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Ordinary Little Square Estimate
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Journal Article
Demography (1986) 23 (2): 283–284.
Published: 01 May 1986
... 1986 1986 Ordinary Little Square Birth Interval Generalize Little Square Crude Birth Rate Ordinary Little Square Estimator References Firebaugh G. ( 1982 ). Population density and fertility in 22 Indian villages . Demography , 19 , 481 – 494 . 10.2307/2061014...
Journal Article
Demography (1975) 12 (3): 519–536.
Published: 01 August 1975
.... Government Printing Office . Wadycki Walter J. ( 1974 ). A Note on Opportunity Costs and Migration Analysis . Annals of Regional Science , 8 , 109 – 117 . 10.1007/BF01287337 Ordinary Little Square Employment Growth Migration Flow Migration Model Ordinary Little Square Estimate...
Journal Article
Demography (2009) 46 (4): 695–715.
Published: 01 November 2009
... 2009 Educational Attainment Ordinary Little Square High School Graduation Adolescent Health Ordinary Little Square Estimate References Adair L.S. , & Gordon-Larsen P. ( 2001 ). Maturational Timing and Overweight Prevalence in US Adolescent Girls . American Journal...
Journal Article
Demography (1989) 26 (1): 117–123.
Published: 01 February 1989
... (5), he derived the following: where c* (7) 122 Demography, Vol. 26, No.1, February 1989 Equation (7) can be estimated with data on the number of children in two generations and the income for their respective parents. As Becker pointed out, ordinary least squares estimates are biased because...
Journal Article
Demography (2010) 47 (3): 689–718.
Published: 01 August 2010
... of measurement error. 27 1 2011 © Population Association of America 2010 2010 Ordinary Little Square NBER Working Paper Ordinary Little Square Estimate Early Marriage Unilateral Divorce References Acemoglu D. , & Angrist J. ( 2001 ). How Large Are Human-Capital...
Journal Article
Demography (1995) 32 (1): 111–131.
Published: 01 February 1995
... models, the standard solution to this potential endogeneity bias is an estimator such as two-stage least squares. These methods have been extended to models with limited dependent variables, but there is little information on the performance of the methods in the types of data sets typically used...
Journal Article
Demography (1985) 22 (3): 445–454.
Published: 01 August 1985
... is found in these two samples. 9 1 2011 © Population Association of America 1985 1985 Ordinary Little Square Ordinary Little Square Regression Additional Child Numeric Response Demand Equation References Clark C. M. ( 1981 ). Description of the household composition...
Journal Article
Demography (2008) 45 (1): 223–243.
Published: 01 February 2008
... to interact with residence areas. The coef cient 1 as estimated by the ordinary least squares (OLS) method may merely suggest a correlation, rather than a causal effect, because family size is likely to be endog- enous. Following Rosenzweig and Wolpin (1980b) and Black et al. (2005), we use the birth...
Journal Article
Demography (1977) 14 (3): 265–272.
Published: 01 August 1977
... to marital dissolution. The associations between several other social demographic variables and marital dissolution also are investigated. 30 12 2010 © Population Association of America 1977 1977 Child Care Ordinary Little Square Preschool Child National Longitudinal Survey Russell Sage...
Journal Article
Demography (1987) 24 (4): 481–496.
Published: 01 November 1987
... will be inconsistent. If u is normally distributed with mean zero and variance Uuu, then it can be shown" that where <I> is the standard normal cumulative distribution function, <p the standard normal density, Uu the standard deviation of u, and z = (B - 130 - {3IIL)/Uu' An ordinary least squares estimator applied...
Journal Article
Demography (2011) 48 (2): 675–697.
Published: 06 May 2011
...–2005 1988–2005 1988–2005 1988–2005 Notes : Ordinary least squares estimates. The mean of the dependent variables, calculated using sample weights, are presented in the first row. Standard errors are in parentheses, and standard errors that allow for clustering at the region level are presented...
FIGURES
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Includes: Supplementary data
Journal Article
Demography (1971) 8 (4): 525–536.
Published: 01 November 1971
...(a). In the linear model we are merely choosing a different func- tional form to account for the deviation. Equation (11) was estimated by ordinary least squares for successive values of 8 with the results presented in Table 5. The values of the parameters which maximize the R2 are 8 = 4.0, ~1 = .8433, and ~2...
Journal Article
Demography (2000) 37 (2): 155–174.
Published: 01 May 2000
... squares applied to Eq. (1) would produce consistent estimates of the , , and 2 parameters as well as their standard errors.3 The causal model of Eq. (1) cannot be estimated as it stands because no data on Z are available. The researcher, comparable to those gathered in the generic DHS survey...
Journal Article
Demography (1976) 13 (3): 411–415.
Published: 01 August 1976
... or significance-level changes. [His com- parisons of significance levels are of ques- tionable value, since (a) differences in sig- nificance levels in no way indicate the presence or absence of bias; and (b) the t- statistics for any of his ordinary least- squares (OLS) equations that contain en- dogenous...
Journal Article
Demography (2015) 52 (5): 1671–1700.
Published: 14 September 2015
... exactly: indicator variables for household access to piped water, bed net ownership, and ART within 20km. Parameters are estimated using ordinary least squares (OLS) regression. Standard errors are shown in parentheses and are clustered by standard enumeration area (SEA). † p < .10; * p < .05...
FIGURES
Journal Article
Demography (1983) 20 (3): 391–405.
Published: 01 August 1983
... the stochastic structure of the data can be diagnosed. 7 1 2011 © Population Association of America 1983 1983 Ordinary Little Square Instrumental Variable Child Death Random Coefficient Replacement Effect References Barrett John ( 1971 ). Use of a Fertility Simulation Model...
Journal Article
Demography (1989) 26 (2): 219–233.
Published: 01 May 1989
... race and the other explanatory variables in the equation. The sample for the white regression contains 10,590 couples, and the nonwhite regression uses a sample of 1,214. The results of estimating equation (1) by ordinary least squares regressions appear in Table 1. Wives' characteristics provide...
Journal Article
Demography (1976) 13 (2): 273–286.
Published: 01 May 1976
... were derived from the Enumerator Variance Study and con- tain the simple response re1variances. c- The estimates of bias were derived from 1960 evaluation studies. Sources of Errorand Their Effect on Census Statistics 285 tribute very little to the mean-square er- ror. Yet the bias term, as shown...
Journal Article
Demography (1974) 11 (3): 407–421.
Published: 01 August 1974
... ordinary least squares estimates suggest that the results of the analysis of the data are tentative, subject to further analysis by more sophisticated statistical methods. The estimation methods are, however, about as ambitious as the data permit. and, for the 31 rural areas, 414 Using ordinary least...
Journal Article
Demography (2018) 55 (1): 249–269.
Published: 01 February 2018
... in parentheses. All models include year fixed effects. * p < .05; ** p < .01; *** p < .001 To explore the relationship between variation in LBW and variation in levels of absolute economic mobility, we begin by estimating pooled cross-sectional ordinary least squares (OLS) models. We use four...
FIGURES
Includes: Supplementary data
