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The individual effects of recent German active labour market programmes Michael Lechner www.sew.unisg.ch/lechner Paris, November 2009

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Page 1: The individual effects of recent German active labour ...€¦ · • Biewen, Fitzenberger, Osikominu and Waller (2006): - 3 types of training conducted 2000-2001 - positive effects

The individual effects of recent German active labour market programmes

Mi c h ae l Lec h n er

www.sew.unisg.ch/lechner

Paris, November 2009

Page 2: The individual effects of recent German active labour ...€¦ · • Biewen, Fitzenberger, Osikominu and Waller (2006): - 3 types of training conducted 2000-2001 - positive effects

Plan of talk

• Overview of some recent work for Germany, Austria, & Switzerland

• More detailed discussion of the most recent paper

© Mi c h ae l Lec h n er , p . 2

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What do we know so far from our own recent work (I)?

• Lechner, Miquel, Wunsch (forthcoming Journal of the European Economic Association)

– First use of large German administrative data– Training programmes only– Programmes in 1993 / 1994– Observe outcomes over 8 years– LMW find

• all programmes have negative effects in the short run (lock-in)• practise firms seem to have no positive non-subsidised employment effects• retraining (up to 3 years) has no positive effects in the East• all other programmes appear to have positive effects on earnings and n.s.

employment in the long run (after 3 to 4 years depending on duration)• no effects on registered unemployment (programmes increase n.s.

employment and reduce part of individuals that are ‘out of the labour force’)

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What do we know so far from our own recent work (II)?

• Lechner, Wunsch (forthcoming in Journal of Labor Economics)

– More extensive use of this new database over time– Training programmes only– West Germany only– Programmes from 1986 – 1995 (monthly inflow)– Only aggregate of programmes could be considered– Observe outcomes over 8 years– LW06 find

• all programmes have negative effects in the short run (lock-in)• no effects on registered unemployment (programmes increase employment

and reduce share of individuals that are ‘out of the labour force’)• effects are positively related to unemployment rate in bad times lock- in

effect is less severe• Policy conclusion: Acyclical programme volumes

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What do we know so far from other work?

• Fitzenberger and Speckesser (2005), Fitzenberger, Osikominu, Völter (2007): - training conducted 1993-1994 (1997)- negative employment effects in short run (lock-in effects)- lasting positive effects in medium to long run for most training programs- subsidized and non-subsidized employment is not distinguished

• Biewen, Fitzenberger, Osikominu and Waller (2006):- 3 types of training conducted 2000-2001- positive effects for women with longer unemployment durations and in some cases also for men

•but: small samples in those subgroups!

• Caliendo, Hujer and Thomsen (2004-2006):- subsidised non-market jobs in February 2000- no effects on unsubsidized employment

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What do we know so far from our own recent work (IV)?

• Lechner and Wiehler (forthcoming in Journal of Population Economics; Oxford Bulleting of Economics & Statistics)

– Austria 2000-2002– Hardly any positive effects for men– Some positive employment effects for women (because non-participants

are more likely to get pregnant, 'kids or courses')– Second paper based on dynamic treatment model

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What do we know so far from our own recent work (V)?

• Behncke, Frölich, Lechner (2005 report to Government, JRSS-A, 2009, Journal of Business, 2008, …)

– Switzerland 2003– No evaluation of ALMPonly, but of all of the councelling process– Merge case workers (questionaires+admin. data) with clients (admin.

data)– Analyse different councelling styles, tools, allocation mechanism of

clients to case workers

Tough case workers are more successful (increase n.s. employment)

Allocation of clients to similar case worker increase reemployment

chances (education, gender, age)

Direct employer contacts are important for reemployment

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What do we know so far from our own recent work (VI)?

• Behncke, Frölich, Lechner (Swiss Journal of Economics & Statistics)

– Lechner and Smith (2007) showed that effect of ALMP can be improved by better allocating the participants to the ‘optimal’ programmes

– Implement an internet based targeting system in 21 employment offices in Switzerland

– SAPS: Produces impact estimates of different programme groups (8) for narrowly defined types of unemployed

– Case workers may use it voluntarily– German TREFFER uses similar ideas, but different econometrics ...– SAPS: True experimental evaluation (social experiment)– SAPS had no effect because case workers did not follow it– Why?

• Overconfidence? • Ignorance? • Sabotage (cantonal autonomy / job of case workers at stake?)?

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Wh a t Di d Al l t h e Mon ey Do? On t h e Gen er a l In ef f ec t i ven ess o f Rec en t West Ger m an Lab ou r Ma r k et Pr ogr am m es

Con n y Wu n sc h an d Mi c h ae l Lec h n e r

www.sew.unisg.ch/lechner

Paris, November 2009

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Our contribution

• first comprehensive joint evaluation of the most important instruments of ALMP

• inter-program comparisons

• relatively recent programs

• account for effect heterogeneity in detailed way

• look at different aspects of the potential effects of the programs

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West German ALMP since 1998

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The programs we evaluate

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The data

Rich admininistrative individual data from various sources

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Sample definition

• entry into unemployment from employment or out of labour force 2000-2002

• age 25-49, no homeworkers/students, no part-time workers < ½ full-time eqiv.

• receipt of unemployment insurance benefits at and directly before program start (simulated start dates for nonparticipants)

• participants: first program in the 18 months following sample inflow if before 2003

• nonparticipants: no program in the 18 months following sample inflow

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Selectivity in program participation (1)

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Selectivity in program participation (2)

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Plausibility of the conditional independence assumption in our data:⇒ eligibility: ensured by sample definition⇒ selection of caseworkers: detailed personal, regional, employer information⇒ selfselection of UE: initial and remaining UE benefits claim, previous earnings⇒ 10 years of monthly pre-program employment history

Potentially important variables that are missing:⇒ caseworker assessment of the UE (about motivation, ability etc.)

⇒ unobservable factors captured to the extend to which they had impacts on pre-program employment history

Identification: Selection on observables

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Estimation: Modified matching estimator as in LMW `06

• for each participant find one or more nonparticipants who are as similar as possible in all characteristics that jointly influence participation and the outcome of interest

• similarity within a prespecified radius

• comparisons are weighted according to their distance in characteristics

• characteristics can be summarized by participation probability to overcome curse of dimensionality (Rosenbaum and Rubin, 1983) and allow for semiparametric estimation of the effect

• common support: effect can only be estimated for the group of people for which there are comparable participants and nonparticipants

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Results: Programs fail to increase employment

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Results: Programs increase unemployment

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Results: Programs induce further program participation

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Results: Adverse effects cost a lot

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Results: Does anyone benefit from the programs?

Some positive employment effects for:

• unemployed without vocational education in short training (ST), often in combination with temporary wage subsidies

• short combined measures (SCM) and short general training (GT6) when used later in unmployment spell

• unemployed with bad employment prospects in job related training (JRT)

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Results: Are there positive net gains for these people?

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Results: Why were previous results more positive?

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Results: Is there scope for improvement?

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Results: Is there scope for improvement?

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Sensitivity checks

• time window to define nonparticipants (12/24/36 months):effects increase somewhat with larger time windowconclusions unchanged

• stricter common support: results unchanged

• performance of matching estimator: see LMW `06

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Conclusions: The 2000-2002 German programmes

• programs fail to increase unsubsidized employment

• programs increase unemployment

• programs induce further programme participation

• programs mainly prevent participants from being passively unemployed by keeping them busy in training programs and subsidized employment

• time horizon for training programmes probably too short

• adverse effects cost a lot: 1500-7000 EUR in additional benefits and wage subsidies per participant2000-20000 EUR in total costs

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Conclusion from this recent paper

• Wunsch, Lechner (West: Kyklos, 2009, East: forthcoming in Economics of Transition)

– New and more informative database– Training and other programmes – Programmes from 2000-2002– Observe outcomes only over 2.5 years– WL find

• all programmes have negative effects in the short run (lock-in)• no effects on registered unemployment (programmes increase employment

and reduce part of individuals that are ‘out of the labour force’)• programmes have either negative or no effects over 2.5 years• time horizon too short for longer programmes but most effects seem to

stabalize at non-positive levels• reallocation of programme participants could improve effects

– Using new data in which outcomes are observed for 4 years seems to suggest positive effects for more substantial training programmes (not in paper)

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Overall assessment

• All programmes have negative effects in the short run (lock-in effects) in

terms of unsubsidized employment

• Almost all types of programme appear to increase (not decrease) registered

unemployment (and benefit receipt)

• It seems that if there are any employment effects, they work via reducing the

number of individuals in 'out-of-the labour force'

• Training programmes sometimes have positive effects in the long run (after

3 to 4 years, or even longer depending on the length of the programme)

• Programmes are more effective in a recession, because the lock-in effect is

less pronounced (more difficult to find a job even for the non-participants)

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Conclusions: Effect heterogeneity for the 2000-2002 German ALMP

• unemployed with reasonable employment prospects get hurt most

• positive employment effects for some groups of participants

• unlikely to be cost-effective even for these groups of people

• however, some scope for improvement in mean employment rates as well as potential for considerable cost saving by reallocating participants and nonparticipants to the programs (2 %-point increase in mean employment rate while saving, on average, 1000 EUR per participant)

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Thank you for your attention!

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