Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Claudia Biancotti"'
Autor:
Luigi Bellomarini, Lorenzo Bencivelli, Claudia Biancotti, Livia Blasi, Francesco Paolo Conteduca, Andrea Gentili, Rosario Laurendi, Davide Magnanimi, Michele Savini Zangrandi, Flavia Tonelli, Stefano Ceri, Davide Benedetto, Markus Nissl, Emanuel Sallinger
Publikováno v:
Data & Knowledge Engineering. 141:102073
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::260ebcb6a9460687089690ac0b74b649
https://doi.org/10.1016/j.datak.2022.102073
https://doi.org/10.1016/j.datak.2022.102073
Publikováno v:
SSRN Electronic Journal.
As COVID-19 spread globally, fast political decisions and the implementation of drastic measures were necessary to slow down proliferation and counter the economic disruption. The demand for broad, timely, high-frequency statistics about economic and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9aba8116499f02d18688d77ffb7f0b56
https://doi.org/10.2139/ssrn.3828122
https://doi.org/10.2139/ssrn.3828122
Publikováno v:
SSRN Electronic Journal.
Official statistics serve as an important compass for policymakers due to their quality, impartiality, and transparency. In the current post-pandemic environment of great uncertainty and widespread disinformation, they need to serve this purpose more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4153a6e51cf14e82d6499974b4d31cd4
https://doi.org/10.2139/ssrn.3896309
https://doi.org/10.2139/ssrn.3896309
Autor:
Paolo Ciocca, Claudia Biancotti
Publikováno v:
SSRN Electronic Journal.
Policymakers around the world are finally looking for a way to mitigate the dangers inherent to large-scale data collection and AI use. Their decisions will affect more than the fate of a few firms. The limits that governments set, or decline to set,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce35e3ee37eb700f7e84a626f90f07e5
https://doi.org/10.2139/ssrn.3726847
https://doi.org/10.2139/ssrn.3726847
Autor:
Paolo Ciocca, Claudia Biancotti
Publikováno v:
Military Cyber Affairs. 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1f7d3f3a16381e74856d743190d5356
https://doi.org/10.5038/2378-0789.3.2.1061
https://doi.org/10.5038/2378-0789.3.2.1061
Autor:
Claudia Biancotti
Publikováno v:
SSRN Electronic Journal.
This paper presents preliminary evidence on cyber risk in the Italian private sector based on the Bank of Italy’s annual surveys of Italian industrial and service firms. The information collected, albeit only covering the incidence of cyber attacks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37e8445834e2fae83409385157c3556e
https://doi.org/10.2139/ssrn.2954991
https://doi.org/10.2139/ssrn.2954991
Autor:
Claudia Biancotti
Publikováno v:
SSRN Electronic Journal.
This paper presents evidence on the economic dimension of cyber risk in the Italian private non-financial sector, based on Bank of Italy survey data. In 2016, the median amount spent on preventing cyber attacks was a modest €4,530, i.e. 15 per cent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd3d6e315c6b9a1bd67d6242128a0df0
https://doi.org/10.2139/ssrn.3082195
https://doi.org/10.2139/ssrn.3082195
Publikováno v:
Review of Income and Wealth. 54:466-493
This paper is aimed at evaluating the incidence of measurement error in the Bank of Italy's Survey of Household Income and Wealth (SHIW). In the case of time-invariant variables, we assess the degree of inconsistency of answers given by panel househo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fe517a3b3449009392f0cb8d8646d0e
https://doi.org/10.1111/j.1475-4991.2008.00283.x
https://doi.org/10.1111/j.1475-4991.2008.00283.x
Autor:
Claudia Biancotti
Publikováno v:
The Journal of Economic Inequality. 4:1-32
This paper presents a panel of internationally comparable Gini coefficients, based on the United Nations University/World Institute for Development Economics Research World Income Inequality Database version 1.0. The 217 data points that match minimu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6b9b2a58a9ad5373dac89e2f46a6b29
https://doi.org/10.1007/s10888-005-4889-7
https://doi.org/10.1007/s10888-005-4889-7
Publikováno v:
SSRN Electronic Journal.
We analyze data from the Bank of Italy's most recent recruitment rounds, in an effort to explain why men consistently score better than women. We focus on the pre-screening stage of the hiring process, a multiple-choice test, where men acquire a prel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::287b6cda2137037b66c777b5f64f46b5
https://doi.org/10.2139/ssrn.2298596
https://doi.org/10.2139/ssrn.2298596