| Literature DB >> 12267858 |
Abstract
"Levels of fertility among Indochinese refugees in the United States are explored in the context of a highly compressed demographic transition implicit in the move from high-fertility Southeast Asian societies to a low-fertility resettlement region. A theoretical model is developed to explain the effect on refugee fertility of social background characteristics, migration history and patterns of adaptation to a different economic and cultural environment controlling for marital history and length of residence in the U.S." The chief source for the data and analyses is the Indochinese Health and Adaptation Research Project (IHARP), San Diego State University. "Multiple regression techniques are used to test the model which was found to account for nearly half of the variation in refugee fertility levels in the United States. Fertility is much higher for all Indochinese ethnic groups than it is for American women; the number of children in refugee families is in turn a major determinant of welfare dependency. Adjustments for rates of natural increase indicate a total 1985 Indochinese population of over one million, making it one of the largest Asian-origin populations in the United States." excerptEntities:
Keywords: Acculturation; Americas; Asia; Cultural Background; Culture; Data Analysis; Demographic Factors; Demographic Transition; Developed Countries; Developing Countries; Differential Fertility; Economic Conditions; Economic Factors; Ethnic Groups; Family And Household; Family Characteristics; Family Size; Fertility; Financial Activities; Financing, Government; Geographic Factors; Macroeconomic Factors; Migrants; Migration--history; Minority Groups; Models, Theoretical; Natural Increase; Nonmigrants; North America; Northern America; Population; Population Characteristics; Population Dynamics; Population Growth; Population Size; Public Assistance; Refugees; Research Methodology; Research Report; Residence Characteristics; Residential Mobility; Settlement And Resettlement; Social Change; Socioeconomic Factors; Southeastern Asia; Spatial Distribution; Statistical Regression; Statistical Studies; United States
Mesh:
Year: 1986 PMID: 12267858
Source DB: PubMed Journal: Int Migr Rev ISSN: 0197-9183