Fondazione GRINS
Growing Resilient,
Inclusive and Sustainable
Galleria Ugo Bassi 1, 40121, Bologna, IT
C.F/P.IVA 91451720378
Finanziato dal Piano Nazionale di Ripresa e Resilienza (PNRR), Missione 4 (Infrastruttura e ricerca), Componente 2 (Dalla Ricerca all’Impresa), Investimento 1.3 (Partnership Estese), Tematica 9 (Sostenibilità economica e finanziaria di sistemi e territori).



Open Access
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In this paper, we introduce a method to quantify the deviation of local policymaking
from expected norms based on local characteristics. We begin by computing the cosine similarity of municipal public budgets between pairs of municipalities to generate a measure of similarity in policymaking. This measure strongly correlates with differences in local characteristics, such as geographical distance, size and demographic composition, and the political traits of local officials. Next, we use a fixed-effect model of municipality pairs to predict, out-of-sample, their budget similarity based on local characteristics.
The prediction errors (residuals) measure fiscal divergence, indicating how much a municipality’s behavior deviates from expectations. We apply and test this method using data from Italian municipalities, focusing on how electoral accountability affects policy decision-making. Our findings show that fiscal divergence tends to decrease in the year preceding local elections, illustrating the impact of electoral cycles on political behavior and providing a practical application of the method.
Keywords: Fiscal Policy, Policymaking, Italy, High-Dimensional Data
JEL Classification: H72, H20, H30
KEYWORDS
AKNOWLEDGEMENTS
This study was funded by the European Union - NextGenerationEU, in the framework of the GRINS - Growing Resilient, INclusive and Sustainable project (GRINS PE00000018). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them.
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