Výsledky vyhledávání - "Francesca Di Iorio"

Akademický článek

Testing for A Set of Linear Restrictions in VARMA Models Using Autoregressive Metric: An Application to Granger Causality Test

Autor: Francesca Di Iorio, Umberto Triacca

Publikováno v: Econometrics, Vol 2, Iss 4, Pp 203-216 (2014)

In this paper we propose a test for a set of linear restrictions in a Vector Autoregressive Moving Average (VARMA) model. This test is based on the autoregressive metric, a notion of distance between two univariate ARMA models, M0 and M1, introduced

Externí odkaz: https://doaj.org/article/fc1343a616ff43caa22cbcb1f582fdb8

Zobrazit plný text záznamu

Akademický článek

Residual diagnostics for interpreting CUB models

Autor: Francesca Di Iorio, Maria Iannario

Publikováno v: Statistica, Vol 72, Iss 2, Pp 163-172 (2013)

CUB models represent a new approach for the analysis of categorical ordinal data. The relevant domain of study is the specification and estimation of the behaviour of respondents when faced to ratings by analysing the relationship among ordinal score

Externí odkaz: https://doaj.org/article/44ef4fe9b6e24b2db19516c79244fd47

Zobrazit plný text záznamu

Akademický článek

A Note on the Estimation of Long-Run Relationships in Panel Equations with Cross-Section Linkages

Autor: Francesca Di Iorio, Stefano Fachin

Publikováno v: Economics: Journal Articles (2012)

Externí odkaz: https://doaj.org/article/961b39af6af447c19b9ffc8dac01b96f

Zobrazit plný text záznamu

Akademický článek

Testing for Breaks in Cointegrated Panels - with an Application to the Feldstein-Horioka Puzzle

Autor: Francesca Di Iorio, Stefano Fachin

Publikováno v: Economics: Journal Articles (2007)

Externí odkaz: https://doaj.org/article/7c80740624614aeea1f2fb74083a6b24

Zobrazit plný text záznamu

Fitting mixture models for feeling and uncertainty for rating data analysis

Autor: Giovanni Cerulli, Rosaria Simone, Francesca Di Iorio, Domenico Piccolo, Christopher F. Baum

Publikováno v: The Stata journal 22 (2022): 195–223.
info:cnr-pdr/source/autori:Giovanni Cerulli; Rosaria Simone; Francesca Di Iorio; Domenico Piccolo; Christopher F. Baum/titolo:Fitting mixture models for feeling and uncertainty for rating data analysis/doi:/rivista:The Stata journal/anno:2022/pagina_da:195/pagina_a:223/intervallo_pagine:195–223/volume:22

In this article, we present the command cub, which fits ordinal rating data using combination of uniform and binomial (CUB) models, a class of finite mixture distributions accounting for both feeling and uncertainty of the response process. CUB ident

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a870779dd19945ef2bc63f896d8a238
https://doi.org/10.1177/1536867x221083927

Zobrazit plný text záznamu

Synthetic indicators to analyze work-related physical and psychosocial risk factors: evidence from the European Working Conditions Survey

Autor: Stefania Capecchi, Carmela Cappelli, Maurizio Curtarelli, Francesca Di Iorio

Publikováno v: Quality & Quantity.

In modern workplaces, alongside physical, chemical, and biological hazards, other risks are linked to the organisation of work and to the nature of the work itself. This paper investigates the association between workers’ well-being and both psycho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf57564ca26ec982639da0accd31480f
https://doi.org/10.1007/s11135-023-01617-8

Zobrazit plný text záznamu

Preface

Autor: Francesca Di Iorio, Emanuele Baldacci, Dario Buono, Luca di Gennaro Splendore, Duncan Elliott, Rebecca Killick, Tiziana Laureti, Monica Pratesi, Natalie Shlomo

Publikováno v: Journal of Official Statistics, Vol 37, Iss 2, Pp 257-260 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f471da0b4edfd5c1eb49fc1a10f23579
https://doaj.org/article/f0f467e5b2054b9a9c2abb5bda876568

Zobrazit plný text záznamu

Evaluating restricted common factor models for non-stationary data

Autor: Stefano Fachin, Francesca Di Iorio

Publikováno v: Econometrics and Statistics. 17:64-75

Approximate factor models with restrictions on the loadings may be interesting both for structural analysis (simpler structures are easier to interpret) and forecasting (parsimonious models typically deliver superior forecasting performances). Howeve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c25ea6012474ab1a1d9c8f8741a3e86d
https://doi.org/10.1016/j.ecosta.2020.10.004

Zobrazit plný text záznamu

Volunteering and Self-Assessed Health Within EU28 Countries: Evidence From the EWCS

Autor: Stefania Capecchi, Francesca Di Iorio, Nunzia Nappo

Publikováno v: Nonprofit and Voluntary Sector Quarterly. 50:93-117

The effects of voluntary activities on individual well-being have been investigated extensively in the literature. In this study, the relationship between self-assessed health and volunteering is examined from a cross-country perspective by consideri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ace3e140c697144322c2026e74c3311e
https://doi.org/10.1177/0899764020937779

Zobrazit plný text záznamu

The Italian manufacturing sector during the Covid pandemic: Some lessons for a 'new industrial policy'

Autor: Maria Letizia Giorgetti, Francesca Di Iorio

This paper analyzes the Italian manufacturing sector before and during the Covid-19 pandemic crisis.We analyze the behavior of Italian manufacturing sectors before the crisis, according to their competitiveness - the ISCO indicator, elaborated by the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9b507398e6362e06260eacfa382b9722
https://doi.org/10.54103/milanoup.73.45

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání