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Nest Logit Model
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Journal Article
Demography (2000) 37 (1): 17–27.
Published: 01 February 2000
... while paying due respect to the role of children s characteristics. The first methodological contribution of this paper is the use of a nested logit to model the residency decision. The nested logit is a less restrictive version of the multinomial logit: It selectively relaxes the assumption...
Journal Article
Demography (1988) 25 (3): 415–427.
Published: 01 August 1988
... alternative may well affect another alternative. The IIA assumption can be tested (Hausman and McFadden, 1984). If it is not supported, there are two general alternatives. One is the conditional probit model, which allows for multivariate normal correlated error terms. The other is the nested logit model...
Journal Article
Demography (2005) 42 (3): 469–496.
Published: 01 August 2005
... following welfare reform. Frey et al. 's (1996) statistical concepts, discussed later, provided a formal departure (push) and destination-choice (pull) nested logit migration-choice model for studying this process. RESEARCH DESIGN AND METHODS In a longitudinal specification of welfare-benefit "push...
Journal Article
Demography (2019) 56 (5): 1665–1692.
Published: 21 August 2019
.... However, they used a nested logit model that did not impose any ordering of the stages of choice or choice set restrictions. This model arises as a modification of the stochastic specification of the original conditional logit model, but it is not a model of behavior (Greene 2002 :725). 8 Our...
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Includes: Supplementary data
Journal Article
Demography (2011) 48 (1): 343–370.
Published: 08 February 2011
... by sample size Using the same mixed-effects linear estimation methods, several models are estimated, each one nested into the other in the sense that new variables are added to the X (1) matrix (household-level variables), while other variables are unchanged. All models are estimated for the NFHS...
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Includes: Supplementary data
Journal Article
Demography (1996) 33 (1): 82–97.
Published: 01 February 1996
... regressions of the probability that a child has established residential and financial independence since the previous sur- vey. When the data are arranged in person-year format, as described above, the logit regression can be interpreted as a discrete-hazard model (Allison 1984). We predict the child's...
Journal Article
Demography (2020) 57 (5): 1681–1704.
Published: 08 September 2020
... of the measurement model is the same for all models considered in the study. Denote by x rjk the response on the r th ( r = 1, …, p ) binary item for household j ( j = 1, …, n k ), nested within community k ( k = 1, …, K ). Then the logit of the probability of household j in community k...
Includes: Supplementary data
Journal Article
Demography (2008) 45 (3): 719–740.
Published: 01 August 2008
... (logit) models. Eq. (1) is a logit model with BMG as the response vari- able, where i indexes individuals, j indexes age, and k indexes birth cohort. The social background variables are indexed by l. logit[ ( )] .P Y xijk jk l il l = = + 1 (1) Our analytic sample contains data on 45 birth cohorts. We...
Journal Article
Demography (1985) 22 (2): 199–222.
Published: 01 May 1985
... specific factors by looking at the logit regression coefficients. A similar strategy is used in our analysis of one year mobility behavior. We test a series of nested models against each other, with the overall aim of evaluating wheth- er or not the structural variables have significant effects on mobility...
Journal Article
Demography (2021) 58 (5): 1867–1895.
Published: 01 October 2021
... to public sector employment, which is more stable during downturns. KHB analysis confirms that differences across these nested models, particularly for undocumented immigrants, are significant ( p < .05). Table 4 Logit coefficients from discrete-time models predicting involuntary job loss...
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Includes: Supplementary data
Journal Article
Demography (1998) 35 (1): 97–114.
Published: 01 February 1998
... attempt to capture the potential correlation of the error terms in the nest-leaving equations among siblings by estimating random-effects logit models, which we implement using Liang and Zeger's (1986) generalized estimating equation (GEE) method. An impor- tant advantage of this method over standard...
Journal Article
Demography (1995) 32 (2): 261–280.
Published: 01 May 1995
... variables included in the analysis. Generally the control variables showed the expected associations with adult child-parent relations. RESULTS Table 1 shows estimated odds ratios" from the ordered logit models of the frequency of visits and relationship quality. In addition to the measures of childhood...
Journal Article
Demography (1996) 33 (1): 12–23.
Published: 01 February 1996
... of reasons; this paper describes how one can control for correlations between the outcomes of repeated spells of contraceptive use. 14 1 2011 © Population Association of America 1996 1996 Unobserved Factor Baseline Category Family Planning Policy Binary Logit Model Multinomial Logit...
Journal Article
Demography (2021) 58 (3): 1039–1064.
Published: 01 June 2021
... be netted out. Socioeconomic disparities in campus social contexts are consequential for inequality in degree attainment only if campus social context has enduring effects on student outcomes beyond other factors. Table 4 , which presents results from a series of nested multinomial logit models...
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Includes: Supplementary data
Journal Article
Demography (2010) 47 (1): 227–247.
Published: 01 February 2010
... nonparticipation and found similar results. Although independence from irrelevant alternatives (IIA) tests for all transitions generally do not reject, we investigated estimating nested logit models (NLM) that would relax this assumption. Unfortunately, we could not ¿ nd choice-based attributes or instruments...
Journal Article
Demography (2014) 51 (5): 1729–1753.
Published: 12 September 2014
... probability models (e.g., those using a logit link) because the change in the mediated coefficient (e.g., race) is influenced not only by the mediators (e.g., childhood background) but also by a rescaling of the logit coefficients in relation to the error variance. The Karlson-Holm-Breen (KHB) method...
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Journal Article
Demography (1990) 27 (2): 219–232.
Published: 01 May 1990
... and color. I then present logit regression models of household headship and draw out the implications of these models for change and for sex-color differentials in headship. Change in Household Headship, 1970-1985 Table 1 presents headship rates for unmarried individuals, by sex and color, from 1970 to 1985...
Journal Article
Demography (2014) 51 (6): 2155–2178.
Published: 25 November 2014
... of the incidental parameters problem (Greene 2009 ; Lancaster 2000 ). The conditional logit can be used to estimate a nonlinear binary choice model with fixed effects captured in a sufficient statistic that conditions the likelihood function, similar to how fixed effects are differenced out in a linear model...
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Journal Article
Demography (2019) 56 (1): 75–102.
Published: 04 January 2019
... that they can be nested with a conventional multinomial model. In other words, a conventional multinomial model can be rewritten as a conditional logit model but not vice versa. 3 As noted in Table 2 , our sample is approximately three-fifths female, which is likely related to the substantially higher...
Journal Article
Demography (1990) 27 (1): 65–79.
Published: 01 February 1990
... are strong candidates for logit analysis. The models in this article are estimated by mixed-variable linear logistic regressions, involving dummy, discrete, and continuous independent variables and dichot- omous response variables (see Bishop, Fienberg, & Holland 1975).5 The causal relationship between...
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