Arbeitspapier
Dynamic structure - Dynamic results? Re-estimating profit shifting with historical ownership data
Ownership structures of multinational enterprises are commonly assumed to remain constant over time, both due to a lack of easily accessible panel data and to facilitate empirical analyses. This paper discusses the validity of this assumption and assesses its relevance in the context of profit shifting. A new method of reconstructing historical ownership information in Bureau van Dijk's ORBIS database reveals a highly dynamic environment. The validity of the assumption collapses with increasing panel length; ownership structures are rarely constant over time. Moreover, about 9 percent of firms with observed ownership data change owners in each year. The relevance of the assumption is tested by re-estimating indirect measures of profit shifting for selected benchmark samples. Assuming ownership structures as constant has a strong impact on sample composition, adding almost 29 percent of additional observations compared to historical ownership data. In the context of profit shifting, estimates based on constant ownership data are found to be larger in absolute magnitude compared to estimates based on historical ownership data.
- ISBN
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978-3-86788-940-7
- Sprache
-
Englisch
- Erschienen in
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Series: Ruhr Economic Papers ; No. 811
- Klassifikation
-
Wirtschaft
Multinational Firms; International Business
Business Taxes and Subsidies including sales and value-added (VAT)
Tax Evasion and Avoidance
- Thema
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ORBIS
historical ownership data
MNE
profit shifting
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Grosskurth, Philipp
- Ereignis
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Veröffentlichung
- (wer)
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RWI - Leibniz-Institut für Wirtschaftsforschung
- (wo)
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Essen
- (wann)
-
2019
- DOI
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doi:10.4419/86788940
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Grosskurth, Philipp
- RWI - Leibniz-Institut für Wirtschaftsforschung
Entstanden
- 2019