Test of Growth Convergence Hypothesis Based on Panel Data Analysis

• 발행기관: 한국자료분석학회
• 저자명: Jun Gyu Kang Sung Ki Cho Jin Kyo Suh
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.3 No.4, 343~361쪽, 전체 19쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2001.12.30

영문 초록

Recent convergency issues in economics on growth are examined through panel data analysis. Taking the recent works by Mankiw, Romer, and Weil(1992) and Islam(1995) as it starting point this study analyzes how these results change with the adoption of the panel data approach. The regression equation used in the study of convergence is reformulated into a dynamic panel model with individual country effects and is estimated by panel data procedures. It hardly seems to say that there exists a reasonable evidence of a rapid convergence considering the time period required for the convergence.

목차

I. Introduction

II. Growth Regression as a Dynamic Panel Data Model

III. Dynamic Error Components Model

IV. Data, Samples, And Estimation Results

V. Conclusion

References