Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
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Updated
Jul 16, 2024 - Python
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
R package of useful functions for one-sample Mendelian randomization and instrumental variable analyses
R package implementing nonparametric bounds for the ACE due to Balke and Pearl, JASA, 1997
IV diagnostics package accompanying Lal, Lockhart, Xu, and Zu (2023).
ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable
Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
Replication of Networks in Conflict Econometrica Paper
Stata package for one-sample Mendelian randomization / instrumental variable analyses
Starter Pack About Mendelian Randomization. My Feedback about MR traning followed in 2020.
The context of this repo is sharing the empiric work presented as my MPA thesis on July 2023. The research is title is: "Remittances vs Public Finance Capacity. Impact Assessment in Reducing Income Inequality in Latin America: A Quasi-Experimental Analysis"
Graphical Instrumental Variable Estimation and Testing
Causal effect of DACA on labor market outcomes. Run difference-in-differences models for immigrants near the criteria cutoffs for DACA eligibility and investigate the causal effect of DACA on labor market outcomes of local residents.
Code for ForestIV
This is an R package I developed to estimate the causal effect of an exposure on an outcome when there's invalid instruments and large proportions of contamination.
Econometrics research project of children's impact on women's project using STATA coding.
Linear regression models for Python
Estimation and inference of a directed acyclic graph with unspecified interventions.
A Stata module for an instrumental variables correlated random coefficients estimator.
PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference
Simulations of MR analyses with time-varying exposures using structural mean models
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