A Dual-Regime Utility Model for Poverty Analysis

This paper offers a micro-founded general definition of poverty set in the context of utility theory. Poverty and non-poverty are described as two structurally different types of local non-satiation: the former entails a strong need for further consumption and social marginalization, the latter is characterized by a weak need for further consumption and satisfactory adjustment to social expectations. Each of the states can be fully described by a separate technology of utility production. The model is tested on data from the Bank of ItalyÂ’s Survey of Household Income and Wealth; an indicator of self-reported economic satisfaction is regressed on yearly consumption of food and non-food commodities. The predictions of the model are confirmed in the case of food consumption, signalling the existence of physiological minima that are uniformly perceived by individuals. For non-food commodities, no significant change of regimes is found: welfare appears to be connected with needs that are less exposed to structural variation, possibly because they are not as urgent or objective as food-related ones.Poverty

Inequality and Happiness

This paper examines the relationship between inequality and happiness through the lens of heterogeneous values, beliefs and inclinations. Drawing upon opinion data from the European Social Survey for twenty-three countries, we find that individual views on a wide range of themes can be effectively summarized by two orthogonal dimensions: moderation and inclusiveness. The former is defined as a tendency to take mild stands on issues rather than extreme ones; the latter is defined as the degree of support for a social model that grants equal rights and opportunities to everyone who willingly subscribes to a shared set of rules, regardless of background and circumstances. These traits matter when it comes to how inequality affects subjective well-being; specifically, those who are either more moderate or more inclusive than their average compatriot tend to dislike inequality. With reference to moderation, inequality aversion can be read in terms of a desire for stability: people who are reluctant to take strong stands probably dislike conflict, tension and unrest, which normally accompany inequalities. With reference to inclusiveness, the main element at play is likely to be distress accruing to a perception of unfairness.Happiness, inequality, heterogeneity

Values, inequality and happiness

This paper examines the relationship between inequality and happiness through the lens of heterogeneous values, beliefs and inclinations. Drawing upon opinion data from the European Social Survey for twenty-three countries, we find that individual views on a wide range of themes can be effectively summarized by two orthogonal dimensions: moderation and inclusiveness. The former is defined as a tendency to take mild stands on issues rather than extreme ones; the latter is defined as the degree of support for a social model that grants equal rights to everyone who willingly subscribes to a shared set of rules, regardless of background and circumstances. These traits matter when it comes to how inequality affects subjective well-being; specifically, those who are either more moderate or more inclusive than their average compatriots prefer lower levels of inequality. In the case of moderation, inequality aversion can be read in terms of a desire for stability: people who are reluctant to take strong stands are especially wary of conflict, tension and unrest, which often go handin-hand with disparities. In the case of inclusiveness, the main element at play is likely to be distress accruing on a perception of unfairness.happiness, inequality, heterogeneity

Inequality and Happiness

This paper examines the relationship between inequality and happiness through the lens of heterogeneous values, beliefs and inclinations. Drawing upon opinion data from the European Social Survey for twenty-three countries, we found that individual views on a wide range of themes can be effectively summarized by two orthogonal dimensions: moderation and inclusiveness. The former is defined as a tendency to take mild stands on issues rather than extreme ones; the latter is defined as the degree of support for a social model that grants equal rights and opportunities to everyone who willingly subscribes to a shared set of rules, regardless of background and circumstances. These traits matter when it comes to how inequality affects subjective well-being; specifically, those who are either more moderate or more inclusive than their average compatriot tend to dislike inequality. With reference to moderation, inequality aversion can be read in terms of a desire for stability: people who are reluctant to take strong stands probably dislike conflict, tension and unrest, which normally accompany inequalities. With ref- erence to inclusiveness, the main element at play is likely to be distress accruing to a perception of unfairness.Happiness; inequality; heterogeneity

A neural network architecture for data editing in the Bank of ItalyÂ’s business surveys

This paper presents an application of neural network models to predictive classification for data quality control. Our aim is to identify data affected by measurement error in the Bank of ItalyÂ’s business surveys. We build an architecture consisting of three feed-forward networks for variables related to employment, sales and investment respectively: the networks are trained on input matrices extracted from the error-free final survey database for the 2003 wave, and subjected to stochastic transformations reproducing known error patterns. A binary indicator of unit perturbation is used as the output variable. The networks are trained with the Resilient Propagation learning algorithm. On the training and validation sets, correct predictions occur in about 90 per cent of the records for employment, 94 per cent for sales, and 75 per cent for investment. On independent test sets, the respective quotas average 92, 80 and 70 per cent. On our data, neural networks perform much better as classifiers than logistic regression, one of the most popular competing methods, on our data. They appear to provide a valid means of improving the efficiency of the quality control process and, ultimately, the reliability of survey data.data quality, data editing, binary classification, neural networks, measurement error

Exploring agent-based methods for the analysis of payment systems: a crisis model for StarLogo TNG

agent-based modeling, payment systems, RTGS, liquidity, crisis simulation Abstract: This paper presents an exploratory agent-based model of a real time gross settlement (RTGS) payment system. Banks are represented as agents who exchange payment requests, which are settled according to a set of simple rules. The model features the main elements of a real-life system, including a central bank acting as liquidity provider, and a simplified money market. A simulation exercise using synthetic data of BI-REL (the Italian RTGS) predicts the macroscopic impact of a disruptive event on the flow of interbank payments. The main advantage of agent - based modeling is that we can dynamically see what happens to the major variables involved. In our reduced-scale system, three hypothetical distinct phases emerge after the disruptive event: 1) a liquidity sink effect is generated and the participants’ liquidity expectations turn out to be excessive; 2) an illusory thickening of the money market follows, along with increased payment delays; and, finally 3) defaulted obligations dramatically rise. The banks cannot staunch the losses accruing on defaults, even after they become fully aware of the critical event, and a scenario emerges in which it might be necessary for the central bank to step in as liquidity provider. The methodology presented differs from traditional payment systems simulations featuring deterministic streams of payments dealt with in a centralized manner with static behavior on the part of banks. The paper is within a recent stream of empirical research that attempts to model RTGS with agent – based techniques.

Errori di misura nellÂ’indagine sui bilanci delle famiglie italiane

This paper is aimed at evaluating the incidence of measurement error on the main variables collected in the Bank of ItalyÂ’s Survey of Household Income and Wealth (SHIW). The results are especially relevant to researchers using the data for economic analysis, since they need to take data quality into account. Moreover, a thorough knowledge of the problems affecting the survey gives indications for improvements in its design and implementation. Where time-invariant variables are concerned, measurement error is studied by assessing the degree of inconsistency of answers given by panel households in subsequent survey waves. In the case of quantities that have an actual variation in time, such as income or wealth, the Heise (1969) model is applied; if data from at least three waves are available, we can separate the true dynamics from the noise of measurement error, under assumptions that are fairly mild. The essay also touches upon the role of fieldwork conditions, interviewer and respondent features in the determination of data quality.reddito, ricchezza, metodi campionari

Screening ethnically diverse human embryonic stem cells identifies a chromosome 20 minimal amplicon conferring growth advantage

The International Stem Cell Initiative analyzed 125 human embryonic stem (ES) cell lines and 11 induced pluripotent stem (iPS) cell lines, from 38 laboratories worldwide, for genetic changes occurring during culture. Most lines were analyzed at an early and late passage. Single-nucleotide polymorphism (SNP) analysis revealed that they included representatives of most major ethnic groups. Most lines remained karyotypically normal, but there was a progressive tendency to acquire changes on prolonged culture, commonly affecting chromosomes 1, 12, 17 and 20. DNA methylation patterns changed haphazardly with no link to time in culture. Structural variants, determined from the SNP arrays, also appeared sporadically. No common variants related to culture were observed on chromosomes 1, 12 and 17, but a minimal amplicon in chromosome 20q11.21, including three genes expressed in human ES cells, ID1, BCL2L1 and HM13, occurred in >20% of the lines. Of these genes, BCL2L1 is a strong candidate for driving culture adaptation of ES cells