Causes online second data S1 and you will S2 let you know the fresh coefficients both before and after the new programme

So it basic empirical requirements is then prolonged so you’re able to an event-investigation design, in which we need a full personality of the programme, from the looking at the outcomes of this new MDP for the our aftereffects of appeal, according to the start of new programme ( is the first day of MDP), the following:

in which are a sign bringing worth step 1 in case it is seasons k prior to the initial year of the MDP therefore the local government obtained the fresh programme ( ). We make the normalisation , so the coefficients show differences in outcomes in accordance with the latest first 12 months of your MDP (2013). The new interpretation of ? while the causal impact of one’s MDP is situated on identifying expectation you to definitely, about absence of new plan, managed and unattended municipalities has similar trend throughout the outcomes of passions. Rates dos and you can step three discuss so it assumption from the demonstrating brand new styles on quantity of ACSH (contour 2) and you will costs (profile step 3) through the years. The fresh new graphs recommend that the new trend is full synchronous anywhere between handled and you can unattended municipalities with the exception of profile 2C and you can contour 3B age range. The next take to of the character expectation hinges on analysing the fresh dynamics in the coefficients when you look at the equation dos, depending on time and local government fixed outcomes. Specifically, the brand new handled and you will untreated municipalities should go after synchronous fashion regarding decades before MDP, which suggests one coefficients should not be statistically not the same as zero. Continue Reading