Maternal circumstances and intergenerational transmission of health: A model-based recursive partitioning approach
Dweepobotee Brahma1, Souvik Ghosh2
1Indian Institute of Technology, Jodhpur, India.
Abstract:
This paper investigates how different maternal circumstances affect the intergenerational transmission of health from mother to infants differentially. Using a novel model-based recursive partitioning algorithm from the Machine Learning literature that uses econometric tests for parameter instability, this study identifies different circumstance profiles characterized by varying coefficients of intergenerational health transmission. Results exhibit considerable heterogeneity by both short-run and long run markers of maternal health and reveal that a global model for investigating intergenerational transmission is inadequate. Worse-off circumstances have stronger intergenerational transmission rates of maternal health to newborns. The results have implications for building more targeted social safety net policies and improve our understanding of how to break intergenerational cycles of ill-health.
Related Concept Videos
Mechanistic Models: Compartment Models in Individual and Population Analysis
Survival Tree
Building a Survival Tree
Constructing a...
Regression Toward the Mean
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Behavioral Genetics and Its Designs
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
Pedigree Analysis

