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<title>1.	Artículos académicos</title>
<link>http://hdl.handle.net/11531/53256</link>
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<rdf:li rdf:resource="http://hdl.handle.net/11531/52009"/>
<rdf:li rdf:resource="http://hdl.handle.net/11531/51275"/>
<rdf:li rdf:resource="http://hdl.handle.net/11531/51272"/>
<rdf:li rdf:resource="http://hdl.handle.net/11531/51057"/>
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<dc:date>2026-04-15T09:32:24Z</dc:date>
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<item rdf:about="http://hdl.handle.net/11531/52009">
<title>Estimating the COVID-19 cash crunch: Global evidence and policy</title>
<link>http://hdl.handle.net/11531/52009</link>
<description>Estimating the COVID-19 cash crunch: Global evidence and policy
Vito, Antonio De; Gómez, Juan-Pedro
In this paper, we investigate how the COVID-19 health crisis could affect the liquidity of&#13;
listed firms across 26 countries. We stress-test three liquidity ratios for each firm with full&#13;
and partial operating flexibility in two simulated distress scenarios corresponding to drops&#13;
in sales of 50% and 75%, respectively. In the most adverse scenario, the average firm with&#13;
partial operating flexibility would exhaust its cash holdings in about two years. At that&#13;
point, its current liabilities would increase, on average, by eight times, suggesting that&#13;
the average firm would have to resort to the debt market to prevent a liquidity crunch.&#13;
Moreover, about 1/10th of all sample firms would become illiquid within six months.&#13;
Finally, we study two different fiscal policies, tax deferrals and bridge loans, that governments&#13;
could implement to mitigate the liquidity risk. Our analysis suggests bridge loans&#13;
are more cost-effective to prevent a massive cash crunch.
Articulo de Revista
</description>
<dc:date>2020-04-25T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/11531/51275">
<title>The Welfare State in Spain : An Impact Assessment</title>
<link>http://hdl.handle.net/11531/51275</link>
<description>The Welfare State in Spain : An Impact Assessment
Gómez Bengoechea, Gonzalo; Quan, Siyu
We use the methodology developed by Lustig (2016) to analyze  scal incidence in&#13;
Spain in the year 2016. Data from the Survey on Life Conditions (ECV) is used to&#13;
assess the e ects of government taxation and public spending on income distribution,&#13;
inequality and poverty. Our results show that Spain's redistribution system is more&#13;
ine cient in reducing inequality, according to all the available metrics, than the other&#13;
countries analyzed under CEQ Methodology. However, when compared with OECD&#13;
countries, inequality is higher and redistribution lower.
</description>
<dc:date>2020-09-28T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/11531/51272">
<title>Fiscal incidence in Spain in 2016</title>
<link>http://hdl.handle.net/11531/51272</link>
<description>Fiscal incidence in Spain in 2016
Gómez Bengoechea, Gonzalo; Quan, Siyu
We use the methodology developed by the Commitment to Equity (CEQ) Institute&#13;
to analyze fiscal incidence in Spain in the year 2016. Data from the Survey on Life&#13;
Conditions (ECV) is used to assess the e↵ects of government taxation and public&#13;
spending on income distribution, inequality and poverty. Our results show that Spain’s&#13;
redistribution system is highly efficient in reducing inequality, compared to other CEQanalyzed&#13;
countries. Regional regulatory di↵erences diminish the progressivity of some&#13;
fiscal interventions.
</description>
<dc:date>2020-06-09T00:00:00Z</dc:date>
</item>
<item rdf:about="http://hdl.handle.net/11531/51057">
<title>Assessing the Impact of the COVID-19 Pandemic in Spain : Large-Scale, Online, Self-Reported Population Survey</title>
<link>http://hdl.handle.net/11531/51057</link>
<description>Assessing the Impact of the COVID-19 Pandemic in Spain : Large-Scale, Online, Self-Reported Population Survey
Oliver, Nuria; Barber, Xavier; Roomp, Kirsten; Roomp, Kristof
Moorhead, A.; Eysenbach, G.
Background: Spain has been one of the countries most impacted by the COVID-19 pandemic. Since the first confirmed case&#13;
was reported on January 31, 2020, there have been over 405,000 cases and 28,000 deaths in Spain. The economic and social&#13;
impact is without precedent. Thus, it is important to quickly assess the situation and perception of the population. Large-scale&#13;
online surveys have been shown to be an effective tool for this purpose.&#13;
Objective: We aim to assess the situation and perception of the Spanish population in four key areas related to the COVID-19&#13;
pandemic: social contact behavior during confinement, personal economic impact, labor situation, and health status.&#13;
Methods: We obtained a large sample using an online survey with 24 questions related to COVID-19 in the week of March&#13;
28-April 2, 2020, during the peak of the first wave of COVID-19 in Spain. The self-selection online survey method of nonprobability&#13;
sampling was used to recruit 156,614 participants via social media posts that targeted the general adult population (age &gt;18 years).&#13;
Given such a large sample, the 95% CI was ±0.843 for all reported proportions.&#13;
Results: Regarding social behavior during confinement, participants mainly left their homes to satisfy basic needs. We found&#13;
several statistically significant differences in social behavior across genders and age groups. The population’s willingness to&#13;
comply with the confinement measures is evident. From the survey answers, we identified a significant adverse economic impact&#13;
of the pandemic on those working in small businesses and a negative correlation between economic damage and willingness to&#13;
stay in confinement. The survey revealed that close contacts play an important role in the transmission of the disease, and 28%&#13;
of the participants lacked the necessary resources to properly isolate themselves. We also identified a significant lack of testing,&#13;
with only 1% of the population tested and 6% of respondents unable to be tested despite their doctor’s recommendation. We&#13;
developed a generalized linear model to identify the variables that were correlated with a positive SARS-CoV-2 test result. Using&#13;
this model, we estimated an average of 5% for SARS-CoV-2 prevalence in the Spanish population during the time of the study.&#13;
A seroprevalence study carried out later by the Spanish Ministry of Health reported a similar level of disease prevalence (5%).&#13;
Conclusions: Large-scale online population surveys, distributed via social media and online messaging platforms, can be an&#13;
effective, cheap, and fast tool to assess the impact and prevalence of an infectious disease in the context of a pandemic, particularly&#13;
when there is a scarcity of official data and limited testing capacity.
Articulo de Revista
</description>
<dc:date>2020-09-10T00:00:00Z</dc:date>
</item>
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