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Journal Article
Demography (2015) 52 (5): 1729–1750.
Published: 10 September 2015
... the predicted inverse Mills ratio λ ̂ = λ Z γ σ v ̂ − α σ v ̂ I h . 6 In the second step, the following regression specification is estimated with ordinary least squares (OLS) on the sample of participating women: (4) w = X β...
Journal Article
Demography (1989) 26 (1): 117–123.
Published: 01 February 1989
... endowments model that he claims is observationally equivalent. The test results favor the Becker formulation. 7 1 2011 © Population Association of America 1989 1989 Permanent Income Downward Bias Mills Ratio Earning Equation Intergenerational Income References Becker , G. S...
Journal Article
Demography (2012) 49 (3): 1011–1036.
Published: 29 June 2012
...] [0.057] [0.156] [0.187] Spouse’s Status Unknown 0.140** 0.057* 0.033 0.062** 0.080 0.002 [0.042] [0.026] [0.037] [0.013] [0.049] [0.048] Inverse Mills Ratio 0.083 0.110 –0.057 0.014 –0.010 –0.007 [0.061] [0.074] [0.042] [0.028] [0.052] [0.056] N 1,599 1,601...
Journal Article
Demography (1990) 27 (1): 1–17.
Published: 01 February 1990
...) that unbiased estimates of equation (1) could be obtained under the assumption that the joint distribution of Uil and UiZ was bivariate normal. His procedure was to fit equation (2) as a probit equation and to compute the inverse of Mill's ratio (Ai) for each woman who gives birth: Ai = f(Qi)/F(Q (3) Here Qi...
Journal Article
Demography (1994) 31 (4): 593–602.
Published: 01 November 1994
... a sample selection model using Heckman's (1979) "two-step' estimation technique. We estimated a probit model over all 6,283 women in the NLSY coding the dependent variable 1 if the woman appeared in our study sample and 0 if she did not. The inverse of the "Mills ratio" (see Greene 1990:744) computed...
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Published: 01 October 2024
Fig. 2 Predicted probabilities of divorce from a logistic model that includes interactions between experience of parental divorce and marriage cohort (1920–2004), using 95% confidence intervals. Panel a: Model controls for duration of marriage, gender, and the inverse Mills ratio (correcting
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Published: 01 October 2024
Fig. 3 Predicted probabilities of divorce from a logistic model that includes interactions between age at parental divorce (0–13 or 14–20 years) and marriage cohort (1975–2004), using 95% confidence intervals. Panel a: Model controls for duration of marriage, gender, and the inverse Mills ratio
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Published: 01 October 2024
the figure because of the small number of observations, which resulted in large confidence bands. Panel a: Model controls for duration of marriage, gender, and the inverse Mills ratio (correcting for selection into marriage). It also includes controls for presence of a child under seven, urbanicity of place
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Journal Article
Demography (2013) 50 (3): 853–880.
Published: 04 December 2012
... Three −0.39*** 0.05 −0.68*** 0.05 Four or more −0.55*** 0.06 −0.78*** 0.07 Facility Accessibility Not a problem 0 –– 0 –– Small problem −0.04 0.04 −0.12** 0.04 Big problem −0.07 0.04 −0.11** 0.04 Inverse Mills Ratio 0.11 0.16...
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Journal Article
Demography (1999) 36 (2): 233–246.
Published: 01 May 1999
... in a given year (the Mills ratio). This instrumental variable was then included as a control in the final equation predicting wages earned by migrants on their most recent U.S. trip. The factors we used to predict the wages of male household heads on their last trip to the United States are displayed...
Journal Article
Demography (2024) 61 (5): 1351–1375.
Published: 01 October 2024
...Fig. 2 Predicted probabilities of divorce from a logistic model that includes interactions between experience of parental divorce and marriage cohort (1920–2004), using 95% confidence intervals. Panel a: Model controls for duration of marriage, gender, and the inverse Mills ratio (correcting...
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View articletitled, Intergenerational Transmission of Divorce in Sweden, 1920–2015
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for article titled, Intergenerational Transmission of Divorce in Sweden, 1920–2015
Includes: Supplementary data
Journal Article
Demography (2007) 44 (1): 181–198.
Published: 01 February 2007
... regression models, we include the inverse Mills ratio (originating for each in- dividual from the estimates of the probit model) as a covariate. We use age and place of residence at Wave 1 only in the sample selection equation in order to avoid identi cation problems (place of residence does not in uence...
Journal Article
Demography (2020) 57 (5): 1903–1928.
Published: 08 September 2020
...) –.010*** (.001) –.002*** (.001) *** Length of tenure (squared) .000*** (.000) .000 (.000) *** Underwater mortgage (LTV ratio > 1) .000 (.010) .006 (.005) Inverse Mills ratio .035*** (.006) .005 (.003) *** Number of Person-Periods 17,569 49,292 Notes...
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Journal Article
Demography (2000) 37 (1): 17–27.
Published: 01 February 2000
...) is the inverse mills ratio. Estimates of the vector of coefficients are derived from a probit of labor-force participation on the vector of characteristics, wi, shown in Eq. (9). The system of equations is identified by the inclusion of the variables UNDER10 and MARRIED. The former is the number of children...
Journal Article
Demography (1985) 22 (4): 485–497.
Published: 01 November 1985
... estimating the sample selection process-in this case, remarriage- with a probit function. The results are then used to form the inverse Mill's ratio, denoted as }. for each individual in the sample of unmarried women. Finally, the equation of interest-our equation (1)-can be estimated by OLS with ~ included...
Journal Article
Demography (2008) 45 (2): 461–488.
Published: 01 May 2008
...). The decline between the two estimates suggests that part of the effect of coparenting is attributable to unobserved characteristics associated with becoming a nonresident father. However, the inverse Mills ratio (lambda) is not statistically signi cant (p = .361). Looking at the estimates based...
Journal Article
Demography (2018) 55 (3): 1069–1090.
Published: 09 May 2018
... on all potential neighborhood options allows us to retain a high degree of precision in the estimation of the conditional probabilities. Following Ioannides and Zabel ( 2008 ), we transform these linear probabilities to generate correction terms akin to the inverse Mills ratios popularized by Heckman’s...
Journal Article
Demography (1992) 29 (2): 181–198.
Published: 01 May 1992
..., Heckman suggests a two-step procedure. In the first step, the propensity to self-employment or to migration is modeled by using a probit analysis. In the second step, the inverse Mills ratio function of the probit estimates is entered as another variable into an OLS regression model that predicts income...
Journal Article
Demography (2011) 48 (1): 73–99.
Published: 23 February 2011
.... 6 provides consistent estimates of π k . The resulting estimates are used to construct the inverse Mills’ ratios shown below: (7) where ϕ{.} and Φ{.} signify the normal probability density function and the cumulative normal probability function, respectively. 8 The ratios, which...
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View articletitled, The Effect of Family Member Migration on Education and Work Among Nonmigrant Youth in Mexico
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for article titled, The Effect of Family Member Migration on Education and Work Among Nonmigrant Youth in Mexico
Includes: Supplementary data
Journal Article
Demography (2021) 58 (3): 871–900.
Published: 01 June 2021
... that the odds ratio (OR) is smaller (or larger) than 1 if the posterior mean of the OR is smaller (or larger) than 1. Source: Authors' elaboration on the meta-sample. Results show that time-limited employment is slightly more detrimental for parents' transition to higher-order births than...
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View articletitled, Employment Instability and Fertility in Europe: A Meta-Analysis
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for article titled, Employment Instability and Fertility in Europe: A Meta-Analysis
Includes: Supplementary data
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