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Jasper de Winter

Personal Details

First Name:Jasper
Middle Name:
Last Name:de Winter
Suffix:
RePEc Short-ID:pde812

Affiliation

de Nederlandsche Bank

Amsterdam, Netherlands
http://www.dnb.nl/

:

Postbus 98, 1000 AB Amsterdam
RePEc:edi:dnbgvnl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Jasper de Winter & Siem Jan Koopman & Irma Hindrayanto & Anjali Chouhan, 2017. "Modeling the business and financial cycle in a multivariate structural time series model," DNB Working Papers 573, Netherlands Central Bank, Research Department.
  2. Jante Parlevliet & Maurice Doll & Robert Vermeulen & Jasper de Winter, 2016. "Perspectief op groei: De Nederlandse economie in beweging," DNB Occasional Studies 1404, Netherlands Central Bank, Research Department.
  3. Jos Jansen & Jasper de Winter, 2016. "Improving model-based near-term GDP forecasts by subjective forecasts: A real-time exercise for the G7 countries," DNB Working Papers 507, Netherlands Central Bank, Research Department.
  4. Irma Hindrayanto & Siem Jan Koopman & Jasper de Winter, 2014. "Nowcasting and forecasting economic growth in the euro area using principal components," DNB Working Papers 415, Netherlands Central Bank, Research Department.
  5. Jos Jansen & Xiaowen Jin & Jasper de Winter, 2012. "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," DNB Working Papers 365, Netherlands Central Bank, Research Department.
  6. Jasper de Winter, 2011. "Forecasting GDP growth in times of crisis: private sector forecasts versus statistical models," DNB Working Papers 320, Netherlands Central Bank, Research Department.
  7. Jan Kakes & Jasper de Winter, 2008. "Preferences for redistribution in the Netherlands," DNB Working Papers 179, Netherlands Central Bank, Research Department.

Articles

  1. Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
  2. Jansen, W. Jos & Jin, Xiaowen & de Winter, Jasper M., 2016. "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," International Journal of Forecasting, Elsevier, vol. 32(2), pages 411-436.

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. Jante Parlevliet & Maurice Doll & Robert Vermeulen & Jasper de Winter, 2016. "Perspectief op groei: De Nederlandse economie in beweging," DNB Occasional Studies 1404, Netherlands Central Bank, Research Department.

    Cited by:

    1. Melanie Hekwolter of Hekhuis & Rob Nijskens & Willem Heeringa, 2017. "The housing market in major Dutch cities," DNB Occasional Studies 1501, Netherlands Central Bank, Research Department.

  2. Jos Jansen & Jasper de Winter, 2016. "Improving model-based near-term GDP forecasts by subjective forecasts: A real-time exercise for the G7 countries," DNB Working Papers 507, Netherlands Central Bank, Research Department.

    Cited by:

    1. Łyziak, Tomasz & Paloviita, Maritta, 2017. "Formation of inflation expectations in turbulent times : Can ECB manage inflation expectations of professional forecasters?," Research Discussion Papers 13/2017, Bank of Finland.

  3. Jos Jansen & Xiaowen Jin & Jasper de Winter, 2012. "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," DNB Working Papers 365, Netherlands Central Bank, Research Department.

    Cited by:

    1. Irma Hindrayanto & Siem Jan Koopman & Jasper de Winter, 2014. "Nowcasting and Forecasting Economic Growth in the Euro Area using Principal Components," Tinbergen Institute Discussion Papers 14-113/III, Tinbergen Institute.
    2. Carl Bonham & Peter Fuleky & James Jones & Ashley Hirashima, 2015. "Nowcasting Tourism Industry Performance Using High Frequency Covariates," Working Papers 2015-13R, University of Hawaii Economic Research Organization, University of Hawaii at Manoa, revised Jul 2016.
    3. Jos Jansen & Jasper de Winter, 2016. "Improving model-based near-term GDP forecasts by subjective forecasts: A real-time exercise for the G7 countries," DNB Working Papers 507, Netherlands Central Bank, Research Department.
    4. Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
    5. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
    6. Dušan Marković & Igor Mladenović & Miloš Milovančević, 2017. "Estimation of the most influential science and technology factors for economic growth forecasting by soft computing technique," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1133-1146, May.
    7. Cláudia Duarte, 2014. "Autoregressive augmentation of MIDAS regressions," Working Papers w201401, Banco de Portugal, Economics and Research Department.
    8. Etienne Farvaque & Florence Huart, 2017. "A policymaker’s guide to a Euro area stabilization fund," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 34(1), pages 11-30, April.
    9. Petra Karanikić & Igor Mladenović & Svetlana Sokolov-Mladenović & Meysam Alizamir, 2017. "Prediction of economic growth by extreme learning approach based on science and technology transfer," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1395-1401, May.
    10. Marković, Dušan & Petković, Dalibor & Nikolić, Vlastimir & Milovančević, Miloš & Petković, Biljana, 2017. "Soft computing prediction of economic growth based in science and technology factors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 217-220.
    11. D’Elia Enrico, 2014. "Predictions vs. Preliminary Sample Estimates: The Case of Eurozone Quarterly GDP," Journal of Official Statistics, De Gruyter Open, vol. 30(3), pages 1-22, September.
    12. Hirashima, Ashley & Jones, James & Bonham, Carl S. & Fuleky, Peter, 2017. "Forecasting in a Mixed Up World: Nowcasting Hawaii Tourism," Annals of Tourism Research, Elsevier, vol. 63(C), pages 191-202.
    13. Kieran Mc Morrow & Werner Roeger & Valerie Vandermeulen, 2017. "Evaluating Medium Term Forecasting Methods and their Implications for EU Output Gap Calculations," European Economy - Discussion Papers 2015 - 070, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    14. Đokić, Aleksandar & Jović, Srđan, 2017. "Evaluation of agriculture and industry effect on economic health by ANFIS approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 396-399.
    15. Igor Mladenović & Miloš Milovančević & Svetlana Sokolov-Mladenović, 2017. "Analyzing of innovations influence on economic growth by fuzzy system," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1297-1304, May.
    16. Maksimović, Goran & Jović, Srđan & Jovanović, Radomir, 2017. "Economic growth rate management by soft computing approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 520-524.
    17. Petri Kuosmanen & Juuso Vataja, 2017. "The return of financial variables in forecasting GDP growth in the G-7," Economic Change and Restructuring, Springer, vol. 50(3), pages 259-277, August.

  4. Jasper de Winter, 2011. "Forecasting GDP growth in times of crisis: private sector forecasts versus statistical models," DNB Working Papers 320, Netherlands Central Bank, Research Department.

    Cited by:

    1. Falk Brauning & Siem Jan Koopman, 2012. "Forecasting Macroeconomic Variables using Collapsed Dynamic Factor Analysis," Tinbergen Institute Discussion Papers 12-042/4, Tinbergen Institute.
    2. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
    3. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013. "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, Elsevier.
    4. Francisco Craveiro Dias & Maximiano Pinheiro & António Rua, 2016. "A bottom-up approach for forecasting GDP in a data rich environment," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
    5. Chudik, Alexander & Grossman, Valerie & Pesaran, M. Hashem, 2014. "A multi-country approach to forecasting output growth using PMIs," Globalization and Monetary Policy Institute Working Paper 213, Federal Reserve Bank of Dallas.
    6. Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016. "Nowcasting Turkish GDP and news decomposition," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
    7. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    8. Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Working Paper – WP/16/01- Nowcasting Real GDP growth in South Africa," Papers 7068, South African Reserve Bank.
    9. Francisco Craveiro Dias & Maximiano Pinheiro & António Rua, 2014. "Forecasting Portuguese GDP with factor models," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
    10. Jansen, W. Jos & Jin, Xiaowen & de Winter, Jasper M., 2016. "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," International Journal of Forecasting, Elsevier, vol. 32(2), pages 411-436.
    11. Dias, Francisco & Pinheiro, Maximiano & Rua, António, 2015. "Forecasting Portuguese GDP with factor models: Pre- and post-crisis evidence," Economic Modelling, Elsevier, vol. 44(C), pages 266-272.

  5. Jan Kakes & Jasper de Winter, 2008. "Preferences for redistribution in the Netherlands," DNB Working Papers 179, Netherlands Central Bank, Research Department.

    Cited by:

    1. Federica Teppa & Corrie Vis, 2012. "The CentERpanel and the DNB Household Survey: Methodological Aspects," DNB Occasional Studies 1004, Netherlands Central Bank, Research Department.

Articles

  1. Jansen, W. Jos & Jin, Xiaowen & de Winter, Jasper M., 2016. "Forecasting and nowcasting real GDP: Comparing statistical models and subjective forecasts," International Journal of Forecasting, Elsevier, vol. 32(2), pages 411-436.
    See citations under working paper version above.Sorry, no citations of articles recorded.

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 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) 2011-11-14 2013-01-19 2014-03-01 2014-09-05 2015-04-25 2016-03-23. Author is listed
  2. NEP-EEC: European Economics (5) 2008-10-28 2013-01-19 2014-03-01 2014-09-05 2015-04-25. Author is listed
  3. NEP-MAC: Macroeconomics (5) 2011-11-14 2013-01-19 2015-04-25 2016-03-23 2017-11-05. Author is listed
  4. NEP-ECM: Econometrics (2) 2013-01-19 2014-03-01
  5. NEP-BAN: Banking (1) 2017-11-05
  6. NEP-CBA: Central Banking (1) 2011-11-14
  7. NEP-FDG: Financial Development & Growth (1) 2011-11-14
  8. NEP-LAB: Labour Economics (1) 2008-10-28
  9. NEP-POL: Positive Political Economics (1) 2008-10-28

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