Lutz Kilian, Professor of Economics, received his Ph.D. in Economics from the University of Pennsylvania in 1996 and his M.A. in Development Banking from The American University in 1988. He joined the faculty at Michigan in 1996. Prior to his Ph.D., he worked for the research department of the Inter-American Development Bank in Washington, DC. During 2001-03 he served as an adviser to the European Central Bank in Frankfurt/M., Germany. Professor Kilian has been a research visitor at the Federal Reserve Board, the European Central Bank, and the International Monetary Fund. He has also been a consultant for the International Monetary Fund, the Inter-American Development Bank, the World Trade Organization, the European Central Bank, the Bank of Canada, and the European Parliament, among others. Professor Kilian has published over 50 articles. His work has appeared in leading general interest and field journals in economics and statistics. His research interests include time series econometrics, empirical macroeconomics, and energy economics. Most of his recent research has concerned itself with the sources of fluctuations in the price of oil and with the transmission of energy price shocks. He has also published on topics in empirical macroeconomics and in international finance including the specification of monetary policy rules, the quantification of deflation risks, the role of sticky prices in business cycle models, and exchange rate predictability. Finally, he has worked extensively on topics in time series econometrics with a special focus on bootstrap methods of inference for autoregressions, on impulse response analysis, on forecasting, and on testing predictability. Over the years, Professor Kilian has been an Associate Editor of the Journal of Business and Economic Statistics, the Journal of Development Economics, and theJournal of Economic Dynamics and Control, among other journals. He is a research fellow of the Centre for Economic Policy Analysis, the Center for Financial Studies, and the Euro Area Business Cycle Network.