Summary information

Study title

Code/Syntax: Navigating Subjective Socioeconomic Insecurity in Times of Crisis

Creator

Wang, Hequn ( Universität Hamburg; Université catholique de Louvain)

Study number / PID

10.7802/2814 (GESIS)

10.7802/2814 (DOI)

Data access

Informationen nicht verfügbar

Series

Nicht verfügbar

Abstract

Syntax files to replicate the analyses using the SOECBIAS-COVREF data: Beblo, Miriam, Jäger, Julian, Lohmann, Henning, Sattler-Bublitz, Elisabeth, & Wang, Hequn (2024). SOECBIAS-COVREF Data Set. GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2772. Abstract Using experiences from the financial crisis, this paper investigates the extent to which subjective socioeconomic insecurity among Germans has changed during the COVID-19 pandemic and in the aftermath of the Russia-Ukraine war. I analyse how subjective insecurity is associated with individuals’ social status and their personal crisis experiences and perceptions during the crises. I distinguish between objective and subjective social status, addressing the more crucial role of the latter in shaping subjective insecurity. Using panel data from 2020 to 2022 and additional Eurobarometer data, the results show that Germans are less concerned about their jobs and more about their economic conditions. Subjective economic insecurity experienced a substantial increase in summer 2022, potentially due to the energy crisis and inflation, which have been exacerbated by the war. The increase was primarily observed among individuals who perceive themselves at the bottom of society, indicating a crucial role of subjective social status in explaining changes in feelings of insecurity. Objective status based on income, education or occupation does not explain the changes. Overall, lower-status groups are more likely to feel insecure. During crises, this negative association is intensified by individuals’ crisis experiences such as income loss and their perceptions of economic affectedness.

Topics

Nicht verfügbar

Methodology

Data collection period

Nicht verfügbar

Country

Deutschland

Time dimension

Nicht verfügbar

Analysis unit

Nicht verfügbar

Universe

Nicht verfügbar

Sampling procedure

Nicht verfügbar

Kind of data

Nicht verfügbar

Data collection mode

Nicht verfügbar

Access

Publisher

GESIS Datenarchiv für Sozialwissenschaften

Publication year

2024

Terms of data access

Freier Zugang (mit Registrierung) - Die Forschungsdaten können von allen registrierten Nutzerinnen und Nutzern heruntergeladen werden. CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de)

Related publications

Nicht verfügbar