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The New EBDC Dataset: An Innovative Combination of Survey and Financial Statement Data

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  • Anja Hönig

Abstract

No abstract is available for this item.

Suggested Citation

  • Anja Hönig, 2009. "The New EBDC Dataset: An Innovative Combination of Survey and Financial Statement Data," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 10(04), pages 62-63, January.
    • Handle: RePEc:ces:ifofor:v:10:y:2009:i:04:p:62-63
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    File URL: https://www.cesifo.org/DocDL/forum4-09-spotlight2.pdf
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    Citations

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    Cited by:

    1. Marina Riem, 2016. "Corporate investment decisions under political uncertainty," ifo Working Paper Series 221, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. James R. Hines & Niklas Potrafke & Marina Riem & Christoph Schinke, 2019. "Inter vivos transfers of ownership in family firms," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(2), pages 225-256, April.
    3. Christian Seiler, 2010. "Dynamic Modelling of Nonresponse in Business Surveys," ifo Working Paper Series 93, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Gabriel Felbermayr & Inga Heiland & Erdal Yalcin, 2012. "Beschäftigungseffekte der Exportkreditgarantien der Bundesrepublik Deutschland »Hermesdeckungen«," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(01), pages 20-30, January.

    More about this item

    Keywords

    Wirtschaftsstatistik; Deutschland;

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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