combine_classifications

Combine hierarchical classifications by stacking one classification after
another.

Most price indexes are made with a two-step procedure, where
period-over-period elementary indexes are first calculated for a collection
of elementary aggregates at each point in time, and then aggregated according
to a price index aggregation structure. These indexes can then be chained
together to form a time series that gives the evolution of prices with
respect to a fixed base period. This package contains a collection of
functions that revolve around this work flow, making it easy to build
standard price indexes, and implement the methods described by
Balk (2008, <doi:10.1017/CBO9780511720758>), von der Lippe (2007,
<doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020,
<doi:10.5089/9781484354841.069>) for bilateral price indexes.

Steve Martin

piar

Price Index Aggregation

combine_classifications function

<dl><dt>...</dt>
<dd>A collection of lists, one for each classification, each giving
the "digits" that represent each level in the hierarchy, as made
by <code>expand_classification()</code> or <code>split_classification()</code>.</dd>
<dt>sep</dt>
<dd>A character used to separate the classifications in <code>...</code>. The
default separates levels across classifications by <code>"."</code>.</dd></dl>

Arguments

Combine hierarchical classifications — combine_classifications

<dl>

<dt>...</dt>
<dd>A collection of lists, one for each classification, each giving
the "digits" that represent each level in the hierarchy, as made
by <code>expand_classification()</code> or <code>split_classification()</code>.</dd>


<dt>sep</dt>
<dd>A character used to separate the classifications in <code>...</code>. The
default separates levels across classifications by <code>"."</code>.</dd>

</dl>

combine_classifications: Combine hierarchical classifications

Description

Usage

Value

Arguments

Examples