Generational Economics and the National Transfer Accounts

Abstract

This article provides a comprehensive picture of the National Transfer Accounts (NTA), a project that aims at measuring how people produce, consume, save, and share economic resources at every age. It stands today with a unique dataset that includes 47 countries from around the world, permitting a comparative understanding of economic flows within and between generations and over time.

A Harmonized Dataset on Global Educational Attainment Between 1970 and 2060 – An Analytical Window Into Recent Trends and Future Prospects in Human Capital Development

“…the elderly and those who have left school just a few years ago. The difference in the composition of age structures plays an important in intergenerational accounting as shown for instance by D'albis and Moosa (2015). In this section, we will look at the generational gap comparing principally the population aged 30–34 years and those aged 60–64 years, judging from the MYS for both age groups.…”

Financing the Consumption of the Young and Old in France

“…This information gap encourages us to develop attribution tools that are less accurate than if public transfers had been continuously observed on an individual basis in all waves. In general, the lack of data also leads us to apply a common sharing rule for the consumption of goods and services inside the household, which might not always correspond to reality (see d'Albis and Moosa , for a more detailed discussion of this criticism).…”

Understanding Demographic Dividends in Africa: The Nta Approach

“…d'Albis and Moosa (2015) analyze the typical NTA limitations and challenges that researchers face when constructing labor income and consumption age profiles. Here, below are some limitations and challenges NTA researchers face in Africa.…”

“…In this paper, we use the approach developed by Mason and Lee (2006, 2012) and d'Albis and Moosa (2015) to measure the support ratio and to assess the effects of changes in a population's age structure on economic growth in African countries. We find that incorporating the estimated economic life cycle into the analysis of the support ratio allows for a more refined estimate of these effects and provides the means to assess how economic policies can influence the support ratio and the magnitude of the first demographic dividend.…”