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Enrico Rettore

Researcher at University of Trento

Publications -  73
Citations -  1867

Enrico Rettore is an academic researcher from University of Trento. The author has contributed to research in topics: Regression discontinuity design & Unemployment. The author has an hindex of 19, co-authored 67 publications receiving 1653 citations. Previous affiliations of Enrico Rettore include Institute for the Study of Labor & University of Padua.

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The retirement consumption puzzle: evidence from a regression discontinuity approach

TL;DR: In this paper, the authors investigated the size of the consumption drop at retirement in Italy, using micro data on food and total non-durable household spending covering the period 1993-2004, and evaluated the change in consumption that accompanies retirement by exploiting the exogenous variability in pension eligibility to correct for the endogenous nature of the retirement decision.
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Cost of peritoneal dialysis and haemodialysis across the world

TL;DR: From the analysis, it is evident that most developed countries can provide PD at a lesser expense to the healthcare system than HD, and in most cases PD can be provided at a similar cost where economies of scale have been achieved, either by local production or by low import duties on PD equipment.
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Are judges biased by labor market conditions

TL;DR: In this article, the same misconduct episode may be considered sufficient for firing in a tight labor market but insufficient otherwise, after taking carefully into consideration the non-random selection of firing litigations for trial.
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College Cost and Time to Complete a Degree: Evidence from Tuition Discontinuities

TL;DR: In this paper, the authors used regression discontinuity design on data from Bocconi University in Italy to show that if tuition, in the last year of the program is raised by 1000 Euros, the probability of late graduation decreases by 6.1 percentage points with respect to a benchmark average probability of 80%.
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Ineligibles and eligible non-participants as a double comparison group in regression-discontinuity designs

TL;DR: In this paper, the authors show that when individuals self-select into participation conditional on some eligibility criteria, a sharp RDD provides a natural framework to define a specification test for the non-experimental estimation of programme effects for participants away from the threshold.