Zatrudnienie, sprawy społeczne i włączenie społeczne

08/07/2024
Inflationary shocks, economic aggregates and households’ green transition: A causal machine-learning analysis using mixed-frequency data

Inflationary shocks, economic aggregates and households’ green transition: A causal machine-learning analysis using mixed-frequency data

This research note investigates the causal effects of inflationary shocks on household economic indi-cators, unemployment rates, and other critical labour market indicators for three countries: Germany, Italy and France. These are the three major EU economies and, together, represent nearly half of the EU population. The variables of interest are: unemployment rate, employment rate, part-time em-ployment as a percentage of employment, temporary contracts as a percentage of employment, gross household investment rate, gross household saving rate, and households’ consumption expenditure. The research note also analyses the causal effects of inflationary shocks on the take-up of energy-saving housing infrastructure policy (EIP) in Italy, based on the number of requests for the Italian Su-perbonus 110%. It does not provide such detailed analysis for France and Germany, given the lack of publicly available official data on energy-saving policies implemented. All of the labour market-related target variables are broken down by the main sex and age cohorts.

Catalog N. : KE-CF-24-010-EN-N

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