This research note investigates the causal effects of inflationary shocks on household economic indicators, 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 employment 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 Superbonus 110%.1 It does not provide such detailed analysis for France and Germany, given the lack of publicly available official data on energy-saving policies implemented.

Inflationary shocks, economic aggregates and households’ green transition. A causal machine learning analysis using mixed frequency data / Ciganovic, Milos; D'Amario, Federico; Tancioni, Massimiliano. - (2024), pp. 1-44. [10.2767/005050]

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

Milos Ciganovic;Federico D'Amario;Massimiliano Tancioni
2024

Abstract

This research note investigates the causal effects of inflationary shocks on household economic indicators, 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 employment 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 Superbonus 110%.1 It does not provide such detailed analysis for France and Germany, given the lack of publicly available official data on energy-saving policies implemented.
2024
economic indicator; employment statistics; France; Germany; green economy; household; inflation; Italy; machine learning; serial publication
01 Pubblicazione su rivista::01a Articolo in rivista
Inflationary shocks, economic aggregates and households’ green transition. A causal machine learning analysis using mixed frequency data / Ciganovic, Milos; D'Amario, Federico; Tancioni, Massimiliano. - (2024), pp. 1-44. [10.2767/005050]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1726255
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