Professor Kelvin Balcombe’s work has often focused on the econometrics of food demand, and the estimation of models involving productivity and production, but he has maintained interests in many areas within micro and macroeconomics, both within the agricultural sector and outside it.
Topics he has worked on include, Cointegration, Bootstrapping in Time Series Analysis, (Bayesian) Stochastic Frontiers, Random Parameter Models, Monte Carlo methods in Project Planning, Bootstrapping DEA, Choice Modelling, Genetic Algorithms and (Min)Maximum Entropy. Over the past couple of years he has become more interested and occupied with Bayesian approaches and the treatment of misreporting in choice experiments.