Investment Employment And Income Distribution

First published in 1988. Most of the articles reprinted in this collection were based on material developed for the author’s students in order to assist them in understanding the theories of Michal Kalecki, John Maynard Keynes and Joan Robinson. Each article is self-contained, but together the articles provide an introduction to the important contributions of these three economists that also makes clear the interrelations between their theories. The treatment of their theories in these articles is sympathetic, but not uncritical.

Distribution analysis has advanced remarkably in recent years, and this is a valuable application of its principles to a Canadian context. The book provides an extensive survey of recent literature and a new source of income and wealth distribution data for Ontario, drawn from newly available microdata sets. It also presents an evaluation of the data as a basis for measuring inequality in the distribution of economic and well-being. The empirical results illustrate how incomes vary significantly with age according to labour market attachment and experience, educational attainment and occupation, transfer receipts, and investment benefits. Similarly, strong age effects on net worth account reflect life-cycle patterns in asset holdings and debts typically associated with family investment in housing and financial adjustments for retirement. Differences in family size and composition have a substantial effect on the structure of family economic well-being. The inequality effects of adjusting for accrued capital gains and net worth holdings can also be quite significant. It is found that the distributional effects of CPP net benefits are considerable, although they are not as equalizing as one may have expected because of marked cohort effects. The detailed findings suggest that the life-cycle framework is a very useful one for evaluating the distributional effects of certain government programs, particularly intertemporal ones, and they underline the need for a range of different types of policies to address low income problems. The study urges greater recognition of the inequality of treatment and opportunity among different groups of the population. It also points out that conventional income distribution figures are only very imperfect estimates of the state of inequality in the underlying distribution of economic well-being.

"Cline also finds that trade liberalization has tended to raise skilled wages rather than reduce unskilled wages. Moreover, its impact has probably been no larger than falling transport and communication costs. Most importantly for policy, model simulations for the future show more limited trade impact than in the past and little unequalizing impact of further trade liberalization. Book jacket."--Jacket.

Whilst there is widespread agreement about the goals of economic policy, consensus about how best to achieve them can be harder to achieve. No issues are more contentious than employment and income distribution. In recent years full employment and a just distribution of incomes have been downgraded as policy objectives, as greater priority has been given to price stability and balance of payments objectives. This emphasis has been supported by a mainstream economic theory which has an unswerving belief in the ability of market forces to achieve a satisfactory regulation of employment and income distribution Other economists have remained more sceptical, and none more so than Kurt Rothschild. This new volume collects together his twenty two most important essays in the area, many of which are appearing in English for the first time. Throughout pure theory is linked to relevant practical investigations.

This paper analyzes the extent of income inequality from a global perspective, its drivers, and what to do about it. The drivers of inequality vary widely amongst countries, with some common drivers being the skill premium associated with technical change and globalization, weakening protection for labor, and lack of financial inclusion in developing countries. We find that increasing the income share of the poor and the middle class actually increases growth while a rising income share of the top 20 percent results in lower growth—that is, when the rich get richer, benefits do not trickle down. This suggests that policies need to be country specific but should focus on raising the income share of the poor, and ensuring there is no hollowing out of the middle class. To tackle inequality, financial inclusion is imperative in emerging and developing countries while in advanced economies, policies should focus on raising human capital and skills and making tax systems more progressive.

This volume develops original methods of analyzing biased technological progress in the theory and empirics of economic growth and income distribution. Motivated by sharp increases in wage and income inequalities in the world since the beginning of the new century, many macroeconomists have begun to realize the importance of biased technological changes. However, the comprehensive explanations have not yet appeared. This volume analyzes the effects of factor-biased technological progress on growth and income distribution and shows that long-run trends of the capital-income ratio and capital share of income consistent with Piketty’s 2014 empirical results emerge. Incorporating the modified version of induced innovation theory into the standard neoclassical growth model, it also explains the long-run fluctuations of growth and income distribution consistent with the data shown in Piketty. Introducing a wage-setting function, the neoclassical growth model is modified to account for unemployment as well as to examine the dynamics of unemployment and the labor share of income under biased technological progress. Applying a new econometric method to Japanese industrial data, the authors test the key assumptions employed and important results derived in the theoretical part of this book.

Income distribution may be related to fundamentals affecting economic growth and to labor market policies. Noting that inequality is affected by unemployment. This paper presents a model in which labor market policies affect unemployment which in turn affects inequality. The model also includes the effects of changes in per capita income on inequality through the accumulation of physical capital and technological know–how. When a resulting reduced–form relationship is estimated, its explanatory power is surprisingly high: on average, it explains about three quarters of the variation in inequality measures for the OECD countries, and Granger Causality tests confirm the model’s predictions.