skranz

skranz's Stars

• guardrails-ai/guardrails

  Adding guardrails to large language models.

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• paulgp/applied-methods-phd

  Repo for Yale Applied Empirical Methods PHD Course

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• grf-labs/grf

  Generalized Random Forests

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• SebKrantz/collapse

  Advanced and Fast Data Transformation in R

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• OpportunityInsights/EconomicTracker

  Download data from the Opportunity Insights Economic Tracker — https://tracktherecovery.org/

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• gsbDBI/ExperimentData

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• skranz/RTutor

  Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)

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• ekstroem/dataMaid

  An R package for data screening

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• TaddyLab/MBAcourse

  Material from the Big Data course at Chicago Booth

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• skranz/empecon

  Empirical Economics with R

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• jepusto/clubSandwich

  Cluster-robust (sandwich) variance estimators with small-sample corrections

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• r-hub/evercran

  Any version of R -- with the matching version of CRAN

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• skranz/MarketAnalysis

  Market Analysis Course with Interactive RTutor Problemsets, Videos and Quizzes

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• kolesarm/Robust-Small-Sample-Standard-Errors

  Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)

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• s3alfisc/fwildclusterboot

  Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.

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• TaddyLab/gamlr

  Gamma lasso regression

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• droodman/WildBootTests.jl

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• skranz/xsynthdid

  Simple function to adjust for covariates in synthdid

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• AEADataEditor/replication-template

  A template for starting a reproducibility check. For development, see https://github.com/AEADataEditor/replication-template-development

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• maxkasy/MetaStudiesApp

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• skranz/xglue

  Extended glue

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• alexaehle/RTutorEconomicImpactsofCOVID19

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• b-rodrigues/dockerized_pipeline_demo

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• ml4econ/notes-spring2019

  Lecture notes for "Machine Learning for Economists", spring 2019 at HUJI

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• peterpuetz2020/replication_repo_methods_matter_comment

  Replication of methods matter by Brodeur et al. (2020)

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• SimonMaier1995/Chinas-Political-Promotion-Incentives

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• TheresaGraefe/RTutorCarbonTax

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• julianlatzko/RTutorCompetitionPolicy

  Interactive Problem Set RTutorCompetitionPolicy

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• skranz/phack

  This R package implements the tests from Elliot et al. (2022) for detecting p-Hacking.

  Language:R210

• LeverageData/RTutor

  Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)

  Language:R120