turnover_catering

<p>An monthly time series containing the turnover indicator in accommodation and food services
from january 1999 to april 2022, as retrieved the 04/07/2022.</p>

internal

The twoStepsBenchmark() and threeRuleSmooth() functions allow you to
disaggregate a low-frequency time series with higher frequency time series,
using the French National Accounts methodology. The aggregated sum of the
resulting time series is strictly equal to the low-frequency time series within the
benchmarking window. Typically, the low-frequency time series is an annual one,
unknown for the last year, and the high frequency one is either quarterly or
monthly. See "Methodology of quarterly national accounts", Insee Méthodes
N°126, by Insee (2012, ISBN:978-2-11-068613-8, <https://www.insee.fr/en/information/2579410>).

Pauline Meinzel

disaggR

Two-Steps Benchmarks for Time Series Disaggregation

Arnaud Feldmann

Thomas Laurent

Franck Arnaud

Institut national de la statistique et des études économiques 

turnover_catering function

Format

Turnover indicator in accommodation and food services — turnover_catering

Turnover indicator in accommodation and food services

turnover_catering: Turnover indicator in accommodation and food services

Description

Usage

Arguments

Format