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Are Universities Sticky? Evidence fr...

Deng, Jing.

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Are Universities Sticky? Evidence from LinkedIn Users in the U.S.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Are Universities Sticky? Evidence from LinkedIn Users in the U.S./
Author:	Deng, Jing.
Description:	55 p.
Notes:	Source: Masters Abstracts International, Volume: 53-01.
Contained By:	Masters Abstracts International53-01(E).
Subject:	Urban and Regional Planning. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1557750
ISBN:	9781303958021

Are Universities Sticky? Evidence from LinkedIn Users in the U.S.
Deng, Jing.

Are Universities Sticky? Evidence from LinkedIn Users in the U.S. - 55 p.

Source: Masters Abstracts International, Volume: 53-01.

Thesis (M.U.R.P.)--University of California, Los Angeles, 2014.

This study examines college-to-work migration of graduates in the United States using big data from the professional networking website LinkedIn, with a special focus on how the ratio of graduates staying at the areas of study changes over time and how universities affect the stay rate. A multivariate least squares regression model is adopted for analysis. The research finds over 40 percent of graduates graduated 2003--2012 have stayed in the areas of study, with the most recent graduates having the highest stay rate. Graduates from the more prestigious universities are more likely to migrate after graduation. Metropolitan size still dominates variations in stay rates. Strengths and limitations of big data are also explored in this study.

ISBN: 9781303958021Subjects--Topical Terms:

1017841
Urban and Regional Planning.

Are Universities Sticky? Evidence from LinkedIn Users in the U.S.
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245 1 0 $a Are Universities Sticky? Evidence from LinkedIn Users in the U.S.
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500 $a Source: Masters Abstracts International, Volume: 53-01.
500 $a Adviser: Michael Storper.
502 $a Thesis (M.U.R.P.)--University of California, Los Angeles, 2014.
520 $a This study examines college-to-work migration of graduates in the United States using big data from the professional networking website LinkedIn, with a special focus on how the ratio of graduates staying at the areas of study changes over time and how universities affect the stay rate. A multivariate least squares regression model is adopted for analysis. The research finds over 40 percent of graduates graduated 2003--2012 have stayed in the areas of study, with the most recent graduates having the highest stay rate. Graduates from the more prestigious universities are more likely to migrate after graduation. Metropolitan size still dominates variations in stay rates. Strengths and limitations of big data are also explored in this study.
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650 4 $a Education, Sociology of. $3 626654
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