• grf

  • Referenced in 31 articles [sw27871]
  • statistical estimation and inference. GRF currently provides methods for non-parametric least-squares regression, quantile ... treatment effect estimation (optionally using instrumental variables). This package is currently in beta...
  • ADE-4

  • Referenced in 8 articles [sw14077]
  • component regression), projection methods like principal component analysis on instrumental variables, canonical correspondence analysis...
  • MendelianRandomization

  • Referenced in 2 articles [sw16703]
  • package MendelianRandomization. Encodes several methods for performing Mendelian randomization analyses with summarized data. Summarized data ... used for obtaining causal estimates using instrumental variable methods...
  • ImpactIV

  • Referenced in 1 article [sw23423]
  • Effect for Multi-Component Intervention Using Instrumental Variable Method. In this package, you can find ... randomization and multiple-component intervention using instrumental variable method...
  • CausalFX

  • Referenced in 2 articles [sw15417]
  • currently for binary data only. Methods include instrumental variable bounds, adjustment by a given covariate ... algorithm, and an effect bounding method (the Witness Protection Program) based on covariate adjustment with...
  • naivereg

  • Referenced in 1 article [sw36604]
  • Estimator and Related IV Methods. In empirical studies, instrumental variable (IV) regression is the signature ... empirical likelihood (GEL) methods post instrument selection, logistic-regression instrumental variables estimator (LIVE, for dummy ... logistic regression instrumental variable estimator (DS-LIVE), where the double selection methods are useful ... Zhong, ”Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective” (2018), Journal of Business...
  • hdm

  • Referenced in 7 articles [sw21313]
  • selected high-dimensional statistical and econometric methods for estimation and inference. Efficient estimators and uniformly ... instrumental variable (IV) and treatment effect estimation in a high-dimensional setting. Moreover, the methods...
  • boottest

  • Referenced in 5 articles [sw37419]
  • been extended to models estimated by instrumental variables and maximum likelihood and to ones where ... bootstrap methods in general, the wild bootstrap is especially useful when conventional inference methods ... clusters, few treated clusters, or weak instruments. The package boottest can perform a wide variety...
  • miivfind

  • Referenced in 2 articles [sw14635]
  • command for identifying model-implied instrumental variables for structural equation models in Stata. This article ... Sociological Methods and Research 32: 425–452) to find the model-implied instrumental variables (MIIVs...
  • rcal

  • Referenced in 7 articles [sw37357]
  • error. This paper discusses and illustrates the method of regression calibration. This is a straightforward ... proxies, and measurement error estimated by instrumental variables. The discussion focuses on software developed...
  • IVPOIS

  • Referenced in 1 article [sw31886]
  • estimate an instrumental variables Poisson regression via GMM. ivpois implements a Generalized Method of Moments...
  • REndo

  • Referenced in 0 articles [sw17790]
  • with endogenous regressor using latent instrumental variable approaches. The methods included in the package ... method that uses Gaussian copula and Kim and Frees’s (2007) multilevel generalized method ... endogeneity problem where no external instrumental variables are needed...
  • ADTEST

  • Referenced in 4 articles [sw07254]
  • optimization problem and, as a consequence, this method does not suffer from difficulties commonly found ... with input variable-dependent loops, array references, and module calls. Instead, program instrumentation is used...
  • IVREG2H

  • Referenced in 1 article [sw31887]
  • variables regression model providing the option to generate instruments using Lewbel’s (J.Bus.Ec.Stat., 2012) method...
  • CBPS

  • Referenced in 7 articles [sw17528]
  • prediction of treatment assignment. The method, therefore, avoids an iteration between model fitting and balance ... treatments with three- and four-valued treatment variables, continuous-valued treatments from Fong, Hazlett ... settings including the generalization of experimental and instrumental variable estimates. Recently add the optimal CBPS...
  • HNCcorr

  • Referenced in 3 articles [sw19188]
  • workhorse method in neuroscience to investigate patterns of neuronal activity. Instrumentation to acquire calcium imaging ... signals from calcium imaging movies are highly variable from lab to lab and more advanced...
  • QPBB

  • Referenced in 2 articles [sw31774]
  • paper studies a statistical problem called instrumental variable quantile regression (IVQR). We model IVQR ... globally. We also derive bounds on key variables in the problem, which are valid asymptotically ... increasing sample size. We compare our method with two well known global solvers...
  • BayesWave

  • Referenced in 2 articles [sw37797]
  • Bayesian inference for gravitational wave bursts and instrument glitches. A central challenge in gravitational wave ... transient signals are strongly impacted by the methods used to characterize the noise. Here ... Bayesian approach and introduce a multi-component, variable dimension, parameterized noise model that explicitly accounts ... data from interferometric gravitational wave detectors. Instrumental transients (glitches) and burst sources of gravitational waves...
  • pyvrft

  • Referenced in 2 articles [sw31382]
  • Python package for the data-driven control method known as Virtual Reference Feedback Tuning (VRFT ... processes using both least-squares and instrumental variable techniques. The package also provides accessory functions...
  • greybox

  • Referenced in 1 article [sw39666]
  • Model Building and Forecasting. Implements functions and instruments for regression model building and its application ... main scope of the package is in variables selection and models specification for cases ... results there are several methods that allow producing forecasts from these models and visualising them...