STUDYING IMMIGRATION PATTERNS OF MEXICANS INTO THE U.S. USING A NESTED LOGIT MODEL.

Bachelor's

Saved in:
Bibliographic Details
Main Author: GUO JIA
Other Authors: ECONOMICS
Format: Theses and Dissertations
Published: 2020
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/170233
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-170233
record_format dspace
spelling sg-nus-scholar.10635-1702332020-06-18T13:17:54Z STUDYING IMMIGRATION PATTERNS OF MEXICANS INTO THE U.S. USING A NESTED LOGIT MODEL. GUO JIA ECONOMICS LIU CHEN International migration migrant networks wage differentials Bachelor's Bachelor of Social Sciences (Honours) 2020-06-18T01:44:18Z 2020-06-18T01:44:18Z 2020-04-13 Thesis GUO JIA (2020-04-13). STUDYING IMMIGRATION PATTERNS OF MEXICANS INTO THE U.S. USING A NESTED LOGIT MODEL.. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/170233
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
topic International migration
migrant networks
wage differentials
spellingShingle International migration
migrant networks
wage differentials
GUO JIA
STUDYING IMMIGRATION PATTERNS OF MEXICANS INTO THE U.S. USING A NESTED LOGIT MODEL.
description Bachelor's
author2 ECONOMICS
author_facet ECONOMICS
GUO JIA
format Theses and Dissertations
author GUO JIA
author_sort GUO JIA
title STUDYING IMMIGRATION PATTERNS OF MEXICANS INTO THE U.S. USING A NESTED LOGIT MODEL.
title_short STUDYING IMMIGRATION PATTERNS OF MEXICANS INTO THE U.S. USING A NESTED LOGIT MODEL.
title_full STUDYING IMMIGRATION PATTERNS OF MEXICANS INTO THE U.S. USING A NESTED LOGIT MODEL.
title_fullStr STUDYING IMMIGRATION PATTERNS OF MEXICANS INTO THE U.S. USING A NESTED LOGIT MODEL.
title_full_unstemmed STUDYING IMMIGRATION PATTERNS OF MEXICANS INTO THE U.S. USING A NESTED LOGIT MODEL.
title_sort studying immigration patterns of mexicans into the u.s. using a nested logit model.
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/170233
_version_ 1681101224325152768