Download presentation
Presentation is loading. Please wait.
Published byBrook Jacobs Modified over 9 years ago
1
Immigrant and Canadian-born Family Migration and the Employment Outcomes of Women and Men Hongchen Yue Department of Economics University of Manitoba umyueh@cc.umanitoba.ca
2
Objective of this Study Examine the family migration behavior of immigrants and Canadian-born and the consequences of employment for both men and women. Analyse in a family and gender perspective, help to understand how ethnicity, gender and employment interact in the process of internal migration and integration
3
Theoretical Framework Human-Capital model of family migration by Mincer (1978), Frank (1978) and Sandell (1977) -- Empirical evidence indicates the “tied movers” for women (Mincer 1978; Sandell 1977; Spitz 1984; Morrison and Lichter, etc.) Gender-role model ( Bielby and Bielby 1992) --Husband-dominated family vs. egalitarian family -- HC based theory is egalitarian decision making
4
Theoretical Framework Immigrants’ secondary migration: ‘Social ties’ (Granovetter 1973; Toney 1976; Wilson and Portes 1980) Immigrants are more mobile or less mobile than the Canadian-born? Less location specific human capital Race and ethnic background, enclaves and social ties Previous studies on Canadian Immigrants internal migration: Newbold (1996), Lin (1998), etc.
5
Theoretical Framework “Family Investment model” by Baker and Benjamin’s (1997) “Family composition is an important correlate of immigrant assimilation.” Variation in employment outcomes across different family types. Family types: immigrant families, mixed families and native families.
6
What about today’s family migration? Participation of women and rates of family dissolution increase Traditional family structure decreases? Relocation strategies and behavior of dual-earner families are likely to become more complicated - complex trade-offs and bargain interactions (Lundberge and Pollak 2001)
7
Modeling Methods Binary logit models for family migration behavior analysis M i =0 if Mi * <= 0 if M i * > 0M i =1
8
Modeling Methods Self-selection is a problem Recursive bivariate probit model (Greene 2003) was used for employment consequences analysis (1) (2) The error terms, u i in equation (1) and v i in equation (2), are assumed to be correlated.
9
Data and Variables SLID (the Survey of Labor and Income Dynamics) Pooled eleven two-year cross-sections in the migration model and ten three-year cross sections in the employment model Census family as the analysis unit, “nuclear family” - Only consider the families of married and common-law couples with or without children - families keep stable and the couples must move together
10
Data and Variables Migration is defined as the change of CMA residence or the change of Employment Insurance Region (EIR) from one year to the next. A cut-off of 1000 hours annually for paid work is used to define the employed (or working people). All the independent variables measured the pre-move situation, including family and spouses’ characteristics
11
Descriptive Statistics: Moving Rates A. By Joint Education Level AllNative families Immigrant families Both Have Postsecondary Certificate 3.6%4.1%1.33% Only Husband Has Postsecondary Certificate 3.0%3.4%1.39% Only Wife Has Postsecondary Certificate 3.8%4.2%1.21% Neither Has Postsecondary Certificate 3.1%3.4%1.11%
12
Descriptive Statistics: Moving Rates B. By Joint employment Status AllNative families Immigrant families Both Employed 3.1%3.5%0.9% Only Husband Employed 4.0%4.4%1.8% Only Wife Employed 3.7%4.2%0.8% Neither Employed 3.0%3.2%1.6%
13
Descriptive Statistics: Moving Rates
14
Descriptive Statistics Non-moverMover Nativ e family (71%) Wife Immigr ant family Husba nd Immigr ant Immigr ant family (13%) Native family Wife Immigra nt family Husb and Immig rant Immi grant famil y YSM (wife) --28.2 --17.9 --26.2 --17.5 YSM (husband) -- 29.918.9 -- -- 30.819.1 Urban 0.750.840.870.930.650.770.720.78 Received EI 0.280.220.230.20.360.170.280.16
15
Descriptive Statistics
16
Results for Family Migration Models VariablesAll Only immigra nt family Only native family Immigrant family?0.589*.6001 Visible minority immigrant family? 1.106 Black0.622.703 Asian3.974**.991 Only-Immigrant- wife family? 1.71.352.643 Only-Immigrant- husband family?.491 Husband is immigrant? 0.398** Wife is immigrant?1.523
17
Wald coefficient tests (prob> 0) Wife is immigrant=husband is immigrant 0.0550 Immigrant family=only wife immigrant family 0.0232 Immigrant family=only husband immigrant family 0.6511 family=only husband immigrant family 0.0582 Immigrant family=visible minority immigrant family 0.1801 Black=Asian 0.06630.7467
18
Results for employment equations for Men and Women (from recursive bivariate probit models) VariablesAll (wives) All (husba nd) Unemploye d pre-move (wives) Unemploy ed working pre-move (husbands) working pre-move (wives) working pre-move (husban ds ) Family migrant.804***1.62***1.353***1.678***.973**-1.587*** Working before move? 1.156***.003 Migrant*immig rant wife/husband -.150-.0940.237-.367 -.216-.0263 Migrant*immig rant family wife/husband -.248.0823-.3637.466***0.114-.700*** rho -.433-..959-.758-.959-.560.638 Wald test of rho=0, prob>chi2 0.00150.000 0.03940.08240.000 Wald Prob > chi2 0.00000.000
19
Results for employment equations for Men and Women (from recursive bivariate probit models) VariablesOnly Immigrant (husbands) Only Canadian- born ( husband) Only immigrant ( wives) Only Canadian- born ( husbands) Family migrant -1.202**1.619***1.12.838*** Working before move?.102-.0311.066***1.165*** Migrant*imm igrant wife/husband -.0550.094 rho.438-.959-.662-.454 Wald test of rho=0, prob>chi2 0.04190.0000.243500.0011 Wald Prob > chi2 0.000
20
Additional Results Wives’ characteristic is quite significant in the migration model -- Wife’s education, occupation and participation status are important determinants for family migration but not the employment status. If husband participates, there is a higher probability of moving, while the probability will diminish if wives participate.
21
Conclusions Move has different effect on men and women Wives are not necessarily the tied-movers Did not detect important differences between immigrants and native-born on family migrant behavior but found differences on migrant outcomes between immigrant men and native-born.
22
Future Research Consider moving reasons, more detailed employment status by month and job search in the research work. The interval of three to five years after move could be used to see the ‘long-run’ effect. Separate those who moved more than once from those who made only one move.
Similar presentations
© 2024 SlidePlayer.com Inc.
All rights reserved.