The importance of administrative data in the evaluation of the incidence of social housing allowance programmes
Bibliographic Data
| ID | 21456992 |
|---|---|
| Authors | Josep Maria Raya (0000-0002-2885-234X, Universitat Pompeu Fabra), Jose Torres-Pruñonosa (0000-0003-2276-1655, Universidad Internacional De La Rioja, corresponding author) |
| Year | 2022 |
| Volume | 94 |
| Pages | 102117 |
| Publication date | 2022-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Evaluation and Program Planning (JOURNAL) |
| Journal identifiers | ISSN: 0149-7189 • E-ISSN: 1873-7870 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.evalprogplan.2022.102117 |
| PMID | 35803066 |
| OpenAlex | W4283218650 |
| Language | EN |
| References cited | 33 |
The aim of this work is to assess the rental assistance programme that was implemented by the Catalan regional government in the 2010s using administrative data provided by the Catalonia Housing Agency to analyse whether it achieved its aims to enhance the design of similar programmes. Linear probability models to explain the probability of receiving the grant were estimated and some significant variables were identified: age; rent price; expertise; being a woman; non-EU citizenship and the number of old, young or disabled members. Multiple regressions were estimated in regard to the grant's rate in relation to the rent price and the effort required to pay relative to income after having received the grant. The results suggest that rental assistance facilitates access to housing to groups that face more difficulties and that the revenue captured by landlords, although statistically significant, is small, since they capture approximately 3% by raising prices. This aid, despite being controlled by different variables, benefits elderly people more than young people, which must be addressed because, theoretically, when access requirements are met, no group should benefit more than others
Actuarial science · Agency (philosophy) · Allowance (engineering) · Business · Demographic economics · Economic growth · Economics · Government (linguistics) · Labour economics · Operations management · Political science · Public economics · Renting · Revenue · Social Assistance · Sociology · Work (physics) · Engineering · Finance · Housing Market and Economics · Housing, Finance, and Neoliberalism · Urban, Neighborhood, and Segregation Studies
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Switching Social Contexts
| Citation velocity | historical |
|---|---|
| Highly cited | No |