Age-structural functions: their directionality and punctuality

What is an Age-structural Function?

    An age-structural function is a two-dimensional graphic form of an age-structural model. This function describes a range (Y-axis) of probabilities of being within a category at all points (median ages) across the age-structural domain (the X-axis of the graph). To neatly capture nearly all recent positions in the age-structural transition, now and in the foreseeable future, the standard form of this graph extends over a domain that begins at a median age of 15 years and ends at 55 years. This standardized form is not perfect. Over the course of UN Population Division (UNPD) estimates (1950 to 2015), the populations of a few states (including Niger in 2015) have experienced median ages below 15.0 years. On the high side of the domain, however, no country-level age structure has yet gone beyond a median age of 48. Nonetheless, the UN Population Division projects that Japan will reach a median age higher than 50 years before 2030, and that several European and additional East Asian countries will follow it into the post-mature phase (a median age of 45.6 or higher) soon thereafter.

Not all age-structural functions that are fit to data by an age-structural model are qualitatively similar. Age-structural functions have been categorized into three qualitative classes (I, II, III), according to the conditions associated with the age-structural function that they describe (Fig. 1). These conditions influence the form and fit of the age-structural function.[i]

These three classes suggest differences in the strength of the relationship’s directionality and punctuality. Functional directionality can also be expressed as the ratio between the frequency at which it advances into a category, relative to the frequency at which it retreats back into this category. Class I age-structural functions (such as income and education functions) express high ratios of directionality and feedback between the indicator and movement along the age structural transition (or fertility decline). Class III functions (such as the frequency of intra-state conflict or the initiation of intra-state conflict) typically express low ratios. Class II functions (such as being assessed as Free in Freedom House’s annual survey) are like class I functions, but not as directional. States backslide more often, and there may be very little feedback, if any, associated with the relationship. Functional punctuality measures the tendency for advancement to be associated with a particular median age. This quality can be measured by the steepness of the curve (i.e., value of first derivative) at its inflection point (where p=0.50). Class I age-structural functions are most punctual; class III, the least.

 

Figure 1. Three classes of age-structural function (I, II, III). Each is associated with a particular set of dynamics exhibited by states, in terms of a categorical dependent variable (Y), over the length of the age-structural domain (X axis).

 

 

 

 

 

 

 

 

 

 

 

[i] Cincotta, R. 2017. “The Age-structural Theory of State Behavior.” in Oxford Reference Encyclopedia: Empirical International Relations Theory, edited by W. Thompson. Oxford: Oxford University Press. Download here.

Majority – Minority Ethnodemographic Differences

Minority Youth Bulges and State Stability

 

Read about Ethnodemographic Differences and majority-minority relations (first posted in The New Security Beat, 2012).  Since its appearance, this two-by-two model of sub-state demographic differences has been increasingly used as a means of spotting escalating ethnic tensions and warning of future armed conflicts.

Read an application of the model (Barnhart et al., 2015, “The Refugee Crisis in the Levant”); and others by Rachel Blomquist on Myanmar’s Rohingya conflict (Fall, 2016; Spring, 2016).

 

 

Figure 1. Two-by-two sub-state model of majority-minority relations, based on the age structural configurations of the majority and a politically organized minority population. Where there is no external interference, the “demographic integration” condition is hypothesized to be the most politically stable.

 

 

Attachments

The Beginning of History: Advanced Aging and the Liberalness of Democracy

Read “The Beginning of History: Advanced Aging and the Liberalness of Democracy” by Richard Cincotta, originally published in the National Intelligence Council’s Global Trends 2030 blog in August, 2012.

Are the combined effects of population aging and immigration powerful enough to place at risk the liberal content of Europe’s democratic regimes? In this essay I’ve argue that it could; that today’s confident clusters of European and East Asian liberal democracies (states rated as “FREE” in Freedom House’s annual survey) will, as they age beyond the median age of 45 years, incur greater risks of losing elements of the political rights and civil liberties that previous generations of their citizens and political leaders worked hard to attain.

Download “The Beginning of History” here …

 

Attachments

Population Aging: A Demographic and Geographic Overview

Read “Population Aging: A Demographic and Geographic Overview” by Richard Cincotta, published in the National Intelligence Council’s Global Trends 2030 blog, and in the New Security Beat, July, 2012. Download “Population Aging: A Demographic and Geographic Overview” here …

This GT2030 blog, focused on population aging, begins with this introductory essay aimed at familiarizing readers with some of the demographic and geographic particulars of this phenomenon, and with several key demographic terms. The term most in need of definition is, of course, population aging. Strictly speaking, aging is any shift in the population’s age structure (the distribution of individuals, by age) that produces an increase in the median age (the age of the individual for whom one-half of the population is younger). Generally, advances in a population’s median age are associated with increases in the proportion of seniors (aged 65 years and older), and declines in the proportion of children (younger than 15). Sustained population aging leads to a relatively older workforce, slowed workforce growth and slowed growth among school-age children.
While various age-specific patterns of birth, death and migration can induce change in the median age, over the past century two demographic processes have contributed most powerfully to country-level population aging. First and foremost is declining fertility (fertility is usually measured by computing the total fertility rate (TFR), an immediate estimate of the number of children that women are bearing over their reproductive lifetime). The second most influential factor has been increasing longevity. Not all trends associated with modernization, however, contribute to aging. Declines in childhood mortality have served to slow aging’s pace or make it retreat, as have waves of youthful immigrants (until the immigrants themselves age) and occasio
nal baby booms.

Is an advance in the median age bad news? That depends on “where you are” the broad diversity of age structures suggested by today’s lengthy spectrum of median ages—which in 2012 stretches from around 16 years (Niger, Uganda, Mali) to around 45 (Japan, Germany). For states in the youthful phase of the age-structural transition (median age 25.4 years or less; see Figure 1), the near-term net economic, social, political outcomes of aging are overwhelmingly positive. Getting to the next next age-structural phase— the intermediate phase (25.5 to 35.4)—is crucial; it is associated with very high support ratios (working-age adults per child), diminished risk of intra-state conflict, the accumulation of human capital, and higher savings (among “saver” societies).
There are growing indications that states might develop more quickly by sustaining their intermediate phase—which, for very-low-fertility states, has been rather fleeting (for example, China recently departed the intermediate phase after entering 25 years ago). In fact, states that have achieved near-universal secondary education and sustained a lengthy period of economic prosperity and liberal-democratic stability, including the US, have done so during their population’s presence within the so-called age-structural sweet spot: starting in the their intermediate phase and finishing during the first half of the mature phase (the mature phase ranges from 35.5 to 45.4 years).

The forthcoming essays in this blog are focused “beyond the sweet spot.” It is concerned with the challenges and possible outcomes of “advanced aging”—a condition never before encountered—that will evolve in the so-called post-mature phase (median age >45.5 years) of the age structural transition. Countries approaching the end of the mature phase, most in Europe and East Asia, are accumulating large proportions of seniors, most of whom are moving out of the workforce, drawing on pensions, drawing down personal savings and other accumulated assets, and accepting transfers from their children, other relatives, and other public and non-profit sources. As they age, seniors face an increasing risk of morbidity due to chronic illness and declining physical mobility, as well as an increasing risk of poverty.

While improvements in healthcare and nutrition promise to compress the late-in-life period of high morbidity and permit the extension of workforce participation, the projected declines in the number of working-age adults per retiree (the old-age support ratio) in European and East Asian states over the coming two decades is unprecedented. These projections suggest that those states heading for a post-mature future need to deftly manipulate a full range of social and fiscal policy levers in order to mediate, and adapt to, the cost burdens that are poised to descend upon their pension and healthcare systems. Simultaneously, most of these states will likely wrestle with the challenging and politically delicate task of encouraging the reestablishment of near-replacement-level TFR.

The four age-structural phases experienced by Japan (1935, 1970, 1990, 2025 (projected).

As of 2012, only Japan and German have attained the 45-year median-age mark—and just within the past year or two. Significantly, both countries face “negative momentum”; in other words, because of several decades of annual TFRs below 1.5 children per woman and steadily increasing life expectancies, these and other very-low-fertility states are projected to continue to age for the foreseeable future—until old-age mortality dissipates their populations’ currently broad bulges of seniors and middle-agers, and fertility or migration significantly enlarges their childhood and young adult cohorts. In other words, advanced aging is not a momentary inconvenience.

By 2030, advanced aging will have spread widely through Europe (see figure 2: world maps, 2015 and 2030). Current projections by demographers at the US Census Bureau’s International Program Center (International Data Base, June 2011) suggest that the populations of 29 states (each over 1 million residents) will experience a median age over 45.0 years by 2030. Of these, the Census Bureau indicates that 26 will be located in Europe and 3 in East Asia (Japan, Taiwan and South Korea). Despite China’s rapid pace of aging, US Census Bureau projections place its 2030 median age at 43 years, very similar to the UN Population Division’s medium fertility-variant projection for the PRC. The UN Population Division, using a somewhat different set of projection assumptions to produce its medium fertility variant, projects that by 2030 this post-mature group of countries (median age >45.0 years) will consist of 19 states: 14 European, 4 East Asian (including Singapore), and Cuba.

Richard Cincotta is Demographer-in-residence at the Stimson Center in Washington, DC, and a consultant on political demography for the Woodrow Wilson Center’s Environmental Change and Security Program. From 2006-09, he served as a long-range analyst for the National Intelligence Council.

 

Minority Youth Bulges and the Future of Intrastate Conflict

Read “Minority Youth Bulges and the Future of Intrastate Conflict,” by Richard Cincotta, posted in the New Security Beat on October 13, 2011. The sub-state demographic theory of the risk of ethnoreligious conflict described in this essay has been applied to several countries. See “The Refugee Crisis in the Levant” (Barnhart et al., 2015, American U.), and The Demography of the Rohingya Conflict (Blomquist & Cincotta, 2015), and the Ethno-demographic Dyanmics of the Rohingya Conflict.

From a demographic perspective, the global distribution of intrastate conflicts is not what it used to be. During the latter half of the 20th century, the states with the most youthful populations (median age of 25.0 years or less) were consistently the most at risk of being engaged in civil or ethnoreligious conflict (circumstances where either ethnic or religious factors, or both, come into play). However, this tight relationship has loosened over the past decade, with the propensity of conflict rising significantly for countries with intermediate age structures (median age 25.1 to 35.0 years) and actually dipping for those with youthful age structures (see Figure 1 below).

Why has this relationship changed? At least two underlying trends help explain the shift:

  1. Over the last two decades, the deployment of peace support operations to countries with youthful populations has surged (described in a previous post on New Security Beat); and
  2. Ethnoreligious conflicts have gradually, though noticeably, increased among a group of states with a median age greater than 25.0 years (including Thailand, Turkey, and Russia).

Read the rest at …