Dagar is a PhD in Economics [Major - Agriculture; Minor - Environment and Energy]. His research focuses on micro & macro level data sets. He uses to predict shocks with data analysis techniques like ARDL, ARIMA, ANN etc. to provide best alternatives of natural input resources. He develops production functions frontiers with SFA and DEA models to measure technical efficiency. He also uses predictive data analytics techniques i.e. ML-AI for treatment/simulation processes to improve productivity.