Using age and spatial flow structures in the indirect estimation of migration streams

Raymer, James; Rogers, Andrei

doi:10.1353/dem.2007.0016

Cited by 47 publications

(39 citation statements)

References 24 publications

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“…Based on ACS data, migration between PUMAs is around 4 percent for the American population, which indicates that Veterans are less likely to migrate than non-Veterans. A previous study about interregional population flows in the United States (Raymer & Rogers, 2007) suggests that migration rates are higher among those between ages 20 and 39, which is related to labor migration. Since only 11.86 percent of Veterans were within this age range in 2014, gravity models suggest that they are more likely to migrate at older, near-retirement ages.…”

Section: Veteran Net Migrationmentioning

confidence: 92%

Current and Projected Characteristics and Unique Health Care Needs of the Patient Population Served by the Department of Veterans Affairs

Eibner¹,

Krull²,

Brown³

et al. 2015

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Section: Veteran Net Migrationmentioning

confidence: 92%

Current and Projected Characteristics and Unique Health Care Needs of the Patient Population Served by the Department of Veterans Affairs

Eibner¹,

Krull²,

Brown³

et al. 2015

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“…This spatial interaction model can also be expressed as a log-linear model with an offset (Willekens 1999). Recently, log-linear models with offsets have been used to combine information from different data sources to estimate migration (Raymer and Rogers 2007;Raymer et al , 2009Raymer et al , 2011and Smith et al 2010). proposed log-linear models with offsets to combine the UK National Health Service (NHS) migration data with the census migration flow data which permits the inclusion of a variable of interest which is only available in the NHS migration data.…”

Section: Methodsmentioning

confidence: 99%

Models for Combining Aggregate-Level Administrative Data in the Absence of a Traditional Census

Yıldız

Smith

2015

Journal of Official Statistics

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Administrative data sources are an important component of population data collection and they have been used in census data production in the Nordic countries since the 1960s. A large amount of information about the population is already collected in administrative data sources by governments. However, there are some challenges to using administrative data sources to estimate population counts by age, sex, and geographical area as well as population characteristics. The main limitation with the administrative data sources is that they only collect information from a subset of the population about specific events, and this may result in either undercoverage or overcoverage of the population. Another issue with the administrative data sources is that the information may not have the same quality for all population groups. This research aims to correct an inaccurate administrative data source by combining aggregate-level administrative data with more accurate marginal distributions or two-way marginal information from an auxiliary data source and produce accurate population estimates in the absence of a traditional census. The methodology developed is applied to estimate population counts by age, sex, and local authority area in England and Wales. The administrative data source used is the Patient Register which suffers from overcoverage, particularly for people between the ages of 20 and 50.

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“…The 'model migration schedule with an upward slope' has a linear curve for post-labour ages, instead of a parabola. Migration flows are usually modelled utilizing the 'reduced model,' because there is no evident parabola or linear function for post-labour ages (Raymer & Rogers, 2007;Rogers & Jordan, 2004).…”

Section: Modelling the Exogenous Age Pattern Of Migrationmentioning

confidence: 99%

The influence of internal migration on male earnings in Brazil, 1970-2000

Amaral

Rios-Neto

Potter

2016

Migration and Development

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This paper deals with the impact of internal migration flows on the earnings of male workers. The availability of jobs and income levels in sending and receiving areas also influences internal population flows. Thus, migration is an endogenous variable that cannot be simply introduced as an exogenous variable when estimating labour outcomes. A methodological approach is developed to introduce migration into our models, dealing with the issue of reverse causality between migration and earnings. We implement this strategy using the 1970-2000 Brazilian Demographic Censuses. Our findings reflect our initial hypothesis, indicating that migration flows have a negative impact on male earnings, when considering cohort size as a factor. A 10% increase in migration rates would have reduced the wages of competing workers by up to 3% in 2000. These methodological strategies can be applied to other countries that have similar available migration data. Public policies should take into account the levels of in-and out-migration flows in specific locations, in order to stimulate economic development in these areas.

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Using age and spatial flow structures in the indirect estimation of migration streams

Cited by 47 publications

References 24 publications

Current and Projected Characteristics and Unique Health Care Needs of the Patient Population Served by the Department of Veterans Affairs

Current and Projected Characteristics and Unique Health Care Needs of the Patient Population Served by the Department of Veterans Affairs

Models for Combining Aggregate-Level Administrative Data in the Absence of a Traditional Census

The influence of internal migration on male earnings in Brazil, 1970-2000

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