摘要
通过理论和实证研究,比较几类政策评估计量经济模型的回归效果。采用匹配法、倍差法和匹配倍差法3种模型对退耕还林政策对农户收入影响进行案例研究。结果表明,匹配倍差模型显著修正了估计偏差,提高了评估精确性。该模型对国内其他经济政策效果评估方法的改进亦有借鉴意义。
This paper is a theoretical and empirical study to compare different policy evaluation models. Using sloping land conversion program (SLCP) in China as an example, the authors apply a matching regression model, a DID model and a matching DID model to estimate policy impact on households' incomes. The authors also explain the bias reduction from the approach of combining DID and matching strategies and proves the matching DID model a more efficient regression method. The matching DID is also useful to be adopted to evaluate policies in other fields.
出处
《北京大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2011年第4期759-767,共9页
Acta Scientiarum Naturalium Universitatis Pekinensis
基金
上海同济高廷耀环保科技发展基金青年博士杰出人才奖学金
中国国际环境与发展合作委员会(CCICED)环境和自然资源定价与税收特别工作组“退耕还林政策的社会经济影响评估”课题资助
关键词
匹配回归
倍差回归
匹配倍差回归
退耕还林政策
matching regression
difference in difference model
matching DID model
slopping land conversionprogram (SLCP)