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Measuring the effects of European Regional Policy on economic growth: A regression discontinuity approach

TLDR
In this paper, a non-experimental comparison group method, the regression discontinuity design, and a novel regional dataset for the 1994-2006 period was used to assess regional policy effects through a nonlinear regression model.
Abstract
Given the increasing share of the EU budget devoted to Regional Policy, several studies have tried to identify the impact of structural funds on economic growth. However, so far no consensus has been reached. We assess Regional Policy effects through a non-experimental comparison group method, the regression discontinuity design, and a novel regional dataset for the 1994–2006 period. We exploit the allocation rule of EU transfers by comparing regions with a per capita GDP level just below the eligibility threshold (75% of EU average) with those just above. Our findings show a positive impact of EU Regional Policy on economic growth.

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Journal ArticleDOI

Transforming European regional policy: a results-driven agenda and smart specialization

TL;DR: In this article, the authors examine the nature, rationale, and logic of the reforms to EU Cohesion Policy, focusing on the concept of smart specialization and the use of this concept to help facilitate a results-oriented policy agenda.
Journal ArticleDOI

Effects of EU Regional Policy: 1989-2013

TL;DR: In this article, the authors analyse EU Regional Policy during four programming periods: 1989-1993, 1994-1999, 2000-2006, 2007-2013, focusing on the growth, employment and investment effects of Objective 1 treatment status.
Journal ArticleDOI

Institutional change and the development of lagging regions in Europe

TL;DR: The authors assesses whether both the levels and the degree of change in government quality influence regional economic performance in the European Union and, in particular, in its lagging regions, in the UK.
Journal ArticleDOI

Meta-analysis of the impact of European Union Structural Funds on regional growth

TL;DR: In this paper, a meta-regression analysis of the controversial impact of European Union Structural Funds on the growth of the recipient regions is presented, identifying the factors that explain the heterogeneity in the size of the estimates of their impact recorded in 17 econometric studies.
Journal ArticleDOI

Spatial discontinuity for the impact assessment of the eu regional policy: the case of italian objective 1 regions*

TL;DR: In this paper, the authors exploit administrative boundaries as spatial discontinuity to estimate the causal effect of the Regional Policy of the European Union on the Italian Objective 1 regions' employment and show that the EU Regional Policy produced a positive impact on employment levels, without any displacement of economic activities away from nontreated regions.
References
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Journal ArticleDOI

A Contribution to the Empirics of Economic Growth

TL;DR: The authors examined whether the Solow growth model is consistent with the international variation in the standard of living, and they showed that an augmented Solow model that includes accumulation of human as well as physical capital provides an excellent description of the cross-country data.
ReportDOI

Economic Growth in a Cross Section of Countries

TL;DR: For 98 countries in the period 1960-1985, the growth rate of real per capita GDP is positively related to initial human capital (proxied by 1960 school-enrollment rates) and negatively related to the initial (1960) level as mentioned in this paper.
Journal ArticleDOI

Statistics and Causal Inference

TL;DR: In this article, the authors use a particular model for causal inference (Holland and Rubin 1983; Rubin 1974) to critique the discussions of other writers on causation and causal inference.

Report by the commission on the measurement of economic performance and social progress

TL;DR: As a measure of market capacity and not economic well-being, the authors pointed out that the two can lead to misleading indications about how well-off people are and entail the wrong policy decisions.
Book

Local polynomial modelling and its applications

TL;DR: Applications of Local Polynomial Modeling in Nonlinear Time Series and Automatic Determination of Model Complexity and Framework for Local polynomial regression.
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