The TAKE Project W ork so far and outlook Tim Goedem, PhD - - PowerPoint PPT Presentation

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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


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The TAKE Project

W ork so far and outlook

Tim Goedemé, PhD Coordinator

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Goals

Non-take up (NTU)

  • Social benefits
  • Employment subsidies

Size, determinants and solutions Quantitative, qualitative, experiments

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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”

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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

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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

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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

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Social Benefits

  • Institutional context
  • Policy design + data fluxes: TAKE_ISSOC
  • Knowledge about NTU + monitoring of NTU
  • Later: characteristics of Public Centres for Social

Welfare

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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)
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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
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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)

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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