語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Essays in Public Economics and Applied Econometrics.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Essays in Public Economics and Applied Econometrics.
作者:
Jeong, Sookyo.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, 2021
面頁冊數:
149 p.
附註:
Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
附註:
Advisor: Duggan, Mark.
Contained By:
Dissertations Abstracts International83-05B.
標題:
Pollutants.
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28688377
ISBN:
9798544204367
Essays in Public Economics and Applied Econometrics.
Jeong, Sookyo.
Essays in Public Economics and Applied Econometrics.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 149 p.
Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
Thesis (Ph.D.)--Stanford University, 2021.
This item must not be sold to any third party vendors.
This dissertation consists of two chapters of in-depth empirical analyses in the domain of public economics, and one chapter of causal inference methodology regarding distributional robustness. The first chapter is titled ``The Effect of Air Pollution on Academic Performances: Evidence from South Korea, " and investigates the causal effect of air pollution on academic performances. While the effect of air pollution on health has been extensively studied, little is known about its effect on education, especially in a causal context. Here, I exploit the unique geography of Korea and a meteorological phenomenon called Asian Dust Storm (ADS) to get exogenous shocks of air pollution carried by the wind from China. Using two stage least squares regression, I find that an increase in particulate matter (PM10) leads to an increase in the share of students who underperform, while its effect on the share of students who overperform is not different from zero. I find similar results for elementary and middle school test outcomes, and find that air pollution disproportionately affects the types of schools associated with low socioeconomic status. Looking at both short term and long term effect of air pollutants, I find that air pollution has both acute and cumulative effect on the academic performances of the students. I explore health as a mechanism through which air pollution affects academic outcomes, and find that the most detrimental effect comes from the most harmful to health pollutants—PM10 and ozone—and do not find any evidence of preemptive absenteeism or mobilization due to air pollution on the school level. The second chapter, co-authored with Mark Duggan, Irena Dushi, and Gina Li, is titled ``The Effects of Changes in Social Security's Delayed Retirement Credit: Evidence from Administrative Data." The delayed retirement credit (DRC) increases monthly OASI (Old Age and Survivors Insurance) benefits for primary beneficiaries who claim after their full retirement age (FRA). For many years, the DRC was set at 3.0 percent per year (0.25 percent monthly). The 1983 amendments to Social Security more than doubled this actuarial adjustment to 8.0 percent per year. These changes were phased in gradually, so that those born in 1924 or earlier retained a 3.0 percent DRC while those born in 1943 or later had an 8.0 percent DRC. In this paper, we use administrative data from the Social Security Administration (SSA) to estimate the effect of this policy change on individual claiming behavior. We focus on the first half of the DRC increase (from 3.0 to 5.5 percent) given changes in other SSA policies that coincided with the later increases. Our findings demonstrate that the increase in the DRC led to a significant increase in delayed claiming of social security benefits and strongly suggest that the effects were larger for those with higher lifetime incomes, who would have a greater financial incentive to delay given their longer life expectancies. The third chapter, co-authored with Hongseok Namkoong, is titled `Robust Causal Inference Under Covariate Shift via Worst-Case Subpopulation Treatment Effects." In this chapter, we propose the worst-case treatment effect (WTE) across all subpopulations of a given size, a conservative notion of topline treatment effect. Compared to the average treatment effect (ATE), whose validity relies on the covariate distribution of collected data, WTE is robust to unanticipated covariate shifts, and positive findings guarantee uniformly valid treatment effects over subpopulations. We develop a semiparametrically efficient estimator for the WTE, leveraging machine learning-based estimates of the heterogeneous treatment effect and propensity score. By virtue of satisfying a key (Neyman) orthogonality property, our estimator enjoys central limit behavior---oracle rates with true nuisance parameters---even when estimates of nuisance parameters converge at slower rates. For both randomized trials and observational studies, we establish a semiparametric efficiency bound, proving that our estimator achieves the optimal asymptotic variance. On real datasets where robustness to covariate shift is of core concern, we illustrate the non-robustness of ATE under even mild distributional shift, and demonstrate that the WTE guards against brittle findings that are invalidated by unanticipated covariate shifts.
ISBN: 9798544204367Subjects--Topical Terms:
188241
Pollutants.
Essays in Public Economics and Applied Econometrics.
LDR
:05600nmm a2200433 4500
001
616458
005
20220513114342.5
008
220920s2021 ||||||||||||||||| ||eng d
020
$a
9798544204367
035
$a
(MiAaPQ)AAI28688377
035
$a
(MiAaPQ)STANFORDym770yc8819
035
$a
AAI28688377
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Jeong, Sookyo.
$3
915758
245
1 0
$a
Essays in Public Economics and Applied Econometrics.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2021
300
$a
149 p.
500
$a
Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
500
$a
Advisor: Duggan, Mark.
502
$a
Thesis (Ph.D.)--Stanford University, 2021.
506
$a
This item must not be sold to any third party vendors.
520
$a
This dissertation consists of two chapters of in-depth empirical analyses in the domain of public economics, and one chapter of causal inference methodology regarding distributional robustness. The first chapter is titled ``The Effect of Air Pollution on Academic Performances: Evidence from South Korea, " and investigates the causal effect of air pollution on academic performances. While the effect of air pollution on health has been extensively studied, little is known about its effect on education, especially in a causal context. Here, I exploit the unique geography of Korea and a meteorological phenomenon called Asian Dust Storm (ADS) to get exogenous shocks of air pollution carried by the wind from China. Using two stage least squares regression, I find that an increase in particulate matter (PM10) leads to an increase in the share of students who underperform, while its effect on the share of students who overperform is not different from zero. I find similar results for elementary and middle school test outcomes, and find that air pollution disproportionately affects the types of schools associated with low socioeconomic status. Looking at both short term and long term effect of air pollutants, I find that air pollution has both acute and cumulative effect on the academic performances of the students. I explore health as a mechanism through which air pollution affects academic outcomes, and find that the most detrimental effect comes from the most harmful to health pollutants—PM10 and ozone—and do not find any evidence of preemptive absenteeism or mobilization due to air pollution on the school level. The second chapter, co-authored with Mark Duggan, Irena Dushi, and Gina Li, is titled ``The Effects of Changes in Social Security's Delayed Retirement Credit: Evidence from Administrative Data." The delayed retirement credit (DRC) increases monthly OASI (Old Age and Survivors Insurance) benefits for primary beneficiaries who claim after their full retirement age (FRA). For many years, the DRC was set at 3.0 percent per year (0.25 percent monthly). The 1983 amendments to Social Security more than doubled this actuarial adjustment to 8.0 percent per year. These changes were phased in gradually, so that those born in 1924 or earlier retained a 3.0 percent DRC while those born in 1943 or later had an 8.0 percent DRC. In this paper, we use administrative data from the Social Security Administration (SSA) to estimate the effect of this policy change on individual claiming behavior. We focus on the first half of the DRC increase (from 3.0 to 5.5 percent) given changes in other SSA policies that coincided with the later increases. Our findings demonstrate that the increase in the DRC led to a significant increase in delayed claiming of social security benefits and strongly suggest that the effects were larger for those with higher lifetime incomes, who would have a greater financial incentive to delay given their longer life expectancies. The third chapter, co-authored with Hongseok Namkoong, is titled `Robust Causal Inference Under Covariate Shift via Worst-Case Subpopulation Treatment Effects." In this chapter, we propose the worst-case treatment effect (WTE) across all subpopulations of a given size, a conservative notion of topline treatment effect. Compared to the average treatment effect (ATE), whose validity relies on the covariate distribution of collected data, WTE is robust to unanticipated covariate shifts, and positive findings guarantee uniformly valid treatment effects over subpopulations. We develop a semiparametrically efficient estimator for the WTE, leveraging machine learning-based estimates of the heterogeneous treatment effect and propensity score. By virtue of satisfying a key (Neyman) orthogonality property, our estimator enjoys central limit behavior---oracle rates with true nuisance parameters---even when estimates of nuisance parameters converge at slower rates. For both randomized trials and observational studies, we establish a semiparametric efficiency bound, proving that our estimator achieves the optimal asymptotic variance. On real datasets where robustness to covariate shift is of core concern, we illustrate the non-robustness of ATE under even mild distributional shift, and demonstrate that the WTE guards against brittle findings that are invalidated by unanticipated covariate shifts.
590
$a
School code: 0212.
650
4
$a
Pollutants.
$3
188241
650
4
$a
Womens health.
$3
915759
650
4
$a
Achievement tests.
$3
367118
650
4
$a
Health risks.
$3
915760
650
4
$a
Academic achievement.
$3
291871
650
4
$a
Mortality.
$3
329225
650
4
$a
Elementary schools.
$3
915761
650
4
$a
Health risk assessment.
$3
193080
650
4
$a
Air pollution.
$3
216256
650
4
$a
School systems.
$3
915762
650
4
$a
Middle schools.
$2
fast
$3
790305
650
4
$a
Secondary schools.
$2
bicssc
$3
533442
650
4
$a
Middle school education.
$3
844506
650
4
$a
Public health.
$3
209444
650
4
$a
Secondary education.
$3
915763
650
4
$a
Atmospheric chemistry.
$3
281533
650
4
$a
Atmospheric sciences.
$3
886604
650
4
$a
Chemistry.
$3
188628
650
4
$a
Education.
$3
177995
650
4
$a
Educational evaluation.
$3
180577
650
4
$a
Educational tests & measurements.
$3
826957
650
4
$a
Elementary education.
$3
915764
650
4
$a
Health care management.
$3
730398
690
$a
0450
690
$a
0573
690
$a
0533
690
$a
0371
690
$a
0725
690
$a
0485
690
$a
0515
690
$a
0443
690
$a
0288
690
$a
0524
690
$a
0769
690
$a
0454
710
2
$a
Stanford University.
$3
212607
773
0
$t
Dissertations Abstracts International
$g
83-05B.
790
$a
0212
791
$a
Ph.D.
792
$a
2021
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28688377
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
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
000000208551
電子館藏
1圖書
電子書
EB 2021
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28688377
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入