General higher education plays a critical role in human capital formation, economic development, and social mobility. In India, state-level higher education systems display significant variation in institutional capacity, enrollment growth, and resource allocation. Rajasthan has experienced rapid extension in general higher education institutions over the past few decades; however, the relationship between educational inputs and outputs remains deficiently studied. This study models the production function of general higher education in Rajasthan using the Autoregressive Distributed Lag (ARDL) approach. The study examines the impression of key inputs such as the number of institutions, faculty strength, government expenditure, and infrastructure capacity on educational output measured through student enrollment and graduates. The ARDL bounds testing framework is in work to analyze both short-run dynamics and long-run equilibrium relationships among variables. The findings points that faculty strength and government expenditure significantly power higher education output in the long run, while infrastructure capacity subscribe to short-run adjustments. The study finds that effective resource allocation and institutional strengthening are important to improve the productivity and efficiency of general higher education in Rajasthan.