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Law and Financial Development: What We are Learning from Time-Series EvidenceJohn ArmourUniversity of Oxford - Faculty of Law; University of Oxford - Said Business School; European Corporate Governance Institute (ECGI) Simon DeakinUniversity of Cambridge - Centre for Business Research (CBR); European Corporate Governance Institute (ECGI); University of Cambridge - Faculty of Law Viviana MollicaQueen Mary, University of London Mathias M. SiemsDurham University - Durham Law School; University of Cambridge - Centre for Business Research March 2010 ECGI - Law Working Paper No. 148/2010 Abstract: The legal origins hypothesis is one of the most important and influential ideas to emerge in the social sciences in the past decade. However, the empirical base of the legal origins claim has always been contestable, as it largely consists of cross-sectional datasets which provide evidence on the state of the law only at limited points in time. There is now a growing body of data derived from techniques for coding cross-national legal variation over time. This time-series evidence is reviewed here and is shown to cast new light on some of the central claims of legal origins theory. Legal origins are shown to be of little help in explaining trends in the law relating to shareholder protection, although the classification of legal systems into English-, French- and German-origin ‘families’ has greater explanatory force in the context of creditor rights. The widely-held view that increases in shareholder rights foster financial development is not supported by time-series analyses. More generally, the new evidence casts doubt on the suggestion that legal origins operate as an ‘exogenous’ force, independently shaping both the content of laws and economic outcomes. It is more plausible to see legal systems as evolving in parallel with changes in economic conditions and political structures at national level.
Number of Pages in PDF File: 53 Keywords: legal origins, law and finance, comparative law, shareholder protection, creditor protection, time series analysis JEL Classification: G33, G34, G38, K22 Accepted Paper SeriesDate posted: April 10, 2010Suggested CitationContact Information
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