Related Experiment Video
Updated: May 2, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Macroeconomic effects on mortality revealed by panel analysis with nonlinear trends
Edward L Ionides1, Zhen Wang1, José A Tapia Granados2
1Department of Statistics, The University of Michigan, Ann Arbor, Michigan, USA.
Economic activity influences mortality rates, with mortality rising during economic expansions. This study introduces a new method, finding procyclical mortality across all age groups and specific causes like respiratory disease and traffic injuries.
Area of Science:
- Public Health
- Econometrics
- Epidemiology
Background:
- Established consensus on procyclical mortality (rising during economic expansions).
- Inconsistencies in previous studies regarding age groups and causes of death.
- Identified trend specification in panel models as a source of inconsistency.
Purpose of the Study:
- To investigate the relationship between economic activity fluctuations and mortality.
- To address inconsistencies in prior research by proposing an alternative methodology.
- To provide more precise and consistent findings on age-specific and cause-specific mortality.
Main Methods:
- Critique of standard econometric panel analysis using ordinary least squares.
- Proposal and application of an alternative methodology based on nonlinear detrending.
- Analysis of data for 50 US states from 1980 to 2006.
Main Results:
- Procyclical mortality observed across all age groups.
- Clear procyclical mortality linked to respiratory disease and traffic injuries.
- Cardiovascular disease mortality predominantly procyclical; suicide mortality countercyclical, with significant state-level variation.
- No significant macroeconomic association found for cancer or homicide mortality.
Conclusions:
- Nonlinear detrending improves precision and consistency in analyzing economic activity and mortality.
- Confirms procyclical mortality across all age groups and highlights specific causes.
- Reveals significant heterogeneity in the macroeconomic associations of cardiovascular disease and suicide mortality.
Related Concept Videos
Applications of Life Tables
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Assumptions of Survival Analysis
Life Tables
Nonlinear Pharmacokinetics: Causes of Nonlinearity
Nonlinear drug absorption can occur when the process is rate-limited by solubility, carrier-mediated transport systems, or saturation of the presystemic gut wall or hepatic metabolism. For instance, high doses of riboflavin...
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
