a<p>Variables are defined in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0065625#pone-0065625-t001" target="_blank">Table 1</a>.</p>b<p>the number of observations for the quantile model is smaller than for the combined model because the quantile model includes the series of <i>%change</i> variables. We lose 134 observations due to calculating changes (as opposed to values associated with each data collection visit.</p>*<p>significant at 10%;</p>**<p>significant at 5%;</p>***<p>significant at 1%.</p
I consider the problem of estimating the effect of a health care reform on the frequency of individu...
<p>Model A shows differences in claimed mean payments and model B differences in claimed number of f...
Coefficients represent the difference in anthropometric indicators comparing children 6–24 months as...
<p>Notes: Original FE refers to the fixed effects model shown in <a href="http://www.plosone.org/art...
Quantile regression model has caught a lot of attention lately in many areas including statistics an...
<p><i>Note</i>: Robust standard errors in parentheses. This table depicts estimated regression coeff...
Mean regression versus quantile regression I Most methods for studying covariate effects focus on me...
Mean regression versus quantile regression I Most methods for studying covariate effects focus on me...
Quantile regression have its advantage properties comparing to the OLS model regression which are fu...
The ability of quantile regression models to characterize the heterogeneous impact of variables on d...
This article studies the relationship between the two most-used quantile models with endogeneity: th...
<p>Notes: 1. *** significant at 1%, ** significant at 5% and * significant at 10%; 2. Standard error...
1<p>Significant effects are shown in bold. An effect of a categorical covariate is rated as signific...
<p><sup>a</sup>Cumulative years of two biological parents in the house before age 18</p><p><sup>b</s...
In the social sciences, and beyond, we are often interested in the impact of factors on some outcome...
I consider the problem of estimating the effect of a health care reform on the frequency of individu...
<p>Model A shows differences in claimed mean payments and model B differences in claimed number of f...
Coefficients represent the difference in anthropometric indicators comparing children 6–24 months as...
<p>Notes: Original FE refers to the fixed effects model shown in <a href="http://www.plosone.org/art...
Quantile regression model has caught a lot of attention lately in many areas including statistics an...
<p><i>Note</i>: Robust standard errors in parentheses. This table depicts estimated regression coeff...
Mean regression versus quantile regression I Most methods for studying covariate effects focus on me...
Mean regression versus quantile regression I Most methods for studying covariate effects focus on me...
Quantile regression have its advantage properties comparing to the OLS model regression which are fu...
The ability of quantile regression models to characterize the heterogeneous impact of variables on d...
This article studies the relationship between the two most-used quantile models with endogeneity: th...
<p>Notes: 1. *** significant at 1%, ** significant at 5% and * significant at 10%; 2. Standard error...
1<p>Significant effects are shown in bold. An effect of a categorical covariate is rated as signific...
<p><sup>a</sup>Cumulative years of two biological parents in the house before age 18</p><p><sup>b</s...
In the social sciences, and beyond, we are often interested in the impact of factors on some outcome...
I consider the problem of estimating the effect of a health care reform on the frequency of individu...
<p>Model A shows differences in claimed mean payments and model B differences in claimed number of f...
Coefficients represent the difference in anthropometric indicators comparing children 6–24 months as...