Search results

Economic theory predicts that unemployment benefits may increase expected income and reduce its volatility, thereby attracting immigrants to countries which implement such programs. This article aims to explore whether and how changes in countries’ unemployment benefit spending (UBS) affect immigration.

Data are collected for 19 European countries over the period 1993‐2008. The relationship between immigration flows and UBS is first tested using the OLS technique. Instrumental variable (IV) and generalised method of moments (GMM) are then used to address reverse causality.

While the OLS estimates suggest the existence of a moderate within‐country welfare magnet effect for the inflows of non‐EU immigrants, the IV approach reveals that the impact is substantially smaller and statistically insignificant when GMM techniques are implemented.

Since information on the immigrants’ country of origin is not available, it is not possible to exclude that for immigrants coming from certain areas, unemployment benefits constitute a strong incentive to immigrate. This hypothesis awaits further research, once detailed data is available.

This paper complements previous literature on immigration and welfare by exploring the endogenous nature of welfare spending. The empirical results provide insights into the interaction between immigration and welfare policies.

This paper aims to analyze the role of social networks on the job search choices of the unemployed. If social networks convey useful information in the job search process, individuals with larger networks should experience a higher productivity of informal search channels. This in turn affects the choice of formal search intensity and the reservation wage. The paper seeks to test these search‐theoretic implications of productive social networks empirically.

The authors use the IZA Evaluation Dataset containing detailed information on job search behavior of recently unemployed individuals. Observing a rich array of personality traits and direct measures of the social network, the authors choose an identification approach based on observable characteristics using least squares and binary probit regression analysis.

The findings confirm theoretical expectations. Individuals with larger networks use informal search channels more often and shift from formal to informal search. In addition to that, evidence is found for a positive relationship between network size and reservation wages.

The extent to which networks are used during job search most likely also depends on the quality of the network, which cannot be observed in the data. However, as the network significantly changes the observable formal job search effort of individuals, public job search monitoring policies should take these effects into account.

The paper complements the previous body of literature on the role of social networks in the labor market that predominantly focuses on labor market outcomes. By highlighting the interaction between networks and job search choices the paper improves the understanding of realized labor market outcomes in the presence of networks.

Labor market programs may affect unemployed individuals' behavior before they enroll. The aim of this paper is to study whether such ex ante effects differ according to ethnic origin.

The authors apply a method that relates self‐reported perceived treatment rates and job search behavioral outcomes, such as the reservation wage or search intensity, to each other. German native workers are compared with migrants with a Turkish origin or Central and Eastern European (including Russian) background. Job search theory is used to derive theoretical predictions. The ex ante effect of the German active labor market program (ALMP) system is examined using the novel IZA Evaluation Data Set which includes self‐reported assessments of the variables of interest as well as an unusually detailed amount of information on behavior, attitudes and past outcomes.

It is found that the ex ante threat effect on the reservation wage and search effort varies considerably among the groups considered.

The study is the first to investigate whether migrants and natives react similarly to the expectation of participating in an ALMP, and whether migrants of different regions of origin react similarly or not.

The aim of this paper is to study the economic effects of risk attitudes, time preferences, trust and reciprocity and to compare natives and second generation migrants.

This paper is based on the IZA Evaluation Dataset, a recently collected survey of a representative inflow sample into unemployment in Germany. The data include a large number of migrant‐specific variables as well as information about economic preferences and attitudes. This allows an assessment of whether and how unemployed second generation migrants differ from unemployed natives in terms of economic preferences and attitudes.

Differences are found between the two groups mainly in terms of risk attitudes and positive reciprocity. Second generation migrants have a significantly higher willingness to take risks and they are less likely to have a low amount of positive reciprocity when compared to natives. It was also found that these differences matter in terms of economic outcomes, and more specifically in terms of the employment probability about two months after unemployment entry.

The findings offer interesting perspectives, e.g. with regard to the design and targeting of active labor market policy. It may be reasonable to specifically focus on less risk averse individuals with measures such as job search requirements and monitoring.

This paper provides novel and direct evidence on the relationship between economic preferences, attitudes and labor market reintegration of natives and second generation migrants.

The purpose of this paper is to explore the determinants of self‐employment among rural to urban migrants in China.

The analysis is based on a sample of migrant household heads from the 2008 Rural‐Urban Migration in China and Indonesia (RUMiCI) survey. An estimate of the wage differential between self‐employed and employed workers is obtained by means of an endogenous switching model and used to estimate the employment choice. The procedure is extended to account for migration selectivity bias, for alternative statuses before migration, and for different post‐migration employment histories.

Self‐employed migrants are positively selected with respect to their unobserved characteristics; their wages are substantially higher than what they would have obtained had they chosen paid work. Furthermore, even after accounting for the substantial heterogeneity across cities, industries, occupations, and after correcting for the migration selectivity bias, the wage differential is found to be an important determinant of self‐employment.

The finding that market imperfections do not constrain the self‐employment choice of migrants does not imply that reforms designed to eliminate institutional barriers are undesirable. Policy should target the reduction of gaps between urban residents and migrants (such as the household registration system – hukou), so that migrants can access new business opportunities which are currently a prerogative of urban residents.

The paper analyses the determinants of self‐employment using a recent survey based on a sample of rural‐to‐urban migrants in China. The key findings indicate that migrants who choose self‐employment are positively selected in terms of their unobservable characteristics. Moreover, the wage differential has a strong positive effect on the probability of choosing self‐employment. In the transition to a market economy, which is taking place in China, the identification of the determinants of self‐employment is crucial.

This paper seeks to shed further light on the native‐migrant differences in economic outcomes. The aim is to investigate labor market reintegration, patterns of job search, and reservation wages across unemployed migrants and natives in Germany.

The paper is based on the IZA Evaluation Dataset, a recently collected rich survey of a representative sample of entrants into unemployment in Germany. The data include a large number of migration variables, allowing us to adapt a recently developed concept of ethnic identity: the ethnosizer. The authors analyze these data using the OLS technique as well as probabilistic regression models.

The results indicate that separated migrants have a relatively slow reintegration into the labor market. It can be argued that this group exerts a relatively low search effort and that it has reservation wages which are moderate, yet still above the level which would imply similar employment probabilities as other groups of migrants.

The findings indicate that special attention needs to be paid by policy makers to various forms of social and cultural integration, as it has significant repercussions on matching in the labor market.

The paper identifies a previously unmapped relationship between ethnic identity and labor market outcomes.

This paper aims to present the IZA Evaluation Dataset, a newly created data source allowing for the evaluation of active labor market policies in Germany.

The paper's approach is a description of the sampling and contents of the IZA Evaluation Dataset and an outline of its research potential.

The evaluation of active labor market policies is often confronted with a lack of adequate empirical data. The IZA Evaluation Dataset may serve as a role model for the provision of such data.

The scope of active labor market policy instruments that can be analyzed with the IZA Evaluation Dataset is mainly restricted to measures for unemployed individuals.

In recent years, many countries have opened their administrative databases for evaluation studies. However, information that might be relevant for economic modeling is often absent. The IZA Evaluation Dataset aims to overcome such limitations for Germany by complementing administrative data from the Federal Employment Agency with innovative survey data.

The purpose of this paper is to investigate the extent to which the authors can use internet search data in order to capture the impact of the 2008 Financial and Economic Crisis on well-being.

The authors look at the G8 countries with a special focus on USA and Germany and investigate whether internet searches reflect the “malaise” caused by the crisis. The authors focus on searches that contain the word “symptoms” and are thought to proxy self-diagnosis and those that contain “side effects” and are thought to proxy treatment.

The authors find that “malaise” searches spike in a fashion coincident with the crisis and its contagion timeline across the G8 countries. The authors show that results based on search recover previously known stylized facts from the economics of health, well-being and the business cycle.

Internet penetration is high across the G8 countries. The authors nonetheless cannot get a good handle on the part of the population, which is not online. Moreover the authors cannot get a good grip on all confounding factors. More research would be necessary with access to search microdata.

The authors propose global proxies for diagnosis and treatment based on the “search buzz” for symptoms and side effects. The authors can thus capture trends on a global scale. This approach will become increasingly important.