compute_Betastar

<code>compute_Betastar</code> computes the plug-in efficient betahat

Efficiently estimates treatment effects in settings with randomized staggered rollouts, using tools
proposed by Roth and Sant'Anna (2023) <doi:10.48550/arXiv.2102.01291>.

Pedro H.C. Sant'Anna

staggered

Efficient Estimation Under Staggered Treatment Timing

Jonathan Roth

compute_Betastar function

<dl><dt>Ybar_g_list</dt>
<dd>Ybar_g_list</dd>
<dt>A_theta_list</dt>
<dd>A_theta_list</dd>
<dt>A_0_list</dt>
<dd>A_0_list</dd>
<dt>S_g_list</dt>
<dd>S_g_list</dd>
<dt>N_g_list</dt>
<dd>N_g_list</dd>
<dt>Xvar_list</dt>
<dd>Xvar_list</dd></dl>

Arguments

Plug-in efficient Beta hat — compute_Betastar

<dl>

<dt>Ybar_g_list</dt>
<dd>Ybar_g_list</dd>


<dt>A_theta_list</dt>
<dd>A_theta_list</dd>


<dt>A_0_list</dt>
<dd>A_0_list</dd>


<dt>S_g_list</dt>
<dd>S_g_list</dd>


<dt>N_g_list</dt>
<dd>N_g_list</dd>


<dt>Xvar_list</dt>
<dd>Xvar_list</dd>

</dl>

compute_Betastar: Plug-in efficient Beta hat

Description

Usage

Value

Arguments