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Measuring short-term population mobility among indigenous Australians: options and implications.

"Despite the fact that indigenous Australians are known to be frequently mobile over the short term, statistical information regarding this population movement is grossly deficient.... This paper examines various means by which short-term population movement can be quantified to yield aggregate indicators of demographic impact. First, census data are used to establish the rate and pattern of inter-regional, short-term displacement. This reveals regional urban centres as net recipients of temporary residents while most rural areas experience temporary absenteeism. Secondly, results from household surveys are reported stressing the importance of including visitors to households in the estimation of service populations. Thirdly, administrative data on occupancy in urban hostels are used to derive indicators of the duration of movement."

Australia↗

Projecting average family size in rural India by the analytic hierarchy process.

"In this study, cultural, economic as well as certain crucial demographic factors are considered as the determinants for projecting the average family size in rural India.... The Analytic Hierarchy Process [is used] to analyze influences of the factors which enter implicitly in a rural couple's decision-making to determine the number of children they want to have as time goes by. [The authors] did not attempt to make distinctions among the regional differences in rural India. The outcome projected in [this] analysis compares favorably with the results of other demographic studies."

Asia↗

Multiregional demographic projections in practice: a metropolitan example.

"This paper examines options for local and regional projections which reflect both demographic interdependencies with jobs and housing at this area scale, and the inapplicability of traditional demographic projection methods to population or areal subdivisions. This context for local demographic projections requires constraints (for example, to job and housing forecasts or to higher area totals), the use of proxy or explanatory indicators to predict demographic rates or totals, and parameterization of demographic schedules, to facilitate comparison across numerous localities and to set future assumptions about demographic components. The traditional framework of self-contained projection by deterministic cohort survival is therefore widened to include regio-scientific and stochastic modelling concepts. The framework for empirical analysis is London [England] and its boroughs." (SUMMARY IN FRE AND GER)

Demography↗

Populations on the move.

"This article sets out the broad nature of population movements and changes in distribution which are taking place in the major continental areas of the Third World, while making comparisons and contrasts. It outlines the differing approaches to these movements, and the interpretations of varying ideological and disciplinary points of view. It describes contemporary practical problems and indicates possible future developments." The primary focus is on internal migration.

Demography↗

Estimating the population median by nomination sampling.

In nomination sampling, the largest values from several independent random samples (nominees) are rank ordered, and an estimate of the population median is formed by interpolating between 2 of these order statistics. The resulting estimate compares favorably to the sample median of a simple random sample from the same population. When historical data sets retain only extreme values, nomination sampling may offer the only practical way to estimate the population median. The approach may also be useful when potential survey respondents will only participate if they can actively influence the selection of cases for analysis.

Population Density↗

Reproductive response to child mortality: a maximum likelihood estimation model.

"The individual household's fertility response to an experienced child death, the replacement probability, is estimated for Brazil using a maximum likelihood estimation model.... The model allows the distribution of births, deaths, and replacement births to vary with included exogenous variables. The replacement probabilities estimated for Brazil were between .4 and .9 and varied systematically with women's education, rural-urban residence, and household electrification. Increased development was shown to be correlated with a lower number of surviving children."

Americas↗

Forecasting interstate migration with limited data: a demographic-economic approach.

"The limitations of available migration data preclude a time-series approach of modeling interstate migration [in the United States]. The method presented here combines aspects of the demographic and economic approaches to forecasting migration in a manner compatible with existing data. Migration rates are modeled to change in response to changes in economic conditions. When applied to resently constructed data on migration based on income tax returns and then compared to standard demographic projections, the demographic-economic approach has a 20% lower total error in forecasting net migration by state for cohorts of labor-force age."

Americas↗