The TAKE Project W ork so far and outlook Tim Goedem, PhD - - PowerPoint PPT Presentation
The TAKE Project W ork so far and outlook Tim Goedem, PhD - - PowerPoint PPT Presentation
The TAKE Project W ork so far and outlook Tim Goedem, PhD Coordinator Goals Non-take up (NTU) - Social benefits - Employment subsidies Size, determinants and solutions Quantitative, qualitative, experiments 2 w age subsidies Federal
2
Goals
Non-take up (NTU)
- Social benefits
- Employment subsidies
Size, determinants and solutions Quantitative, qualitative, experiments
3
w age subsidies Federal Planning Bureau
1 . Achieved w ork
- Literature review
- Institutional context:
- Inventory of measures
- Interviews with frontline actors (NSSO, employer federation
SNI/ NSZ, social secretariats Securex and Partena Professional, SOGEPA, Le Forem)
- Investigation of existing data:
- NSSO data exploration (calculation of the granted amount,
labour volume,… )
- Choice of 4 measures to be studied in detail: the “structural”
reduction, the reduction for “old workers”, the “Activa” measure for unemployed, the reduction for “First recruitments”
4
w age subsidies
2 . W ork in progress
- Quantitative online survey on employers:
- Partena Professional, Feb. 15th – May 1st:
480 responses (217 complete; 209 incomplete) Analysis in progress
- Firms related to Walloon investment companies
(SOGEPA,SOWALFIN,SRIW)
- Quantitative survey: during May (?)
- Investigation of existing data:
- “Structural reduction”: in progress
- “First recruitments”: in progress
- Preparation of a request to the CBSS for a matching between
NSSO and NEO to study the “Activa” measure
5
w age subsidies
3 . Future w ork
- In-depth analysis of quantitative online surveys on
employers
- In-depth interviews with employers related to SOGEPA (?)
- Analysis of existing data for the 4 chosen measures,
identification of employers’ profiles with low take up rates and factors determining non-take up
- Recommendations to improve the take-up of wage
subsidies by employers
6
Social Benefits
- Theoretical framework
- Van Mechelen and Janssens (2017) “Who is to blame?
An overview of the factors contributing to the non- take-up of social rights”, CSB Working Paper
7
Social Benefits
- Institutional context
- Policy design + data fluxes: TAKE_ISSOC
- Knowledge about NTU + monitoring of NTU
- Later: characteristics of Public Centres for Social
Welfare
8
Social benefits
- Institutional context
- State of affairs automatization of eligibility tests (at
federal level)
- Buysse et al. (forthcoming) “De automatische
toekenning van rechten in de Belgische sociale bescherming.” In Jaarboek armoede in België
- Automatic entitlements (e.g. “buffer database” & tied
benefits)
- Automatic identification of potentially eligible (e.g. IR)
- Automatic actualisation (e.g. child benefits)
- Administrative simplification (e.g. IRISbox)
9
Social Benefits
- Automisation
- Positive impact on uptake & more time for outreaching
and more problematic cases?
- Need for simplification of eligibility criteria?
- Omitting important information (e.g. assets) &
increased targeting errors
- Need for possibility to opt-out?
- Identification of potential beneficiaries: risk of cost for
administrations and claimants
- Requirement of up-to-date information (cf. proactive
flux)
- Mistakes in administrative data & further completion of
databases
- Balancing inclusive and exclusive view on take up
10
Social Benefits
- Size, determinants and solutions 1
- Main focus: Living wage; Income guarantee for the
elderly; Increased reimbursement; Heating allowance
- TAKE survey (mainly determinants and targeting
efficiency + change in targeting efficiency with change in eligibility criteria)
- Large administrative survey (mainly size and
characteristics + consequences of making eligibility parameters more uniform)
11
Social Benefits
- Solutions 2
- Large-scale field experiment(s) regarding increased
reimbursement (IR)
- Christian Mutualities
- Impact proactive flux on uptake of IR
- Letters + flyers
- Telephone calls
- Variance between ‘social workers’
- Association with information costs, stigma, process
costs, scarcity
- Impact uptake IR on use of health care