자료유형  

 학위논문

Control Number  

0016934561

International Standard Book Number  

9798380484145

Dewey Decimal Classification Number  

910

Main Entry-Personal Name  

Lal, Apoorva.

Publication, Distribution, etc. (Imprint  

[S.l.] : Stanford University., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(220 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-04, Section: A.

General Note  

Advisor: Hainmueller, Jens;Acharya, Avidit.

Dissertation Note  

Thesis (Ph.D.)--Stanford University, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약This dissertation is comprised of four chapters, which are united by their focus on the applications of machine learning methods to improve the robustness and flexibility of causal inference strategies commonly used by social scientists. Chapter 1 proposes methods that use spatial smoothing techniques to flexibly adjust for unobserved spatial confounders for observational causal inference problems. Chapter 2 examines the robustness of instrumental variables strategies in a decade's worth of published articles in political science and provides guidelines for empirical practice related to inference with weak instruments. Chapter 3 introduces a framework for estimating treatment effects by combining predictions from machine learning models with weights that balance observable characteristics across treatment and control groups in a variety of data settings frequently encountered by social scientists. Chapter 4 applies these methods to the question of whether private election funding affected turnout and votes for the democratic party in the 2020 election, and finds scant evidence in favor of popular narratives that these grants swung the election.

Subject Added Entry-Topical Term  

Election results.

Subject Added Entry-Topical Term  

Geography.

Subject Added Entry-Topical Term  

Presidential elections.

Subject Added Entry-Topical Term  

Political science.

Added Entry-Corporate Name  

Stanford University.

Host Item Entry  

Dissertations Abstracts International. 85-04A.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:643579