Published Paper Details:

Abstract This research paper presents an econometric investigation into the intricate relationship between gender inequality, operationalized through the female labour force participation rate (LFPR), and aggregate economic growth, measured by Gross Domestic Product (GDP) per capita, specifically within the Indian macroeconomic context. Employing a robust time-series econometric methodology, including Phillips-Perron (PP) unit root tests, Johansen cointegration analysis, and both short-run and long-run error correction models (ECM), this study aims to quantify the directional impact and magnitude of these key macroeconomic variables. The empirical findings reveal a statistically significant long-run equilibrium relationship, highlighting the substantial influence of female labour force participation on India's economic trajectory. Furthermore, other pertinent macroeconomic indicators such as gross fixed capital formation (GFCF), population growth rate (PGR), and secondary school enrollment (SSE) are incorporated into the model to provide a comprehensive analytical framework. The Granger causality test is also conducted to elucidate the lead-lag dynamics between LFPR and GDP per capita. This study contributes to the extant literature by providing rigorous empirical evidence on the economic ramifications of gender equality in a major emerging economy, thereby offering data-driven insights for evidence-based policymaking aimed at fostering inclusive and sustainable economic development in India.