Curriculum vitæ
Professional experience
2021-
Data economist, Insee, Paris.
Summer 2020
Intern at the division Research and Development of the NBB (National Bank of Belgium), Bruxelles, Belgique.
2017 - 2019
Methodologist on Seasonal and Working Day Adjustments (SA-WDA), Insee, Paris.
2019 -
Reviewer for the journals, Statéco Journal of Official Statistics, Statistical Journal of the IAOS and International Journal of Operational Research.
2015 - 2017
Short-term economic analysis officer in the manufacturing industry, INSEE, Paris.
Summer 2013
Intern research officer at the International Relations Department at the INE (Instituto Nacional de Estadística), Madrid, Spain.
Education
2020 -
2019 - 2021
National School of Statistics and Economic Administration (ENSAE).
2014 - 2015
Master of Science in statistics-econometrics, specialisation in official statistics and statistical studies, ENSAI / Université Rennes 1.
2013 - 2014
Bachelor of Economics in Science of organizations and markets, applied economics, Université Paris-Dauphine.
2012 - 2013
Bachelor of Science in Mathematics equivalent, Université Rennes 1.
2012 - 2014
National School for Statistics and Information Analysis, France (ENSAI).
2010 - 2012
Post-secondary preparatory school in Mathematics, Physics and Computer Science (France’s Grandes écoles), Lycée Carnot, Dijon.
Publications / Interventions
Publications
Quartier-la-Tente A. (2024), “Real-time trend-cycle estimation: the contribution of asymmetric moving averages”, Document méthodologique de l’Insee (French article).
Babet D., Lequien M., Quartier-la-Tente A. (2022), “The contribution of macroeconomic models to simulate the effects of higher energy import prices”, Conjoncture in France, March, p. 16-17.
Quartier-la-Tente A. (2022), “Real-time detection of turning points: the contribution of asymmetric filters to turning-point detection”, 13e Journées de Méthodologie Statistique (French article).
Ladiray D., Quartier-la-Tente A. (2018), “The good use of Reg-ARIMA models in seasonal adjustment”, 13e Journées de Méthodologie Statistique (French article).
Pham H., Quartier-la-Tente A. (2018), “Seasonal adjustment of very long time series by sub- period, advantages and choice of the estimate length”, 13e Journées de Méthodologie Statistique (French article).
Dortet-Bernadet V., Lenseigne F., Parent C., Quartier-la-Tente A., Stoliaroff-Pépin A-M., Plouhinec C. (2016), “After two years of turbulence, the French aeronautical sector is ready to take off again”, Conjoncture in France, December, p. 19-37.
Glotain M., Quartier-la-Tente A. (2015), “New sub-sector business climate indicators to improve economic outlook analysis”, Conjoncture in France, June, p. 35-54.
Quartier-la-Tente A. (2015), “To what extent does the integration of sub-sectoral information improve the quality of manufacturing production forecasting?”, Master’s thesis.
Interventions
package
tvCoef, implementing time-varying coefficients models has never been so easy (2023), Workshop on Time Series Analysis and Statistical Disclosure Control Methods for Official Statistics.With Abbas R., Carnot N., Lequien M., Roux S., L’effet macro-économique de la transition bas carbone (2023), Séminaire D2E.
Manipuler les moyennes mobiles avec R et JDemetra+ (2023), Rencontres R.
With du Campe de Rosamel C. (6-month internship), Utilisation de modèles de régression à coefficients variant dans le temps pour la prévision conjoncturelle (2023), Atelier D2E.
R and JDemetra+ 3.0: A new toolbox around seasonal adjustment and time series analysis (2022), 2nd Workshop on Time Series Methods for Official Statistics, uRos.
Trend-cycle extraction and moving average manipulations in R with the rjdfilters package (2022), 4th Seasonal Adjustment Practitioners Workshop.
Estimation en temps réel de la tendance-cycle : Apport de l’utilisation des filtres asymétrique (2022), 1ère Journée d’Économétrie Appliquée « Michel TERRAZA ».
Performance of asymmetric filters for trend-cycle extraction - Application to the COVID-19 crisis (2021), JSM (2021).
Performance of asymmetric filters for trend-cycle extraction - Application to the COVID-19 crisis (2021), New Techniques and Technologies for Statistics (NTTS).
Leading and participating in a Hackathon on RJDemetra (two days, 2019), Deutsche Bundesbank, Francfort.
RJDemetra: an R interface to JDemetra+ (2019), Seasonal Adjustment Center of Excellence (SACE) Meeting #6, New Techniques and Technologies for Statistics (NTTS), Seasonal Adjustment Expert Group (SAEG), useR!2019.
Ladiray D. et Quartier-la-Tente A. (2019), (In)Stability of Reg-ARIMA Models for Seasonal Adjustment, New Techniques and Technologies for Statistics (NTTS).
R and JDemetra+: RJDemetra and rjdqa (2018), Seasonal Adjustment Center of Excellence (SACE) Meeting #5.
Trainings
2022-
Trainer on time series analysis with R (12h), CEPE, Paris.
2021-2022
Lecturer in time series analysis, ENSAE, Paris.
2021
Seasonal with JDemetra+ et RJDemetra (24h), RTE, Paris.
2019-
Trainer on seasonal and working days adjustment (SA-WDA) (24h), CEPE, Paris.
2017 - 2019
Trainer on seasonal and working days adjustment (SA-WDA),INSEE, Paris.
2016
Lecturer in introduction to the statistical software , ENSAE, Paris.
Coopérations
Mauritius (2023)
Technical assistance on the production monthly indicators of economic growth (MIEG).
Cameroun (2023)
Technical assistance on the production of seasonally adjusted and working day adjusted of Quarterly National Accounts (QNA).
Togo (2023)
Technical assistance on the production of seasonally adjusted and working day adjusted of Quarterly National Accounts (QNA) and Monthly Indicators of Economic Growth (MIEG).
Mauritania (2022)
Technical assistance on the construction of index of industrial production (IIP) and on seasonal adjustment.
North Macedonia (2022)
Technical assistance on liquidity forecasting to the National Bank of North Macedonia.
Honduras (2022)
Technical assistance on liquidity forecasting to the Central Bank of Honduras.
Senegal (2020)
Trainer on manipulation and forecast of time series with (5 days), BCEAO.
Paris (2018)
Technical assistance on seasonal adjustment methods to a Serbian Delegation.
Europe (2017-)
Member of the Eurostat seasonal adjustment center of Excellence: reflections on seasonal adjustment methods; development of R packages around JDemetra+, maintenance and distribution. Technical assistance to several European countries.
Senegal (2017)
Paris (2016)
Technical assistance on the use of business surveys in forecasting National Accounts to a Serbian Delegation.