상세검색
최근 검색어 전체 삭제
다국어입력
즐겨찾기0
JOURNAL OF ECONOMIC THEORY AND ECONOMETRICS Vol.33 No.3.jpg
SCOPUS 학술저널

Disentangling Trend and Seasonality in Panel Data: An Empirical Analysis of Food Product Sales

Disentangling Trend and Seasonality in Panel Data: An Empirical Analysis of Food Product Sales

This paper provides a novel approach to extract the trend and seasonal components from panel data consisting of individual entries showing both strong trend and seasonality. For such a data set, the usual principal component analysis generally fails to disentangle them. In the paper, we suggest a methodology to separately identify them using the Hodrick-Prescott filter that is commonly and widely used to remove trends in various economic data. We apply our methodology to a food product sales panel data and show that it effectively disentangles the trend and seasonal components in the data set.

1. INTRODUCTION

2. METHODOLOGY

3. EMPIRICAL ILLUSTRATION

4. CONCLUSION

REFERENCES

로딩중