東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Essays on Applied Econometrics /

University of Washington., Economics.

Linked to FindBook

Google Book

Amazon

博客來

Essays on Applied Econometrics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Essays on Applied Econometrics // Felipe Carneiro de Figueredo.
Author:	Carneiro de Figueredo, Felipe,
Description:	1 electronic resource (157 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 87-01, Section: B.
Contained By:	Dissertations Abstracts International87-01B.
Subject:	Home economics. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32043774
ISBN:	9798288823862

Essays on Applied Econometrics /
Carneiro de Figueredo, Felipe,

Essays on Applied Econometrics /Felipe Carneiro de Figueredo. - 1 electronic resource (157 pages)

Source: Dissertations Abstracts International, Volume: 87-01, Section: B.

This dissertation consists of three essays in applied econometrics that explore experimental, quasi-experimental, and observational methodologies to study political behavior, infrastructure-driven labor market change, and price elasticity of demand estimation.The first chapter examines the causal impact of spatial proximity on legislative behavior by exploiting the randomized allocation of offices in the Brazilian Chamber of Deputies. The analysis finds that legislators assigned to neighboring offices are significantly more likely to vote alike in contested decisions-an effect amplified when at least one legislator is a policy expert, such as a committee member. The results provide empirical support for cue-taking theories of legislative decision-making, suggesting that informal physical proximity enhances the influence of expertise, particularly in closely divided votes.The second chapter evaluates the labor market impacts of Brazil's broadband expansion policy using a regression discontinuity design (RDD) on about 2,000 municipalities covered by microwave radio technology. The findings reveal heterogeneous effects: while the policy stimulates job creation among low-educated workers and in commerce-related sectors, it simultaneously reduces hours worked and wages, especially for highly educated individuals, skilled occupations, and women in services. These findings highlight the inherent trade-offs of digital infrastructure policies, wherein the same technological improvements that foster inclusiveness and job growth can also precipitate labor market disruptions, possibly through automation and substitution effects.The third chapter applies a new approach to estimating price elasticity of demand by combining double machine learning (DML) with multimodal embeddings derived from product descriptions and images. This combination offers two key advantages. First, the embeddings capture rich, high-dimensional signals of product quality that are often unobserved but crucial in shaping both prices and consumer demand. By leveraging visual and textual features, the method provides a data-driven way to control for latent quality differences across products. Second, DML allows for flexible, machine-learning-based estimation of complex relationships-such as how price and demand depend on covariates-while still delivering valid causal estimates. Together, these tools offer a powerful solution to the endogeneity problem in demand estimation, substantially reducing bias from unobserved quality.Together, these essays demonstrate how causal inference can be empirically applied to diverse data environments to uncover the mechanisms shaping legislative peer effects, labor market outcomes, and consumer behavior.

English

ISBN: 9798288823862Subjects--Topical Terms:

551902
Home economics.
Subjects--Index Terms:

Applied econometrics

Essays on Applied Econometrics /
LDR:04151nmm a22004333i 4500 001 2427611
005 20260911085211.5
006 m o d
007 cr|nu|||||||||
008 260929s2025 miu||||||m |||||||eng d
020 $a 9798288823862
035 $a (MiAaPQD)AAI32043774
035 $a AAI32043774
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Carneiro de Figueredo, Felipe, $e author. $3 3814570
245 1 0 $a Essays on Applied Econometrics / $c Felipe Carneiro de Figueredo.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2025
300 $a 1 electronic resource (157 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 87-01, Section: B.
500 $a Advisors: Heath, Rachel Committee members: Griffith, Alan; O'Dea, Denis.
502 $b Ph.D. $c University of Washington $d 2025.
520 $a This dissertation consists of three essays in applied econometrics that explore experimental, quasi-experimental, and observational methodologies to study political behavior, infrastructure-driven labor market change, and price elasticity of demand estimation.The first chapter examines the causal impact of spatial proximity on legislative behavior by exploiting the randomized allocation of offices in the Brazilian Chamber of Deputies. The analysis finds that legislators assigned to neighboring offices are significantly more likely to vote alike in contested decisions-an effect amplified when at least one legislator is a policy expert, such as a committee member. The results provide empirical support for cue-taking theories of legislative decision-making, suggesting that informal physical proximity enhances the influence of expertise, particularly in closely divided votes.The second chapter evaluates the labor market impacts of Brazil's broadband expansion policy using a regression discontinuity design (RDD) on about 2,000 municipalities covered by microwave radio technology. The findings reveal heterogeneous effects: while the policy stimulates job creation among low-educated workers and in commerce-related sectors, it simultaneously reduces hours worked and wages, especially for highly educated individuals, skilled occupations, and women in services. These findings highlight the inherent trade-offs of digital infrastructure policies, wherein the same technological improvements that foster inclusiveness and job growth can also precipitate labor market disruptions, possibly through automation and substitution effects.The third chapter applies a new approach to estimating price elasticity of demand by combining double machine learning (DML) with multimodal embeddings derived from product descriptions and images. This combination offers two key advantages. First, the embeddings capture rich, high-dimensional signals of product quality that are often unobserved but crucial in shaping both prices and consumer demand. By leveraging visual and textual features, the method provides a data-driven way to control for latent quality differences across products. Second, DML allows for flexible, machine-learning-based estimation of complex relationships-such as how price and demand depend on covariates-while still delivering valid causal estimates. Together, these tools offer a powerful solution to the endogeneity problem in demand estimation, substantially reducing bias from unobserved quality.Together, these essays demonstrate how causal inference can be empirically applied to diverse data environments to uncover the mechanisms shaping legislative peer effects, labor market outcomes, and consumer behavior.
546 $a English
590 $a School code: 0250
650 4 $a Home economics. $3 551902
650 4 $a Behavioral psychology. $3 2122788
653 $a Applied econometrics
653 $a Causal inference
653 $a Regression discontinuity design
653 $a Consumer behavior
653 $a Labor market
690 $a 0501
690 $a 0386
690 $a 0384
710 2 $a University of Washington. $b Economics. $e degree granting institution. $3 3814571
720 1 $a Heath, Rachel $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 87-01B.
790 $a 0250
791 $a Ph.D.
792 $a 2025
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32043774