unemployment

USA's unemployment rate between 1929 and 2024

datasets

Conducts analyses for healthcare program evaluations or intervention
studies. Calculates regression analyses for standard ordinary least squares
(OLS or linear) or logistic models. Performs regression models used for
causal modeling such as differences-in-differences (DID) and interrupted
time series (ITS) models. Provides limited interpretations of model
results and a ranking of variable importance in models. Performs
propensity score models, top-coding of model outcome variables, and
can return new data with the newly formed variables. Conducts Bayesian
analysis summaries and graphs, decision curve analysis, and produces some
Shewhart control charts. Also performs Cronbach's alpha for various scale
items (e.g., survey questions). See Github URL for examples in the README
file. For more details on the statistical methods, see
Allen & Yen (1979, ISBN:0-8185-0283-5),
Angrist & Pischke (2009, ISBN:9780691120355),
Cohen (1988, ISBN:0-8058-0283-5),
Gebski (2012) <doi:10.1017/S0950268812000179>,
Gelman & Goodrich (2019) <doi:10.1080/00031305.2018.1549100>,
Harrell (2016, ISBN:978-3-319-19424-0),
Kline (1999, ISBN:9780415211581),
Kruschke (2014, ISBN:9780124058880),
Linden (2015) <doi:10.1177/1536867X1501500208>,
Merlo (2006) <doi:10.1136/jech.2004.029454>,
Muthen & Satorra (1995) <doi:10.2307/271070>,
Rabe-Hesketh & Skrondal (2008, ISBN:978-1-59718-040-5),
Ryan (2011, ISBN:978-0-470-59074-4), and
Vickers & Elkin (2006) <doi:10.1177/0272989X06295361>.

Stephen Zuniga

Healthcare Analysis Methods

unemployment function

<div class="section" id="unemployment">
<h3><code>unemployment</code></h3>
An artificial data frame with 96 rows and 5 columns:<dl>
<dt>Year</dt>
<dd>Calendar year as an integer from 1929 to 2024.</dd><dt> rate </dt>
<dd>Unemployment rate defined as the proportion of the US Labor Market that were unemployed.</dd><dt> event</dt>
<dd>Notable events in the United States that may have impacted the unemployment rate. Other than notable events (or unspecified) listed as 'other'.</dd><dt> year</dt>
<dd>Integer for the number of years for 1929 to 2024, ranging from 1 to 96.</dd><dt> usa</dt>
<dd>Value of 1 to indicate data for the USA.</dd>...</dl></div>

Format

USA's unemployment rate between 1929 and 2024 — unemployment

<div class='section' id='unemployment'>
<h3><code>unemployment</code></h3>


An artificial data frame with 96 rows and 5 columns:<dl>
<dt>Year</dt>
<dd>Calendar year as an integer from 1929 to 2024.</dd>

<dt> rate </dt>
<dd>Unemployment rate defined as the proportion of the US Labor Market that were unemployed.</dd>

<dt> event</dt>
<dd>Notable events in the United States that may have impacted the unemployment rate. Other than notable events (or unspecified) listed as 'other'.</dd>

<dt> year</dt>
<dd>Integer for the number of years for 1929 to 2024, ranging from 1 to 96.</dd>

<dt> usa</dt>
<dd>Value of 1 to indicate data for the USA.</dd>

...

</dl>

</div>

unemployment: USA's unemployment rate between 1929 and 2024

Description

Usage

Arguments

Format

`unemployment`