Use of Regression Discontinuity Design for the Estimation of the Impact of National Policies on the Development of Biomass Energy in China
Regression Discontinuity Design (RDD) has become a popular econometric tool for evaluating impact and effectiveness of legislative measures. The main idea behind RDD is that discontinuities in the dependence of a set of data on a parameter across a cut-off value are basically due to the consequences...
Main Author: | M-S. Dovì |
---|---|
Format: | Article |
Language: | English |
Published: |
AIDIC Servizi S.r.l.
2016-08-01
|
Series: | Chemical Engineering Transactions |
Online Access: | https://www.cetjournal.it/index.php/cet/article/view/3862 |
Similar Items
-
Estimating Incumbency Effects Using Regression Discontinuity Design
by: B. K. Song
Published: (2018-11-01) -
District heating versus self-heating: Estimation of energy efficiency gap using regression discontinuity design
by: Jing Jin, et al.
Published: (2021-09-01) -
Impact of Firearm Surveillance on Gun Control Policy: Regression Discontinuity Analysis
by: Post, Lori, et al.
Published: (2021-04-01) -
Development Status and the Biomass Energy Policies in China
by: Rongrong Zhang, et al.
Published: (2021-11-01) -
The impact of retirement on body mass index in China: An empirical study based on regression discontinuity design
by: Bin Yuan, et al.
Published: (2023-09-01)