IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Cross-Border Mergers and Acquisitions of Multinational Firms. New Firm-Level Evidence

FDI is an important channel for productivity spillovers across economies. But productivity and employment effects of cross-border mergers and acquisitions (M&A) on multinational firms are rather unclear and much disputed. We empirically analyze the effects of cross-border M&A on the performance of multinationals in Germany using new data on the firm-level. In order to control for possible selection biases we use a propensity score matching approach. We find that, first, foreign-owned multinationals are smaller but more productive than their domestic counterparts in the mean. But controlling for differences in the industrial composition and firm size, foreign-owned multinationals are larger in terms of capital, sales, and value added. The difference of total factor productivity amounts to 6 %. Second, multinationals show quite heterogeneous performances after cross-border M&A. Third, we do not find an average causal effect of cross-border M&A on the employment of the acquired multinational firm. But most importantly, the causal effect of cross-border M&A on the multinationals’ productivity is positive and significant.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by Institut für Angewandte Wirtschaftsforschung (IAW) in its series IAW Discussion Papers with number 62.

in new window

Length: 26 pages
Date of creation: Jun 2010
Date of revision:
Handle: RePEc:iaw:iawdip:62
Contact details of provider: Postal: Ob dem Himmelreich 1, D-72074 Tübingen
Phone: (+49) 7071 98 96 -0
Fax: (+49) 7071 98 96 -99
Web page:

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Christian Bellak & Michael Pfaffermayr & Michael Wild, 2006. "Firm Performance after Ownership Change: A Matching Estimator Approach," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 52(1), pages 29-54.
  2. Roger Bandick & Patrik Karpaty, . "Foreign Acquisition and Employment Effects in Swedish Manufacturing," Discussion Papers 07/35, University of Nottingham, GEP.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:iaw:iawdip:62. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rolf Kleimann)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.