IDEAS home Printed from https://ideas.repec.org/a/ces/ifosdt/v69y2016i21p36-41.html
   My bibliography  Save this article

Eine Flash-Schätzung für die privaten Konsumausgaben in Deutschland

Author

Listed:
  • Robert Lehmann
  • Wolfgang Nierhaus
  • Magnus Reif

Abstract

Dem privaten Konsum als gewichtigste Verwendungskomponente kommt im Rahmen einer jeden Konjunkturprognose eine große Bedeutung zu. Der Artikel untersucht die Prognosegüte einer Vielzahl von Indikatoren, die in der kurzen Frist für die Prognose des privaten Konsums herangezogen werden können. Es zeigt sich, dass besonders Umfrageergebnisse und Indikatoren aus der amtlichen Preisstatistik die höchste Treffsicherheit für das laufende und folgende Quartal aufweisen. Ebenfalls sehr gute Prognosen liefert der vom ifo Institut entwickelte Kombinationsansatz. Auf Basis dieses Kombinationsansatzes dürfte die Zuwachsrate des realen privaten Konsums im dritten und vierten Vierteljahr 2016 bei jeweils 0,4% liegen.

Suggested Citation

  • Robert Lehmann & Wolfgang Nierhaus & Magnus Reif, 2016. "Eine Flash-Schätzung für die privaten Konsumausgaben in Deutschland," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(21), pages 36-41, November.
    • Handle: RePEc:ces:ifosdt:v:69:y:2016:i:21:p:36-41
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/sd-2016-21-lehmann-etal-konsumflash-2016-11-10.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kai Carstensen & Steffen Henzel & Johannes Mayr & Klaus Wohlrabe, 2009. "IFOCAST: Methoden der ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 62(23), pages 15-28, December.
    2. Projektgruppe Gemeinschaftsdiagnose, 2016. "Deutsche Wirtschaft gut ausgelastet – Wirtschaftspolitik neu ausrichten: Gemeinschaftsdiagnose Herbst 2016," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 83(40), pages 895-971.
    3. Franziska Fobbe & Robert Lehmann, 2016. "Elektromotoren, Energieversorgung und Erziehung: Die Güte der entstehungsseitigen ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(12), pages 58-63, June.
    4. Michael Artis & Massimiliano Marcellino & Tommaso Proietti, 2004. "Dating Business Cycles: A Methodological Contribution with an Application to the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(4), pages 537-565, September.
    5. Steffen Henzel & Johannes Mayr, 2009. "The Virtues of VAR Forecast Pooling – A DSGE Model Based Monte Carlo Study," ifo Working Paper Series 65, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1.
    7. Projektgruppe Gemeinschaftsdiagnose, 2016. "Deutsche Wirtschaft gut ausgelastet – Wirtschaftspolitik neu ausrichten," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(19), pages 03-60, October.
    8. Projektgruppe Gemeinschaftsdiagnose, 2016. "Gemeinschaftsdiagnose im Herbst 2016: Deutsche Wirtschaft gut ausgelastet – Wirtschaftspolitik neu ausrichten," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 23(06), pages 26-29, December.
    9. Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters, in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Timo Wollmershäuser & Wolfgang Nierhaus & Nikolay Hristov & Dorine Boumans & Johanna Garnitz & Marcell Göttert & Christian Grimme & Stefan Lauterbacher & Robert Lehmann & Wolfgang Meister & Magnus Rei, 2016. "ifo Konjunkturprognose 2016–2018: Robuste deutsche Konjunktur vor einem Jahr ungewisser internationaler Wirtschaftspolitik," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(24), pages 28-73, December.
    2. Robert Lehmann, 2023. "The Forecasting Power of the ifo Business Survey," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(1), pages 43-94, March.
    3. Wolfgang Nierhaus, 2017. "Wirtschaftskonjunktur 2016: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(02), pages 72-78, January.
    4. Wolfgang Nierhaus, 2019. "Wirtschaftskonjunktur 2018: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(03), pages 22-29, February.
    5. Wolfgang Nierhaus, 2018. "Wirtschaftskonjunktur 2017: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(03), pages 35-42, February.
    6. Timo Wollmershäuser & Marcell Göttert & Christian Grimme & Carla Krolage & Stefan Lautenbacher & Robert Lehmann & Sebastian Link & Wolfgang Nierhaus & Ann-Christin Rathje & Magnus Reif & Radek Šauer &, 2018. "ifo Konjunkturprognose Winter 2018: Deutsche Konjunktur kühlt sich ab," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(24), pages 28-82, December.
    7. Wolfgang Nierhaus, 2020. "Wirtschaftskonjunktur 2019: Prognose und Wirklichkeit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(01), pages 51-57, January.
    8. Timo Wollmershäuser & Silvia Delrio & Clemens Fuest & Marcell Göttert & Christian Grimme & Carla Krolage & Stefan Lautenbacher & Robert Lehmann & Wolfgang Nierhaus & Andreas Peichl & Magnus Reif & Rad, 2017. "ifo Konjunkturprognose 2017–2019: Deutsche Wirtschaft auf dem Weg in die Hochkonjunktur," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(24), pages 28-81, December.
    9. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Klaus Wohlrabe, 2011. "Konstruktion von Indikatoren zur Analyse der wirtschaftlichen Aktivität in den Dienstleistungsbereichen," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 55, September.
    2. Marcell Göttert, 2017. "Steuermehreinnahmen und Steuerquote wachsen weiter – Zu den Ergebnissen der Steuerschätzung vom Mai 2017," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(11), pages 55-58, June.
    3. FlorianDorn & ClemensFuest & BjörnKauder & LuisaLorenz & MartinMosler & NiklasPotrafke & LuisaDörr, 2018. "How Bracket Creep Creates Hidden Tax Increases: Evidence from Germany," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 15(04), pages 34-39, January.
    4. Siliverstovs Boriss, 2013. "Dating Business Cycles in Historical Perspective: Evidence for Switzerland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(5-6), pages 661-679, October.
    5. Soh, Ann-Ni, 2020. "A Review on the Leading Indicator Approach towards Economic Forecasting," MPRA Paper 103854, University Library of Munich, Germany.
    6. Olivier Darné & Laurent Ferrara, 2011. "Identification of Slowdowns and Accelerations for the Euro Area Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(3), pages 335-364, June.
    7. Clemens Fuest & Björn Kauder & Luisa Lorenz & Martin Mosler & Niklas Potrafke & Florian Dorn, 2016. "Hidden tax increases - the extra tax burden of the bracket creep and the expected impact of income tax rates "on wheels" on tax reliefs," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 76, September.
    8. Drygalla, Andrej & Holtemöller, Oliver & Lindner, Axel, 2017. "Internationale Konjunkturprognose und konjunkturelle Szenarien für die Jahre 2016 bis 2021," IWH Online 3/2017, Halle Institute for Economic Research (IWH).
    9. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72, September.
    10. Louise Holm, 2016. "The Swedish business cycle, 1969-2013," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(2), pages 1-22.
    11. Agnieszka Gehringer & Thomas Mayer, 2021. "Measuring the Business Cycle Chronology with a Novel Business Cycle Indicator for Germany," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 71-89, April.
    12. Yongsung Chang & Sunoong Hwang, 2015. "Asymmetric Phase Shifts in U.S. Industrial Production Cycles," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 116-133, March.
    13. Sabine Rumscheidt, 2016. "Online-Handel – Chance für den stationären Einzelhandel?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 69(22), pages 51-56, November.
    14. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.
    15. Christian Aßmann & Jens Hogrefe & Roman Liesenfeld, 2009. "The decline in German output volatility: a Bayesian analysis," Empirical Economics, Springer, vol. 37(3), pages 653-679, December.
    16. Yasutomo Murasawa, 2014. "Measuring the natural rates, gaps, and deviation cycles," Empirical Economics, Springer, vol. 47(2), pages 495-522, September.
    17. Florian Dorn & Clemens Fuest & Fabian Häring & Björn Kauder & Luisa Lorenz & Martin Mosler & Luisa Dörr, 2017. "Die Beseitigung des Mittelstandsbauchs – Reformoptionen zur Einkommensteuer und ihre fiskalischen Kosten," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(09), pages 31-38, May.
    18. repec:ces:ifodic:v:15:y:2018:i:4:p:50000000000859 is not listed on IDEAS
    19. Ritabrata Bose & Ashima Goyal, 2020. "Disaggregated Indian industrial cycles: A Spectral analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-033, Indira Gandhi Institute of Development Research, Mumbai, India.
    20. Yasutomo Murasawa, 2016. "The Beveridge–Nelson decomposition of mixed-frequency series," Empirical Economics, Springer, vol. 51(4), pages 1415-1441, December.
    21. Boysen-Hogrefe, Jens, 2018. "Trotz voller Kassen: Nicht jedes Wahlversprechen im nächsten Koalitionsvertrag umsetzen!," Kiel Policy Brief 112, Kiel Institute for the World Economy (IfW Kiel).

    More about this item

    Keywords

    Privater Konsum; Wirtschaftsprognose; Deutschland;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ifosdt:v:69:y:2016:i:21:p:36-41. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/ifooode.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.