print.tsls

methods.tsls

summary.tsls

Objects of class <code>tsls</code> are constructed by <code>tsls</code>. 
<code>print.tsls</code> prints and displays some information about fitted <code>tsls</code> objects.
<code>summary.tsls</code> summarizes information of a fitted <code>tsls</code> object.

Implementation of selected high-dimensional statistical and
econometric methods for estimation and inference. Efficient estimators and
uniformly valid confidence intervals for various low-dimensional causal/
structural parameters are provided which appear in high-dimensional
approximately sparse models. Including functions for fitting heteroscedastic
robust Lasso regressions with non-Gaussian errors and for instrumental variable
(IV) and treatment effect estimation in a high-dimensional setting. Moreover,
the methods enable valid post-selection inference and rely on a theoretically
grounded, data-driven choice of the penalty.
Chernozhukov, Hansen, Spindler (2016) <arXiv:1603.01700>.

Martin Spindler

High-Dimensional Metrics

Victor Chernozhukov

Christian Hansen

Philipp Bach

print.tsls function

<dl><dt>x</dt>
<dd>an object of class <code>tsls</code></dd>
<dt>digits</dt>
<dd>significant digits in printout</dd>
<dt>...</dt>
<dd>arguments passed to the print function and other methods</dd>
<dt>object</dt>
<dd>an object of class <code>tsls</code></dd></dl>

Arguments

Methods for S3 object tsls — print.tsls

<dl>

<dt>x</dt>
<dd>an object of class <code>tsls</code></dd>


<dt>digits</dt>
<dd>significant digits in printout</dd>


<dt>...</dt>
<dd>arguments passed to the print function and other methods</dd>


<dt>object</dt>
<dd>an object of class <code>tsls</code></dd>

</dl>

print.tsls: Methods for S3 object `tsls`

Description

Usage

Arguments