Too much of a good thing? On the growth effects of the EU's regional policy
By Sascha O. Becker, Peter H. Egger, M. V. Ehrlich. 2012
301 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/fa1435e5107106e018d9260ad5f10a9c5c1fa3c6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- A. Rodríguez‐Pose
- U. Fratesi
- Giovanni Perucca
- Julia Bachtrögler
- E. Garcilazo
- Stefan Tubbicke
- d'Artis Kancs
- Boriss Siliverstovs
In Political Science and International Relations
- A. Rodríguez‐Pose
- U. Fratesi
- Giovanni Perucca
- Julia Bachtrögler
- E. Garcilazo
- d'Artis Kancs
- Boriss Siliverstovs
- R. Crescenzi
Citations in the corpus
- Quality of Government and the Returns of Investment: Examining the Impact of Cohesion Expenditure in European Regions (2015, background): “They even highlight that, in some cases, a reduction of transfers would not affect regional economic performance (BECKER et al., 2012).”
- R&D and Non-linear Productivity Growth (2016, methodology): “Before verifying whether the balancing property holds for the GPS adjusted data, we followed Becker et al. (2012) and imposed a common-support condition on the observed ranges of GPS values for observations in each treated group i with those belonging to the control groups j ̸= i. Observations…”
- Entropy Balancing for Continuous Treatments (2020, background): “, 2012) and subsidies of different magnitude to firms or entire regions (Becker et al., 2012; Bia and Mattei, 2012; Mitze et al., 2015). Similar to the binary case, many covariate balancing methods based on the generalized propensity score (GPS, Imbens, 2000) require an iterative estimation procedur”
- Place-Based Policies and Spatial Disparities across European Cities (2020, unknown): “Becker, Egger, Ehrlich (2012) and Cerqua and Pellegrini (2018) estimate the effects of transfer intensity (defined as transfers relative to local GDP).”
- The influence of the local context on the implementation and impact of EU Cohesion Policy (2019, methodology): “…the causal effect (ATT) t of CP assistance on the performance of treated firms is estimated by: t = E[t(p)] = E[E[Y (1)− Y (0)]|T = 1, p] (3) Following Becker et al. (2012) and Bernini and Pellegrini (2011), the standard errors of the ATT are estimated using bootstrapping (1000 replications).”