# Uncertainty in Economic Growth and Inequality

## TL;DR

This paper explores the role of uncertainty in economic growth and inequality by deconstructing causality, establishing aggregation laws, and reconstructing models to reveal structural connections in U.S. GDP and income data.

## Contribution

It introduces a novel framework linking uncertainty, aggregation laws, and structural models to better understand growth and inequality dynamics.

## Key findings

- Identifies invariance principles across individuals.
- Reconstructs models revealing deeper structural connections.
- Analyzes U.S. GDP and income data to support theoretical insights.

## Abstract

A step to consilience, starting with a deconstruction of the causality of uncertainty that is embedded in the fundamentals of growth and inequality, following a construction of aggregation laws that disclose the invariance principle across heterogeneous individuals, ending with a reconstruction of metric models that yields deeper structural connections via U.S. GDP and income data.