An econometric model of spouse selection

1996 ◽  
Author(s):  
Hon-kwong Lui
2016 ◽  
Vol 14 (1) ◽  
pp. 38-49 ◽  
Author(s):  
Mulki M Al-Sharmani ◽  
Abdirashid A Ismail

In this article, we investigate how marriage practices of Somali migrants in Finland are influenced by their transnational kinship. We examine how transnational family ties play a role in migrants’ spouse selection, marriage arrangements, and management of spousal resources. We also identify the factors that enable migrants to successfully navigate marital challenges caused by their transnational kin-based ties. These factors are: companionate marriage relationship based on emotional closeness and flexible spousal roles, compatibility in spousal resources, and the cooperation of couples in navigating transnational family obligations. We show how gender and generation are at play (in complex ways) in the interplay between transnational kinship and marriage. We draw on interview data from 16 married male and female interviewees, taken from a larger sample of 37 informants of different marital statuses. Our analysis is also based on data from focus group discussions


1985 ◽  
Vol 24 (3-4) ◽  
pp. 531-550 ◽  
Author(s):  
Suleiman I. Cohen ◽  
Ivo C. Havinga ◽  
Mohammad Saleem

The macro-econometric model of Pakistan's economy by Naqvi et al. (3) is the first completed work in a renewed effort to model significant economic and social activities and issues in Pakistan. One of the current modelling efforts in which the authors are participating aims at combining elements from the macro-econometric model, inter-industry relations, factor market relations, and social accounting frameworks. This effort is now made possible by the compilation of the relevant statistics relating to an input-output table and the social accounting matrix ....................................................................................................


2009 ◽  
Vol 24 (4) ◽  
pp. 214-222 ◽  
Author(s):  
Jeffrey D. Kline ◽  
Alissa Moses ◽  
David Azuma ◽  
Andrew Gray

Abstract Forestry professionals are concerned about how forestlands are affected by residential and other development. To address those concerns, researchers must find appropriate data with which to describe and evaluate rates and patterns of forestland development and the impact of development on the management of remaining forestlands. We examine land use data gathered from Landsat imagery for western Washington and evaluate its usefulness for characterizing low-density development of forestland. We evaluate the accuracy of the satellite imagery‐based land use classifications by comparing them with other data from US Forest Service's Forest Inventory and Analysis inventories and the US census. We then use the data to estimate an econometric model describing development as a function of socioeconomic and topographic factors and project future rates of development and forestland loss to 2020. We conclude by discussing how best to meet the land use data needs of researchers, forestry policymakers, and managers.


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