We investigate whether income inequality affects subsequent growth in a cross-country sample for 1965-90, using the models of Barro (1997), Bleaney and Nishiyama (2002) and Sachs and Warner (1997), with negative results. We then investigate the evolution of income inequality over the same period and its correlation with growth. The dominating feature is inequality convergence across countries. This convergence has been significantly faster amongst developed countries. Growth does not appear to influence the evolution of inequality over time. Outline

https://www.econstor.eu/bitstream/10419/81822/1/02-28.pdf

Economic growth and income inequality

Being taller is associated with enhanced longevity, and higher education and earnings. We reanalysed 1472 population-based studies, with measurement of height on more than 18.6 million participants to estimate mean height for people born between 1896 and 1996 in 200 countries. The largest gain in adult height over the past century has occurred in South Korean women and Iranian men, who became 20.2 cm (95% credible interval 17.5–22.7) and 16.5 cm (13.3–19.7) taller, respectively. In contrast, there was little change in adult height in some sub-Saharan African countries and in South Asia over the century of analysis. The tallest people over these 100 years are men born in the Netherlands in the last quarter of 20th century, whose average heights surpassed 182.5 cm, and the shortest were women born in Guatemala in 1896 (140.3 cm; 135.8–144.8). The height differential between the tallest and shortest populations was 19-20 cm a century ago, and has remained the same for women and increased for men a century later despite substantial changes in the ranking of countries.

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A century of trends in adult human height

In the epidemiological literature, the fetal origins hypothesis associated with David J. Barker posits that chronic, degenerative conditions of adult health, including heart disease and type 2 diabetes, may be triggered by circumstance decades earlier, in utero nutrition in particular. Economists have expanded on this hypothesis, investigating a broader range of fetal shocks and circumstances and have found a wealth of later-life impacts on outcomes including test scores, educational attainment, and income, along with health. In the process, they have provided some of the most credible observational evidence in support of the hypothesis. The magnitude of the impacts is generally large. Thus, the fetal origins hypothesis has not only survived contact with economics, but has flourished.

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Killing Me Softly: The Fetal Origins Hypothesis.

Citizen and subject: contemporary Africa and the legacy of late colonialism

This chapter seeks to set out what Economists have learned about the effects of early childhood influences on later life outcomes, and about ameliorating the effects of negative influences. We begin with a brief overview of the theory which illustrates that evidence of a causal relationship between a shock in early childhood and a future outcome says little about whether the relationship in question biological or immutable. We then survey recent work which shows that events before five years old can have large long term impacts on adult outcomes. Child and family characteristics measured at school entry do as much to explain future outcomes as factors that labor economists have more traditionally focused on, such as years of education. Yet while children can be permanently damaged at this age, an important message is that the damage can often be remediated. We provide a brief overview of evidence regarding the effectiveness of different types of policies to provide remediation. We conclude with a list of some of (the many) outstanding questions for future research. Hard-copy subscribers may access the tables for this paper here.

Human Capital Development Before Age Five

Age data frequently display excess frequencies at attractive numbers, such as multiples of five. We use this "age heaping" to measure cognitive ability in quantitative reasoning, or "numeracy". We construct a database of age heaping estimates with exceptional geographic and temporal coverage, and demonstrate a robust correlation of literacy and numeracy, where both can be observed. Extending the temporal and geographic range of our knowledge of human capital, we show that Western Europe had already diverged from the East and reached high numeracy levels by 1600, long before the rise of mass schooling or the onset of industrialization.

https://papers.ssrn.com/sol3/Delivery.cfm/DP7277.pdf?abstractid=1405074&mirid=3

Quantifying Quantitative Literacy: Age Heaping and the History of Human Capital

This study offers the first anthropometric estimates of the biological standard of living in Europe during the first millennium AD, and extends the literature on the second millennium. The overall picture drawn from our data is one of stagnant heights. There was no large-scale progress in European nutritional status over the period studied, not even for the period between 1000 and 1800, for which recent GDP per capita estimates indicate increasing development. We find that heights stagnated in Central, Western and Southern Europe during the Roman imperial period, while astonishingly increasing in the fifth and sixth centuries. Noteworthy also is the similarity of height development in the three large regions of Europe. In an exploratory regression analysis of height determinants, population density turns out to have been an economically (not statistically) significant and negative factor, indicating the relevance of decreasing marginal product theories and Malthusian theory for the pre-1800 period. Of marginal significance, however, were climate (warmer temperatures being favourable for a good nutritional status), social inequality and gender inequality (both reducing average height). Lastly, we also discuss the limitations of our approach. I« Main questions How did the standard of living in Europe develop in the very long run? In this study, we distinguish the biological standard of living (which includes important elements of the human utility function such as health, longevity, and quality of nutrition) from purchasing power-oriented standard of living components.1 For our analysis, which covers (mostly skeletonbased) height measurements from 9,477 individuals, adult stature was used as a proxy for the biological components stated above. Out of these individual measurements, however, some were published in aggregated form by previous investigators and excavators, with each aggregate figure comprising between one and 360 individuals. Thus, the total number of height estimates available to us was 2,974.

https://www.econstor.eu/bitstream/10419/47594/1/574888918.pdf

The biological standard of living in Europe during the last two millennia

The contributions included in this issue celebrate the 22d-year anniversary of the fall 1982 issue of Social Science History (vol. 6, no. 4) devoted to “Trends in Nutrition, Labor Welfare, and Labor Productivity.” The guest editors then were Robert Fogel and Stanley Engerman, and all but one of the eight contributions were dedicated to anthropometric history (Fogel and Engerman 1982; Fogel et al. 1982; Floud and Wachter 1982; Friedman 1982;Margo and Steckel 1982; Sokoloff and Villaflor 1982; Tanner 1982). The issue had a considerable impact on the fledgling field of anthropometric history, even if a few publications preceded it in other journals (Fogel et al. 1978; Steckel 1979; Trussell and Steckel 1978). The editor of Social Science History at the time, James Q. Graham, hoped to expand the exploration of human heights and their economic and social correlates. He was one of the few journal editors convinced early on that such an agenda fit well into an interdisciplinary historical perspective.

Looking Backward and Looking Forward: Anthropometric Research and the Development of Social Science History

Age data frequently display excess frequencies at round or attractive ages, such as even numbers and multiples of five. This phenomenon of age heaping has been viewed as a problem in previous research, especially in demography and epidemiology. We see it as an opportunity and propose its use as a measure of human capital that can yield comparable estimates across a wide range of historical contexts. A simulation study yields methodological guidelines for measuring and interpreting differences in age heaping, while analysis of contemporary and historical datasets demonstrates the existence of a robust correlation between age heaping and literacy at both the individual and aggregate level. To illustrate the method, we generate estimates of human capital in Europe over the very long run, which support the hypothesis of a major increase in human capital preceding the industrial revolution.

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https://www.econstor.eu/bitstream/10419/26263/1/559087020.PDF

Joerg Baten

Papers

Quantifying Quantitative Literacy: Age Heaping and the History of Human Capital

The biological standard of living in Europe during the last two millennia

Looking Backward and Looking Forward: Anthropometric Research and the Development of Social Science History

Quantifying Quantitative Literacy: Age Heaping and the History of Human Capital

Global trends in numeracy 1820–1949 and its implications for long-term growth