Table 3.
Women | Men | |||||
---|---|---|---|---|---|---|
| ||||||
No adjustment | Demographic factorsb | Demographic & substantive factorsc | No adjustment | Demographic factorsb | Demographic & substantive factorsc | |
Origin | ||||||
African | .143(.042)*** | −.126(.052)** | −.207(.060)*** | .033(.043) | .258(.054)*** | −.304(.055)*** |
Asian | .272(.116)** | .037(.121) | .039(.122) | .151(.110) | −.028(.123) | .019(.130) |
Eastern Europe | −.157(.062)** | −.064(.064) | −.043(.068) | −.237(.065)*** | −.121(.069)* | −.086(.070) |
Western Europe | ||||||
Mexico | .106(.081) | −.044(.082) | −.010(.090) | .318(.070)*** | .135(.073)* | .167(.090)* |
Puerto Rico (PR) | .119(.133) | −.161(.142) | −.160(.147) | .250(.152) | −.081(.166) | −.073(.168) |
Other Hispanic | .156(.094)* | .036(.100) | .052(.105) | .061(.107) | −.131(.116) | −.106(.122) |
Foreign-Born | ||||||
African foreign-born | −.017(.128) | −.071(.170) | −.051(.181) | −.503(.149)*** | −.565(.181)*** | −.563(.170)*** |
Asian foreign-born | −.521(.181)*** | −.804(.217)*** | −.875(.221)*** | −.445(.155)*** | −.655(.187)*** | −.769(.211)*** |
Eastern Europe foreign-born | −.119(.180) | −.345(.212) | −.558(.246) | .260(.238) | −.093(.252) | −.159(.279) |
Western Europe foreign-born | −.050(.102) | .044(.109) | .079(.111) | −.143(.113) | −.002(.122) | .064(.127) |
Mexico foreign-born | .131(.127) | −.194(.156) | −.276(.159)* | .021(.111) | −.132(.129) | −.221(.164) |
Puerto Rican born in PR | .290(.272) | .243(.310) | .218(.311) | −.262(.188) | −.163(.213) | −.235(.231) |
Other Hispanic foreign-born | −.036(.128) | −.208(.138) | −.237(.159) | .007(.131) | −.065(.147) | −.153(.189) |
| ||||||
P-value for sign. of origin | <.0001 | .189 | .017 | <.0001 | <.0001 | <.0001 |
P-value for sig. of foreign-born status | .095 | .003 | .001 | <.0001 | <.0001 | <.0001 |
Rho | −.816(.019)*** | −.432(.071)*** | −.257(.111)** | −.911(.019)*** | −.413(.130)*** | −.206(.172) |
p<.01.
p<.05.
p<.10.
Models are bivariate probit with sample selection on whether a respondent used alcohol in the past 12 months. Identification comes from the inclusion of first wave control measures in the used alcohol portion of the model. The addition of these factors significantly improved model fit for used alcohol at better than the .01 level. Note that the years in US is not included in the models shown because the joint tests on its inclusion were never statistically significant.
Demographic factors include gender, age, marital status, number of children, education, working status, health insurance, region, MSA, physical or mental disability, income, and religious activity.
Substantive factors include trauma, perceived discrimination, prefer speaking in English, prefer own social group socially, race/ethnic orientation, number of close ties, number of instrumental ties, social support, and social stress.