maynarda[at]uoguelph[dot]ca
Areas of Specialization: Applied Econometrics, Econometrics
Alex Maynard joined the Department of Economics at the University of Guelph in 2007, following positions at Wilfrid Laurier University and the University of Toronto. He has also spent a year visiting Cowles Foundation at Yale University and a year working as an economist at the Federal Reserve Board. He received his BA from Cornell University, and PhD from Yale University. His research topics have included the tests of unbiasedness and non-predictability, long-horizon regressions, causality testing, level crossing tests, structural impulse response functions, and applications of quanitle regression.
His research has been published, or is forthcoming, in journals including the Journal of Econometrics, Econometric Theory, The Review of Economics and Statistics, and the Journal of Business and Economic Statistics.
"Sensitivity of Impulse Responses to Small Low Frequency Co-movements: Reconciling the Evidence on the Effects of Technology Shocks" (with Nikolay Gospodinov and Elena Pesavento), Journal of Business and Economic Statistics (forthcoming).
"Persistence-robust Granger causality testing" (with Dietmar Bauer), Journal of Econometrics, Special Issues on Honor of P.C.B Phillips (forthcoming).
"Covariance-based orthogonality tests for regressors with unknown persistence" (with Katsumi Shimotsu), Econometric Theory 25(01) (2009),63-116.
"Testing for forward rate unbiasedness: on regression in levels and in returns," The Review of Economics and Statistics 85(2) (2003), 313-327.