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The Macroeconomic Trilemma: Balancing GDP Growth, Full Employment, and Inflation Control Through Coordinated Policy Design

Year: 2024
Type: article
Abstract: The macroeconomic trilemma represents one of the most persistent challenges facing modern policymakers: the simultaneous pursuit of robust GDP growth, full employment, and price stability. This paper examines the theoretical foundations and practical implications of coordinating fiscal, monetary, and structural policies to optimize outcomes across these three critical macroeconomic objectives. Through analysis of empirical data from advanced economies and India between 2000-2023, we demonstrate that traditional approaches treating these objectives as mutually exclusive often result in suboptimal outcomes and policy volatility. Our findings suggest that coordinated policy design, incorporating dynamic feedback mechanisms and forward-looking indicators, can significantly improve the trade-offs inherent in the trilemma. We develop a framework for integrated policy coordination that considers the temporal dimensions of policy transmission, sectoral heterogeneity, and external economic shocks. The analysis reveals that countries employing coordinated approaches achieve more stable long-term outcomes, with reduced volatility in key indicators and improved resilience to external shocks. Notably, emerging markets like India face additional coordination challenges due to institutional constraints and development priorities, yet show significant potential for improvement through targeted institutional reforms. However, successful coordination requires strong institutional frameworks, clear communication channels between policy bodies, and adaptive mechanisms to respond to changing economic conditions. The paper concludes with policy recommendations for enhancing coordination mechanisms and suggests areas for future research in dynamic macroeconomic policy optimization.
Author: G. Nagoji
Institution: Osmania University
Language: English
Open Access status: hybrid
OpenAlex ID: W7084066965
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