The Gurley-Shaw Hypothesis, Growth Regressions, and Granger-Causality 

作成者 天野, 昌功
作成者の別表記 AMANO, Masanori
日本十進分類法 (NDC) 330
内容 There have been broadly two methods for detecting the determinants of economic growth and per capita income of various countries. Those are regressions and time series analysis. Since the seminal work of Wallich and Barro, papers dealing with growth regression sprang up like mushrooms, probably because income gaps between the wealthy and the poor countries are one of the most urgent problems of the current world economy. After surveying important papers using the two methods, this paper suggests that time series methodology is better suited as far as the purpose is to find the direction of causality between supposed causal economic variables and economic growth or development. In the latter part, I conduct the Granger-causality tests to find out if financial development did cause more brisk economic activity for Japan's development process. The paper finally considers future directions of research if one is to follow time series analysis to clarify causality between the relevant variables.
公開者 千葉大学総合政策学会, 千葉大学経済学会
コンテンツの種類 紀要論文 Departmental Bulletin Paper
DCMI資源タイプ text
ファイル形式 publisher
ISSN 0912-7216
NCID AN10005358
掲載誌情報 千葉大学経済研究 Vol.19 no.3 page.335-357 (20041215)
情報源 Economic journal of Chiba University
言語 英語
著者版フラグ publisher

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