Estimation of Sales Elasticity of R&D by Average median Derivative
- 주제(KDC) 320.000
- 발행기관 서강대학교 경제학연구원
- 발행년도 2002
- 총서유형 Journal
- 본문언어 영어
초록/요약
This paper examines the R&D expenditure-sales profiles at firm level and derives estimates of the sales elasticity using Korean manufacturing firms' data. Usually the data sets on R&D expenditure typically include a few observations with very large expenditures and have a huge mass at zero amount, distribution-oriented estimation methods such as nonparametric quantile regression, are more suitable to analyze the R&D data. Since the shape of the R&D expenditure-sales profile is unknown, we use nonparametric quantile regression estimation method. This method also allows the construction of robust measures for sales elasticity by average median derivative estimation.
more목차
Ⅰ. Introduction
Ⅱ. Nonparametric Estimation of R&D-Sales Profile
1. Density Function Estimation
2. Nonparametric Quantile Estimation of R&D-Sales Profiles
Ⅲ. Estimation of Elasticity by Average Median Derivative
Ⅳ. Summary and Conclusion
