Template-Type: ReDIF-Article 1.0
Author-Name:  David A. Freedman
Title:  Limits of Econometrics
Abstract:  In the social and behavioral sciences, far-reaching claims are often made for the superiority of advanced quantitative methods
by those who manage to ignore the far-reaching assumptions behind the models. In section 2, we see there was considerable skepticism about disentangling causal 
processes by statistical modeling. Freedman (2005) examined several well-known modeling exercises, and discovered good reasons for skepticism. Some kinds of 
problems may yield to sophisticated statistical technique; others will not. The goal of empirical research is or should be to increase our understanding of 
the phenomena, rather than displaying our mastery of technique. 
Journal: International Econometric Review
Pages: 5-17
Volume: 1
Issue: 1
Year: 2009
Month: April
File-URL: http://www.era.org.tr/makaleler/99.pdf
File-Format: Application/pdf
Handle: RePEc:erh:journl:v:1:y:2009:i:1:p:5-17