Example datasets used in Quartier-la-Tente (2025).
Format
An object of class ts of length 177.
An object of class mts (inherits from ts, matrix, array) with 416 rows and 3 columns.
An object of class mts (inherits from ts, matrix, array) with 766 rows and 2 columns.
An object of class mts (inherits from ts, matrix, array) with 84 rows and 6 columns.
An object of class ts of length 590.
Details
cars_registrations: Monthly new passenger car registrations in France, published in October 2024.french_ipi: Monthly Industrial Production Index (IPI) in France for crude petroleum, motor vehicles, and manufacturing, published in October 2024.fred: The seriesCE16OV(Civilian Employment Level) andRETAILx(Retail and Food Services Sales) from the FRED-MD database, published in November 2022.simulated_data: Simulated trends of degree 0, 1, and 2 with an Additive Outlier (AO) or Level Shift (LS) in January 2022.etip: Expected trend in production (balance of opinion) in the French manufacturing industry, published in May 2024 in the monthly business survey in goods-producing industries by INSEE.
References
Quartier-la-Tente, A. (2025). Estimation de la tendance-cycle avec des méthodes robustes aux points atypiques. https://github.com/AQLT/robustMA. McCracken, Michael W., et Serena Ng. 2016. FRED-MD: A Monthly Database for Macroeconomic Research. Journal of Business & Economic Statistics 34 (4): 574‑89. doi:10.1080/07350015.2015.1086655 .