Add wos sample results library

02-data/intermediate/wos_sample/85b589e8e24c35a8bebcb66a9f9904ed-monteduro-maria-ter/info.yaml

@@ -0,0 +1,80 @@
+abstract: 'This paper addresses how to nowcast household income changes in a
+
+  context of generalized but asymmetric economic shocks like the COVID-19
+
+  pandemic by integrating real-time data into microsimulation models. The
+
+  analysis provides an accurate assessment of distributional impacts of
+
+  COVID-19 and Italian policy responses during 2020, thanks to quarterly
+
+  data on the turnover of firms and professionals and on costs (goods,
+
+  services and personnel). Thanks to these data, we can nowcast both the
+
+  income dynamics of the self-employed and entrepreneurs and the
+
+  wage-supplementation scheme for working time reduction, as well as all
+
+  the other interventions based on turnover variations. The nowcasting
+
+  procedure applies the firm-level data to the TAXBEN-DF microsimulation
+
+  model (Italian Department of Finance) already relying on a particularly
+
+  rich and update database of survey and administrative data at individual
+
+  level that makes it an almost unique model of its kind. Results suggest
+
+  that policy measures in response to the first pandemic year have been
+
+  effective in keeping overall income inequality under control, while not
+
+  yet being able to avoid a concerning polarization of incomes and large
+
+  heterogeneous effects in terms of both income losses and measures''
+
+  compensation.'
+affiliation: 'De Rosa, D (Corresponding Author), Minist Econ \& Finance, Dept Finance,
+  Rome, Italy.
+
+  Monteduro, Maria Teresa; De Rosa, Dalila; Subrizi, Chiara, Minist Econ \& Finance,
+  Dept Finance, Rome, Italy.'
+author: Monteduro, Maria Teresa and De Rosa, Dalila and Subrizi, Chiara
+author-email: 'mariateresa.monteduro@mef.gov.it
+
+  dalila.derosa@mef.gov.it
+
+  chiara.subrizi@mef.gov.it'
+author_list:
+- family: Monteduro
+  given: Maria Teresa
+- family: De Rosa
+  given: Dalila
+- family: Subrizi
+  given: Chiara
+da: '2023-09-28'
+doi: 10.1007/s40797-023-00232-8
+earlyaccessdate: JUN 2023
+eissn: 2199-3238
+files: []
+issn: 2199-322X
+journal: ITALIAN ECONOMIC JOURNAL
+keywords: 'COVID-19; Nowcasting; Administrative and survey data; Microsimulation;
+
+  Inequalities'
+keywords-plus: POVERTY; INDICATORS; INEQUALITY
+language: English
+month: 2023 JUN 27
+number-of-cited-references: '43'
+papis_id: ab8520f06fa2c5eb3ff487d2df6294d7
+ref: Monteduro2023hownowcast
+times-cited: '0'
+title: How to Nowcast Uncertain Income Shocks in Microsimulation Models? Evidence
+  from COVID-19 Effects on Italian Households
+type: Article; Early Access
+unique-id: WOS:001017553800001
+usage-count-last-180-days: '0'
+usage-count-since-2013: '0'
+web-of-science-categories: Economics
+year: '2023'