The effect of learning varies according to locality: Micro data analysis of the lawyer market in Japan
Eiji Yamamura ()
Japan and the World Economy, 2010, vol. 22, issue 3, 193-197
Abstract:
Using individual level data, this paper examines how and to what extent the behavior and perception of those bringing lawsuits differ between large district courts (competitive lawyer market) and medium or small district ones (less competitive lawyer markets). The major findings are: (1) in medium and small, but not large districts, trial experience discourages people from employing a lawyer. (2) A natural person is less likely to employ a lawyer than a legal entity in medium and small districts, but not in large ones. (3) The self-rated cost of searching for a lawyer is lower in large districts than small ones. It follows from these results that the lower competitive pressure in the lawyer markets in medium and small districts results in higher costs to employ a lawyer than is found in large districts.
Keywords: Lawyer; market; Learning (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0922-1425(10)00009-5
Full text for ScienceDirect subscribers only
Related works:
Working Paper: The Effect of Learning Varies According to Locality: Micro Data Analysis of the Lawyer Market in Japan (2010) 
Working Paper: The Effect of Learning Varies According to Locality: Micro Data Analysis of the Lawyer Market in Japan (2009) 
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:eee:japwor:v:22:y:2010:i:3:p:193-197
Access Statistics for this article
Japan and the World Economy is currently edited by Robert Dekle and Yasushi Hamao
More articles in Japan and the World Economy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().