June 1, 2024Economics & SociologyOpen Access

Threat to life or livelihoods: analyzing employment attitudes of Ukrainian war immigrants with Bayesian model averaging

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Financial survival needs partly drove displaced households to migrate, while public and private support distinctly facilitated prompt inclusion in the local labour market.
Analysis of household-level survey data collected in Krakow in May 2022 utilizes Bayesian averaging of classical estimates to model employment attitudes and planning.
Host language proficiency consistently accelerated professional activation abroad, confirming core predictions of socio-economic migration theories for wartime refugees.

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Implication

Household survey reveals determinants of labour market inclusion among Ukrainian war refugees, highlighting the key roles of language skills and assistance.

Cite This Study

Kochaniak et al. (2024) studied this question.

synapsesocial.com/papers/68e66c6fb6db6435875f7cc3 https://doi.org/10.14254/2071-789x.2024/17-2/11

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Implication

Household survey reveals determinants of labour market inclusion among Ukrainian war refugees, highlighting the key roles of language skills and assistance.

Threat to life or livelihoods: analyzing employment attitudes of Ukrainian war immigrants with Bayesian model averaging

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Implication

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Threat to life or livelihoods: analyzing employment attitudes of Ukrainian war immigrants with Bayesian model averaging

Key Points

Discussion

Implication

Cite This Study

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