vol. 27(3), pages 534-546, September.
    34. Pablo Pincheira & Roberto Álvarez, 2012. "Evaluation of Short Run Inflation Forecasts in Chile," Working Papers Central Bank of Chile 674, Central Bank of Chile.
    35. Greer, Mark, 2003. "Directional accuracy tests of long-term interest rate forecasts," International Journal of Forecasting, Elsevier, vol. 19(2), pages 291-298.
    36. Blaskowitz, Oliver J. & Herwartz, Helmut, 2008. "Testing directional forecast value in the presence of serial correlation," SFB 649 Discussion Papers 2008-073, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    37. H.O. Stekler & Huixia Zhang, 2013. "An evaluation of Chinese economic forecasts," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 11(4), pages 251-259, November.
    38. de Mendonça, Helder Ferreira & Baca, Adriana Cabrera, 2022. "Fiscal opacity and reduction of income inequality through taxation: Effects on economic growth," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 69-82.
    39. Joseph David Barroso Vasconcelos de Deus & Helder Ferreira de Mendonça, 2015. "Empirical evidence on fiscal forecasting in Eurozone countries," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 42(5), pages 838-860, October.
    40. Isiklar, Gultekin & Lahiri, Kajal & Loungani, Prakash, 2006. "How quickly do forecasters incorporate news? Evidence from cross-country surveys," MPRA Paper 22065, University Library of Munich, Germany.
    41. Oliver Blaskowitz & Helmut Herwartz, 2009. "Adaptive forecasting of the EURIBOR swap term structure," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(7), pages 575-594.
    42. Rajesh, Raj & Srivastava, Vineet, 2020. "GDP Growth Forecasts of the Reserve Bank of India – A Performance Assessment," MPRA Paper 104131, University Library of Munich, Germany, revised 11 Oct 2020.
    43. Tsuchiya, Yoichi, 2013. "Do corporate executives have accurate predictions for the economy? A directional analysis," Economic Modelling, Elsevier, vol. 30(C), pages 167-174.
    44. Herwartz, Helmut, 2017. "Stock return prediction under GARCH — An empirical assessment," International Journal of Forecasting, Elsevier, vol. 33(3), pages 569-580.
    45. Isiklar, Gultekin & Lahiri, Kajal, 2007. "How far ahead can we forecast? Evidence from cross-country surveys," International Journal of Forecasting, Elsevier, vol. 23(2), pages 167-187.
    46. Papastamos, Dimitrios & Matysiak, George & Stevenson, Simon, 2015. "Assessing the accuracy and dispersion of real estate investment forecasts," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 141-152.
    47. Natalia Shmatko & Alina Lavrynenko & Dirk Meissner, 2017. "Communicating Company Innovation Culture: Assessment Through Job Advertisements Analysis," HSE Working papers WP BRP 74/STI/2017, National Research University Higher School of Economics.
    48. Katharina Glass, 2018. "Predictability of Euro Area Revisions," Macroeconomics and Finance Series 201801, University of Hamburg, Department of Socioeconomics.
    49. Reto Cueni & Bruno S. Frey, 2014. "Forecasts and Reactivity," CREMA Working Paper Series 2014-10, Center for Research in Economics, Management and the Arts (CREMA).
    50. Yoichi Tsuchiya, 2021. "Thirty‐year assessment of Asian Development Bank's forecasts," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(2), pages 18-40, November.
    51. Paulo Júlio & Pedro M. Esperança & João C. Fonseca, 2011. "Evaluating the forecast quality of GDP components," GEE Papers 0041 Classification-C52, , Gabinete de Estratégia e Estudos, Ministério da Economia, revised Oct 2011.
    52. Masahiro Ashiya, 2003. "The directional accuracy of 15-months-ahead forecasts made by the IMF," Applied Economics Letters, Taylor & Francis Journals, vol. 10(6), pages 331-333.
    53. Gavin, William T. & Mandal, Rachel J., 2003. "Evaluating FOMC forecasts," International Journal of Forecasting, Elsevier, vol. 19(4), pages 655-667.
    54. Turgut Kisinbay & Mr. Eric Parrado & Mr. Rodolfo Maino & Mr. Jorge I Canales Kriljenko, 2006. "Setting the Operational Framework for Producing Inflation Forecasts," IMF Working Papers 2006/122, International Monetary Fund.
    55. Jef Vuchelen & Maria-Isabel Gutierrez, 2005. "Do the OECD 24 month horizon growth forecasts for the G7-countries contain information?," Applied Economics, Taylor & Francis Journals, vol. 37(8), pages 855-862.
    56. Tsuchiya, Yoichi, 2016. "Do production managers predict turning points? A directional analysis," Economic Modelling, Elsevier, vol. 58(C), pages 1-8.
    57. Ullrich Heilemann & Herman O. Stekler, 2010. "Has the Accuracy of German Macroeconomic Forecasts Improved?," Working Papers 2010-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Feb 2012.
    58. Masahiro Ashiya, 2006. "Are 16-month-ahead forecasts useful? A directional analysis of Japanese GDP forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(3), pages 201-207.
    59. Behrens, Christoph, 2020. "German trade forecasts since 1970: An evaluation using the panel dimension," Working Papers 26, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    60. Blaskowitz, Oliver J. & Herwartz, Helmut, 2009. "On economic evaluation of directional forecasts," SFB 649 Discussion Papers 2009-052, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    61. Blaskowitz, Oliver & Herwartz, Helmut, 2011. "On economic evaluation of directional forecasts," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1058-1065, October.
    62. Loungani, Prakash & Stekler, Herman & Tamirisa, Natalia, 2013. "Information rigidity in growth forecasts: Some cross-country evidence," International Journal of Forecasting, Elsevier, vol. 29(4), pages 605-621.
    63. Aleksander Grechuta, 2018. "Porównanie trafności jednorocznych prognoz polskiej koniunktury sporządzanych przez krajowe i międzynarodowe instytucje ekonomiczne," Bank i Kredyt, Narodowy Bank Polski, vol. 49(1), pages 63-92.
    64. Giovannelli, Alessandro & Pericoli, Filippo Maria, 2020. "Are GDP forecasts optimal? Evidence on European countries," International Journal of Forecasting, Elsevier, vol. 36(3), pages 963-973.
    65. Dimitrios Papastamos & George Matysiak & Simon Stevenson, 2014. "A Comparative Analysis of the Accuracy and Uncertainty in Real Estate and Macroeconomic Forecasts," Real Estate & Planning Working Papers rep-wp2014-06, Henley Business School, University of Reading.
    66. Helder Ferreira de Mendonça & Pedro Mendes Garcia & José Valentim Machado Vicente, 2021. "Rationality and anchoring of inflation expectations: An assessment from survey‐based and market‐based measures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1027-1053, September.
    67. Heilemann Ullrich, 2004. "Besser geht’s nicht – Genauigkeitsgrenzen von Konjunkturprognosen / As Good as it Gets – Limits of Accuracy of Macroeconomic Short Term Forecasts," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(1-2), pages 51-64, February.
    68. Vuchelen, Jef & Gutierrez, Maria-Isabel, 2005. "A direct test of the information content of the OECD growth forecasts," International Journal of Forecasting, Elsevier, vol. 21(1), pages 103-117.
    69. de Mendonça, Helder Ferreira & de Deus, Joseph David Barroso Vasconcelos, 2019. "Central bank forecasts and private expectations: An empirical assessment from three emerging economies," Economic Modelling, Elsevier, vol. 83(C), pages 234-244.

  4. Öller, Lars-Erik & Barot, Bharat, 1999. "Comparing the Accuracy of European GDP Forecasts," Working Papers 64, National Institute of Economic Research.

    Cited by:

    1. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    2. 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.
    3. Österholm, Pär, 2013. "Forecasting Business Investment in the Short Term Using Survey Data," Working Papers 131, National Institute of Economic Research.
    4. Antipin, Jan-Erik & Boumediene, Farid Jimmy & Österholm, Pär, 2013. "On the Usefulness of Constant Gain Least Squares when Forecasting the Unemployment Rate," Working Papers 129, National Institute of Economic Research.
    5. Vartiainen, Juhana, 2010. "Interpreting Wage Bargaining Norms," Working Papers 116, National Institute of Economic Research.
    6. Meredith Beechey & Pär Österholm, 2014. "Central Bank Forecasts of Policy Interest Rates: An Evaluation of the First Years," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 43(1), pages 63-78, February.
    7. Herman O. Stekler, 2008. "What Do We Know About G-7 Macro Forecasts?," Working Papers 2008-009, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    8. Östblom, Göran & Ljunggren Söderman, Maria & Sjöström, Magnus, 2010. "Analysing future solid waste generation - Soft linking a model of waste management with a CGE-model for Sweden," Working Papers 118, National Institute of Economic Research.
    9. Ullrich Heilemann & Herman Stekler, 2010. "Perspectives on Evaluating Macroeconomic Forecasts," Working Papers 2010-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

  5. Koskinen, Lasse & Öller, Lars-Erik, 1998. "A Hidden Markov Model as a Dynamic Bayesian Classifier, With an Application to Forecasting Business-Cycle Turning Points," Working Papers 59, National Institute of Economic Research.

    Cited by:

    1. Ahmad Jafari-Samimi & Babak Shirazi & Hamed Fazlollahtabar, 2007. "A Comparison Between Time Series, Exponential Smoothing, and Neural Network Methods To Forecast GDPof Iran," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 12(2), pages 19-35, spring.
    2. Lindström, Tomas, 2000. "Qualitative Survey Responses and Production over the Business Cycle," Working Paper Series 116, Sveriges Riksbank (Central Bank of Sweden).
    3. E. Andersson, 2002. "Monitoring cyclical processes. A non-parametric approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(7), pages 973-990.

  6. Oke, Timothy & Öller, Lars-Erik, 1997. "Testing for Short Memory in a VARMA Process," Working Papers 56, National Institute of Economic Research.

    Cited by:

    1. Marcus Mossfeldt & Par Osterholm, 2011. "The persistent labour-market effects of the financial crisis," Applied Economics Letters, Taylor & Francis Journals, vol. 18(7), pages 637-642.
    2. Gustavsson, Patrik & Nordström, Jonas, 1999. "The Impact of Seasonal Unit Roots and Vector ARMA Modeling on Forecasting Monthly Tourism Flows," Working Paper Series 150, Trade Union Institute for Economic Research, revised 01 Jul 2000.
    3. Lindström, Tomas, 2003. "The Role of High-Tech Capital Formation for Swedish Productivity Growth," Working Papers 83, National Institute of Economic Research.
    4. Boman, Mattias & Huhtala, Anni & Nilsson, Charlotte & Alroth, Sofia & Bostedt, Göran & Mattssson, Leif & Gong, Peichen, 2003. "Applying the Contingent Valuation Method in Resource Accounting: A Bold Proposal," Working Papers 85, National Institute of Economic Research.
    5. Vartiainen, Juhana, 2010. "Interpreting Wage Bargaining Norms," Working Papers 116, National Institute of Economic Research.
    6. Östblom, Göran & Ljunggren Söderman, Maria & Sjöström, Magnus, 2010. "Analysing future solid waste generation - Soft linking a model of waste management with a CGE-model for Sweden," Working Papers 118, National Institute of Economic Research.
    7. Gren, Ing-Marie, 2003. "Monetary Green Accounting and Ecosystem Services," Working Papers 86, National Institute of Economic Research.
    8. Forslund, Johanna & Samakovlis, Eva & Vredin Johansson, Maria, 2006. "Matters Risk? The Allocation of Government Subsidies for Remediation of Contaminated Sites under the Local Investment Programme," Working Papers 94, National Institute of Economic Research.

  7. Eriksson, Kimmo & Karlander, Johan & Öller, Lars-Erik, 1996. "Hierarchical Assignments: Stability and Fairness," Working Papers 50, National Institute of Economic Research.

    Cited by:

    1. Marcus Mossfeldt & Par Osterholm, 2011. "The persistent labour-market effects of the financial crisis," Applied Economics Letters, Taylor & Francis Journals, vol. 18(7), pages 637-642.
    2. 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.
    3. Österholm, Pär, 2013. "Forecasting Business Investment in the Short Term Using Survey Data," Working Papers 131, National Institute of Economic Research.
    4. Lindström, Tomas, 2003. "The Role of High-Tech Capital Formation for Swedish Productivity Growth," Working Papers 83, National Institute of Economic Research.
    5. Antipin, Jan-Erik & Boumediene, Farid Jimmy & Österholm, Pär, 2013. "On the Usefulness of Constant Gain Least Squares when Forecasting the Unemployment Rate," Working Papers 129, National Institute of Economic Research.
    6. Boman, Mattias & Huhtala, Anni & Nilsson, Charlotte & Alroth, Sofia & Bostedt, Göran & Mattssson, Leif & Gong, Peichen, 2003. "Applying the Contingent Valuation Method in Resource Accounting: A Bold Proposal," Working Papers 85, National Institute of Economic Research.
    7. Vartiainen, Juhana, 2010. "Interpreting Wage Bargaining Norms," Working Papers 116, National Institute of Economic Research.
    8. Meredith Beechey & Pär Österholm, 2014. "Central Bank Forecasts of Policy Interest Rates: An Evaluation of the First Years," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 43(1), pages 63-78, February.
    9. Östblom, Göran & Ljunggren Söderman, Maria & Sjöström, Magnus, 2010. "Analysing future solid waste generation - Soft linking a model of waste management with a CGE-model for Sweden," Working Papers 118, National Institute of Economic Research.
    10. Lindén, Johan, 2004. "The Labor Market in KIMOD," Working Papers 89, National Institute of Economic Research.
    11. Gren, Ing-Marie, 2003. "Monetary Green Accounting and Ecosystem Services," Working Papers 86, National Institute of Economic Research.
    12. Forslund, Johanna & Samakovlis, Eva & Vredin Johansson, Maria, 2006. "Matters Risk? The Allocation of Government Subsidies for Remediation of Contaminated Sites under the Local Investment Programme," Working Papers 94, National Institute of Economic Research.

Articles

  1. Pär Stockhammar & Lars-Erik Öller, 2011. "On the probability distribution of economic growth," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(9), pages 2023-2041, November.
    See citations under working paper version above.
  2. Lars-Erik Öller & Karl-Gustav Hansson, 2005. "Revision of National Accounts: Swedish Expenditure Accounts and GDP," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(3), pages 363-385.

    Cited by:

    1. Roland Döhrn, 2023. "Are German National Accounts informationally efficient?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 23-42, March.
    2. Golinelli, Roberto & Parigi, Giuseppe, 2008. "Real-time squared: A real-time data set for real-time GDP forecasting," International Journal of Forecasting, Elsevier, vol. 24(3), pages 368-385.
    3. Flodberg, Caroline & Österholm, Pär, 2015. "A Statistical Analysis of Revisions of Swedish National Accounts Data," Working Papers 136, National Institute of Economic Research.

  3. Lars-Erik Öller & Lasse Koskinen, 2004. "A classifying procedure for signalling turning points," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 197-214.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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 3 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-ECM: Econometrics (3) 2001-02-14 2009-11-14 2009-11-14
  2. NEP-FMK: Financial Markets (1) 2009-11-14
  3. NEP-FOR: Forecasting (1) 2009-11-14
  4. NEP-ORE: Operations Research (1) 2009-11-14

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