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.
We use a newly developed data set of 39,343 high-value patents granted between 1877 and 1918 to demonstrate that technological progress during German industrialization occurred in at least four different technological waves. We distinguish the railway wave (1877-86), the dye wave (1887-96), the chemical wave (1897)(1898)(1899)(1900)(1901)(1902), and the wave of electrical engineering . Evidence is presented that inter-industry knowledge spillovers between technologically, economically, and geographically related industries were a major source for innovative activities during German industrialization. We also show that technological change affected the geographical distribution of innovative regions. Using an index of technologically revealed comparative advantage we find that regions that increased their innovativeness during the waves of technological progress revealed special strength in technological clusters like electrical engineering, mechanical engineering, or chemicals.
Endogenous growth theory suggests that human capital formation plays a significant role for the 'wealth and poverty of nations.' In contrast to previous studies which denied the role of human capital as a crucial determinant of for really long-term growth, we confirm its importance. Indicators of human capital like literacy rates are lacking for the period of 1450-1913; hence, we use per capita book production as a proxy for advanced literacy skills. This study explains how, and to what extent, growth disparities are a function of human capital formation.3
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