Sgenerate

internal

Without imposing stringent distributional assumptions or shape restrictions, nonparametric estimation has been popular in economics and other social sciences for counterfactual analysis, program evaluation, and policy recommendations. This package implements a novel density (and derivatives) estimator based on local polynomial regressions, documented in Cattaneo, Jansson and Ma (2022) <doi:10.18637/jss.v101.i02>: lpdensity() to construct local polynomial based density (and derivatives) estimator, and lpbwdensity() to perform data-driven bandwidth selection.

Xinwei Ma

lpdensity

Local Polynomial Density Estimation and Inference

Michael Jansson

Sgenerate function

<dl><dt>p</dt>
<dd>Nonnegative integer, polynomial order.</dd>
<dt>low, up</dt>
<dd>Scalar, between -1 and 1, the region of integration.</dd>
<dt>kernel</dt>
<dd>String, the kernel function.</dd></dl>

Arguments

Internal function. — Sgenerate

<dl>

<dt>p</dt>
<dd>Nonnegative integer, polynomial order.</dd>


<dt>low, up</dt>
<dd>Scalar, between -1 and 1, the region of integration.</dd>


<dt>kernel</dt>
<dd>String, the kernel function.</dd>

</dl>

Sgenerate: Internal function.

Description

Usage

Value

Arguments