Regional aggregate indicators under subnational heterogeneity

Evidence from the Covid-19 pandemic in Spain

Bibliographic Data

ID15066749
AuthorsGerman Lopez-Buenache (0000-0002-0921-3649, Business Administration, Catholic University of Murcia, Murcia, Spain, corresponding author), Nina Pallarés (Business Administration, Catholic University of Murcia, Murcia, Spain), Vita Zhukova (0000-0002-1428-1187, Business Administration, Catholic University of Murcia, Murcia, Spain)
Year2023
Volume36
Issue1
Pages746-766
Publication date2023-03-31
Open AccessYes
TypeARTICLE
VenueEconomic Research-Ekonomska Istraživanja (JOURNAL)
Journal identifiersISSN: 1331-677X • E-ISSN: 1848-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2022.2119427
OpenAlexW4298112097
LanguageEN
References cited20

The COVID-19 outbreak forced governments to implement regional measures avoiding the spread of the virus, while evaluating their economic effects.However, official Spanish regional economic information is scarce.We estimate monthly regional aggregated indicators for each Spanish region combining a mixed frequency Dynamic Factor Model with a recursive procedure that identifies the most informative variables capturing economic developments in each region.The set of variables that better describe aggregate economic conditions varies considerably across the regions, which emphasizes the heterogeneity in their productive structures.Our results suggest that the post-pandemic recovery will be uneven across territories, stressing the need to monitor regional economic developments

2019-20 coronavirus outbreak · Geography · Outbreak · Pandemic · Economic Policies and Impacts · Medicine · Regional Development and Policy · Spatial and Panel Data Analysis · Virology

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