Logo
Munich Personal RePEc Archive

Inflation Persistence and Involuntary Unemployment in Pakistan: A Keynesian Econometric Study

Boughabi, Houssam (2025): Inflation Persistence and Involuntary Unemployment in Pakistan: A Keynesian Econometric Study.

[thumbnail of MPRA_paper_126294.pdf]
Preview
PDF
MPRA_paper_126294.pdf

Download (482kB) | Preview

Abstract

This paper develops a stochastic Keynesian model linking inflation, unemployment, and GDP. Inflation follows a fractional Brownian motion, capturing persistent shocks, while a temporal convolutional network forecasts conditional paths, allowing machine learning to account for nonlinear interactions and long-memory effects. Unemployment responds conditionally to inflation thresholds, permitting involuntary joblessness, while GDP depends on both variables, reflecting aggregate demand and labor market frictions. The model is applied to Pakistan, simulating macroeconomic dynamics under alternative policy scenarios. We demonstrate that sustained growth is possible even under persistent inflation, reinforcing the empirical relevance of Keynesian theory in contemporary macroeconomic analysis and highlighting the value of machine learning for policy evaluation.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.