The Hazard Rate of Foreign Direct Investment: A Structural Estimation of a Real Option Model

Carlo Altomonte () and Enrico Pennings

No 259, Working Papers from IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University

Abstract: The hazard rate of investment is derived within a real option model, and its properties are analyzed in order to directly study the relation between uncertainty and investment. Maximum likelihood estimates of the hazard are calculated using a sample of MNEs that have invested in Central and Eastern Europe over the period 1990-1998. Employing a standard, non-parametric specification of the hazard, our measure of uncertainty has a negative effect on investment, but the reduced-form model is unable to control for nonlinearities in the relationship. The structural estimation of the option-based hazard is instead able to account for the non-linearities and exhibits a significant value of waiting, though the latter is independent from our measure of uncertainty. This finding supports the existence of alternative channels through which uncertainty can affect investment.

Date: 2004
New Economics Papers: this item is included in nep-fin and nep-ifn
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://repec.unibocconi.it/igier/igi/wp/2004/259.pdf (application/pdf)

Related works:
Journal Article: The Hazard Rate of Foreign Direct Investment: A Structural Estimation of a Real‐option Model* (2006)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igi:igierp:259

Ordering information: This working paper can be ordered from
https://repec.unibocconi.it/igier/igi/

Access Statistics for this paper

More papers in Working Papers from IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University via Rontgen, 1 - 20136 Milano (Italy).
Bibliographic data for series maintained by ().