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  <title>Going Home After Hurricane Katrina: Determinants of Return Migration and Changes in Affected Areas</title>
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    Hurricane Katrina, which struck the Gulf Coast in August 2005, has had lasting and far-reaching effects. Katrina caused massive flooding in New Orleans and catastrophic damage along the Gulf coasts of Louisiana, Mississippi, and Alabama. Before making landfall and in its wake, Katrina caused one of the largest and most abrupt relocations of people in U.S. history: approximately 1.5 million people aged 16 years and older evacuated from their homes (Groen and Polivka 2008b). Katrina was responsible for an estimated $96 billion of property damage (The White House 2006) and more than 1,800 deaths (Knabb, Rhome, and Brown 2005), making it the costliest and one of the deadliest hurricanes ever to strike the United 
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  <title>The Spatial Dynamics of Stratification: Metropolitan Context, Population Redistribution, and Black and Hispanic Homeownership</title>
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    In spite of increased minority suburbanization and the favorable lending and regulatory environment that bolstered minority homeownership during the 1990s (Bostic and Surette 2001; Freeman 2005; Freeman and Hamilton 2004), racial and ethnic inequality in homeownership remained stubbornly high.1 There is also ample reason to expect that inequality has widened with the recent U.S. housing crisis, as minorities were disproportionately represented among subprime mortgages. This persistent inequality is troublesome because homeownership is a central dimension of well-being and the centerpiece of wealth, representing the single largest asset for most households. Owning a home provides important financial and nonfinancial 
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  <title>The Residential Segregation of Mixed-Nativity Married Couples</title>
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    Assimilation has traditionally been conceived as the process by which people and groups acquire shared memories and values, and thus a common culture (Park and Burgess 1921). Milton Gordon, in his well-known Assimilation in American Life (1964), provided an analytical synthesis of assimilation theory and concepts. He argued that the assimilation process first involves &amp;#x22;acculturation,&amp;#x22; wherein minority group members adopt the cultural patterns of the host society; this process is followed by &amp;#x22;structural assimilation,&amp;#x22; which entails minority integration into primary groups and institutions, such as through close friendships and intermarriage. Contemporary assimilation theorists emphasize that assimilation need not be 
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<item rdf:about="https://muse.jhu.edu/article/405087">
  <title>Do Siblings' Fertility Decisions Influence Each Other?</title>
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    Studies on fertility timing in developed countries give a strong explanatory role to individual life course transitions. These include such transitions as the end of educational enrollment, the start of or a change in career, geographical mobility, and transitions related to entry into and exit from marital and nonmarital coresidential partnerships. The postponement of and increasing variability in some of these processes has often been associated with the observed delay in childbearing. To account for fertility preferences in general, family background variables&amp;#x2014;or more generally, early life experiences&amp;#x2014;constitute key indicators (Axinn, Clarkberg, and Thornton 1994). However, individuals&amp;#39; fertility behavior 
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<item rdf:about="https://muse.jhu.edu/article/405088">
  <title>Gender and Migration from Albania</title>
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    Acentral feature of the complex relationship between gender and migration is the shifting sex composition of international migration (Castles and Miller 2003; Cerrutti and Massey 2001; Donato 1993). Although women compose roughly one-half of the world&amp;#39;s international migrant population (Zlotnik 1999), the proportion varies considerably by region; and in some countries (such as the Philippines, Sri Lanka, and Indonesia), the majority of recent emigrants are female (Martin 2007; United Nations 2006). In addition to this variability across societies, substantial heterogeneity also exists within societies over time. The most common trend is one in which migration is primarily male at the onset and then becomes 
    ... &#x3C;a href="https://muse.jhu.edu/article/405094"&#x3E;Read More&#x3C;/a&#x3E;
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<item rdf:about="https://muse.jhu.edu/article/405089">
  <title>Family Life Course Transitions and Rural Household Economy During China's Market Reform</title>
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    Why have some rural households prospered, while others have seen their economic fortunes stagnate or decline, during China&amp;#39;s recent era of economic liberalization and growth? At the individual and household level, much attention has been focused on human and political capital as resources for economic mobility, especially because they provide advantages for starting businesses or accessing wage employment (Bian and Logan 1996; Nee 1996; Parish and Michelson 1996; Walder 2002). At the regional and community level, research emphasizes a range of mechanisms, such as the varied pace and disparities in rural industrial expansion, public investment in infrastructure, and openness to foreign investment (Cai, Wang, and Du 
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<item rdf:about="https://muse.jhu.edu/article/405091">
  <title>Standardization of Pathways to Adulthood?: An Analysis of Dutch Cohorts Born Between 1850 and 1900</title>
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    During the twentieth century, the life courses of young adults in Western societies have undergone fundamental change (Mayer 2004). Among cohorts born in the first half of the twentieth century, events that mark the transition to adulthood&amp;#x2014;leaving home, marriage, and entry into parenthood&amp;#x2014;occurred at increasingly earlier ages; comparatively, among cohorts born in the second half of that century, an opposite trend could be observed. In addition, among cohorts born in the first half of the twentieth century, a trend toward standardization of the life course could be witnessed, in the sense that the life courses of young adults became increasingly similar to one another; a process of destandard ization became apparent 
    ... &#x3C;a href="https://muse.jhu.edu/article/405094"&#x3E;Read More&#x3C;/a&#x3E;
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  <title>Unhealthy and Uninsured: Exploring Racial Differences in Health and Health Insurance Coverage Using a Life Table Approach</title>
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    Forty-six million individuals in the United States did not have health insurance coverage in 2008 (DeNavas-Walt, Proctor, and Smith 2009), and wide racial and ethnic disparities exist in the proportion uninsured (Institute of Medicine 2001b:98; U.S. Department of Health and Human Services 2000). The consequences of being uninsured are well documented; compared with those who have health insurance, the uninsured more frequently go without needed medical care; receive lower quality care; and as a result, have worse health (Ayanian et al. 2000; Ayanian et al. 1993; Hadley 2003; Institute of Medicine 2001a, 2002a; Osteen et al. 1994; Roetzheim et al. 1999). Being uninsured also poses serious financial threats to 
    ... &#x3C;a href="https://muse.jhu.edu/article/405094"&#x3E;Read More&#x3C;/a&#x3E;
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  <title>Obtaining Multistate Life Table Distributions for Highly Refined Subpopulations from Cross-Sectional Data: A Bayesian Extension of Sullivan's Method</title>
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    Multistate life table methods are used in demography to estimate the length of remaining life that individuals can expect to live in different states, such as healthy versus unhealthy states, married versus unmarried states, and so on. One of the most common applications has been the estimation of healthy life expectancy (HLE): the length or proportion of remaining life spent free from disability, chronic disease, or other health problem. A specific focus of multistate methods has been to estimate active life expectancy (ALE), which is the length of life spent free from physical limitations. To date, the method most often used to estimate ALE has been Sullivan&amp;#39;s (1971) method, which is not a true multistate method 
    ... &#x3C;a href="https://muse.jhu.edu/article/405094"&#x3E;Read More&#x3C;/a&#x3E;
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  <g:news_source>Obtaining Multistate Life Table Distributions for Highly Refined Subpopulations from Cross-Sectional Data: A Bayesian Extension of Sullivan's Method</g:news_source>
  <g:publish_date>2010-12-11</g:publish_date>
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  <dc:title>Obtaining Multistate Life Table Distributions for Highly Refined Subpopulations from Cross-Sectional Data: A Bayesian Extension of Sullivan's Method</dc:title>
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  <title>Acknowledgment of Reviewers</title>
  <link>https://muse.jhu.edu/article/405094</link>
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    The Editors of Demography depend heavily on the judgment of outside reviewers in selecting manuscripts for publication. We thank our colleagues for their contribution to this process. The following persons served as referees during the period October 1, 2009, to September 30, 2010.Joyce AbmaKatharine AbrahamRan AbramitzkyDolores Acevedo-GarciaGregory AcsJimi AdamsRobert AdelmanVictor AgadjanianMyriam AgnoliEmily AgreeYoko AkachiIlana AkreshRafael AlarconRichard AlbaLeontine AlkemaPaul AllisonSiwan AndersonGunnar AnderssonGustavo AngelesPhilip AnglewiczCally ArdingtonLaura ArgysElizabeth AriasJos&amp;#xE9; M&amp;#xAA; ArranzAlison AughinbaughSarah AvellarRoger AveryChristine BachrachStanley BaileyDeborah BalkAkinrinola BankoleKaushik 
    ... &#x3C;a href="https://muse.jhu.edu/article/405094"&#x3E;Read More&#x3C;/a&#x3E;
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  <g:publish_date>2010-12-11</g:publish_date>
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  <dcterms:issued>2010-12-11</dcterms:issued>
  <dcterms:created>2010</dcterms:created>
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