2011
DOI: 10.4054/demres.2011.24.12
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A summary period measure of immigrant advancement in the U.S.

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Cited by 5 publications
(2 citation statements)
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“…Moreover, an important factor such as time since migration, quite important to understand migrant outcomes, becomes obsolete (or difficult to disentangle) when analyzing the outcomes of the children of immigrants alongside that of first-generation immigrants, as children born in the receiving country are not directly prone to such influence. Solutions to these temporal biases have been put forward in the immigration literature, with more recent efforts borrowing analytical tools from fertility research to measure first-generation immigrant advancement (Pitkin and Myers 2011) but with little to no applicability to the children of immigrants, according to the authors. Trying to find an analytically workable solution is still being debated.…”
Section: Choices and Their Implications For Researchmentioning
confidence: 99%
“…Moreover, an important factor such as time since migration, quite important to understand migrant outcomes, becomes obsolete (or difficult to disentangle) when analyzing the outcomes of the children of immigrants alongside that of first-generation immigrants, as children born in the receiving country are not directly prone to such influence. Solutions to these temporal biases have been put forward in the immigration literature, with more recent efforts borrowing analytical tools from fertility research to measure first-generation immigrant advancement (Pitkin and Myers 2011) but with little to no applicability to the children of immigrants, according to the authors. Trying to find an analytically workable solution is still being debated.…”
Section: Choices and Their Implications For Researchmentioning
confidence: 99%
“…Relying mainly on crosssectional data, these studies have reported that longer duration in US and later generations in US were associated with higher BMI, the so called ''unhealthy acculturation effects.'' As Borjas [2] and Pitkin and Myers [19] have argued, the use of cross-sectional data to analyze longitudinal trends made such studies vulnerable to the ''crosssectional fallacy. ''…”
Section: Introductionmentioning
confidence: 99%