Italy

Italian GDP growth panel for 21 regions covering the period 1951-1998
 (millions of Lire, 1990=base). There are 1008 observations in total.

datasets

Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.

Jeffrey Racine

Nonparametric Kernel Smoothing Methods for Mixed Data Types

Jeffrey S. Racine

Tristen Hayfield

Italy function

A data frame with 2 columns, and 1008 rows.<dl>
 <dt>year</dt>
<dd>the first column, of type <code>ordered</code></dd>
 <dt>gdp</dt>
<dd>the second column, of type <code>numeric</code>: millions of
 Lire, 1990=base</dd> 
</dl>

Format

Italian GDP Panel — Italy

A data frame with 2 columns, and 1008 rows.<dl>
 <dt>year</dt>
<dd>the first column, of type <code>ordered</code></dd>


 <dt>gdp</dt>
<dd>the second column, of type <code>numeric</code>: millions of
 Lire, 1990=base</dd>

 
</dl>

Italy: Italian GDP Panel

Description

Usage

Arguments

Format

References

Examples