[ceis_seminars_phd] ERN CEIS: Centre for Economic & International Studies Working Paper Series, Vol. 18 No. 4, 06/17/2020


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  • Subject: [ceis_seminars_phd] ERN CEIS: Centre for Economic & International Studies Working Paper Series, Vol. 18 No. 4, 06/17/2020
  • Date: Thu, 18 Jun 2020 09:16:26 +0200

Title: CEIS: Centre for Economic & International Studies Working Paper Series :: SSRN

 

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Table of Contents

Marianna Brunetti, Dept. Economics and Finance, University of Rome Tor Vergata, CEFIN
Elena Giarda, Dipartimento di Analisi e Ricerca Economica, Prometeia, UniversitĂ  degli studi di Modena e Reggio Emilia (UNIMORE) - Center for Research in Banking and Finance (CEFIN), Fondazione Rodolfo Debenedetti
Costanza Torricelli, University of Modena and Reggio Emilia - Department of Economics, UniversitĂ  degli studi di Modena e Reggio Emilia (UNIMORE) - Center for Research in Banking and Finance (CEFIN), Center for Research on Pensions and Welfare Policies (CeRP)

Rama Dasi Mariani, University of Rome Tor Vergata
Alessandra Pasquini, CEIS, University of Rome Tor Vergata
Furio Camillo Rosati, University of Rome Tor Vergata

Alessandro Giovannelli, University of Rome Tor Vergata
Tommaso Proietti, University of Rome II - Department of Economics and Finance
Ambra Citton, Ministry of Economy and Finance, Italy
Ottavio Ricchi, Government of the Italian Republic (Italy) - Ministry of Economy and Finance - RGS
Cristian Tegami, Sogei S.p.A.
Cristina Tinti, affiliation not provided to SSRN


CEIS: CENTRE FOR ECONOMIC & INTERNATIONAL STUDIES
Furio Camillo Rosati - Director

"Financial Fragility Across Europe and the US: The Role of Portfolio Choices, Household Features and Economic-Institutional Setup" Free Download
CEIS Working Paper No. 487

MARIANNA BRUNETTI, Dept. Economics and Finance, University of Rome Tor Vergata, CEFIN
Email: ">
ELENA GIARDA,
Dipartimento di Analisi e Ricerca Economica, Prometeia, UniversitĂ  degli studi di Modena e Reggio Emilia (UNIMORE) - Center for Research in Banking and Finance (CEFIN), Fondazione Rodolfo Debenedetti
Email: ">
COSTANZA TORRICELLI,
University of Modena and Reggio Emilia - Department of Economics, UniversitĂ  degli studi di Modena e Reggio Emilia (UNIMORE) - Center for Research in Banking and Finance (CEFIN), Center for Research on Pensions and Welfare Policies (CeRP)
Email: ">

This paper investigates households’ financial fragility in twelve European countries and in the US by employing the first wave of the Household Finance and Consumption Survey (HFCS) and the 2010 Survey of Consumer Finances (SCF), respectively. Financial fragility is defined by taking into account both income constraints and portfolio composition (liquidity and indebtedness). Three main results emerge. First, the estimation of bivariate probit models reveals that in all countries holding an illiquid portfolio increases the likelihood of being financially fragile, while having a mortgage generally reduces it. Second, there are relevant differences among countries in their estimated average probability of financial fragility. Finally, decomposition of these differences by means of counterfactual methods provides evidence of a significant role of the country’s economic-institutional setup in providing a safety net against financial fragility. This is more true in Europe than in the US.

"Elementary Facts About Immigration in Italy. What Do We Know About Immigration and its Impact" Free Download
CEIS Working Paper No. 488

RAMA DASI MARIANI, University of Rome Tor Vergata
ALESSANDRA PASQUINI,
CEIS, University of Rome Tor Vergata
Email: ">
FURIO CAMILLO ROSATI,
University of Rome Tor Vergata

In the recent past, in Italy, immigration has been at the centre of academic and policy debates. Nonetheless, the still growing literature has focused mainly on the experience of old settlement countries and has mainly looked at single aspects of the phenomenon. In order to guide effective policy intervention, we offer an exhaustive view of immigration in Italy. We combine the presentation of stylized facts from available data, based on descriptive analyses, with a review of existing studies. Our conclusions tell that evidence available for Italy does not match the policy relevance of an issue that has been dominating the public debate in the last years and also identify areas where solid evidence or analysis is needed.

"Nowcasting GDP and its Components in a Data-Rich Environment: The Merits of the Indirect Approach" Free Download
CEIS Working Paper No. 489

ALESSANDRO GIOVANNELLI, University of Rome Tor Vergata
Email: ">
TOMMASO PROIETTI,
University of Rome II - Department of Economics and Finance
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AMBRA CITTON,
Ministry of Economy and Finance, Italy
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OTTAVIO RICCHI,
Government of the Italian Republic (Italy) - Ministry of Economy and Finance - RGS
Email: ">
CRISTIAN TEGAMI,
Sogei S.p.A.
Email: ">
CRISTINA TINTI,
affiliation not provided to SSRN

The national accounts provide a coherent and exaustive description of the current state of the economy, but are available at the quarterly frequency and are released with a nonignorable publication lag. The paper proposes and illustrates a method for nowcasting and forecasting the sixteen main components of Gross Domestic Product (GDP) by output and expenditure type at the monthly frequency, using a high-dimensional set of monthly economic indicators spanning the space of the common macroeconomic and financial factors. The projection on the common space is carried out by combining the individual nowcasts and forecasts arising from all possible bivariate models of the unobserved monthly GDP component and the observed monthly indicator. We discuss several pooling strategies and we select the one showing the best predictive performance according to a pseudo real time forecasting experiment. Monthly GDP can be indirectly estimated by the contemporaneous aggregation of the value added of the different industries and of the expenditure components. This enables the comparative assessment of the indirect nowcasts and forecasts vis-Ă -vis the direct approach and a growth accounting exercise. Our approach meets the challenges posed by the dimensionality, since it can handle a large number of time series with a complexity that increases linearly with the cross-sectional dimension, while retaining the essential heterogeneity of the information about the macroeconomy. The application to the Italian case leads to several interesting discoveries concerning the time-varying predictive content of the information carried by the monthly indicators.

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  • [ceis_seminars_phd] ERN CEIS: Centre for Economic & International Studies Working Paper Series, Vol. 18 No. 4, 06/17/2020, Barbara Piazzi

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