Matching and semi-parametric IV estimation, a distance-based measure of migration, and the wages of young men

Our paper estimates the effect of US internal migration on wage growth for young men between their first and second job. Our analysis of migration extends previous research by: (i) exploiting the distance-based measures of migration in the National Longitudinal Surveys of Youth 1979 (NLSY79); (ii) allowing the effect of migration to differ by schooling level and (iii) using propensity score matching to estimate the average treatment effect on the treated (ATET) for movers and (iv) using local average treatment effect (LATE) estimators with covariates to estimate the average treatment effect (ATE) and ATET for compliers.We believe the Conditional Independence Assumption (CIA) is reasonable for our matching estimators since the NLSY79 provides a relatively rich array of variables on which to match. Our matching methods are based on local linear, local cubic, and local linear ridge regressions. Local linear and local ridge regression matching produce relatively similar point estimates and standard errors, while local cubic regression matching badly over-fits the data and provides very noisy estimates.We use the bootstrap to calculate standard errors. Since the validity of the bootstrap has not been investigated for the matching estimators we use, and has been shown to be invalid for nearest neighbor matching estimators, we conduct a Monte Carlo study on the appropriateness of using the bootstrap to calculate standard errors for local linear regression matching. The data generating processes in our Monte Carlo study are relatively rich and calibrated to match our empirical models or to test the sensitivity of our results to the choice of parameter values. The estimated standard errors from the bootstrap are very close to those from the Monte Carlo experiments, which lends support to our using the bootstrap to calculate standard errors in our setting.From the matching estimators we find a significant positive effect of migration on the wage growth of college graduates, and a marginally significant negative effect for high school dropouts. We do not find any significant effects for other educational groups or for the overall sample. Our results are generally robust to changes in the model specification and changes in our distance-based measure of migration. We find that better data matters; if we use a measure of migration based on moving across county lines, we overstate the number of moves, while if we use a measure based on moving across state lines, we understate the number of moves. Further, using either the county or state measures leads to much less precise estimates.We also consider semi-parametric LATE estimators with covariates (Frölich 2007), using two sets of instrumental variables. We precisely estimate the proportion of compliers in our data, but because we have a small number of compliers, we cannot obtain precise LATE estimates.     

Varying biases in matching estimates: Evidence from two randomised job search training experiments

We compare various matching estimators with the results from two randomised field experiments that evaluate the employment effects of job search training programmes. We find that commonly used non-experimental matching estimators tend to overestimate the programme effects, especially in the first experiment in which participation in the programme is voluntary. In the second experiment, where caseworkers assign unemployed persons to the training programme, the matching methods produce estimates that are close to the experimental results.     

Sign reversal in LIVE treatment effect estimates: The effect of vocational training on unemployment duration

We use administrative records in Israel to identify the treatment effect of vocational training for the unemployed on the duration of unemployment. We randomize training using data on the availability of courses in and around the time of becoming unemployed. This assumes that the timing of entry into unemployment is random, and course availability around the time of entry is independent of current labor market conditions. According to naïve estimators, which ignore self-selectivity, training reduces unemployment durations. The same applies to linear (IV) estimators, which control for self-selectivity. However, the opposite is found when non-linear IV estimators are used, i.e. training prolongs unemployment durations. Sign reversal depends on how the first stage is specified. A non-nested test indicates that the nonlinear estimate of the treatment effect is preferable to its linear counterpart, in which case training prolongs unemployment spells.     

Estimating within‐cluster spillover effects using a cluster randomization with application to knowledge diffusion in rural India

Spillover effects within randomized clusters pose a challenge for identifying impacts of an individualized treatment. The paper proposes a solution. Longitudinal and intra‐household observations are combined in estimating the direct knowledge gain from watching an info‐movie in rural India, while randomized village assignment identifies knowledge sharing. Simulations on synthetic data and econometric tests provide support for the estimation method. We find evidence of information sharing, but far less so for disadvantaged groups, such as illiterate and lower‐caste individuals; these groups rely more on actually seeing the movie. Our results are consistent with sizeable biases in ordinary least squares, matching or instrumental variable impact estimators that ignore within‐cluster spillovers.     

Does subsidised temporary employment get the unemployed back to work? Aneconometric analysis of two different schemes

Subsidised employment is an important tool of active labour market policies to improve the reemployment chances of the unemployed. Using unusually informative individual data from administrative records, we investigate the effects of two different schemes of subsidised temporary employment implemented in Switzerland: non-profit employment programmes (EP) and a subsidy for temporary jobs (TEMP) in private and public firms. Econometric matching methods show that TEMP is more successful than EP in getting the unemployed back to work. Compared to not participating in any programme, EP and TEMP are ineffective for unemployed who find jobs easily anyway or have a short unemployment spell. For potential and actual long-term unemployed, both programmes may have positive effects, but the effect of TEMP is larger.     

Unemployment Experiences of Young Men: on the Road to Stable Employment?*

This study examines the unemployment experiences of young men in the United Kingdom over the period 1982.IV–1998.I. The empirical results show that repeated unemployment is a dominant feature of the UK labour market and that individual heterogeneity affects mainly the incidence of unemployment and only to a much lesser extent the duration of unemployment. We estimate that about 73% of the young unemployed find stable employment before the age of 35. The remaining 27%, concentrated among the lower‐skilled, keep returning into unemployment, suggesting structural employment instability. These findings imply that a labour market programme targeted at increasing the employability of the young unemployed would yield long‐term benefits by not only getting them out of unemployment but also keeping them out of unemployment.     

HOW EFFECTIVE ARE STATE EMPLOYMENT AGENCIES? JOBCENTRE USE AND JOB MATCHING IN BRITAIN

Abstract State sponsored employment agencies are an important source of job matching in Britain. This study tracks Jobcentre use in Britain over the previous decade and the effectiveness of Jobcentre use in securing entry into employment for those who utilise its services. Amongst the unemployed, use of Jobcentres is highly counter-cyclical. This can be attributed principally to the changing composition of the stock over the economic cycle. In good times, there are relatively more short duration, voluntary quits in the stock, who tend to rely on Jobcentres least. Jobcentres are found to have a significant positive effect on the job entry rates of its clients. The greatest beneficial impact is amongst those, the low skilled and the long term unemployed with the lowest exit rates from unemployment.     

Identification issues in the public/private wage gap,with an application to Italy

This paper reviews some of the standard assumptions that are imposed in order to estimate the average public/private wage gap and that are mainly related to the possible selection of the sector. There are two contributions to the existing public/private wage gap literature. One is a better understanding of the identified parameters: standard estimators identify a local effect (LATE), which in general cannot be generalized to the entire population, as instead is almost always done. The other is the partial identification of the population average treatment effect, with an instrumental variable. To the best of my knowledge, this is the first paper in this literature that employs bounds. The technique is applied to male workers in Italy. For compliers, LATE estimates a wage advantage from working in the public sector greater than 30%. This return is within the narrowest bounds on the population average treatment effect that are consistent even with a much smaller gap (about 15% or more).     

Entrepreneurship: Cause and Consequence of Financial Optimism

Extant evidence that the self‐employed overestimate their returns by a greater margin than employees is consistent with two mutually inclusive possibilities. Self‐employment may foster optimism or intrinsic optimists may be drawn to self‐employment. Previous research is generally unable to disentangle these effects because of reliance on cross‐sectional data. Using longitudinal data, this paper finds that employees who will be self‐employed in the future overestimate their short‐term financial wellbeing by more than those who never become self‐employed. Optimism is higher still when self‐employed. These results suggest that the greater optimism of the self‐employed reflects both psychological disposition and environmental factors. By providing greater scope for optimism, self‐employment entices the intrinsically optimistic.     

Are self-employment training programs effective? Evidence from Project GATE

We examine the efficacy of providing self-employment training to unemployed and other individuals interested in self-employment using data from Project GATE. This experimental design program offered self-employment training services to a random sample of individuals who expressed a strong interest in self-employment. We find that Project GATE was effective in helping unemployed participants to start their own business, leading to significant impacts in self-employment and overall employment soon after program entry. The program also helped unemployed participants remain self-employed and avoid unemployment even five years after program entry. However, the program was not effective in improving the labor market outcomes of participants who were not unemployed.     

Sharp Bounds on Causal Effects under Sample Selection

In many empirical problems, the evaluation of treatment effects is complicated by sample selection so that the outcome is only observed for a non‐random subpopulation. In the absence of instruments and/or tight parametric assumptions, treatment effects are not point identified, but can be bounded under mild restrictions. Previous work on partial identification has primarily focused on the ‘always observed’ (irrespective of the treatment). This article complements those studies by considering further populations, namely the ‘compliers’ (observed only if treated) and the observed population. We derive sharp bounds under various assumptions and provide an empirical application to a school voucher experiment.     

Spatial mobility and competition for jobs: Some theory and evidence for Western Germany

This paper sheds new light on the role of regional labor market conditions for regional mobility. We study competition for vacant jobs along two dimensions – between employed and unemployed job searchers, and between resident and non-resident job searchers – within a simple matching framework. Evidence from estimating regional matching functions with data on job searchers disaggregated by previous employment status and regional provenance indicates that competition for jobs along both dimensions affects hiring. Tests of the theoretical predictions suggest that labor market conditions do determine regional mobility, but the countervailing effects of competition between employed and unemployed dilute mobility effects.     

Evaluation of a Flemish Active Labour Market Policy in the framework of the European Social Fund. Results and challenges

The aim of this paper is to evaluate the “Work Experience for Young Persons” (WIJ) programme, which was implemented in Flanders between 2015 and 2018. The WIJ programme is partially financed through the European Social Fund (ESF) and targets unqualified, young, and unemployed people with the aim of facilitating their entry to the labour market. The programme involves a trajectory of intensive guidance that includes labour market orientation and coaching as first phase, plus competence strengthening activities as second phase. This analysis is based on the Flemish Public Employment Service’s administrative data sources, which allows us to exploit detailed information on previous labour market history. We apply Coarsened Exact Matching to evaluate the WIJ’s impact on young unemployed people specifically in terms of their probability of being employed, unemployed or inactive, and of re-entering into education. Our results suggest that those who have participated in the WIJ programme have lower employment and education probabilities with respect to those who participated in the standard activities proposed by the public employment service. However, we found a positive employment effect if we only consider those who participated in the standard trajectory, i.e. those whose WIJ intervention lasted fewer than 14 months; this means that the negative effects are driven by those young individuals following the extended trajectories.     

Choosing the Best Training Programme: Is there a Case for Statistical Treatment Rules?*

When treatment effects of active labour market programmes (ALMPs) are heterogeneous in an observable way across the population, the allocation of the unemployed into different programmes becomes particularly important. In this article, we present a statistical model that can be used to allocate unemployed into different ALMPs. The model presented is a duration model that uses the timing‐of‐events framework to identify causal effects. We compare different assignment rules, and the results suggest that a significant reduction in the average duration of unemployment may result if a statistical treatment rule is introduced.     

What is the value added by caseworkers?

This paper examines the efficacy of caseworkers in allocating individuals to government programs and to services within those programs. We investigate caseworker allocation of unemployed individuals to subprograms within Swiss active labour market policy in 1998. Our analysis compares the caseworker allocation to alternatives including random assignment to services and allocation via statistical treatment rules based on observable participant characteristics. Using unusually informative administrative data, we find that Swiss caseworkers obtain roughly the same post-program employment rate as random allocation to services, while statistical treatment rules, even when subject to capacity constraints, do substantially better.     

Costs and benefits of Danish active labour market programmes

Since 1994, unemployed workers in the Danish labour market have participated in active labour market programmes on a large scale. This paper contributes with an assessment of costs and benefits of these programmes. Long-term treatment effects are estimated on a very detailed administrative dataset by propensity score matching. For the years 1995 – 2005 it is found that private job training programmes have substantial positive employment and earnings effects, but also public job training ends up with positive earnings effects. Classroom training does not significantly improve employment or earnings prospects in the long run. When the cost side is taken into account, private and public job training still come out with surplusses, while classroom training leads to a deficit.     

The Relationship between Unemployment Benefits and Re‐employment Probabilities: Evidence from Spain*

We provide the first Spanish evidence about the effects on re‐employment probabilities of variations in benefit levels and time‐to‐exhaustion. Increases in unemployment insurance (UI) benefit levels had a small disincentive effect on the re‐employment hazard on average. Around this average, there were larger disincentive effects for men with elapsed durations between 4 and 18 months, whereas for men unemployed longer than 18 months, or for men resident in the south, the effect was negligible. Re‐employment hazards increased when UI exhaustion was imminent, but the change was small. Extensions to unemployment assistance eligibility in 1989 for men aged 45+ years lowered re‐employment probabilities.     

Turning Unemployment into Self‐Employment: Effectiveness of Two Start‐Up Programmes*

Turning unemployment into self‐employment has become a major focus of German active labour market policy (ALMP) in recent years. If effective, this would not only reduce Germany's persistently high unemployment rate, but also increase its notoriously low self‐employment rate. Empirical evidence on the effectiveness of such programmes is scarce. We evaluate the effectiveness of two start‐up programmes for the unemployed, where we include the probability of being employed, the probability of being unemployed and personal income as outcome variables. Our results show that at the end of the observation period, both programmes are effective. The considerable positive effects present a stark contrast to findings from evaluations of other German ALMP programmes in recent years. Hence, ALMP programmes aimed at moving the unemployed into self‐employment may prove to be among the most effective, both in Germany and elsewhere.     

TECHNOLOGICAL INNOVATION AND EMPLOYMENT IN DERIVED LABOUR DEMAND MODELS: A HIERARCHICAL META‐REGRESSION ANALYSIS

The effect of technological innovation on employment is of major concern for workers and their unions, policy makers and academic researchers. We meta‐analyse 570 estimates from 35 primary studies that estimate a derived labour demand model. We contribute to existing attempts at evidence synthesis by addressing the risks of selection bias and that of data dependence in observational studies. Our findings indicate that: (i) hierarchical meta‐regression models are sufficiently versatile for addressing both selection bias and data dependence in observational data; (ii) innovation's effect on employment is positive but small and highly heterogeneous; (iii) only a small part of residual heterogeneity is explained by moderating factors; (iv) selection bias tends to reflect preference for upholding prevalent hypotheses on the employment effects of process and product innovations; (v) country‐specific effect‐size estimates are related to labour market and product market regulation in six OECD countries in a U‐shaped fashion; and (vi) OLS estimates reflect upward bias whereas those based on time‐differenced or within estimators reflect a downward bias. Our findings point out to a range of data quality and modelling issues that should be addressed in future research.     

The Causal Effect of Education on Wages Revisited*

This study estimates the return to education in Britain using two instrumental variable (IV) estimators: one exploits variation in schooling associated with early smoking, the other uses the raising of the school leaving age; both affect a sizeable proportion of the sample. Early smoking is found to be a strong and valid IV and unlike previous IV strategies uses variations in education at numerous points across the distributions of (i) education, and (ii) ability. Thus whilst still a ‘local average treatment effect’ the estimate is closer to the average effect of additional education, akin to least squares but corrected for endogeneity.