WageData

These data come from the years 1976-1982 in the Panel Study of
Income Dynamics (PSID), with information about the demographics
and earnings of 595 individuals.

datasets

Provides an object type and associated tools for storing and
wrangling panel data. Implements several methods for creating regression
models that take advantage of the unique aspects of
panel data. Among other capabilities, automates the "within-between"
(also known as "between-within" and "hybrid") panel regression specification
that combines the desirable aspects of both fixed effects and random effects
econometric models and fits them as multilevel models
(Allison, 2009 <doi:10.4135/9781412993869.d33>;
Bell & Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be
estimated via generalized estimating equations
(GEE; McNeish, 2019 <doi:10.1080/00273171.2019.1602504>) and Bayesian
estimation is (optionally) supported via 'Stan'.
Supports estimation of asymmetric effects models via first differences
(Allison, 2019 <doi:10.1177/2378023119826441>) as well as a generalized
linear model extension thereof using GEE.

Jacob A. Long

panelr

Regression Models and Utilities for Repeated Measures and Panel
Data

WageData function

A data frame with 4165 rows and 14 variables:<dl>
<dt>id</dt>
<dd>Unique identifier for each survey respondent</dd><dt>t</dt>
<dd>A number corresponding to each wave of the survey, 1 through 7</dd><dt>wks</dt>
<dd>Weeks worked in the past year</dd><dt>lwage</dt>
<dd>Natural logarithm of earnings in the past year</dd><dt>union</dt>
<dd>Binary indicator whether respondent is a member of union
(1 = union member)</dd><dt>ms</dt>
<dd>Binary indicator for whether respondent is married (1 = married)</dd><dt>occ</dt>
<dd>Binary indicator for whether respondent is a blue collar (= 0) or
white collar (= 1) worker.</dd><dt>ind</dt>
<dd>Binary indicator for whether respondent works in
manufacturing (= 1)</dd><dt>south</dt>
<dd>Binary indicator for whether respondent lives in the South (= 1)</dd><dt>smsa</dt>
<dd>Binary indicator for whether respondent lives in a
standard metropolitan area (SMSA; = 1)</dd><dt>fem</dt>
<dd>Binary indicator for whether respondent is female (= 1)</dd><dt>blk</dt>
<dd>Binary indicator for whether respondent is African-American (= 1)</dd><dt>ed</dt>
<dd>Years of education</dd><dt>exp</dt>
<dd>Years in the workforce.</dd>
</dl>

Format

Earnings data from the Panel Study of Income Dynamics — WageData

A data frame with 4165 rows and 14 variables:<dl>
<dt>id</dt>
<dd>Unique identifier for each survey respondent</dd>

<dt>t</dt>
<dd>A number corresponding to each wave of the survey, 1 through 7</dd>

<dt>wks</dt>
<dd>Weeks worked in the past year</dd>

<dt>lwage</dt>
<dd>Natural logarithm of earnings in the past year</dd>

<dt>union</dt>
<dd>Binary indicator whether respondent is a member of union
(1 = union member)</dd>

<dt>ms</dt>
<dd>Binary indicator for whether respondent is married (1 = married)</dd>

<dt>occ</dt>
<dd>Binary indicator for whether respondent is a blue collar (= 0) or
white collar (= 1) worker.</dd>

<dt>ind</dt>
<dd>Binary indicator for whether respondent works in
manufacturing (= 1)</dd>

<dt>south</dt>
<dd>Binary indicator for whether respondent lives in the South (= 1)</dd>

<dt>smsa</dt>
<dd>Binary indicator for whether respondent lives in a
standard metropolitan area (SMSA; = 1)</dd>

<dt>fem</dt>
<dd>Binary indicator for whether respondent is female (= 1)</dd>

<dt>blk</dt>
<dd>Binary indicator for whether respondent is African-American (= 1)</dd>

<dt>ed</dt>
<dd>Years of education</dd>

<dt>exp</dt>
<dd>Years in the workforce.</dd>


</dl>

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WageData: Earnings data from the Panel Study of Income Dynamics

Description

Usage

Arguments

Format