Determinants of the Choice of Job Search Channels by the Unemployed Using a Multivariate Probit Model
Social Indicators Research, ISSN: 1573-0921, Vol: 152, Issue: 1, Page: 369-420
2020
- 5Citations
- 78Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations5
- Citation Indexes5
- CrossRef1
- Captures78
- Readers78
- 78
Article Description
We investigate factors affecting the job search channels (newspapers, agency, informal network, direct contact, internet) of unemployed individuals in Italy using a multivariate probit model. We separately analyse unemployed individuals who lost their job or who are entering the labour market for the first time (i.e., with or without previous job experience, respectively). We use cross-sectional microdata covering the 2014–2018 period. We do not find important differences in the determinants in common between unemployed individuals with and without previous job experience (such as, age, education, and citizenship). The main difference between the two samples is in the composition, with more young people in the latter group (mainly individuals in the school-to-work transition) than in the first one. We find that better-educated unemployed people have more of a multichannel attitude when searching for jobs than their counterparts. Moreover, for unemployed individuals with previous job experience, the characteristics of their last job play a crucial role in influencing the choice of search channel(s). For example, unemployed individuals from high-skilled professions (that typically require the employment of better-educated individuals) choose the internet with a higher probability than other channels, while those from low-skilled professions and with experience in manufacturing have a higher probability of considering employment agencies than those in qualified professions in commercial activities and services. We have assumed that the unobservable factors affecting the decision process of a multichannel job search (estimated through the pairwise correlation coefficients across the residuals of the models) are represented by personality features of an individual, such as motivation, self-control, and preferences. A strong, positive, and significant correlation is found between job searching through the internet and direct contact with firms, but with some spatial differences between macro-areas of the country.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85088527322&origin=inward; http://dx.doi.org/10.1007/s11205-020-02439-z; http://www.ncbi.nlm.nih.gov/pubmed/32836673; https://link.springer.com/10.1007/s11205-020-02439-z; https://dx.doi.org/10.1007/s11205-020-02439-z; https://link.springer.com/article/10.1007/s11205-020-02439-z
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know