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Econometrics.jl
Econometrics in JuliaWebDriver.jl
A WebDriver / JSON Wire Protocol Binding Compatible with Selenium for the Julia Language.UEM.jl
Unobserved Effects Models (Panel Data Econometrics) -> For Beta TestNCEI.jl
Interface for the National Centers for Environmental Information (NCEI) APIJulia-Ecosystem-Analysis
An analysis of the Julia ecosystem as it relates to OSS packages.DependenciesParser.jl
Dependency parser for JuliaSpringerQuarantineBooks.jl
A tool for downloading the Springer Quarantine Books.EconJobMarket.jl
Interface for the EconJobMarket Data API using the Julia programming languageEconUtils.jl
For DevLuxAI.jl
An agent for the Kaggle Lux AI ChallengeWorldBankDataDive2019ConflictSpendingAsia
DataDive 2019 Conflict and Spending in AsiaLaTeX_Style_cgu
A neat LaTeX class and template for producing manuscripts, dissertations, and others.Learning-the-GitHub-API
Tutorial on how to learn to consume the GitHub APIAEEIncidentes
UVA-SDS-Sample-Lecture
Materials relevant to the "On Campus" interview for the Teaching Track positionDonativosPol-ticosPR2020
Información de la Oficina del Contralor Electoral de PRActionSelenium
On-Cluster-Robust-Models-Old
Empirical work commonly deals with heterogeneous in treatment populations with potential clustered sampling design. Current approaches to overcome issues that arise in these cases include weighted least squares, fixed effects models, and cluster robust variance covariance estimators. However, the current solutions often offer sub-optimal performance or practitioners misuse them. This study examines possible disadvantages to using non-cluster robust models and alternative solutions. Some of the contributions include a framework to understand and develop cluster robust models with new advise for practitioners and practical considerations. (JEL C01)JBSC
PRLegVotos
Información sobre las votaciones de medidas legislativas de Puerto Rico.Love Open Source and this site? Check out how you can help us