The present study was under taken in Karimnagar district of Andhra Pradesh to study the determinant of net income of farmers and effect of lagged prices on arrivals and current prices. Primary data was collected from a sample of 15 farmers. Secondary data includes prices and arrivals collected from Jammikunta agricultural market committee. Multiple linear regression analysis and auto regressive distributed lag models were used to analyze the data. In multiple linear regression analysis the coefficient of multiple determination R2 was 98. Area, expenses on production material and expenses on marketing services were found significantly influencing the income of the farmers by ` 27738, ` 0.40 and ` 0.80 respectively. Autoregressive distributed lag models for factors effecting arrivals, the coefficient of multiple determination showed that 95 percent of variation explained by the variables in the model. Current prices and lagged prices Pt-1 (one month lag) and lagged arrivals were found significantly influencing the current arrivals of maize by 0.001, 0.0006 and 0.466 quintal. Similarly Autoregressive distributed lag models for factors effecting current prices, the coefficient of multiple determination showed that 94 percent of variation was explained by the variables in the model. Lagged prices Pt-1 (one month lag), arrivals and lagged arrivals At-1 (one month lag) were found significantly influencing the current price of the maize. The current prices of the farmer would have been more by ` 0.445 if the lagged prices (Pt-1) were higher by one rupee.