Public Training and Outflows from Unemployment: An Augmented Matching Function Approach on Polish Regional Data

Working Paper: CEPR ID: DP2244

Authors: Patrick A. Puhani

Abstract: We analyse Polish active labour market policy (ALMP) training programmes from a macroeconomic (regional) point of view. The effects of training programmes on the outflows from unemployment and the effects of all ALMP programmes on the outflows from employment (to identify displacement effects) are estimated. The variety of specifications presented is revealing. In contrast to other studies on Poland, we show that it can make a difference to the estimates whether current ALMP expenditure is excluded from the set of regressors to reduce the endogeneity problem, whether lagged dependent variables are included to take account of the dynamics, and whether fixed or random effects models are estimated.The empirical evidence gives some tentative support to the view that public training programmes can be used to reduce unemployment.

Keywords: training; evaluation; augmented matching function

JEL Codes: E24; J64


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
public training programmes (M53)reduce unemployment (J68)
training expenditures (M53)outflows from unemployment (J65)
ALMPs (J68)no negative impact on overall employment levels (F66)
training has positive effects (M53)sensitive to dataset used (C55)
register data (Y10)significant training effects (M53)
Polish Labour Force Survey data (J39)no effects of training (M53)
training works better for more able unemployed (J24)sensitivity of estimates to data source (C80)

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