Markus Sauerberg

Markus Sauerberg

Research Scientist

Federal Institute for Population Research

Biography

My research interest focuses generally on analyzing and understanding health and mortality levels and trends. I am a big R fan and enjoy causal coding and data vizualisation. Further, the methodological challanges of measuring health and mortality caught my interest. This webpage includes mainly information on my research but I might also post about not work-related topics.

Download my resumé.

Interests
  • Socioeconomic differences in health and mortality
  • Gender differences in health and mortality
  • Mathematical demography
  • Life table techniques
  • Data vizualisation
Education

  • PhD in Social Sciences and Economic, 2021

    Vienna University of Economics and Business

  • European Doctoral School of Demography, 2017

    Sapienza University of Rome

  • MSc in Demography, 2016

    University of Rostock

  • BA Social Sciences, 2014

    University of Rostock

Recent Publications

Evaluating Spatial, Cause-Specific and Seasonal Effects of Excess Mortality Associated with the COVID-19 Pandemic: The Case of Germany, 2020
Evaluating mortality effects of the COVID-19 pandemic using all-cause mortality data for national populations is inevitably associated …
PDF DOI
Sex differences in cause-specific mortality: regional trends in seven European countries, 1996–2019
Male excess mortality is mostly related to non-biological factors, and is thus of high social- and health-policy concern. Previous …
PDF DOI
Different health systems – Different mortality outcomes? Regional disparities in avoidable mortality across German-speaking Europe, 1992–2019
Evaluating the impact of health systems on premature mortality across different countries is a very challenging task, as it is hardly …
PDF DOI
The Sensitivity of the Healthy Life Years Indicator: Approaches for Dealing with Age-Specific Prevalence Data
The Healthy Life Years (HLY) indicator is the official European Union indicator and a cornerstone of many health policies used in over …
PDF DOI
Comparing Cohort Survival in Good Health: A Research Note on Decomposing Sex Differentials in the United States
We introduce a method for decomposing differences in healthy cross-sectional average length of life (HCAL). HCAL provides an …
PDF DOI
Comparing Cohort Survival in Good Health: A Research Note on Decomposing Sex Differentials in the United States
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Projects

Shiny App for testing prevalence smoothing

Shiny App for testing prevalence smoothing

I built this app in cooporation with my colleague Vanessa Di Lego.

Levels and trends of health expectancy

Levels and trends of health expectancy

Understanding its measurement and estimation sensitivity

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Regional Disparities in Cause-Specific Mortality in Europe (REDIM)

Regional Disparities in Cause-Specific Mortality in Europe (REDIM)

Investigating regional disparities in mortality

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Recent & Upcoming Talks

PAA 2021 in session: Socioeconomic Status and Mortality in Europe
The paper’s name is: Assessing Population Health on the Basis of Healthy Life Expectancy in 16 European Countries: Educational …
May 7, 2021 1:00 PM USA, online conference

Recent Posts

Calculating Median Age at Death and Modal Age at Death with Decimals
Background Longevity is often measured through time trends in the mean age at death (MAD). In addition to MAD, there are two other interesting metrics, which can be calculated from life table functions.
Last updated on Dec 21, 2021 8 min read
Calculating Median Age at Death and Modal Age at Death with Decimals
Period life expectancy in Germany
Death counts in Germany between 2019 and 2020 In the light of the COVID-19 pandemic, researchers and journalists were highly interested in comparing the observed number of deaths in 2020 with annual death counts from previous years.
Last updated on Aug 19, 2021 9 min read
Period life expectancy in Germany
Encrypting (pass)words in R
Generate a strong password from an easy one
Last updated on Jul 14, 2021 7 min read
Encrypting (pass)words in R
Reconstruction life table functions from life expectancy
This R code might help you reconstructing life table functions when only ex is known
Last updated on Jul 4, 2021 5 min read Demography
Reconstruction life table functions from life expectancy

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