exports.m

exports.q

imports.q

sales.a

sales.q

<p>This data set contains the monthly and quarterly imports and exports of the
chemical and pharmaceutical industry in Switzerland (in in millions of Swiss
Francs) as well as their quarterly and annual sales (Index).</p>

datasets

Temporal disaggregation methods are used to disaggregate and
interpolate a low frequency time series to a higher frequency series, where
either the sum, the mean, the first or the last value of the resulting
high frequency series is consistent with the low frequency series. Temporal
disaggregation can be performed with or without one or more high frequency
indicator series. Contains the methods of Chow-Lin, Santos-Silva-Cardoso,
Fernandez, Litterman, Denton and Denton-Cholette, summarized in Sax and
Steiner (2013) <doi:10.32614/RJ-2013-028>. Supports most R time series
classes.

Christoph Sax

tempdisagg

Methods for Temporal Disaggregation and Interpolation of Time
Series

Peter Steiner

Tommaso Di Fonzo

exports.m function

<p>Each time series is an object of class <code>"ts"</code>. The number of
observations depends on the frequency.</p>

Format

Trade and Sales of Chemical and Pharmaceutical Industry — exports.m

Trade and Sales of Chemical and Pharmaceutical Industry

exports.m: Trade and Sales of Chemical and Pharmaceutical Industry

Description

Arguments

Format