The labour market and the distribution of earnings: an empirical analysis for Italy

Clementi, Fabio; Giammatteo, Michele

doi:10.1080/02692171.2013.838544

Cited by 8 publications

(3 citation statements)

References 55 publications

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“…However, the INAPP-PLUS survey provides individual weights to account for nonresponse and attrition issues which usually affect sample surveys. Similarly to other empirical studies relying on the same dataset (see, among others, Clementi and Giammatteo 2014;Filippetti et al 2019;Radicchia (2011, 2016), all descriptive statistics and estimates reported in this analysis are weighted using those individual weights. 5 The second survey composing our innovative dataset is the 2013 wave of the ICP, created in 2004 and currently performed by INAPP.…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

Working from home and income inequality: risks of a ‘new normal’ with COVID-19

2020

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In the current context of the COVID-19 pandemic, working from home (WFH) became of great importance for a large share of employees since it represents the only option to both continue working and minimise the risk of virus exposure. Uncertainty about the duration of the pandemic and future contagion waves even led companies to view WFH as a 'new normal' way of working. Based on influence function regression methods, this paper explores the potential consequences in the labour income distribution related to a long-lasting increase in WFH feasibility among Italian employees. Results show that a positive shift in WFH feasibility would be associated with an increase in average labour income, but this potential benefit would not be equally distributed among employees. Specifically, an increase in the opportunity to WFH would favour male, older, high-educated, and high-paid employees. However, this 'forced innovation' would benefit more employees living in provinces have been more affected by the novel coronavirus. WFH thus risks exacerbating pre-existing inequalities in the labour market, especially if it will not be adequately regulated. As a consequence, this study suggests that policies aimed at alleviating inequality, like income support measures (in the short run) and human capital interventions (in the long run), should play a more important compensating role in the future.

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Section: Data and Descriptive Statisticsmentioning

confidence: 99%

Working from home and income inequality: risks of a ‘new normal’ with COVID-19

2020

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“…4 The INAPP-PLUS survey also provides individual weights to account for non-response and attrition issues which usually affect sample surveys. Similarly to other empirical studies relying on the same dataset (see, among others, Clementi and Giammatteo, 2014;Filippetti et al, 2019;Meliciani 4 The stratification of the INAPP-PLUS survey sample is based on population strata by NUTS-2 Region of residence, urbanisation degree (i.e., metropolitan or non-metropolitan area), age group, sex, and employment status (i.e., employed, unemployed, student, retired, or other inactive status).…”

Section: Datamentioning

confidence: 79%

All that Glitters Is not Gold. Effects of Working from Home on Income Inequality at the Time of COVID-19

2020

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“…3 Data and descriptive statistics this dataset (see, among others, Bonacini et al, 2021;Clementi and Giammatteo, 2014;Esposito and Scicchitano, 2020;Filippetti et al, 2019;Meliciani and Radicchia, 2011;Van Wolleghem et al, 2019), we report descriptive statistics and estimates by weighting all observations with such individual weights.…”

Section: Conceptual Framework and Relevant Literaturementioning

confidence: 99%

The reassuring effect of firms' technological innovations on workers' job insecurity

Caselli,

Fracasso,

Marcolin

et al. 2023

IJM

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PurposeThis work analyses how the adoption of technological innovations correlates with workers' perceived levels of job insecurity, and what factors moderate such relationship.Design/methodology/approachThe study makes use of the 2018 wave of the Participation, Labour, Unemployment Survey (PLUS) from Inapp. The richness of the survey and the representativeness of the underlying sample (including 13,837 employed workers) allow employing various empirical specifications where it is possible to control and moderate for many socio-demographic features of the worker, including her occupation and industry of employment, thereby accounting for various potential confounding factors.FindingsThe results of this ordered logit estimations show that workers' perception of job insecurity is affected by many subjective, firm-related and even macroeconomic factors. This study demonstrates that the adoption of technological innovations by companies is associated with lower levels of job insecurity perceived by their workers. In fact, the adoption of technological innovations by a company is perceived by surviving workers (those who remain in the same firm even after the introduction of such innovations) as a signal of the firm's health and its commitment to preserving the activity. Individual- and occupation-specific moderating factors play a limited role.Originality/valueThis study estimates how perceived job insecurity relates to the technological innovations adopted by the firms in which the interviewees are employed rather than analyzing their general concerns about job insecurity. In addition, this study identifies different types of innovations, such as product and process innovation, automation and other types of innovations.

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The labour market and the distribution of earnings: an empirical analysis for Italy

Cited by 8 publications

References 55 publications

Working from home and income inequality: risks of a ‘new normal’ with COVID-19

Working from home and income inequality: risks of a ‘new normal’ with COVID-19

All that Glitters Is not Gold. Effects of Working from Home on Income Inequality at the Time of COVID-19

The reassuring effect of firms' technological innovations on workers' job insecurity

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