Results of difference-in-differences analysis (N = 126, significance of the models: 0000).
. | . | Parameter of the treatment effect . | Robust standard error . | Z . | Significance (p) . | 95% confidence intervals . | |
---|---|---|---|---|---|---|---|
Year of the ‘reform’ | 2014–2015 | 0.0598 | 0.0406 | 1.4728 | 0.1408 | −0.0198 | 0.1394 |
One year after the ‘reform’ | 2014–2016 | 0.1311 | 0.0448 | 2.9235 | 0.0035 | 0.0432 | 0.2189 |
Two years after the ‘reform’ | 2014–2017 | 0.1109 | 0.0582 | 1.9063 | 0.0566 | −0.0031 | 0.2250 |
. | . | Parameter of the treatment effect . | Robust standard error . | Z . | Significance (p) . | 95% confidence intervals . | |
---|---|---|---|---|---|---|---|
Year of the ‘reform’ | 2014–2015 | 0.0598 | 0.0406 | 1.4728 | 0.1408 | −0.0198 | 0.1394 |
One year after the ‘reform’ | 2014–2016 | 0.1311 | 0.0448 | 2.9235 | 0.0035 | 0.0432 | 0.2189 |
Two years after the ‘reform’ | 2014–2017 | 0.1109 | 0.0582 | 1.9063 | 0.0566 | −0.0031 | 0.2250 |
Note: All estimations include year and municipality fixed effects. Standard errors are clustered at the level of the municipality and they are robust to heteroscedasticity.