Estimation and Interpretation of a Nonlinear Migration Model

Liaw, Kao‐Lee; Bartels, C. P. A.

doi:10.1111/j.1538-4632.1982.tb00071.x

Cited by 17 publications

(6 citation statements)

References 9 publications

(10 reference statements)

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“…Discrete choice theory (Luce 1959;McFadden 1976) suggests that the probability, p, of a household, 1, making a residential move in a specified period may be given by the logit model where u1 is a vector of observed household characteristics, and v is a vector of observed choice set (move or no move) characteristics, and y1 and y2 are row vectors of parameters. Such models have been widely used in migration research (Weinberg 1975;MacMillan 1978;Liaw and Bartels 1982) although the limitations of the cross-sectional formulation have not always been recognized. In particular it is not permissible to include elements of previous behavior (such as duration since the last move) as independent variables.…”

Section: The Modelmentioning

confidence: 99%

See 1 more Smart Citation

The Estimation of Duration‐of‐Residence Effects: A Stochastic Modeling Approach

Davies

Pickles²

1983

Geographical Analysis

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Section: The Modelmentioning

confidence: 99%

“…Such models have been widely used in migration research (Weinberg 1975;MacMillan 1978;Liaw and Bartels 1982) although the limitations of the cross-sectional formulation have not always been recognized. In particular it is not permissible to include elements of previous behavior (such as duration since the last move) as independent variables.…”

Section: The Modelmentioning

confidence: 99%

The Estimation of Duration‐of‐Residence Effects: A Stochastic Modeling Approach

Davies

Pickles²

1983

Geographical Analysis

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“…To assess both the "push" and "pull" effects of State attributes on the inter-State migration process of the poverty population, we employ the nested logit model which has been popularized by Liaw (Liaw & Bartels, 1982;Liaw & Ledent, 1987Liaw, 1990;Liaw & Ottomo, 1991).…”

Section: State Aitributes and The Migration Processmentioning

confidence: 99%

Population and Environment

Rigby¹,

Leibtag²

1971

Institute of Development Studies Bulletin

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This study evaluates the social and demographic structure of poverty migration dur ing the 1985-90 period based on an analysis of recent census data. Particular atten tion is given to the roles of two policy-relevant factors that are proposed to be linked to poverty migration. The first of these is the role of immigration from abroad and its effect on the net out-migration of longer-term residents with below-poverty incomes, from States receiving the highest volume of immigrants. Such a response, it is argued, could result from job competition or other economic and social costs associated with immigration. The second involves the poverty population "magnet" effect associated with State welfare benefits (AFDC and Food Stamp payments) which has come under renewed scrutiny in light of the impending reform of the These results are consistent with arguments that internal migrants are responding to labor market competition from similarly educated immi· grants. Moreover, we found that the impact of immigration occurs primarily as a "push" rather than a reduced "pulL" In contrast, State welfare benefits exert only minimal effects on the interstate migration of the poverty population-either as "pulls" or "pushes," although some demographic segments of that population are more prone to respond than others. In addition to these findings, our results reveal the strong impact that a State's racial and ethnic composition exerts in both retaining and attracting migrants of like race and ethnic groups. This suggests the potential for a greater cross-state division in the US poverty population, by race and ethnic status.

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“…For the nested logit model, the MQL method yields parameter values identical to those from the ML method, whereas the t-ratios from the MQL method are equal to the corresponding t-ratios from the ML method scaled by the square root of the weighted residual mean square (WRMS). In studies based on macro migration data (for example, Liaw and Bartels 1982;and Liaw and Ledent 1987), the WRMS is usually much greater than 1.0, making the t-ratios from the two methods very different in magnitude. However, in studies using micro data (for example, Liaw and Ledent 1988;Liaw and Schuur 19881, the WRMS tends to be rather close to 1.0, making the statistical inferences from the two methods rather similar.…”

Section: The Estimation Methodsmentioning

confidence: 99%

Joint Effects of Personal Factors and Ecological Variables on the Interprovincial Migration Pattern of Young Adults in Canada: A Nested Logit Analysis

Liaw

1990

Geographical Analysis

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This paper applies a nested logit model to the 1981 c e m w micro data to study the joint eflects of personal factors (sex, mother tongue, nativity, education, and mrital status) and ecological variables on the 1976-1 981 interprovincial migration pattern of young adults in Canada. In multivariate contexts, personal factors not only are of paramount importance in explaining the departure process but also have sign$cant interactions with ecological variables in determining the destination choice pattern. INTRODUCTIONThe most important political issue in Canada in 1988 was the free trade agreement with the United States. The attacks by the opposition parties on the agreement negotiated by the majority Conservative government are based mainly on two grounds: first, it would undermine Canadian regional economic policies, which openly provide financial subsidies to industries in economically less developed regions; and second, it would diminish Canadian cultural identity.These government subsidies are the result of a persistent interregional economic disparity that appears to be an inherent part of the market economy, whereas the cultural sensitivity is a reflection of a strong desire among Canadians to maintain a distinct heritage that helps to preserve the historical British/French separation and to promote muIticulturalism as an official cultural policy.Coexisting with the apparently large regional diversity in economic and cultural respects is the paradox that the geographical mobility of the Canadian population is one of the highest in the world (Long and Boertlein 1976). Somehow the high level of mobility does not seem to function well in reducing interregional disparities and in mixing people. There were even mobility programs providing relocation grants to help those in the labor force find jobs elsewhere in the country. Kao-Lee Liaw is professor of geography, McMaster University.

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Estimation and Interpretation of a Nonlinear Migration Model

Cited by 17 publications

References 9 publications

The Estimation of Duration‐of‐Residence Effects: A Stochastic Modeling Approach

The Estimation of Duration‐of‐Residence Effects: A Stochastic Modeling Approach

Population and Environment

Joint Effects of Personal Factors and Ecological Variables on the Interprovincial Migration Pattern of Young Adults in Canada: A Nested Logit Analysis

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