What's Behind the Inequality we Measure: An Investigation Using Latin American Data

The use of income distribution indicators in the economics literature has increased considerably in recent years. This work relies on household surveys from 18 LAC countries to take a step back from the use of these indicators, and explore what`s behind the numbers, and what information they convey. We find: a) that the way countries rank according to inequality measured in a conventional way is to a large extent an illusion created by differences in characteristics of the data and on the particular ways in which the data is treated; b) Our ideas about the effect of inequality on economic growth are also driven by quality and coverage differences in household surveys and by the way in which the data is treated; c) Standard household surveys in LAC are unable to capture the incomes of the richest sectors of society; so, the inequality we are able to measure is most likely a gross underestimation. Our main conclusion is that there is an important story behind each number. This story influences our judgement about how unequal countries are and about the relation between inequality and other development indicators, but it is seldom told or known. Perhaps other statistics commonly used in economics also have their own interesting story, and it might be worth trying to find out what it is.

¿Qué hay detrás de las diferencias en la desigualdad entre los países?

(Disponible en idioma inglés únicamente) En este trabajo se presentan técnicas de simulación microeconómica para analizar qué es lo que hay detrás de las diferencias en la desigualdad de un país a otro. La simulación descompone las diferencias de desigualdad de un país a otro en la importancia de las decisiones individuales, tales como la fertilidad, la elección de pareja, la participación en la fuerza laboral y la estructura del hogar, mientras que al mismo tiempo se incluye información sobre la importancia de diferentes fuentes de ingresos. La descomposición se aplica a datos de encuestas de hogares de 35 países de seis regiones del mundo. Los resultados empíricos brindan nuevas percepciones sobre los mecanismos de transmisión a través de los cuales se genera la desigualdad.

The 1990s in Latin America: Another Decade of Persistent Inequality

This paper argues that there is no country in Latin America where we can confidently say that income inequality improved during the 1990s. We document this fact for the 15 countries where comparable household surveys, covering most of the population, are available. What we observe are genuine distributive changes, which are being driven neither by differences in the characteristics of the data nor by the way in which the data is treated. In 10 of the countries, the lack of progress is driven by increases in inequality among the first nine deciles. In the remaining 5, the reason is a greater concentration among the richest 10% of the population. We also observe that in 7 countries, the dynamics among individuals with 14 years or more of schooling are the main reason why income distribution has not improved in the 1990s. However, the lack of progress in income distribution is not exclusive to this region. We compare Latin America internationally and find that, with few exceptions, inequality has increased less in this region than in developed countries and in Eastern Europe.

U.S. consumers and electronic banking, 1995-2003

The availability and variety of electronic banking technologies in the marketplace has greatly expanded in recent years. For financial institutions, e-banking technologies can speed processing, reduce costs, and help attract and retain customers. For consumers, they can save time and money and may be more convenient than more traditional ways of banking. This article draws on data from two nationwide surveys to look at consumer use of such products and services as debit cards, pre-authorized debits, and computer banking, particularly as use relates to consumer demographic characteristics and consumer perceptions. ; The data show a consistent increase in the proportion of consumers using a variety of e-banking technologies. Consumer attitudes toward e-banking generally have become more positive over time, with more consumers seeing e-banking as convenient, familiar, easy to use, and secure. The use of some technologies, particularly debit cards, has become more democratized over time, but it is still the case that most e-banking technologies tend to be used by higher income, higher asset, younger, and better educated households. ; E-banking technologies hold the promise of helping families manage their money, pay their bills on time, and avoid overextending themselves with credit. To take full advantage of them, however, consumers need to become aware of the evolving array of e-banking technologies available to them and understand how different technologies fit with their financial management needs. Financial planners and consumer educators, working with both families and financial institutions, can help the promise become a reality.Electronic funds transfers ; Internet banking

The 1990s in Latin America: Another Decade of Persistent Inequality

This paper argues that there is no country in Latin America where we can confidently say that income inequality improved during the 1990s. We document this fact for the 15 countries where comparable household surveys, covering most of the population, are available. What we observe are genuine distributive changes, which are being driven neither by differences in the characteristics of the data nor by the way in which the data is treated. In 10 of the countries, the lack of progress is driven by increases in inequality among the first nine deciles. In the remaining 5, the reason is a greater concentration among the richest 10% of the population. We also observe that in 7 countries, the dynamics among individuals with 14 years or more of schooling are the main reason why income distribution has not improved in the 1990s. However, the lack of progress in income distribution is not exclusive to this region. We compare Latin America internationally and find that, with few exceptions, inequality has increased less in this region than in developed countries and in Eastern Europe

What's Behind the Inequality We Measure: An Investigation Using Latin American Data

The use of income distribution indicators in the economics literature has increased considerably in recent years. This work relies on household surveys from 18 LAC countries to take a step back from the use of these indicators, and explore what's behind the numbers, and what information they convey. We find: a) that the way countries rank according to inequality measured in a conventional way is to a large extent an illusion created by differences in characteristics of the data and on the particular ways in which the data is treated; b) Our ideas about the effect of inequality on economic growth are also driven by quality and coverage differences in household surveys and by the way in which the data is treated; c) Standard household surveys in LAC are unable to capture the incomes of the richest sectors of society; so, the inequality we are able to measure is most likely a gross underestimation. Our main conclusion is that there is an important story behind each number. This story influences our judgement about how unequal countries are and about the relation between inequality and other development indicators, but it is seldom told or known. Perhaps other statistics commonly used in economics also have their own interesting story, and it might be worth trying to find out what it is

What Drives Differences in Inequality across Countries?

This paper presents microeconomic simulation techniques to examine what drives differences in inequality across countries. The simulation decomposes cross-country inequality differences into the importance of individual decisions, such as fertility, mating, labor force participation, and household structure, while at the same time including information on the importance of different income sources. The decomposition is applied to household survey data from 35 countries from 6 regions in the world. The empirical results provide insights into the transmission mechanisms through which inequality is generated