Profile

Senior statistician and economist with more than 15 years of experience in official statistics, CPI, HICP and inflation analysis at Statistics Sweden. I work at the intersection of statistics, economics and programming, with a focus on statistical production, index methodology, methodological development, quality assurance and analytical tools.

My experience includes European expert groups, international statistical capacity development and publications in price statistics, inflation analysis and applied economic analysis.

Areas of expertise

Statistics and analysis
CPI/HICP, inflation analysis, index methodology, time series, statistical production and quality assurance.
Programming and data
R, Shiny, Python, SAS, SQL, VBA, Linux shell scripting, Git/GitHub.
Databases and platforms
PostgreSQL, MS SQL, MySQL, MongoDB, Cassandra, Spark, Kafka, Airflow.
Visualisation
Shiny, Google Looker, SAS Visual Analytics, Plotly.

Selected projects

HICP / CPI Analysis App

Interactive R/Shiny application for analysing CPI/HICP, inflation contributions, weights, seasonality and international comparisons.

This is a personal hobby project developed outside my employment. The purpose is to explore interactive tools for inflation analysis, statistical visualisation and reproducible analysis workflows.

GitHub

CPI, HICP and inflation measures

Production, analysis and development of consumer price indices, harmonised consumer price indices and alternative inflation measures.

International statistical work

Experience from European working groups and statistical capacity development in Kenya, Kosovo, Mali and Somalia.

Publications and conference papers

  1. Carlsson, E. & Nilsson, P., “Inflationsstatistiken behöver bli mer jämförbar mellan länder” [Inflation statistics need to become more comparable between countries], Statistics Sweden, Sveriges ekonomi – statistiskt perspektiv, issue 3, 2020.
  2. Carlsson, E. & Ståhl, O., “Svårt att räkna KPI i coronatider” [Difficulties in calculating the CPI during the coronavirus pandemic], Statistics Sweden, Sveriges ekonomi – statistiskt perspektiv, issue 2, 2020.
  3. Carlsson, E., Johansson, J., Löf, M., Nilsson, P., Tongur, C. (2018), “Price persistence of services in the Swedish CPI”. Joint paper with Sveriges Riksbank, presented at the UNECE Conference “Group of Experts on Consumer Price Indices”. Available online: UNECE.
  4. Sterner, T. and Carlsson E. (2011), “Distributional effects in Europe”, chapter in Fuel Taxes and the Poor - The Distributional Effects of Gasoline Taxation and Their Implications for Climate Policy, ed. Thomas Sterner, RFF Press/Routledge, Oxford, UK.
  5. Sterner, T., Cao, J., Carlsson E. and Robinson, E. (2011), “Conclusions”, chapter in Fuel Taxes and the Poor - The Distributional Effects of Gasoline Taxation and Their Implications for Climate Policy, ed. Thomas Sterner, RFF Press/Routledge, Oxford, UK.
  6. Ahola, H., Carlsson, E. and Sterner, T. (2009), “Är bensinskatten regressiv?” [Is the gasoline tax regressive?], issue 2, Ekonomisk Debatt.

Peer review

Journal of Official Statistics, 2020–2021. Verification: Web of Science profile.

Continuing education and certificates