36 research outputs found
Inequality of opportunity in the land of opportunities : 1968-2001
We measure inequality of opportunity for earnings acquisition in the U.S. between 1968 and 2001. Following recent theories of social justice, earnings determinants are divided into two parts: Circumstances, which are characteristics outside individual control and effort representing factors impacting earnings but under individuals’ responsibility. Equality of opportunity requires that inequality of circumstances must be corrected while differences of effort must remain unaltered. Circumstances are represented by parental education and occupation, ethnic origin, place of birth and age. Effort is modeled with schooling choices and labour supply decisions. Using the PSID from 1968 to 2001, we provide two alternative assessments of inequality of opportunity using counterfactual distributions. The statistical framework is semi-parametric and builds on duration models. Finally, we conclude that inequality of opportunity represents between 20 and 43% of earnings inequality, but decreases all over the period reaching around 18% in 2001
Handbook of Income Distribution
The evolution of income distribution over two centuries is an attractive topic because it allows one to test the inverse U-curve hypothesis using long series instead of cross-section data. In Section 1 the distribution trends in countries where global data are available, is considered, that is in four Scandinavian countries, the Netherlands, the German states and Germany, and in France. The inverse U-curve hypothesis is verified in four of them. Section 2 presents in a consistent framework, using the Theil indicator, all available information on inequality trends between agricultural and nonagricultural sectors and on inequality trends within each sector in European countries. Finally Section 3 throws light on the political and economic factors explaining the long-term evolution of distribution. The economic factors playing a key role are the market structures, the diffusion of education and saving, and dualism.
Handbook of Income Distribution
This chapter reviews various interactions between the distribution of income across individuals and factors of production on the one hand, and aggregate savings, investment, and macroeconomic growth on the other. Tractable models necessarily focus on specific causal channels within this complex web of interactions, and the survey is organized around a few relevant methodological insights. In a "neoclassical" economy where all intra- and intertemporal markets exist and clear competitively, all distributional issues should be resolved before market interactions address the economic problem of allocating scarce resources efficiently, and the dynamics of income and consumption distribution have no welfare implications. Other models, recognizing that market interactions need not maximize a hypothetical representative individual's welfare, let accumulated and nonaccumulated factors of production be owned by individuals with exogenously or endogenously different saving propensities, and feature interactions between the personal and functional distribution of resources and macroeconomic accumulation. Furthermore, rates of return to savings and investments are generally heterogeneous when they are only partially (if at all) interconnected by financial markets, as is the case in overlapping generation economies, in models with binding self-financing constraints, and in models where financial market imperfections let individual consumption flows be affected by idiosyncratic uncertainty. The chapter also reviews models where distributional tensions, far from being resolved ex ante, work their way through distortionary policies and market interactions to bear directly on both macroeconomic dynamics and income distribution. Finally, it relates theoretical insights to recent empirical work on cross-country growth dynamics and on relationships between within-country inequality and macroeconomic performance.
Handbook of Income Distribution
The analysis of inequality is placed in the context of recent developments in economics and statistics.
Handbook of Income Distribution
This paper is a review of the post-war literature on income distribution and development. It argues that the literature has cycled from one consensus to another, responding to emerging policy issues and new analysis. On the basis of the review, the paper identifies five areas that will command the attention of analysts in the coming two decades: (i) country case studies rather than cross-country regression analysis; (ii) the phenomenon of increasing inequality; (iii) different levels of disaggregation, particularly distribution between broadly defined groups; (iv) intra-household allocation; and (v) alternative modes of redistribution in face of inequality increasing tendencies.
Handbook of Income Distribution
Income and wealth inequality rose over the first 150 years of US history. They rose in Britain before 1875, especially 1740-1810. The first half of the 20th century equalized pre-fisc incomes both in Britain and in America. From the 1970s to the 1990s inequality rose in both countries, reversing most or all of the previous equalization. Government redistribution explains part but not all of the reversals in inequality trends. Factor-market forces and economic growth would have produced a similar timing of rises and falls in income inequality even without shifts in the progressivity of redistribution through government.Redistribution toward the poor tends to happen least in those times and polities where it would seem most justified by the usual goals of welfare policy.
Handbook of Income Distribution
Several empirical regularities motivate most theories of the distribution of labor earnings. Earnings distributions tend to be skewed to the right and display long right tails. Mean earnings always exceed median earnings and the top percentiles of earners account for quite a disproportionate share of total earnings. Mean earnings also differ greatly across groups defined by occupation, education, experience, and other observed traits. With respect to the evolution of the distribution of earnings for a given cohort, initial earnings dispersion is smaller than the dispersion observed in prime working years.We explore several models that address these stylized facts. Stochastic theories examine links between assumptions about the distribution of endowments and implied features of earnings distributions given assumptions about the processes that translate endowments into earnings. Selection models describe how workers choose a career. Because workers select their best option from a menu of possible careers, their allocation decisions tend to generate skewed earnings distributions. Sorting models illustrate this process in an environment where workers learn about their endowments and therefore adjust their allocation decisions over time.Human capital theory demonstrates that earnings dispersion is a prerequisite for significant skill investments. Without earnings dispersion, workers would not willingly make the investments necessary for high-skill jobs. Human capital models illustrate how endowments of wealth and talent influence the investment decisions that generate observed distributions of earnings.Agency models illustrate how wage structures may determine rather than reflect worker productivity. Tournament theory addresses the long right tails of wage distributions within firms. Efficiency wage models address differences in wages across employments that involve different monitoring technologies.
Handbook of Income Distribution
We consider the differences in income distribution between market and planned economies in two ways. First, using benchmarks from the OECD area we review evidence from the countries of Central and Eastern Europe and the former Soviet Union during the socialist period. Second, we look at the transitions currently being made by the latter. In each case we review available data and the problems they present before considering in turn: (i) the distribution of earnings of full-time employees; (ii) the distribution of individuals' per capita household incomes; and (iii) the ways in which the picture is altered by nonwage benefits from work, price subsidies and social incomes in kind. For the socialist period we are able to consider long series of data, often covering several decades, and we can thus show the changes in the picture of distribution under the socialist system. We also emphasise the diversity across the countries concerned. For the period of transition, itself incomplete, the series are inevitably shorter but we are able to avoid basing conclusions on evidence drawn from single years. The picture during transition, like that under socialism, is varied. Russia has experienced very sharp increases in measured inequality to well above the top of the OECD range. The Czech Republic, Hungary and Poland have seen more modest rises. We note the lack of a satisfactory analytic framework in the literature that encompasses enough features of the transition, a framework which would help interpretation of the evidence.