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The purpose of this paper is to investigate the extent to which the distance to retirement affects low employment rates among European older workers, taking into account a key but often neglected determinant: health status.

To begin, the study amends McCall’s job search model, in which the job search behavior is treated as age dependent. Agents are heterogeneous according to two attributes: distance to retirement and health. The authors complete this theoretical analysis with an econometric analysis based on a French survey.

This model leads to clear predictions, such that the closer the retirement, the greater the reservation wage and the lower people’s search effort. Older workers also exhibit lower exit rates from unemployment, an effect that gets enhanced by health problems. The empirical work, based on a French survey, confirms the existence of a distance effect but also puts the greater impact of health status into perspective. The distance effect explains only part of the puzzle of older workers’ employment.

This paper proposes a theoretical and empirical analysis of the retirement decisions. It studies the distance effect but taking into account a neglected factor in the literature: health. Results clearly confirm the distance effect but highlight the reader role of health in retirement decisions.

This paper aims to shed light upon the controversial relationship between labour market flexibility and innovation in Italy, paying attention both to inter‐sectoral heterogeneity and to the regional differences.

A set of hypotheses concerning the context‐dependent relationship between labour market flexibility and innovation has been formulated by combining the main results of the theoretical literature concerning this topic. Regional patents are used as a proxy of innovation, while job turnover and wages represent labour market indicators of flexibility. Non‐parametric models and dynamic structural specification of panel data have been estimated to test the aforementioned hypotheses.

The results show that higher job turnover has a significant and negative impact on patent activities in regional sectors of northern Italy, while a positive and significant effect of blue and white collar wages has been generally found in the estimations.

There is a lack of updated information regarding labour market data in the Italian economy.

Knowing in which sectoral and regional context labour flexibility has (or does not have) a positive influence on innovation plays a key role for the decisions of policy makers.

This paper deals with the influence that the heterogeneity of the contexts (at the sectoral and geographical level) exerts on the relationship between the labour market and innovation. Moreover, the endogenous character of this relationship and the cumulative nature of innovative activities have been taken into account by means of a parsimonious dynamic econometric model.

The purpose of this paper is to focus on the role of unions for job flow rates.

The author uses a longitudinal data set emphasizing the importance of the time dimension.

Using the fixed effects estimator, the author finds that unions decrease the job separation rate and the job finding rate.

The findings support that the implications of the insider-outsider model by Lindbeck and Snower (1986): unions are beneficial for insiders but harm outsiders.

Job and worker flows in the Finnish business sector are studied during a deep recession in the early 1990s. The data set covers effectively the whole work force. The gross job and worker flow rates are fairly high. The evidence suggests that the adjustment of labor input has happened through a reduced hiring rate rather than through an increased separation rate. However, during the recession the group of declining plants included more and larger plants than before, which led to reduced employment. Excess worker turnover (churning) and excess job reallocation have been low during the recession. The evidence of the countercyclicality of job reallocation is mixed. The flows are calculated both for the whole business sector, and for seven main industries. Services have clearly higher flow rates than manufacturing, but the cyclical changes in the flows are fairly similar in all industries. To test the sensitivity of the results to data sources, job flows are calculated from three different statistics.

This paper seeks to study gender wage differentials in Italy using first‐order predictions of monopsony‐search models. It compares empirical predictions of these models against other competing ones of wage determination in non‐competitive settings.

The paper looks at the empirical relevance of the model in terms of third degree wage discrimination among men and women by estimating the labour supply elasticity to the individual firm. It also tests the monopsony model using a “natural” experiment. Italian administrative longitudinal data from INPS are used.

Women have lower elasticity of labour supply to the individual firm: employer size regressions indicate larger effects (and consequently lower elasticity) for women as predicted by the monopsony model. Using the theoretical dynamic monopsony‐search model of Burdett and Mortensen, wage elasticity of separations and recruits confirm this result. Using relative men/women employment effects resulting from institutional changes in wage indexation mechanism (Scala Mobile), it is found that relative male employment responded differently in the two periods to the exogenous relative increase in the wage differential, as predicted by the monopsony model. Search frictions explain about 50 per cent of the gender differential.

No role for discrimination. Better controls for rents and union status would be needed. More rich firm data would be needed.

The paper is one of the few attempts of testing implications of monopsony models in unionised labour markets, such as Italy, after some important reforms in wage bargaining agreements. The change in institutional agreements is an interesting test for different theories of wage determination.

High-growth firms generate a large share of new jobs and are thus the key drivers of innovation and industry dynamics. As the employees' education supports innovation and productivity, this article hypothesizes that employee competences explain high growth.

The study approaches this by examining intangible capital and specialized knowledge to evaluate how these characteristics support the probability of becoming a high-growth firm. The estimation uses linked employer–employee data from Danish registers from 2005 to 2013.

As the authors measure high growth with the size-neutral Birch index, they can examine the determinants of high growth across different firm size classes. The findings imply that intangible capital relates positively to the firm's high growth.

Previous research on high-growth firms is concentrated on the owners’ education. This article broadens to the high education of all employees and accounts for the employees’ occupation and capitalization of knowledge with intangible capital.

This study investigates important factors that should be used by lenders in risk‐rating their farm customers. These factors predict actual farm performance and debt repayment ability. Linear and logistic regression models are used to identify the debt‐to‐asset ratio as a major predictor of repayment ability. In addition, the rate of asset turnover and family living expenses are strong predictors of farm performance. The results are tested over several time periods to verify the robustness of the predictors.

This paper investigates the relationship between (1) business cycle and use of personal contacts to obtain job and (2) use of personal contacts to obtain job and wages.

For this, we use data from the Monthly Employment Survey (2002–2015) from Brazil which has detailed information on individual and job characteristics. In addition, we investigate the impact of referrals on wage using quantile regressions.

Time-varying parameter estimates indicate that the relationship between business cycle and use of personal contacts became less countercyclical over time. In general, they show that there is more evidence of a slow changing relationship between personal contacts and the business cycle over time rather than a sudden and discrete one. Using quantile regressions, we observed that, controlling for similar observable characteristics, and including unobserved heterogeneity, wage differences between workers using personal contacts versus workers using others channels disappear. The evidences indicate that workers resort to personal contacts because of valuation of non-pecuniary job characteristics.

The results suggest that, in designing subsidy or affirmative action programs, attention to network effects is important. Social networks can help labor markets run more smoothly by alleviating information frictions.

This study extends the existing literature by providing empirical evidence of the use of personal contacts for the Brazil. Although there are many studies and methods for measuring use of personal contacts, to our knowledge, there are no studies using a time-varying parameters model.

This study aims to examine the association between productivity growth and job reallocation in terms of job creation and job destruction. It also finds this productivity employment relationship for heterogeneous labor market institutions of the Indian states.

The paper uses longitudinal data of the Annual Survey of Industries of Indian manufacturing from 2009–2010 to 2015–2016 and employs fixed-effect multinomial logistic regression.

The paper finds a mixed result of total factor productivity (TFP) increase on employment. An increase in TFP is positively associated with employment by reducing the probability of destroying jobs, while adversely associated with employment by reducing the probability of creating jobs. The negative association of the increase in TFP on employment is more in the Indian states with strict labor regulations.

The relationship between TFP and employment can be endogenous. TFP is calculated as output changes that are not explained by inputs, capital and labor. So, job creation/destruction may affect TFP by changing the composition of employment and/or returns on labor/capital. In addition, this study is only restricted to Indian organized manufacturing.

The results from this study help deeply understand the Indian labor market. In particular, it provides valuable insights into the “jobless growth” in Indian manufacturing and the recent changes in labor laws.

The findings from this study provide useful information to enhance the robust growth of productive jobs and efficient reallocation of labor.

Unlike most papers, which analyzed the relationship between productivity growth and net employment changes, the present paper finds the relationship between improvement in productivity and job reallocation in terms of simultaneous creation of new jobs and destruction of existing jobs. In addition, the paper links this relationship with the existing heterogeneous labor laws of the Indian states.

Various types of short training programmes exist in Germany. This article aims to evaluate short training courses for welfare recipients and to detect which programme type works best with respect to different outcome indicators.

The author measures the impact of six short training programmes on the participants. She uses propensity score matching and large‐scale administrative data to find suitable comparison groups. She compares treatment to non‐participation as well as participation in different training types directly.

The results demonstrate that in‐firm training has large positive effects on individual employment prospects and stability. Furthermore, classroom skill training is more effective than other classroom types while application training is rather ineffective. Treating some of the application training participants with an alternative sub‐programme would improve the effectiveness.

The results show which training types work best. However, the results do not imply macro or cost‐benefit effects.

Several of the short training courses, mostly occupation‐specific sub‐programmes, are short and relatively inexpensive options to activate welfare recipients.

The paper analyses the effects of six short training programmes for welfare recipients that have not been analysed before. The sensitivity of the results is examined using a wide range of estimators and different outcomes.