Ett litet ord betyder så mycket : Alliansregeringen, Handlingsplanen och betydelseförskjutningarav begreppet mäns våld mot kvinnor

A little word may mean so much: Changed meanings of the concept men’s violence against women This article concerns the process of policymaking in the Swedish political system with a focus on the concept of men’s violence against women. The material analyzed is based on interviews with key civil servants and the Minister of Equality responsible for the ”Action Plan for Combating Men’s Violence Against Women” launched by the right wing government in 2007. The article shows how a shift in the concept of men’s violence against women is achieved through complex negotiations involving the administration staff as well as the political representatives.The outcome is a change from an understanding of the issue as a structural gender power relation problem, to explaining it as related to individual deviations. This change has been made by re-wording and editing out earlier understandings of men’s violence against women as a structural gender power concern in policies and guidelines, so that the concept is framed as something pertaining to groups of vulnerable women with specific individual obstacles. The political goals are then expressed along the lines of providing support for each group’s designated problems, but the connection to gendered power structures is made invisible.

The Power of the Synthetic Control Method

The synthetic control method (SCM) is a new, popular method developed for the purpose of estimating the effect of an intervention when only one single unit has been exposed. Other similar, unexposed units are combined into a synthetic control unit intended to mimic the evolution in the exposed unit, had it not been subject to exposure. As the inference relies on only a single observational unit, the statistical inferential issue is a challenge. In this paper, we examine the statistical properties of the estimator, study a number of features potentially yielding uncertainty in the estimator, discuss the rationale for statistical inference in relation to SCM, and provide a Web-app for researchers to aid in their decision of whether SCM is powerful for a specific case study. We conclude that SCM is powerful with a limited number of controls in the donor pool and a fairly short pre-intervention time period. This holds as long as the parameter of interest is a parametric specification of the intervention effect, and the duration of post-intervention period is reasonably long, and the fit of the synthetic control unit to the exposed unit in the pre-intervention period is good.