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On Discrete Location Choice Models

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    Abstract

    Within the context of the firm location choice problem, Guimarães et al. (2003) have shown that a Poisson count regression and a conditional logit model yield identical coeffcient estimates. Yet, the corresponding interpretation differs since these discrete choice models reflect polar cases as regards the degree with which the different locations are similar. Schmidheiny and Brülhart (2011) have shown that these cases can be reconciled by adding a fixed outside option to the choice set and transforming the conditional logit into a nested logit framework. This gives rise to a dissimilarity parameter that equals 1 for the Poisson count regression (where locations are completely dissimilar) and 0 for the conditional logit model (where locations are completely similar). Though intermediate values are possible, the nested logit framework does not permit the dissimilarity parameter to be pinned down. We show that, with panel data and adopting a choice consistent normalisation, the fixed outside option can also be introduced into the Poisson count framework, from which the estimation of the dissimilarity parameter is relatively straightforward. The different location choice models are illustrated with an empirical application using cross-border acquisitions data.

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    Paper provided by Swiss National Bank, Study Center Gerzensee in its series Working Papers with number 13.02.

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    Length: 23 pages
    Date of creation: Feb 2013
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    Handle: RePEc:szg:worpap:1302

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    1. Paulo Guimar�es & Octávio Figueirdo & Douglas Woodward, 2003. "A Tractable Approach to the Firm Location Decision Problem," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 201-204, February.
    2. Matthieu Crozet & Thierry Mayer & Jean-Louis Mucchielli, 2004. "How do firms agglomerate? A study of FDI in france," Sciences Po publications info:hdl:2441/c8dmi8nm4pd, Sciences Po.
    3. Koppelman, Frank S. & Wen, Chieh-Hua, 1998. "Alternative nested logit models: structure, properties and estimation," Transportation Research Part B: Methodological, Elsevier, vol. 32(5), pages 289-298, June.
    4. Devereux, Michael P. & Griffith, Rachel, 1998. "Taxes and the location of production: evidence from a panel of US multinationals," Journal of Public Economics, Elsevier, vol. 68(3), pages 335-367, June.
    5. Alexander Hijzen & Holger G�rg & Miriam Manchin, 2006. "Cross-border mergers and acquisitions and the role of trade costs," European Economy - Economic Papers 242, Directorate General Economic and Monetary Affairs (DG ECFIN), European Commission.
    6. Buettner, Thiess & Ruf, Martin, 2005. "Tax incentives and the location of FDI: evidence from a panel of German multinationals," Discussion Paper Series 1: Economic Studies 2005,17, Deutsche Bundesbank, Research Centre.
    7. Sebastian G. Kessing & Kai A. Konrad & Christos Kotsogiannis, 2007. "Foreign direct investment and the dark side of decentralization," Economic Policy, CEPR & CES & MSH, vol. 22, pages 5-70, 01.
    8. Kurt Schmidheiny & Marius Brülhart, 2009. "On the equivalence of location choice models: conditional logit, nested logit and poisson," Working Papers 2009/14, Institut d'Economia de Barcelona (IEB).
    9. Gary L. Hunt, 2000. "Alternative Nested Logit Model Structures and the Special Case of Partial Degeneracy," Journal of Regional Science, Wiley Blackwell, vol. 40(1), pages 89-113.
    10. Kim, Seong-Hee & Pickton, Todd S. & Gerking, Shelby, 2003. "Foreign Direct Investment: Agglomeration Economies and Returns to Promotion Expenditures," The Review of Regional Studies, Southern Regional Science Association, vol. 33(1), pages 61-72.
    11. Devereux, Michael P. & Griffith, Rachel & Simpson, Helen, 2007. "Firm location decisions, regional grants and agglomeration externalities," Journal of Public Economics, Elsevier, vol. 91(3-4), pages 413-435, April.
    12. Nils Herger & Christos Kotsogiannis & Steve McCorriston, 2008. "Cross-border acquisitions in the global food sector," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 35(4), pages 563-587, December.
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