Paul Johnson (),
Steven Durlauf and
No 61, Vassar College Department of Economics Working Paper Series from Vassar College Department of Economics
This paper provides a survey and synthesis of econometric tools that have been employed to study economic growth. While these tools range across a variety of statistical methods, they are united in the common goals of first, identifying interesting contemporaneous patterns in growth data and second, drawing inferences on long-run economic outcomes from cross-section and temporal variation in growth. We describe the main stylized facts that have motivated the development of growth econometrics, the major statistical tools that have been employed to provide structural explanations for these facts, and the primary statistical issues that arise in the study of growth data. An important aspect of the survey is attention to the limits that exist in drawing conclusions from growth data, limits that reflect model uncertainty and the general weakness of available data relative to the sorts of questions for which they are employed.
New Economics Papers: this item is included in nep-dev and nep-ecm
References: Add references at CitEc
Citations View citations in EconPapers (69) Track citations by RSS feed
Downloads: (external link)
Chapter: Growth Econometrics (2005)
Working Paper: Growth econometrics (2004)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:vas:papers:61
Access Statistics for this paper
More papers in Vassar College Department of Economics Working Paper Series from Vassar College Department of Economics Contact information at EDIRC.
Series data maintained by Sean Flynn (). This e-mail address is bad, please contact .