Please enable JavaScript.

Coggle requires JavaScript to display documents.

Economic Impact Tools, answers (Not working, Unable to work, Working,…

- - - - an strong assumption: the effect is homogeneous through all the treateds.
        
        The NHS Prince's Trust program
        The end of the program consist in retaining those who success at the 8 weeks internship stage. The evaluation can be performed around those hired, which could potentially be the "always compliers".
        
        There is a setup of questions from a survey
    - - There must be an instrument to model the willing of following an apprenticeship path.
        
        At the same time, the choice of following an apprenticeship reveals an socio-economic decision, in terms of what is feasible to achieve for certain young people.
        
        A valid instrument: The socio economic environment
      - Matching skills
- - - - Get Started
      - Get into
      - Mentoring
- - - - The estimated treatment effect of this experiment will be extremely local (LATE). There wont be any ATE.
        
        There must also be a bandwith that helps to choose the proper sample size.
        
        Its always necessary to check perfect compliance.
      - The ESF Regional Approaches to NEETs:
        The bandwidth is the RAG (Red-Amber-Green) status scheme. Every program has its own outcomes and approaches, but at the end they use the treshold, so impacts at a very local level can be assesed.
      - The Working Wales - WW Program
        
        The approach consists in having some scores that determine the decision or getting the treatments. These scores are built over the information of the individuals skills and environments, i.e. her "needs".
        
        This scores can be used as a treshold.
    - - Strong assumptions: Common trends prior to the treatment
        
        Stable Unit Treatment Value Assumption - SUTVA:
        The treated and non treated can not possible have interacted previously.
        
        The treated can't affect the non treated
        
        Two dimensiones needed, clasically its the variable time, but indeed could be any other.
      - Matching
        
        Its best if people have no control over wether they recived the intervention.
        
        The key is the extent of how comparable a matched sample really is.
        
        Therefore, the PSM relies on assuming that there are not unobserved characteristics between the control and treated group, like behavioural intrinsic features
        
        The group to be matched must share observable characteristics but not too many, otherwise the matching will become less likely.
        
        The Aston Business Growth Program
        
        There is potential for developing a Triple DiD, through matching SME with untreated ones and taking the first difference considering a lagged period.
        
        Building for the future
        
        The approach can use information of Postcodes of LSOA level in order to compare geoagraphical locations using PSM and Deprivation Index for assesing the outcome of local employment increases.
        
        The same approach could be used to measure the growth in premises used by SME or firms.
        
        For Wales:
        
        7 more items...
        
        Instrumental Variables
        
        Tipycally, the treatment can be highly endogenous, so it is required to use an extra variable to approach the treatment.
        
        The most important contemporary use of IV is to solve the problem of omitted
        variables bias.
        
        Synthetic Controls
      - Get out Get active
        
        the programme has an active mechanism to attract potential individuals that feel the need to improve their health and want to get involved into more activities. So far it could use an IV approach, but there is still some unobservable characteristics that prevent some people to enroll. Nevertheless, since it is aiming to attract disabled or elder people, the controls are already highly similar, so it would be enough to perform a DiD estimation.
        
        This mecanisms to approach people could also be used as a "treat" to apply as an instrument. But they remain unclear.
    - - Where there is no actual way of biasing the treatment and the cutoff is totally independent, we say its a sharp design
        
        When there is room for the participant to influence the chance of being treated, and this needs to be modelized, then we have a fuzzy design.