Fundamentally, we built-up or produced other analysis provide from the civil ? season peak
Speaking of (1) the population of women off reproductive decades (provided with the newest Federal Analytical Institute)? (2) the latest label, intercourse, and you can cluster each and every civil gran and his awesome/the lady vote display (on the Electoral Services)? and you can (3) administrative ideas into the another contraception disbursements from societal health solution, and you may placebo fitness outcomes produced in the exact same management fitness details (male morbidity, and you will morbidities from the puerperium months).
We combined these types of research supplies towards the a document number of Chile’s 346 municipalities more 15 years, otherwise 5,190 observations/documents. A small number of observations keeps shed methods in some symptoms. Likewise, the latest measure of denied pills isn’t readily available for 2009. I file conclusion statistics about adopting the area.
Methods
Here we follow the notation of Freyaldenhoven et al. (2018), where ?–1 = 0, so that our reference period is one year prior to adoption in each municipality. We are interested in the nine yearly leads and eight yearly lags of the policy change, where leads capture any prevailing trends prior to the reform in earlier versus later adopting municipalities, and lags show the change in health outcomes following EC pill availability. Given variation in reform timing, initial aisle Desktop leads and lags capture differences in treatment status (treated vs. untreated), while later periods capture pure variation in timing. Year and municipal fixed effects ??? and ??? absorb time and municipal invariant factors, and standard errors are clustered by Chile’s 346 municipalities. As well as capturing any dynamic impacts of the reform (e.g., growing knowledge diffusion), specification (1) provides evidence in favor of parallel (pre)trends if we can reject that each ? Read more