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Distribution of the estimated propensity score for the: (i.) treated and non treated and (ii.) treated and counterfactuals

Distribution of the estimated propensity score for the: (i.) treated and non treated and (ii.) treated and counterfactuals

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IFIs provide funding for SMEs, but what impact does this actually have on these firms? This working paper assesses the impact of funding by the EIB on the performance of more than 5,000 SMEs in eight countries in Central and Eastern Europe during 2008-2014. Using propensity score matching and difference-in-difference estimation exercises, it indica...

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... two treated firms share the same nearest neighbour, we keep that nearest neighbour for the firm with the closer propensity score and find the next nearest neighbour excluding the firm already used. Figure 5 provides an illustration of the success of the matching process. The left panel plots the distribution of the estimated propensity score of the treated and the non-treated. ...

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Citations

... Southern periphery Core period after the financial crisis. 27 As Figure 5 shows, commercial banks' lending to the corporate sector is the highest in the Southern Periphery, followed by the core region. Shallow bank penetration into the economy in the Eastern periphery, to some extent, reflects the dependent market feature of these economies: most credit is contracted by large multinationals in their home countries. ...
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This chapter focuses on the case of the European Investment Bank (EIB), a key EU market-correcting institution that is expected to further balance the development of the Union and, at least by its own statute, decrease developmental disparities among the economies of the member states. We ask the following question: To what extent do the activities of the EIB, since 2004, alter the market distribution of developmental opportunities between the more developed core countries and the member states in the Eastern and Southern peripheries of Europe. Our findings point to an uneven distribution of resources: Core countries receive the most resources in nominal terms; the two Southern member states, Italy and Spain, receive as much as the core countries; and the Eastern periphery receives less than they would need to bridge the developmental gap between their economic output and that of the core and Southern periphery. We also observe that the EIB contributes significantly more to industrial upgrading in the core countries than in the member states from the two EU peripheries. Finally, we also find that the EIB, instead of furthering projects that could be simultaneously beneficial for member states in the core and the periphery, finances projects that have primary beneficiaries either only in a core country or in a member state belonging to the periphery. Only a minuscule part of the EIB funds is invested in advancing Core–Periphery joint project developments.