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Probit Regression
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Journal Article
Demography (2002) 39 (4): 655–674.
Published: 01 November 2002
... in response to black schoolchildren. I explore the “Latino-flight” hypothesis using data from the National Educational Longitudinal Study and a recently released confidential data set from the National Center for Educational Statistics. In probit regressions for the probability of Latinos attending private...
Journal Article
Demography (2017) 54 (2): 721–743.
Published: 09 March 2017
... beyond the originally proposed linear and probit regression models to incorporate all generalized linear models, as well as nonlinearities in the predictors, using Monte Carlo simulation. Based on the observed biases resulting from departures from underlying assumptions, we formulate guidelines...
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Includes: Supplementary data
Journal Article
Demography (1995) 32 (1): 111–131.
Published: 01 February 1995
... on contraceptive use, based on data from the 1988 Tunisia Demographic and Health Survey. 12 1 2011 © Population Association of America 1995 1995 Probit Regression Concentration Parameter Additional Child Monte Carlo Experiment Simultaneous Equation Model References Amemiya T...
Journal Article
Demography (2014) 51 (1): 205–228.
Published: 10 September 2013
... and older listed in the family roster, excluding the respondent’s spouse; most of these deaths were the parents or adult children of the respondents. The survey did not capture whether these individuals were coresident at the time of their death. To test our hypotheses, we use probit regressions...
Includes: Supplementary data
Journal Article
Demography (2002) 39 (1): 119–137.
Published: 01 February 2002
... = Union Army data sets. NHANES = National Health and Nutrition Examination Survey. NHIS = National Health Interview Survey. Sample weights were used for NHANES and NHIS. Results from predicted UA are predictions from a probit regression in which the controls were age and dummy variables indicating wartime...
Journal Article
Demography (2001) 38 (1): 115–132.
Published: 01 February 2001
... the results of probit regressions of currently enrolled and ever attended for children age 6 to 14, and completed grade 5 for those age 15 to 19. The regressions control for child characteristics, residence, and characteris- tics of the household head a specification that mimics the one used...
Journal Article
Demography (2011) 48 (3): 863–887.
Published: 07 July 2011
... ). Moreover, education and fertility could pose competing risks in a woman’s life rather than one purely causing the other. We estimate propensity scores for each woman in the sample for the probability of college attendance and completion given a set of observed covariates using probit regression models...
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Journal Article
Demography (1985) 22 (3): 445–454.
Published: 01 August 1985
.... First, run a probit regression ofAi on Vi for i = 1, , n. Next, use the estimated co- efficients to generate an estimate of A, calling it Ji.. Probit yields consistent estimators for D, so Ji. is consistent, by Slutsky's theorem. Finally, use Ji. and x* for the n* complete cases to estimate {3...
Journal Article
Demography (2020) 57 (5): 1853–1879.
Published: 25 August 2020
... < threshold SUBJ ENV LIFE . Individuals self-report as work-disabled if their objective health is worse than a threshold that depends on their current environment, earlier life circumstances, and their subjective assessments of their health. This is equivalent to a probit regression: (2) prob...
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Includes: Supplementary data
Journal Article
Demography (2014) 51 (3): 1131–1157.
Published: 02 May 2014
... infection among the 2006 nonparticipants, one would expect that the predicted individual HIV status in 2006 would be highly correlated with their actual HIV status in 2008. We conduct a probit regression of observed HIV status in 2008 on the conditional and unconditional Heckman predictions of HIV infection...
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Includes: Supplementary data
Journal Article
Demography (2011) 48 (4): 1317–1346.
Published: 27 September 2011
... on mortality hazard and years-left-alive. Some substantive and methodological considerations suggest models that specify endogenous effects estimated by instrumental variables (IV) probit, IV Tobit, and IV regression methods. Other considerations suggest estimation by endogenous switching (ES) probit and ES...
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Includes: Supplementary data
Journal Article
Demography (2014) 51 (5): 1775–1796.
Published: 05 September 2014
... empirical specifications control for these factors, we present results that decompose the sample by spouse’s education and landholdings. This analysis allows us to examine whether the results vary by socioeconomic background. We start by estimating the following probit regression for children born...
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Journal Article
Demography (2015) 52 (2): 485–511.
Published: 26 February 2015
... because it is designed to explain group differences in the values of continuous dependent variables in ordinary least squares (OLS) regressions. In nonlinear regressions like probit models, the average value of an outcome Y does not necessarily equal the predicted probability that Y = 1 when...
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Includes: Supplementary data
Journal Article
Demography (1995) 32 (1): 63–80.
Published: 01 February 1995
.... For this reason, some researchers have estimated a first- stage probit regression and have inserted the predicted probability directly into the second stage. However, the estimated coefficient on a predicted probability from a nonlinear model is not guaranteed to be consistent under the usual instrumental...
Journal Article
Demography (1997) 34 (4): 493–511.
Published: 01 November 1997
... than one-half of the marginal change in E( YIX) is attributable to event occurrence. Alternatively, if we ignore information on timing, pre- marital birth outcomes among sister-pairs can be modelled using a bivariate probit regression model. The latent-variable model still applies and may be written...
Journal Article
Demography (1995) 32 (3): 365–378.
Published: 01 August 1995
... equation. The second line substitutes out for wand I from our decomposition. The residual terms are absorbed into a new probit residual (if we assume they are distributed normally), and the regression coefficients are relabeled with a double tilde to emphasize the new normalization of the variance. Under...
Journal Article
Demography (1996) 33 (1): 12–23.
Published: 01 February 1996
... and Probit Regression Models . Sociological Methods and Research , 15 , 355 – 74 . 10.1177/0049124187015004001 Begg C.B. , & Gray R. ( 1984 ). Calculation of Polychotomous Logistic Regression Parameters Using Individualized Regressions . Biometrika , 71 , 11 – 18 . 10.2307...
Journal Article
Demography (2013) 50 (1): 125–147.
Published: 11 September 2012
... and estimate Eq. 1 using a probit specification: (1) The subscript i indexes individuals who are a years old in census year t and belong to birth cohort c . The regression includes fixed effects for census years ( t ); individual years of age ( a ); and five cohort intervals, each...
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Journal Article
Demography (1991) 28 (1): 133–157.
Published: 01 February 1991
... of regressors and coefficients is shown in Appendix A.) 138 Demography, Vol. 28, No.1, February 1991 Our high school attainment estimates are based on a probit regression in which the dependent variable is equal to 1 if the individual had completed high school by 1987 and 0 otherwise. Individuals aged 19...
Journal Article
Demography (2020) 57 (5): 1903–1928.
Published: 08 September 2020
... into homeownership and subsequently models homeownership exit. Because our outcome equation is based on a sample of homeowners, not accounting for selection into homeownership can yield biased or inconsistent estimates (Heckman 1979 ). The first-stage selection model uses probit regression to estimate...
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