15:30 - 17:45
Friday-Panel
Chair/s:
Shared by Panellists
Discussant/s:
Noam Lupu
Meeting Room H

Arndt Leininger, Max Schaub
Strategic alignment in times of crisis: Voting at the dawn of a global pandemic

Leonardo Baccini, Thomas Sattler
Austerity, Economic Vulnerability, and Populism

Costin Ciobanu
Blame and credit attribution for economic shocks

Jane Green, Lawrence McKay, Will Jennings, Gerry Stoker
Perceptions of Local Economic Decline: who perceives decline, and why does it matter?

Max Joosten
Exploring preference prioritization under austerity
Blame and credit attribution for economic shocks
Costin Ciobanu
McGill University

Economic shocks occur regularly across European democracies. Despite the prevalence and electoral relevance of such shocks, the overall results on their impact on voting behavior have been inconclusive. I test this conclusion with a new dataset of sub-national (NUTS-2 level) European and legislative elections results and labor market shocks for 27 European democracies for the 2003 – 2020 period. The panel data estimations confirm the mixed findings, irrespective of type of shock (e.g. positive vs. negative) and outcome (incumbent support vs. change in the incumbent support).

I posit that attribution of responsibility could explain the mixed findings. I argue that attribution of political responsibility for sociotropic shocks (e.g. plant closure) is contingent on contextual factors (the type of restructuring event; the affected industry; the number of impacted workers; the sex of workers; the institutional set-up) and individual predispositions (personal job insecurity, nationalism, partisanship).

As Central and Eastern Europe is a fertile ground for offshoring and automation, I focus on the Romanian case, for which economic shocks also have an ambiguous effect on incumbent support. The key test involves a conjoint experiment conducted on a sample recruited through Facebook. I expose voters to hypothetical scenarios triggered by negative restructuring events (e.g. offshoring, automation) and ask them to evaluate the effect of the scenarios on political attribution and voting behavior. I also analyze positive shocks (e.g. job creation due to technological progress). To validate my conjoint analysis, I employ a vignette experiment both in the Facebook survey and a nationally representative sample.