Measurement Error in the Bank of Italy's Survey of Household Income and Wealth

Measurement Error in the Bank of Italy's Survey of Household Income and Wealth
Author: Claudia Biancotti
Publisher:
Total Pages: 0
Release: 2008
Genre:
ISBN:

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 households in subsequent survey waves. For quantities that vary with time, we estimate the incidence of measurement error by decomposing observed variability into true dynamics and error-induced noise. We apply the Heise model or the latent Markov model, depending on whether the data are continuous or categorical. We also present regression models that explain the error-generating process. Our results are relevant to researchers who use SHIW data for economic analysis, but also to data producers involved in similar income and wealth surveys. The methods we describe and test can be employed in a number of contexts to gain better understanding of data-related problems and plans for survey improvement.

Survey Data Collection and Integration

Survey Data Collection and Integration
Author: Cristina Davino
Publisher: Springer Science & Business Media
Total Pages: 158
Release: 2012-09-28
Genre: Business & Economics
ISBN: 3642213073

Statistical surveys represent an important source of scientific knowledge and a valid decision support tool in many fields, from social studies to economics, market research, health studies, and others. Scientists have tackled most of the methodological issues concerning surveys and the scientific literature offers excellent proposals for planning and conducting surveys. Nevertheless, surveys often require the achievement of aims that either deviate from the methodology or do not have a specific solution at all. This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinion questionnaire design, and statistical estimation. Formal rigour and simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested in scientific developments in the survey field.

Statistical Learning of Complex Data

Statistical Learning of Complex Data
Author: Francesca Greselin
Publisher: Springer Nature
Total Pages: 201
Release: 2019-09-06
Genre: Mathematics
ISBN: 3030211401

This book of peer-reviewed contributions presents the latest findings in classification, statistical learning, data analysis and related areas, including supervised and unsupervised classification, clustering, statistical analysis of mixed-type data, big data analysis, statistical modeling, graphical models and social networks. It covers both methodological aspects as well as applications to a wide range of fields such as economics, architecture, medicine, data management, consumer behavior and the gender gap. In addition, it describes the basic features of the software behind the data analysis results, and provides links to the corresponding codes and data sets where necessary. This book is intended for researchers and practitioners who are interested in the latest developments and applications in the field of data analysis and classification. It gathers selected and peer-reviewed contributions presented at the 11th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2017), held in Milan, Italy, on September 13–15, 2017.

Cross-National Comparative Research Using Panel Surveys

Cross-National Comparative Research Using Panel Surveys
Author: James P. Smith
Publisher: Univ of Wisconsin Press
Total Pages: 239
Release: 2010-03-01
Genre: Business & Economics
ISBN: 029923763X

This special issue revises and expands on presentations given at a conference on comparative research using international panel surveys held in Ann Arbor, Michigan. Five of the articles explicitly or implicitly examine international differences in savings behavior and wealth accumulation. The final two articles use international comparisons to assess the status of young children.

Missing Data Methods

Missing Data Methods
Author: David M. Drukker
Publisher: Emerald Group Publishing
Total Pages: 352
Release: 2011-11-23
Genre: Business & Economics
ISBN: 1780525249

Contains 16 chapters authored by specialists in the field, covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian Analysis of Multivariate Sample Selection Models Using Gaussian Copulas; and, Consistent Estimation and Orthogonality.

Italian Households' Saving and Wealth During the Crisis

Italian Households' Saving and Wealth During the Crisis
Author: Laura Bartiloro
Publisher:
Total Pages: 31
Release: 2013
Genre:
ISBN:

This paper investigates trends in Italian households' saving and wealth in the last twenty years, with a special emphasis on the period immediately following the financial crisis in 2008. The analysis is based on data from the Italian Survey on Household Income and Wealth (1991-2010. The crisis has intensified the trends already under way, as confirmed by the further decline in the saving rate and the deterioration in the financial situation of low-income households, young people and tenants. Overall inequality in wealth distribution has increased. Poverty indicators based on income and wealth summarize these developments: in 2010 nine per cent of Italian households were on a low income and in the event of job loss, had sufficient financial asset to survive at the poverty line for barely six months. This percentage increases to 15 per cent for young people and to 26 per cent for tenants.

Preparing for an Aging World

Preparing for an Aging World
Author: National Research Council
Publisher: National Academies Press
Total Pages: 326
Release: 2001-06-26
Genre: Social Science
ISBN: 0309170877

Aging is a process that encompasses virtually all aspects of life. Because the speed of population aging is accelerating, and because the data needed to study the aging process are complex and expensive to obtain, it is imperative that countries coordinate their research efforts to reap the most benefits from this important information. Preparing for an Aging World looks at the behavioral and socioeconomic aspects of aging, and focuses on work, retirement, and pensions; wealth and savings behavior; health and disability; intergenerational transfers; and concepts of well-being. It makes recommendations for a collection of new, cross-national data on aging populationsâ€"data that will allow nations to develop policies and programs for addressing the major shifts in population age structure now occurring. These efforts, if made internationally, would advance our understanding of the aging process around the world.

Advances in Latent Variables

Advances in Latent Variables
Author: Maurizio Carpita
Publisher: Springer
Total Pages: 284
Release: 2015-04-01
Genre: Mathematics
ISBN: 3319029673

The book, belonging to the series “Studies in Theoretical and Applied Statistics– Selected Papers from the Statistical Societies”, presents a peer-reviewed selection of contributions on relevant topics organized by the editors on the occasion of the SIS 2013 Statistical Conference "Advances in Latent Variables. Methods, Models and Applications", held at the Department of Economics and Management of the University of Brescia from June 19 to 21, 2013. The focus of the book is on advances in statistical methods for analyses with latent variables. In fact, in recent years, there has been increasing interest in this broad research area from both a theoretical and an applied point of view, as the statistical latent variable approach allows the effective modeling of complex real-life phenomena in a wide range of research fields. A major goal of the volume is to bring together articles written by statisticians from different research fields, which present different approaches and experiences related to the analysis of unobservable variables and the study of the relationships between them.