Income Risk in 30 Countries

Nichols, Austin; Rehm, Philipp

doi:10.1111/roiw.12111

Cited by 20 publications

(15 citation statements)

References 46 publications

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“…So far, EI studies are few and far between, with most either based on multidimensional approaches that use aggregate indices for the different insecurity dimensions Sharpe 2005, 2014;Berloffa and Modena 2014), or essentially unidimensional in nature when considering individuals or households (Nichols and Rehm 2014;D'Ambrosio and Rohde 2014;Rohde et al 2014). Prior studies concur that the employment status and characteristics of individuals are underlying fundamental dimensions of EI.…”

Section: Introductionmentioning

confidence: 99%

Detecting economic insecurity in Italy: a latent transition modelling approach

2022

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Economic insecurity has increased in importance in the understanding of economic and socio-demographic household behaviour. The present paper aims to analyse patterns of household economic insecurity over the years 2004–2015 by using the longitudinal section of the Italian SILC (Statistics on Income and Living Conditions) survey. In the identification of economic insecurity statuses, we used indicators of economic hardship in a latent transition approach in order to: (i) classify Italian households into homogenous classes characterised by different levels of economic insecurity, (ii) assess whether changes in latent class membership occurred in the selected time span, and (iii) evaluate the effect of employment status and characteristics of individuals on latent status membership. Empirical findings uncovered five latent statuses of economic insecurity from the best situation to the worst. The levels of economic insecurity remained quite stable over the period considered, but a non-negligible worsening can be detected for the unemployed and individuals with part-time jobs.

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Section: Introductionmentioning

confidence: 99%

Detecting economic insecurity in Italy: a latent transition modelling approach

2022

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“…They would be appropriate, for example, in the study of educational intergenerational social mobility (Symeonaki et al, 2016;Symeonaki & Filopoulou, 2017)), where the states correspond to low, medium, and high educational attainment. It is also true that these indices are all highly correlated in empirical applications (Nichols, 2008;Nichols & Rehm, 2014).…”

Section: P (5)mentioning

confidence: 99%

On the Measurement of Positive Labor Market Mobility

Symeonaki

Stamatopoulou

2020

Sage Open

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The present article proposes a new labor market index, called the positive labor market mobility index, which focuses on quantifying the amount of “desired” labor market mobility present in the transitions of young individuals, providing a useful way of comparing countries on that matter. Well-established indices in the literature aiming at measuring mobility take into account all movements among states and/or the diagonal elements of the transition probability matrix that denote immobility. On the contrary, the index proposed in this study uses only “favorable” or “desired” movements among labor market states, providing a more relevant to labor mobility assessment index, where the interest lies in quantifying positive transitions, from education or training to employment, for example. The positive mobility index is estimated for individuals in Europe, whose age was 15 to 29 during the years of the financial crisis, from 2008 to 2015. Annually raw micro-data from the European Union Labour Force Survey (EU-LFS) for these 8 years are used for this purpose. Moreover, the values of the proposed labor market mobility index are correlated with an early job insecurity indicator, estimated for the same age group. The results reveal the significant differences among European countries, when “desired” transitions of young individuals are taken into account. Moreover, the analysis performed indicates that the proposed index could be a good predictor for the degree of early job insecurity for young individuals in EU member states.

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“…From a housing and broader public policy perspective, a robust understanding of the impact that income volatility may have on households should be actively sought. International studies have found that households whose incomes fluctuate by more than 25 per cent from pay to pay experience sharply higher risks of emotional conflict (Hill, Morris et al 2013), housing instability (Smith-Ramani, Mitchell et al 2017) and financial hardship (Hacker, Huber et al 2012;Morris, Hill et al 2015;Nichols and Rehm 2014).…”

Section: Income Volatilitymentioning

confidence: 99%

Using flow data to understand housing insecurity: an exploratory analysis

Yanotti¹,

Banks²,

Silva³

et al. 2021

AHURI Final Report

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AHURIAHURI is a national independent research network with an expert not-for-profit research management company, AHURI Limited, at its centre. AHURI's mission is to deliver high quality research that influences policy development and practice change to improve the housing and urban environments of all Australians.Using high quality, independent evidence and through active, managed engagement, AHURI works to inform the policies and practices of governments and the housing and urban development industries, and stimulate debate in the broader Australian community.AHURI undertakes evidence-based policy development on a range of priority policy topics that are of interest to our audience groups, including housing and labour markets, urban growth and renewal, planning and infrastructure development, housing supply and affordability, homelessness, economic productivity, and social cohesion and wellbeing. AHURI Limited also gratefully acknowledges the contributions, both financial and in-kind, of its university research partners who have helped make the completion of this material possible. DisclaimerThe opinions in this report reflect the views of the authors and do not necessarily reflect those of AHURI Limited, its Board, its funding organisations or Inquiry Panel members. No responsibility is accepted by AHURI Limited, its Board or funders for the accuracy or omission of any statement, opinion, advice or information in this publication. AHURI journalAHURI Final Report journal series is a refereed series presenting the results of original research to a diverse readership of policy makers, researchers and practitioners. Peer review statementAn objective assessment of reports published in the AHURI journal series by carefully selected experts in the field ensures that material published is of the highest quality. The AHURI journal series employs a double-blind peer review of the full report, where anonymity is strictly observed between authors and referees.

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Income Risk in 30 Countries

Cited by 20 publications

References 46 publications

Detecting economic insecurity in Italy: a latent transition modelling approach

Detecting economic insecurity in Italy: a latent transition modelling approach

On the Measurement of Positive Labor Market Mobility

Using flow data to understand housing insecurity: an exploratory analysis

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