2017
DOI: 10.1186/s40172-017-0054-3
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Interaction effects of region-level GDP per capita and age on labour market transition rates in Italy

Abstract: The aim of this paper is to measure the effect of the interaction between age for the population of males and females aged 18 to 74 and region-level GDP per capita on labour market transition probabilities in Italy. We compare different occupational states in a sample of males and females who remained in their region of residence at two points in time (12 months apart). We estimate the transition probabilities using a flexible hierarchical logit model with interaction effects between worker age and region-leve… Show more

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Cited by 9 publications
(7 citation statements)
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“…Another factor of interest is the spatial difference in the number of channels used for job searches. Specifically, we found the highest multichannel attitude in the richest area of the country (northern Italy), where the transition from the status of unemployed to employed is more likely (Zanin and Calabrese 2017 ). Further details and evidence of job-search patterns can emerge from a more specific analysis of job-search methods (see the next section).…”
Section: Resultsmentioning
confidence: 74%
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“…Another factor of interest is the spatial difference in the number of channels used for job searches. Specifically, we found the highest multichannel attitude in the richest area of the country (northern Italy), where the transition from the status of unemployed to employed is more likely (Zanin and Calabrese 2017 ). Further details and evidence of job-search patterns can emerge from a more specific analysis of job-search methods (see the next section).…”
Section: Resultsmentioning
confidence: 74%
“…Instead, as compared to the reference category (35–44 years old), when unemployed individuals have job experience, the decrease in multichannel attitude becomes more important only after 65 years of age (AME equal to − 0.89). The difficulty in employment re-entry of unemployed individuals close to retirement, as observed in the study by Zanin and Calabrese ( 2017 ), is thereby the result of a mix of issues that, in a vicious loop, go from the lack of some individual skills (e.g., motivation, willingness to lifelong learning, technology skills) and less willingness to move for a job to matters of business management (e.g., firms have higher costs when hiring an older unemployed person than a younger one), and so on, leading to the discouragement of unemployed individuals. Due to the aforementioned or other barriers, we assume this might lead the oldest unemployed individuals to search for a job with less effort.…”
Section: Resultsmentioning
confidence: 77%
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“…From a quantitative point of view, most of this work is statistical in nature, centered around samples and experiences aiming to shed light on different aspects of the problem. See for example [2], [3], [5], [8], [12], and [13]. Shaw and Stanton [9] used Markov Chains to study the "leaky pipeline" through an academic career, and Clifton et al [4] developed a compartmental dynamical system model to study the gap dynamics in terms of gender bias and homophily across the hierarchical levels of the professional ladder.…”
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confidence: 99%