Panel Data Analysis of the US Forest Products Trade

• 발행기관: 한국자료분석학회
• 저자명: Myeongjoo Kang
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.12 No.3, 1213~1224쪽, 전체 12쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2010.06.30

영문 초록

The study utilizes the gravity model to determine factors affecting imports of the US forest products. Until recently, most studies reported in the literature have applied the gravity model to aggregated data. In this paper, however, the conventional gravity model is revised for the single commodity of forest products. The model explores the impacts of GDP, per capita GDP, distance, real exchange rates, and forest land areas on US forest product imports from 26 countries from 1986 to 2000. The regression results show that the modified gravity model can be applicable to the markets for single products. It also reveals that most of the coefficients have the expected signs and are statistically significant. In addition, the paper incorporates with panel data analysis to examine the fixed and random effects over time. It demonstrates that the two-way random effects model is more plausible and provides more robust results than other competing models.

목차

1. Introduction

2. Review of Literatures

3. Model and Data Structures

4. The Empirical Results

5. Conclusions

References

키워드

US forest products gravity model forest land area fixed and random effect