scholarly journals When two (or more) do not equal one: an analysis of the changing nature of multiple and single jobholding in Europe

2021 ◽  
pp. 102425892110026
Author(s):  
Wieteke Conen ◽  
Paul de Beer
Keyword(s):  
Labour Market ◽  
Labour Force ◽  
Working Hours ◽  
Labour Force Survey ◽  
Empirical Knowledge ◽  
Economic Vulnerability ◽  
Advanced Economies ◽  
Analyse Data ◽  
Over Time ◽  
The Eu

The scope and structure of multiple jobholding and its consequences for multiple jobholders are changing in many Western economies. Only limited quantitative empirical knowledge is currently available on the changing features of multiple jobholding and whether the economic vulnerability of multiple jobholders has been changing over time. In this article we focus on the position and trends of multiple jobholders compared with single jobholders in Europe. We study this in terms of working hours, workers’ desire to work more hours, and in-work poverty. To that end, we analyse data since the early 2000s from the EU Labour Force Survey and from the EU Statistics on Income and Living Conditions. Our findings show that multiple jobholding is a significant and increasing labour market phenomenon in many advanced economies, with changing characteristics, for example in terms of gender distribution and combinations of contracts. In-work poverty is relatively high among non-standard workers, but the findings do not indicate a deteriorating trend effect. In-work poverty seems to be on the rise among people who are single, for both single jobholders and multiple jobholders.

scholarly journals Women’s Economic Inactivity and Age. Analysis of the Situation in Poland and the EU

2018 ◽  
Vol 5 (338) ◽  
pp. 57-80 ◽  
Author(s):  
Aleksandra Matuszewska-Janica
Keyword(s):  
Labour Market ◽  
Labour Force ◽  
Age Groups ◽  
Age Group ◽  
The European Union ◽  
Geographical Differences ◽  
Reasons For Staying ◽  
Over Time ◽  
The Eu

The group of economically inactive women is heavily diversified. The reasons for staying outside the labour market are the important factors that differentiate this group. They depend on the age or level of education among others. In addition, there is great geographical heterogeneity of the reasons for economic inactivity. Hence, two questions arise. Firstly, how significant is the geograph­ical diversity of the reasons for staying outside the labour market in the European Union? Secondly, have these geographical differences been changing over time? The main aim of the analysis is the classification of the EU countries taking into consideration reasons for women’s economic inactivity in different age groups. The analysis is carried out applying descriptive statistics and the k‑means method. The data are taken from the publicly available Eurostat’s Labour Force Survey datasets. The study of general tendencies in women’s economic inactivity covers the years 2000–2016. In turn, cluster analysis was carried out for data from 2006, 2010 and 2014. The obtained results confirmed significant diversity of the EU states. In addition, this geographical diversity has been changing over time. We receive the greatest similarity of classification obtained for different periods for the 50–64 age group and the smallest for the 25–49 age group. Moreover, there are noticeable tendencies of a significant decrease in the share of the economically inactive in the group of the oldest individuals (aged 50–64) in the sample. On the other hand, in the youngest group (individuals aged under 25), there are opposite tendencies observed – the share of those who remain outside the labour market increases.

25 years of the Labour Force Survey in Poland — milestones and development prospects

2017 ◽  
Vol 62 (12) ◽  
pp. 23-49 ◽  
Author(s):  
Agnieszka Zgierska
Keyword(s):  
Labour Market ◽  
Labour Force ◽  
National Level ◽  
Labour Force Survey ◽  
The European Union ◽  
Information Gap ◽  
Key Indicators ◽  
New Phenomena ◽  
Development Prospects ◽  
The Eu

The Labour Force Survey (LFS) is one of the basic survey conducted by the CSO. It enables current evaluation of the use of labour resources and at the same time it allows for a wider characterisation of population groups due to their status on the labour market. In 2017, a quarter of a century has passed from the time of the first edition of the LFS, which, since the very beginning, has been implemented in accordance with international recommendations and modified regarding the needs of data users. The beginnings of LFS in Poland are closely related to the period of systemic transformation and the demand for research allowing to fill the information gap concerning the possibilities of characterisation of new phenomena on the labour market. Following the accession of Poland to the European Union (EU), data from the survey became the basis for compilation of key indicators used as the essential ones in various strategies, both at the EU and national level. The aim of the article, apart from the jubilee theme, is to recall the milestones and the most important changes in the LFS methodology, which is extremely important for data users. Moreover, work conducted in this field within the EU is described in the final part of the article.

scholarly journals Time Series Analysis of Disparity between Maori and non-Maori Labour Market Outcomes in the Household Labour Force Survey

1970 ◽  
Author(s):  
Simon Chapple ◽  
David Rea
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Labour Market ◽  
Labour Force ◽  
Labour Force Survey ◽  
Market Outcomes ◽  
Ethnic Classification ◽  
Labour Market Outcomes ◽  
Household Labour ◽  
Over Time

Disparity in labour market outcomes between Maori and non-Maori is examined using Household Labour Force Survey (HLFS) data. The paper explores the nature of the ethnicity question and ethnic classification in the HLFS. It shows that there are substantial differences in labour market outcomes between those Maori who report only Maori ethnicity and those who report Maori and another ethnicity ("mixed" Maori). The paper then considers various methods of measuring disparity and uses these to examine the time series behaviour of disparity between 1985 and 1998. It concludes that disparity between Maori and non-Maori is greater today than in 1985. However, all this deterioration occurred between 1985 and 1992. Since 1992 disparity has been in decline. The bulk of time series variation in disparity between Maori and non-Maori has been driven by changes in outcomes for the sole Maori group. Mixed Maori, about a quarter share of the Maori ethnic group, has outcomes which closely track those of the non-Maori population over time.

scholarly journals National report 2009-2019 - Rural NEET in Romania

2020 ◽  
Keyword(s):  
Labour Market ◽  
Lifelong Learning ◽  
System Development ◽  
Labour Force ◽  
Economic Policies ◽  
Labour Force Survey ◽  
Market Demand ◽  
Young Population ◽  
Way Of Life ◽  
The Eu

This report describes a particular situation of young population in Romania: the population of NEETs, with a focus on rural NEETs.Based on a complex methodology which uses data from different national sources (INS) and international sources (Eurostat, EU Labour Force Survey-EU-LFS, OECD),this report gives an overview of the evolution and particularities of NEETs in Romania during the previous deca-de, namely 2009-2019.Within the last ten years, the population of NEETs in Romania has grown rapidly, placing Ro-mania in first place in the EU-28 in terms of the share of this population among the young population. Thus, in 2009 Romania with a NEET rate of 13.9%, occupied first places in the EU, along with Bulgaria (19.5%), Italy (17.5%), Latvia (17.5%) (Eurostat, 2020). A decade later, in Bulgaria and Latvia, the NEET rate decreased significantly to 13.7% and 7.9%, respectively, but in Romania and Italy it increased by more than 1pp: 14.7% in Romania and 18.1% in Italy. (Eurostat, 2020). The causes for this are both individual (way of life, socio-familial origin, expectations and aspirations) and socio-economic (accessibility of the education system, development of lifelong learning, correspondence between education and labour market demand, particu-larities of the Romanian labour market, socio-economic policies supported by central and local authorities, etc.)

scholarly journals Self-employment as a stepping stone to better labor market matching: a comparison between immigrants and natives

2020 ◽  
Vol 86 (4) ◽  
pp. 479-501
Author(s):  
Magdalena Ulceluse
Keyword(s):  
Labor Market ◽  
Comparative Analysis ◽  
Labour Force ◽  
Demographic Characteristics ◽  
Labour Force Survey ◽  
Self Employment ◽  
Barriers To Employment ◽  
Labor Market Matching ◽  
Shed Light ◽  
The Eu

AbstractThe paper investigates the relation between overeducation and self-employment, in a comparative analysis between immigrants and natives. Using the EU Labour Force Survey for the year 2012 and controlling for a list of demographic characteristics and general characteristics of 30 destination countries, it finds that the likelihood of being overeducated decreases for self-employed immigrants, with inconclusive results for self-employed natives. The results shed light on the extent to which immigrants adjust to labor market imperfections and barriers to employment and might help explain the higher incidence of self-employment that immigrants exhibit, when compared to natives. This is the first study to systematically study the nexus between overeducation and self-employment in a comparative framework. Moreover, the paper tests the robustness of the results by employing two different measures of overeducation, contributing to the literature of the measurement of overeducation.

scholarly journals Have British Jews fully assimilated in the UK Labour Market?

2015 ◽  
Vol 4 (2) ◽  
pp. 121
Author(s):  
Nabil Khattab
Keyword(s):  
Labour Market ◽  
Financial Services ◽  
Service Sector ◽  
Labour Force ◽  
Occupational Attainment ◽  
Main Stream ◽  
Labour Force Survey ◽  
Self Employment ◽  
Majority Group ◽  
The Uk

<p class="pagecontents"><span lang="EN-GB">This paper analyses the patterns of occupational attainment and earnings among the Jewish community in Britain using UK Labour Force Survey data (2002-2010). The findings suggest that although British-Jews cannot be distinguished from the majority main stream population of British-White in terms of their overall occupational attainment and earnings, it seems that they have managed to integrate through patterns of self-employment and concentration in the service sector economy, particularly in banking and financial services. It is argued that this self-employment profile is a Jewish strategy used to minimise dependency on majority group employers and by doing so to helping to escape any religious penalties.</span></p>

scholarly journals Self-Employment and Labour Market Transitions in New Zealand

2013 ◽  
Author(s):  
Jinyi Shao ◽  
Mallika Kelkar
Keyword(s):  
Time Series ◽  
New Zealand ◽  
Labour Market ◽  
Labour Force ◽  
Labour Force Survey ◽  
The Past ◽  
Self Employment ◽  
Labour Market Transitions ◽  
Household Labour ◽  
Market Transitions

Self-employment in New Zealand has been trending up in the past two years, following subdued growth between 2000 and 2010. Self-employed people made up 11.3% of total employed in the year to March 2012 (251,800 workers), compared with 10.1% in the year to March 2010. Self-employment is defined in this paper as those people operating their own business without employees. The paper explores time series trends in self-employment, in particular across three post-recession periods. Characteristics of self-employed workers are also identified. This paper also investigates movements in and out of self-employment in order to understand the recent growth in this type of employment. The analysis uses longitudinal Household Labour Force Survey (HLFS) data. The HLFS provides official measures of a range of labour market indicators, including the number of people employed, unemployed and not in the labour force.

Research Note Problems in Monitoring the Safety Performance of British Manufacturing at the End of the Twentieth Century

1994 ◽  
Vol 42 (1) ◽  
pp. 104-110 ◽  
Author(s):  
Theo Nichols
Keyword(s):  
Labour Force ◽  
Industrial Relations ◽  
Health And Safety ◽  
Injury Rate ◽  
Safety Performance ◽  
Fatality Rate ◽  
Labour Force Survey ◽  
Short Account ◽  
Related Research ◽  
Over Time

I have frequently expressed the view that the statistics for over three day injuries cannot be relied upon for the sort of temporal research on safety in which I have recently been engaged, for instance concerning the effectiveness of the 1974 Health and Safety at Work Act (Nichols, 1989a; 1990). It has been suggested in the context of some related research (Nichols, 1989b; 1991a) that the over three day injury rate may actually be a useful indicator of safety in some respects and that the fatality rate may not be (Tombs, 1992).1 By contrast, the following short account looks to the future and considers whether, in the 1990s, a point has been reached when any official injury statistics for employees in UK manufacturing can provide satisfactory monitoring of improvements or otherwise in safety over time. First, the fatality rate is briefly discussed, then the rate for major injuries, then the rate for over three day injuries. Two other new sources of injury data are also briefly considered, the 1990 Labour Force Survey (LFS) and the 1990 Work Industrial Relations Survey (WIRS3).

Work calculator: a useful tool for modelling relations on the labour market

2018 ◽  
Vol 63 (7) ◽  
pp. 14-24 ◽  
Author(s):  
Maria Bieć ◽  
Ewa Gałecka-Burdziak ◽  
Robert Pater
Keyword(s):  
Labour Market ◽  
Unemployment Rate ◽  
Labour Force ◽  
Economic Situation ◽  
Labour Force Survey ◽  
Seasonal Fluctuations ◽  
Job Offers ◽  
American Model ◽  
The Creation

The aim of the article is to present the concept of a job calculator — a tool used to create a simulation of relations between changes in the economic situation and the labour market in Poland. The job calculator is based on the American Jobs Calculator and is available for everyone. The user determines the height of expected unemployment rate and the tool computes the number of required job offers, the creation and coverage of which will result in the change of the unemployment rate to the predefined level. The calculator uses data from the Labour Force Survey (LFS) and presents simulations for one quarter. The values refer to the total result, taking into account the seasonal fluctuations and division into long-term and cyclical changes, which is the authors’ contribution to the original American model as well as an extension of this concept.

Jobs calculator – a tool for short-term forecasting of changes in the labour market

2020 ◽  
Vol 65 (3) ◽  
pp. 31-45
Author(s):  
Maria Bieć ◽  
Ewa Gałecka-Burdziak ◽  
Paweł Kaczorowski ◽  
Robert Pater
Keyword(s):  
Labour Market ◽  
Unemployment Rate ◽  
Labour Force ◽  
Participation Rate ◽  
Professional Activity ◽  
Labour Force Survey ◽  
Labour Market Participation ◽  
Employment Rates ◽  
Short Term Forecasting ◽  
The Relationship

The aim of the article is to present a modified and extended version of a jobs calculator – a tool used to perform simulations of the relationship between the unemployment and employment rates while adopting different assumptions regarding the potential trends in Poles’ professional activity and in shaping the size of Poland’s population. The user of the calculator sets the value of the target unemployment rate, and the tool calculates the number of jobs whose creation and filling would be necessary to obtain the desired level of the unemployment rate. The current version of the jobs calculator application has been enhanced compared to the original one in such a way that it allows modifying parameters characterizing the labour market (the labour market participation rate and the rate of the population growth) and creating forecasts within a defined time span. The calculator utilises data from the Labour Force Survey. The paper presents labour market forecasts until 2022 as well as the results of a simulation performed on the data from Labour Force Survey for the 3rd quarter of 2018.

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