Contents

Prospect of Long-Run Growth in Korea : Learning from Cross-Country Data

Cho, Dong Chul

DC Field Value Language
dc.contributor.authorCho, Dong Chul-
dc.date.available2018-12-06T05:14:36Z-
dc.date.issued1996-02-
dc.identifier.urihttps://archives.kdischool.ac.kr/handle/11125/29433-
dc.description.abstractPredicting long-run growth pats using the Solow-like growth formulas involves and inevitable problem : how to predict dynamic paths of the respective explanatory variables. This paper approacher this issue in the following four steps: 1) Estimate the relevant coefficients (elasticities) of explanatory variables from cross-country regressions; 2) Using cross-country data, estimate the general pattern of each explanatory variables as a (nonparametric) function of income per capita; 3) Estimate Korea's country-specific effects in the explanatory variables; 4) Using the above estimates, simulate the Korea's and explanatory variables' paths simultaneously.-
dc.description.tableOfContentsⅠ. Introduction Ⅱ. Cross-Country Analysis Ⅲ. Overview of Korean Economy Ⅳ. Recursive Prediction of Korean Economy Ⅴ. Conclusion and Limitations-
dc.format.extent28-
dc.languageENG-
dc.publisherKorea Development Institute-
dc.relation.isPartOfSeriesKDI Working Paper No.9602-
dc.titleProspect of Long-Run Growth in Korea : Learning from Cross-Country Data-
dc.typeWorking Paper-
dc.contributor.affiliatedAuthorCho, Dong Chul-
dc.identifier.urlhttp://kdi.re.kr/research/subjects_view.jsp?pub_no=938-
dc.type.docTypeWorking Paper-
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