A simulated population-level data set characterizing the effect of
purchasing mosquito nets, and the likelihood of contracting
malaria. A randomly assigned subsidy to purchase mosquito nets was
provided as part of an experiment. This data set is generated by
the (non-exported) command <code>gendist_mosquito()</code>. It is worth
noting that the unobservable terms are alreayd integrated out.

datasets

The marginal treatment effect was introduced by Heckman and
Vytlacil (2005) <doi:10.1111/j.1468-0262.2005.00594.x> to provide a
choice-theoretic interpretation to instrumental variables models that
maintain the monotonicity condition of Imbens and Angrist (1994)
<doi:10.2307/2951620>. This interpretation can be used to extrapolate from
the compliers to estimate treatment effects for other subpopulations. This
package provides a flexible set of methods for conducting this
extrapolation. It allows for parametric or nonparametric sieve estimation,
and allows the user to maintain shape restrictions such as monotonicity. The
package operates in the general framework developed by Mogstad, Santos and
Torgovitsky (2018) <doi:10.3982/ECTA15463>, and accommodates either point
identification or partial identification (bounds). In the partially
identified case, bounds are computed using linear programming. Support for
three linear programming solvers is provided. Gurobi and the Gurobi R API
can be obtained from <http://www.gurobi.com/index>. CPLEX can be obtained
from <https://www.ibm.com/analytics/cplex-optimizer>. CPLEX R APIs 'Rcplex'
and 'cplexAPI' are available from CRAN. The lp_solve library is freely
available from <http://lpsolve.sourceforge.net/5.5/>, and is included when
installing either of its R APIs, 'lpSolve' or 'lpSolveAPI', which are
available from CRAN.

Joshua Shea

ivmte

Instrumental Variables: Extrapolation by Marginal Treatment
Effects

Alexander Torgovitsky

dtm function

A data frame with 400 rows and 7 columns.<dl class="dl-horizontal">
 <dt>i</dt><dd>index for observation</dd>
 <dt>z</dt><dd>categorical variable for level of subsidy</dd>
 <dt>pz</dt><dd>probability of purchasing mosquito net</dd>
 <dt>d</dt><dd>indicator for whether or not mosquito net was purchased</dd><dt>ey0</dt><dd>counterfactual probability of contracting malaria
 conditional on not purchasing a mosquito net.</dd><dt>ey1</dt><dd>counterfactual probability of contracting malaria
 conditional on purchasing a mosquito net.</dd><dt>ey</dt><dd>the observed probability of contracting malaria.</dd>
</dl>

dtm: Mosquito data set

Description

Usage

Arguments

Format