PSM）、三重差分法（Difference-in-differences-in-differences, DDD）、合成控制法（Synthetic Control M...
PSM）、三重差分法（Difference-in-differences-in-differences, DDD）、合成控制法（Synthetic Control M...
Methods A difference-in-differences (DID) approach was used, involving 1,670 freshmen from a Chinese university, divided into an experimental group (n= 835) and a control group (n= 835). The experimental group received a semester-long cancer prevention education program. Data were collected...
.didregress (satis) (procedure), group(hospital) time(month) vce(hc2) To use the aggregation method proposed by Donald and Lang (2007), we can add theaggregate(dlang)option. .didregress (satis) (procedure), group(hospital) time(month) aggregate(dlang) We can add thevaryingoption if we...
This paper develops a generalization of the widely used difference-in-differences method for evaluating the effects of policy changes. We propose a model that allows the control and treatment groups to have different average benefits from the treatment. The assumptions of the proposed model are invar...
Based on panel data of 273 cities in China from 2010 to 2018, we apply the multiple periods difference-in-differences method in a quasi-natural experiment setting. The results show that carbon ETS can significantly reduce the level of urban-rural income inequality by 8.11% in China. More ...
Typically, the difference-in-differences method is used to figure out how well a policy is being put into place (Liu et al., 2022a, Liu et al., 2022b). The application of the model cannot be separated from the AANR policy pilot implementation. Policy pilots, which are summed up in Ch...
Unlike conventional applications of the difference-in-differences method, this specification is less prone to bias when the association between exposure and outcome changes over time.42 All regression models included county fixed effects, to adjust for potential confounding from time-invariant county-...
For a DID method to be implemented, it is crucial to ensure parallel trends between the treatment and control groups in the pre-treatment period. In other words, in the absence of treatment, the difference between the “treatment” and “control” groups must be constant over time. Any devia...
R-squared: 0.184 Method: Least Squares F-statistic: 2.430 Date: Sun, 05 Mar 2023 Prob (F-statistic): 0.103 Time: 22:27:31 Log-Likelihood: -448.21 No. Observations: 20 AIC: 904.4 Df Residuals: 16 BIC: 908.4 Df Model: 3 Covariance Type: nonrobust === coef std err t P>|t| [0.02...