Kajal Lahiri

Dr. KAJAL LAHIRI, Distinguished Professor of Economics and Health Policy Management at University at Albany – SUNY, works on methodological as well as varied applied topics dealing with macroeconomic forecasting and health. He has co-authored The Leading Economic Indicators – New Methods and Forecasting Records and Analysis of Panels and Limited Dependent Variable Models. Dr. Lahiri has over 90 professional articles in some of the most prestigious journals of the profession including the American Economic Review, Journal of the American Statistical Association, Econometrica, Journal of Econometrics, Journal of Applied econometrics, International Economic Review, Journal of the American Medical Association, and International journal of Forecasting. He is an Honorary Fellow of the International Institute of Forecasters.

Dr. Lahiri’s more recent work - the Transportation Services Index - measuring output in the transportation sector is reported monthly by U.S DOT, and hailed by Business Week as ”a new crystal ball for economists and investors to peer into." His current research deals with uncertainty and disagreement in survey data on point, probability, and density forecasts, and their implications for the conduct of monetary policy.

On various assignments, Dr. Lahiri has visited numerous institutions including the Australian National University, Beijing University, University of Tokyo, University of Florida, Xiamen University, University of Colorado, the City University of Hong Kong, World Bank, International Monetary Fund, Social Security Administration, and the U.S. Department of Transportation.

Dr. Lahiri is a recipient of grants and contracts from the National Science Foundation, National Academy of Sciences, the Ford Foundation, World Bank, U.S. Department of Transportation, and many others. He is a Fellow of CESifo Research Network, Germany, and currently serves on the editorial boards of Journal of Econometrics, International Journal of Forecasting, Empirical Economics, and Journal of Business Cycle Measurement and Analysis.