語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Using Large-Scale Administrative Tax...
~
Derby, Elena.
FindBook
Google Book
Amazon
博客來
Using Large-Scale Administrative Tax Data to Assess Housing and Retirement Policies.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Using Large-Scale Administrative Tax Data to Assess Housing and Retirement Policies./
作者:
Derby, Elena.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
196 p.
附註:
Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
Contained By:
Dissertations Abstracts International81-12B.
標題:
Economics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27957046
ISBN:
9798645497293
Using Large-Scale Administrative Tax Data to Assess Housing and Retirement Policies.
Derby, Elena.
Using Large-Scale Administrative Tax Data to Assess Housing and Retirement Policies.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 196 p.
Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
Thesis (Ph.D.)--Georgetown University, 2020.
This item must not be sold to any third party vendors.
In this dissertation I use administrative tax data to evaluate two policies in the fields of low income housing and retirement. In particular, I construct novel data sets to assess whether growing up in housing constructed under the Low Income Housing Tax Credit leads to higher educational attainment and earnings later in life, and to measure the effect of automatic enrollment in firm-sponsored retirement plans on individual and household savings. On the topic of housing, I find that each additional year spent in LIHTC housing as a child is associated with an average 3.9 percent increase in the likelihood of attending a higher education program for four years or more, and a 5.2 percent increase in future earnings. I conclude that the reason I see a positive LIHTC effect is likely that the housing subsidy provides families with a more stable living situation and with more disposable income. On the topic of retirement, I estimate an increase in plan participation of 32.4 percentage points due to automatic enrollment, and a more modest increase in average saving of 0.9 percentage points, with a negative nudge towards lower default rates for employees who opted in prior to the policy change. However, I also find that automatic enrollment leads to a 36.1 percent increase in withdrawals taken from other retirement accounts, and that this completely offsets the increase in contributions from firm-sponsored retirement plans for employees in the bottom wage quintile, although the net effects remain positive for employees with higher wages.
ISBN: 9798645497293Subjects--Topical Terms:
517137
Economics.
Subjects--Index Terms:
Automatic enrollment
Using Large-Scale Administrative Tax Data to Assess Housing and Retirement Policies.
LDR
:02671nmm a2200349 4500
001
2273523
005
20201109122548.5
008
220629s2020 ||||||||||||||||| ||eng d
020
$a
9798645497293
035
$a
(MiAaPQ)AAI27957046
035
$a
AAI27957046
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Derby, Elena.
$3
3550975
245
1 0
$a
Using Large-Scale Administrative Tax Data to Assess Housing and Retirement Policies.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2020
300
$a
196 p.
500
$a
Source: Dissertations Abstracts International, Volume: 81-12, Section: B.
500
$a
Advisor: Levinson, Arik.
502
$a
Thesis (Ph.D.)--Georgetown University, 2020.
506
$a
This item must not be sold to any third party vendors.
520
$a
In this dissertation I use administrative tax data to evaluate two policies in the fields of low income housing and retirement. In particular, I construct novel data sets to assess whether growing up in housing constructed under the Low Income Housing Tax Credit leads to higher educational attainment and earnings later in life, and to measure the effect of automatic enrollment in firm-sponsored retirement plans on individual and household savings. On the topic of housing, I find that each additional year spent in LIHTC housing as a child is associated with an average 3.9 percent increase in the likelihood of attending a higher education program for four years or more, and a 5.2 percent increase in future earnings. I conclude that the reason I see a positive LIHTC effect is likely that the housing subsidy provides families with a more stable living situation and with more disposable income. On the topic of retirement, I estimate an increase in plan participation of 32.4 percentage points due to automatic enrollment, and a more modest increase in average saving of 0.9 percentage points, with a negative nudge towards lower default rates for employees who opted in prior to the policy change. However, I also find that automatic enrollment leads to a 36.1 percent increase in withdrawals taken from other retirement accounts, and that this completely offsets the increase in contributions from firm-sponsored retirement plans for employees in the bottom wage quintile, although the net effects remain positive for employees with higher wages.
590
$a
School code: 0076.
650
4
$a
Economics.
$3
517137
650
4
$a
Home economics.
$3
551902
653
$a
Automatic enrollment
653
$a
Low income housing
653
$a
Public economics
653
$a
Retirement
690
$a
0501
690
$a
0386
710
2
$a
Georgetown University.
$b
Economics.
$3
1065101
773
0
$t
Dissertations Abstracts International
$g
81-12B.
790
$a
0076
791
$a
Ph.D.
792
$a
2020
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27957046
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9425757
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入