Transition out of self-employment – evidence from Poland

2016 ◽  
Vol 43 (12) ◽  
pp. 1254-1270 ◽  
Author(s):  
Magdalena Rokicka
Keyword(s):  
Labour Market ◽  
Multinomial Logistic Regression ◽  
Family Characteristics ◽  
Alternative Form ◽  
Men And Women ◽  
Content Type ◽  
Self Employment ◽  
Market Status ◽  
Policy Incentives ◽  
Labour Market Status

Purpose The purpose of this paper is to address the issue of self-employment exit in Poland and its determinants. Design/methodology/approach The author examines the outflow from self-employment into different labour market status: employment, unemployment, inactivity using multinomial logistic regression. The analysis is conducted separately for men and women using Polish Labour Force Surveys (LFS) (2001-2007). Findings Results indicate that personal and family characteristics have different impact on self-employment exit for men and women. However, unfavourable macroeconomic conditions have similar impact regardless gender. The author’s results show that higher local unemployment rate reduces the likelihood of self-employment exit into employment, while conducting business in a sector affected by economic downturn increase outflow from self-employment for both men and women. Research limitations/implications Certain limitations of the study arise from the design of the Polish LFS. It is a rotating panel with relatively few time periods, so it can only allow the author to analyse the outcomes in short-term perspectives. Practical implications Those results provide some background for potential policy interventions. In the context of persistent, high unemployment rates in Poland, there is need for some policy incentives which reinforce self-employment – an important alternative form of the labour market participation. Originality/value Majority of previous studies focusses on self-employment creation, as policy incentives do. However, very little is known about the reasons for leaving self-employment. The author fills this gap analysing the outflow and transition from self-employment to different labour market status.

Social capital, labour market status and wages: some evidence from Spain

2020 ◽  
Vol 47 (4) ◽  
pp. 539-560
Author(s):  
Antonio Caparrós Ruiz
Keyword(s):  
Social Capital ◽  
Labour Market ◽  
Social Participation ◽  
Job Search ◽  
Sample Selection ◽  
Multinomial Logit Model ◽  
Content Type ◽  
The Social ◽  
Market Status ◽  
Labour Market Status

PurposeThis article analyses the social capital's influence on the Spanish labour market. In particular, this study examines to what extent the social capital increases the likelihood of being employed, taking into account different labour market status, and diverse dimensions of the social capital. Focusing on wage earners, it is also analysed whether network structures in Spain influence on the wage earnings.Design/methodology/approachThe methodology applied to analyse the labour market status is a multinomial logit model. For the analysis of wages, it is specified a wage model with sample selection bias. In both cases, social capital indicators are included as regressors.FindingsThe results show that social participation exerts a positive influence on the probability of being self-employed, and lowers the likelihood of being unemployed. Moreover, it is verified that the interaction with family members or close friends influence positively on wages.Research limitations/implicationsFurther research should emphasise how employers assess the workers' competences associated with the social capital.Practical implicationsThe findings provide knowledge to policymakers useful to increase the role of social participation in the labour market.Social implicationsThe importance of social network as an instrument for the job search must be enhanced.Originality/valueThis article overcomes some drawbacks associated with the analysis of social capital from an aggregate perspective. Furthermore, social capital indicators are obtained using the Categorical Principal Components Analysis (CATPCA), which is unprecedented in the economic literature.

scholarly journals Job demands & control among employees in Sweden aged 55-64 and labour market status 11 years later

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
K Farrants ◽  
K Alexanderson
Keyword(s):  
Labour Market ◽  
Old Age ◽  
Multinomial Logistic Regression ◽  
Job Demands ◽  
Job Control ◽  
Paid Work ◽  
Market Status ◽  
High Control ◽  
Labour Market Status

Abstract Background As discussions about extending working lives are ongoing, more knowledge is warranted on how psychosocial working conditions are associated with labour market status in older age. Aim Among employees aged 55-64 years, explore associations between job demands/control with their labour market status 11 years later, using a job exposure matrix (JEM). Methods A population-based prospective cohort study using nationwide register data. All 616,818 individuals in Sweden who in 2001 were in paid work and aged 55-64, were categorized using JEM into 9 groups, based on tertiles. They were followed up in 2012 regarding their labour market status (main income from: paid work, old-age pension, marginalised (no income/social assistance), sickness absence >183 net days, emigrated, dead) using multinomial logistic regression for odds ratios (OR) and 95% confidence intervals (CI), controlling for labour market status and sociodemographics in 2001. Analyses were stratified by sex. Results The majority (women: 84.9%, men: 80.3%) had main income from old-age pension at the 11-year follow-up; 4.7% from paid work (women: 3.9%, men: 5.6%). Those initially in jobs with high demands were less likely to be marginalised at follow-up (OR women high demands/medium control 0.51, CI 0.38-0.68, high demands/high control 0.68, CI 0.50-0.92; OR men high demands/medium control 0.55, CI 0.31-0.96, high demands/high control 0.47, CI 0.30-0.73). Those in occupations with low demands were less likely to be in paid work (OR women low demands/low control 0.56, CI 0.51-0.62, low demands/medium control 0.63, CI 0.58-0.69; OR men low demands/low control 0.56, CI 0.51-0.63, low demands/medium control 0.63, CI 0.58-0.69). Conclusions High job demands with high job control among people aged 55-64 in 2001 were associated with higher rate and OR of having main income from paid work in 2012, and high job demands regardless of level of job control were associated with less marginalisation. Key messages Levels of job demands when aged 55-64 were associated with labour market status 11 years later for women and men, while levels of job control were less so. High job demands were associated with a higher likelihood of being in paid work and lower likelihood of being marginalised at the end of follow-up.

Hope for the best and prepare for the worst. Do short-time work schemes help workers remain in the same firm?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
José M. Arranz ◽  
Carlos García-Serrano ◽  
Virginia Hernanz
Keyword(s):  
Labour Market ◽  
Empirical Literature ◽  
Firm Level ◽  
Content Type ◽  
The Future ◽  
Time Work ◽  
Market Status ◽  
Short Time ◽  
The Impact ◽  
Labour Market Status

PurposeThis paper investigates whether short-time work (STW) schemes were successful in their objective of maintaining employment and keeping workers employed within the same firms after the onset of the financial and economic crisis in 2008.Design/methodology/approachSpanish longitudinal administrative data has been used, making it possible to identify short-time work (STW) participation not only of workers but also of employers and allowing to know the future labour market status of participants and non-participants. Accordingly, treatment and control groups are defined, and Propensity Score Matching models estimated. The dependent variable is measured as the probability that an individual remained employed with the same employer in the future (one, two and three years) after implementation of a STW arrangement.FindingsOur results suggest that treated individuals are about 5 percentage points less likely to remain working with the same employer one year later than similar workers, and this negative effect of participation increases over time. Thus, STW schemes would not have the assumed effect of preventing unemployment by keeping the participants employed relative to non-participants.Research limitations/implicationsAs our analysis is based on the comparison of the employment trajectories of participant and non-participant workers in firms that have used STW arrangements, our findings cannot be interpreted as the job saving effects of either macro or micro studies carried out previously.Practical implicationsThe analysis carried out in the paper is complementary to the country-level and firm-level approaches that have been used in the empirical literature.Originality/valueWe adopt a worker-level approach. This is novel since no previous study has focused attention on the impact of STW participation on the subsequent labour market status of workers.

scholarly journals Labour Market Status at Ages 50–64 and All-Cause Mortality at Ages 65–70

2019 ◽  
Vol 53 ◽  
pp. 51-72
Author(s):  
Julia Klein ◽  
Jan Saarela
Keyword(s):  
Labour Market ◽  
Demographic Variables ◽  
Hazard Models ◽  
Finnish Population ◽  
Men And Women ◽  
Random Samples ◽  
All Cause Mortality ◽  
Market Status ◽  
Highly Correlated ◽  
Labour Market Status

Individuals’ labour market status and health are known to be highly correlated. To investigate this association beyond prime working ages, we study how all-cause mortality at ages 65–70 relates to different labour market positions at ages 50–64. The data stem from random samples of the Finnish population, which make it possible to follow 33,000 individuals in the period 1987–2011. Hazard models are estimated to quantify the associations. For both men and women, disability pensioners have a hazard of dying at age 65+ that is approximately twice that of persons who were employed, and this ratio still exceeds 1.5 when socioeconomic and demographic variables are included. Also male unemployment, but not female, is associated with an elevated mortality risk, but this interrelation depends greatly on socioeconomic position.

scholarly journals Domestic responsibilities as predictors of labour market attachment trajectories in men and women

2017 ◽  
Vol 37 (9/10) ◽  
pp. 536-554 ◽  
Author(s):  
Laura Peutere ◽  
Päivi Rautava ◽  
Pekka Virtanen
Keyword(s):  
Labour Market ◽  
Survey Data ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Register Data ◽  
Men And Women ◽  
Content Type ◽  
Latent Class Growth ◽  
Growth Analyses ◽  
Latent Class Growth Analyses

Purpose The purpose of this paper is to analyse whether high responsibility for housework or childcare is related to weak labour market attachment. Design/methodology/approach Survey data on domestic responsibilities in 1998 and 2003 were linked to register data on respondents’ employment spells for 2004-2011. Effects of the responsibilities on labour market trajectories – identified with latent class growth analyses – were analysed with multinomial logistic regression analyses. Findings Four trajectories for labour market attachment were identified among both genders. When adjusted for prior labour market attachment and other control variables, a high responsibility for housework predicted weak labour market attachment, compared to the trajectory of strong attachment, only among men. Compared to the trajectory of strengthening attachment, a high responsibility for housework was related to weak attachment among both men and women. Research limitations/implications Personal orientations may, to some extent, explain both the division on domestic responsibilities and attachment to the labour market. In the Finnish type of welfare state, domestic responsibilities have long-term effects, especially on men’s careers. More attention should be given to men’s roles in families and their possible consequences. Originality/value This is the first study analysing the division of domestic responsibilities on later labour market attachment among both genders. The strength of this study is the long follow-up time and methodology; it combines survey data at two time points and register data on employment spells over eight years, identifying patterns in employment with latent class growth analyses.

The role of age structure and occupational choices in the Indian labour market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dhananjay Kumar ◽  
Nitin Bisht ◽  
Indrajeet Kumar
Keyword(s):  
Labour Market ◽  
Age Structure ◽  
Multinomial Logistic Regression ◽  
Age Groups ◽  
Economic Factors ◽  
Occupational Choices ◽  
Occupational Classification ◽  
Content Type

PurposeThis study aims to identify the role of age structure in occupational choices and the classification of the occupations based on the age structure of individuals in the Indian labour market.Design/methodology/approachThis study uses the first Periodic Labour Force Survey, 2017–18. The occupational classifications are based on the standardised scores for age groups and their occupations. Further, a multinomial logistic regression model has been used to estimate social and economic factors in determining the age-based occupational classifications.FindingsThe authors found age structure an essential factor in determining occupational choices. Hence, occupations in the Indian labour market have been grouped into seven categories, accordingly. In addition, social and economic factors of individuals and households do have a significant influence on the selection of age-based occupational classifications.Research limitations/implicationsThe study is limited to the occupational classification based on the age structure of individuals without any industry effects. The findings suggest that policymakers must adopt occupation-specific policies considering the age structure of individuals.Originality/valueEarlier studies are limited to the dynamics of age either on the basis of specific age groups (younger or older) or on the industrial classification in a disaggregated way. They also lack a rich approach in analysing the occupational classification considering age structure, especially in the Indian labour market. The study adds value when the role of age structure is identified in occupational choices in the Indian labour market, and hence, a novel classification of occupations into seven categories is proposed.

scholarly journals How does labour market history influence the access to hiring interviews?

2018 ◽  
Vol 39 (4) ◽  
pp. 519-533
Author(s):  
Emmanuel Duguet ◽  
Rémi Le Gall ◽  
Yannick L’Horty ◽  
Pascale Petit
Keyword(s):  
Labour Market ◽  
Least Squares Method ◽  
Time Profile ◽  
Full Time ◽  
Short Term ◽  
Content Type ◽  
Probability Of Success ◽  
Part Time ◽  
Market Status ◽  
Sales Assistants

Purpose The purpose of this paper is to provide evidence of the effect of labour market status on the current probability to be invited to a hiring interview. The authors compare the effect of periods of unemployment, part-time job and short-term contracts (STCs). Design/methodology/approach Correspondence tests were conducted for accountants and sales assistants. The authors estimate the discrimination components from the response rate of each candidate by the asymptotic least squares method. Findings The authors find that men with a part-time profile suffer discrimination in both professions. Other differences of treatment are specific: for accountants, the authors find that the probability of success decreases with the time spent in unemployment, while for sales assistants the probability of success is smaller with a history of STCs. Originality/value This study compares the effect of different dimensions of career history (part-time versus full-time, permanent versus short-term, unemployment versus employment) for experienced job candidates. It also proposes an alternative way to exploit the design of a correspondence experiment.

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