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Marginal structural models
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1
Journal Article
Demography (2019) 56 (5): 1875–1897.
Published: 16 August 2019
... children’s education. Our approach emphasizes the dynamic relationship between family structure and family economic resources. Marginal structural models with inverse probability weights estimate the association of parents’ union status history with eventual financial transfers while not overcontrolling...
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Journal Article
Demography (2021) 58 (6): 2041–2063.
Published: 01 December 2021
... and individual-level data. In addition, we improve upon prior work by accounting for the dynamic relationship between local areas and individuals' health, using marginal structural models to account for changes in exposure to local income inequality. In contrast to other studies that found no significant...
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Journal Article
Demography (2020) 57 (2): 501–528.
Published: 23 March 2020
.... ( 2002 ). In whose home? Multigenerational families in the United States, 1998–2000 . Sociological Perspectives , 45 , 1 – 20 . Cole , S. R. , & Hernán , M. A. ( 2008 ). Constructing inverse probability weights for marginal structural models . American Journal of Epidemiology...
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Journal Article
Demography (2017) 54 (5): 1845–1871.
Published: 23 August 2017
... work reciprocally and dynamically over the life course to produce inequality, research has yet to address how these two pathways simultaneously shape children’s development. Using longitudinal data from the Fragile Families and Child Wellbeing Study and marginal structural models, we ask three...
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Journal Article
Demography (2006) 43 (4): 673–689.
Published: 01 November 2006
...Aaron Gullickson Abstract This article examines competing theoretical claims regarding how an individual’s education will affect his or her likelihood of interracial marriage. I demonstrate that prior models of interracial marriage have failed to adequately distinguish the joint and marginal...
Journal Article
Demography (1985) 22 (1): 133–142.
Published: 01 February 1985
...P. S. Nair Abstract Two models, hierarchical in terms of input data requirements, are proposed to estimate place-to-place gross migration flows during a specified time period. In the first, the input data required are lifetime migration flows and the marginal totals of period migration, usually...
Journal Article
Demography (1998) 35 (4): 475–487.
Published: 01 November 1998
...Kim A. Weeden Abstract I reexamine trends in the strength and structure of occupational sex segregation in the United States from 1910 to 1990. Log-multiplicative models show significant change in the association between gender and occupation. Contrary to conventional characterizations...
Journal Article
Demography (2018) 55 (1): 1–31.
Published: 30 November 2017
... for children’s test scores. We conclude that studies of child development should consider both average cumulative neighborhood exposure and the timing of this exposure. One implication of our novel approach is that it mitigates certain methodological limitations of the standard marginal structural modeling...
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Journal Article
Demography (2019) 56 (2): 525–548.
Published: 16 January 2019
...—specifically, their likelihood of graduating from high school and enrolling in postsecondary education. Using inverse probability of treatment (IPT) weighting and marginal structural models that facilitate the estimation of causal effects, I find that entries into and exits from children’s households...
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Journal Article
Demography (2023) 60 (2): 379–410.
Published: 01 April 2023
... ). To understand how young-adult unions respond to the “treatment” of childhood family instability, we use marginal structural models (MSMs). MSMs are appropriate for estimating the effects of treatments that unfold over time because they adjust for time-varying covariates that may affect and be affected by time...
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Journal Article
Demography (2022) 59 (5): 1739–1761.
Published: 01 October 2022
... weights for marginal structural models . Political Analysis , 28 , 487 – 506 . Zimring F. E. ( 2013 ). The city that became safe: New York's lessons for urban crime and its control . New York, NY : Oxford University Press . Neighborhood policing is an important aspect of urban life...
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Journal Article
Demography (2018) 55 (2): 617–642.
Published: 14 March 2018
.... , Goldscheider F. , & Speare A. Jr ( 1992 ). Feathered nest/gilded cage: Parental income and leaving home in the transition to adulthood . Demography , 29 , 375 – 388 . 10.2307/2061824 Bacak V. , & Kennedy E. H. ( 2015 ). Marginal structural models: An application...
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Journal Article
Demography (2021) 58 (2): 773–784.
Published: 01 April 2021
... course. The endogeneity of neighborhood exposures is a key methodological issue in this literature, and the analysis in HHSP built on previous studies ( Sampson et al. 2008 ; Wodtke et al. 2011 ) that tackled this issue using marginal structural models with inverse probability of treatment weighting...
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Journal Article
Demography (2022) 59 (4): 1275–1298.
Published: 01 August 2022
... S. , & Robins J. M. ( 2004 ). Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures . Statistics in Medicine , 23 , 749 – 767 . Burdick-Will J. , Ludwig J. , Raudenbush S. , Sampson R. , Sanbonmatsu...
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Journal Article
Demography (2016) 53 (6): 1905–1932.
Published: 25 October 2016
... ). The final model is also known as a marginal structural model (MSM) because after the weighting, the conditional distributions of the exposures and mediators no longer depend on the time-varying covariates (Robins and Hernán 2009 ; VanderWeele 2009 , 2015 ). Table 2 describes the distributions...
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Journal Article
Demography (2022) 59 (1): 293–320.
Published: 01 February 2022
... in upper income suburban integrated communities: The cases of Maplewood and Montclair, New Jersey . Journal of Housing Research , 20 , 127 – 139 . Cole S. R. , & Hernán M. A. ( 2008 ). Constructing inverse probability weights for marginal structural models . American Journal...
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Journal Article
Demography (2013) 50 (5): 1765–1788.
Published: 30 May 2013
..., and it is highly collinear with other dimensions of the neighborhood environment, such as aggregate family structure and residential stability, which leads to some ambiguity in the interpretation of estimated neighborhood effects. Equations ( 1 )–( 3 ) are referred to as marginal structural models...
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Journal Article
Demography (2013) 50 (2): 615–635.
Published: 17 October 2012
.... ( 2000 ). Marginal structural models and causal inference in epidemiology . Epidemiology , 11 , 550 – 560 . 10.1097/00001648-200009000-00011 Shoham-Yakubovich , I. , & Barel , V. ( 1988 ). Maternal education as a modifier of the association between low birthweight and infant...
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Journal Article
Demography (2005) 42 (1): 91–108.
Published: 01 February 2005
... , 107 – 80 . 10.2307/2983637 Quandt , R. ( 1972 ). “Methods for Estimating Switching Regressions.” . Journal of the American Statistical Association , 67 , 306 – 10 . 10.2307/2284373 Robins , J.M. ( 1999 ). “Association, Causation, and Marginal Structural Models...
Journal Article
Demography (2020) 57 (2): 577–598.
Published: 19 March 2020
... between coefficients and standard errors is 3.49 without weights and 2.75 with weights. Thus, missing data augment the uncertainty of our estimates even though it does not appear to alter their mean values. Second, the marginal structural models use two scaled weights: one correcting for attrition...
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