ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable
نویسندگان
چکیده
We present a unified R software ivmodel for analyzing instrumental variables with one endogenous variable. The package implements a general class of estimators, k-class estimators, and two confidence intervals that are fully robust to weak instruments. The package also provides power formulas. Finally, the package contains methods for sensitivity analysis to examine the sensitivity to the the instrumental variables assumptions. We demonstrate the software on the data set from Card (1995), looking at the causal effect of levels of education on log earnings where the instrument is the proximity to a four-year college.
منابع مشابه
Improved Inference in Weakly Identified Instrumental Variables Regression
It is now well known that standard asymptotic inference techniques for instrumental variable estimation may perform very poorly in the presence of weak instruments. In some circumstances, standard asymptotic techniques give spuriously small standard errors, leading investigators to apparently tight confidence regions which may be very far from the true parameter of interest. While much research...
متن کاملInstrumental quantile regression inference for structural and treatment effect models
We introduce a class of instrumental quantile regression methods for heterogeneous treatment effect models and simultaneous equations models with nonadditive errors and offer computable methods for estimation and inference. These methods can be used to evaluate the impact of endogenous variables or treatments on the entire distribution of outcomes. We describe an estimator of the instrumental v...
متن کاملA Nonlinear Model of Economic Data Related to the German Automobile Industry
Prediction of economic variables is a basic component not only for economic models, but also for many business decisions. But it is difficult to produce accurate predictions in times of economic crises, which cause nonlinear effects in the data. Such evidence appeared in the German automobile industry as a consequence of the financial crisis in 2008/09, which influenced exchange rates and a...
متن کاملInference on the Instrumental Quantile Regression Process for Structural and Treatment Effect Models
We introduce a class of instrumental quantile regression methods for heterogeneous treatment effect models and simultaneous equations models with nonadditive errors and offer computable methods for estimation and inference. These methods can be used to evaluate the impact of endogenous variables or treatments on the entire distribution of outcomes. We describe an estimator of the instrumental v...
متن کاملReliability analysis of rubble-mound breakwaters against the failure due to the armor layer instability based on the fuzzy random variables theory: A case study of Anzali Port breakwater
Breakwaters are among the most frequently-used coastal protective structures and their stability is vital to avoid turbulence at the ports. The main purpose of the present research is to use the theory of fuzzy random variables and the second-order reliability method (SORM) to study the reliability of a rubble-mound breakwater against the failure due to the armor layer instability. The limit-st...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015