Stochastic projection of the population distribution in Greece

Georgakis, Giannis; Tziafetas, George N.

doi:10.1007/bf02917606

Cited by 3 publications

(2 citation statements)

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“…To the best of our knowledge, these techniques have not been applied in depth in demography. Appearances of «convex hull» in the demographic literature are sparse and arise in conjunction with linear programming solutions (f.e., Georgakis, Tziafetas, 1982), rather than as an analytic tool on its own. Wrigley and Schofield's (1981, p. 247) «demographic terrain» is similar in spirit to convex hull analysis as we conceptualize it (see also Goldstone, 1986;Galloway, 1994).…”

Section: Figurementioning

confidence: 99%

The geometry of mortality change: Convex hulls for demographic analysis

Lai

Noymer

Tai

2019

rqj

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We introduce convex hulls as a data visualization and analytic tool for demography. Convex hulls are widely used in computer science, and have been applied in fields such as ecology, but are heretofore underutilized in population studies. We briefly discuss convex hulls, then we show how they may profitably be applied to demography. We do this through three examples, drawn from the relationship between child and adult mortality (5q0 and 45q15 in life table notation). The three examples are: (i) sex differences in mortality; (ii) period and cohort differences and (iii) outlier identification. Convex hulls can be useful in robust compilation of demographic databases. Moreover, the gap/lag framework for sex differences or period/cohort differences is more complex when mortality data are arrayed by two components as opposed to a unidimensional measure such as life expectancy. Our examples show how, in certain cases, convex hulls can identify patterns in demographic data more readily than other techniques. The potential applicability of convex hulls in population studies goes beyond mortality.

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Section: Figurementioning

confidence: 99%

The geometry of mortality change: Convex hulls for demographic analysis

Lai

Noymer

Tai

2019

rqj

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“…To the best of our knowledge, these techniques have not been applied in depth in demography. Appearances of "convex hull" in the demographic literature are sparse and arise in conjunction with linear programming solutions (f.e., Georgakis and Tziafetas, 1982), rather than as an analytic tool on its own. Wrigley and Schofield's (1981, p. 247) "demographic terrain" is similar in spirit to convex hull analysis as we conceptualize it (see also Gold-stone 1986, Galloway 1994.…”

Section: A B C Dmentioning

confidence: 99%

The geometry of mortality change: Convex hulls for demographic analysis

Lai¹,

Noymer²,

Tai³

2017

Preprint

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We introduce convex hulls as a data visualization and analytic tool for demography. Convex hulls are widely used in computer science, and have been applied in fields such as ecology, but are heretofore underutilized in population studies. We briefly discuss convex hulls, then we show how they may profitably be applied to demography. We do this through three examples, drawn from the relationship between child mortality and adult survivorship (5q0 and 45p15 in life table notation). The three examples are: (i) sex differences in mortality; (ii) period and cohort differences and (iii) outlier identification. Convex hulls can be useful in robust compilation of demographic databases. Moreover, the gap/lag framework for sex differences or period/cohort differences is more complex when mortality data are arrayed by two components as opposed to a unidimensional measure such as life expectancy. Our examples show how, in certain cases, convex hulls can identify patterns in demographic data more readily than other techniques. The potential applicability of convex hulls in population studies goes beyond mortality.

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Population Redistribution towards Core Areas of Less Developed Countries, 1950-1980

Vining

1986

International Regional Science Review

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"This paper presents estimates of the rate of population redistribution to the core areas of 44 developing countries over the period 1950-80. Particular attention is given to the period 1970-80, a time during which the core areas of developed countries experienced substantial declines in their rates of net inmigration. The principal finding is that the core areas of most developing countries are still experiencing high and, in a number of cases, increasing rates of net inmigration." The author contends that "this finding confirms the developmental model of spatial concentration and dispersal and should lay to rest other explanations of deconcentration, including arguments that focus on diseconomies of absolute size in the core area or on fluctuations in the aggregate economy." The difference between the population growth rates of entire nations and of core areas is used as a measure of interregional migration. Data for the 44 countries and information on the data sources are included in appendixes.

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Stochastic projection of the population distribution in Greece

Cited by 3 publications

References 1 publication

The geometry of mortality change: Convex hulls for demographic analysis

The geometry of mortality change: Convex hulls for demographic analysis

The geometry of mortality change: Convex hulls for demographic analysis

Population Redistribution towards Core Areas of Less Developed Countries, 1950-1980

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