It is delighted for ACBES 2020 to welcome distinguished Keynote Speakers:
Prof. Wing-Keung (Alan) Wong
Department of Finance, Fintech Center and Big Data Research Center, Asia University, Taiwan
Department of Medical Research, China Medical University Hospital, Taiwan
Department of Economics and Finance, the Hang Seng University of Hong Kong
“Sustainable Financial Development and Sustainable Economic Development in Developed and Developing countries”
Professor WONG, Wing Keung obtained his PhD from the University of Wisconsin-Madison, USA with major in Business Statistics (Statistics and Finance) and obtained his Bachelor degree from the Chinese University of Hong Kong, Hong Kong, with a major in Mathematics and a double minor in Economics and Statistics. Currently, he is a Chair Professor at the Department of Finance, Asia University. He was Full Professor at the Department of Economics, Hong Kong Baptist University and Deputy Director in at Risk Management Institute, National University of Singapore.
Professor WONG appears in “Who’s Who in the World.” His Erdos Number is 3. He is ranked top 1% by Social Science Research Network and in the list of top Taiwan economists and Asian economists and top economists by RePEc. He gets 7445 (4455 since 2014) citations by google scholar, and more than 4260 by Researchgate. He also gets h-index 48 (36 since 2014) and i10-index 163, (138 since 2014) by Google Scholar citation.
He has been serving international academies, Government, society and universities, providing consultancy to several Government departments and corporations, and giving lectures and seminars to several universities. For example, he has been serving as editor, guest leading editor, advisor, associate editor for some international journals, appointed as an advisor/member of various international associations/institutes, serving as referee for many journals/conferences, supervising solely or jointly several overseas graduate students, appointed as external reviewer and external examiner by other universities, and invited by many universities/institutions to present papers or conduct seminars.
He has published 5 books and 2 forthcoming books and published more than two hundred papers including papers published in Contemporary Accounting Research, Annals of Applied Probability, Scientific Report, Mathematical Finance, European Journal of Operational Research, Journal of Business and Economic Statistics, Economic Theory, Journal of Empirical Finance, Journal of Financial Markets, Journal of Economic Behavior and Organization, Economics Letters, Econometrics Journal, Quantitative Finance, Economic Inquiry, Energy Economics, Statistics and Probability Letters, Journal of Risk, Journal of Operational Research Society, Journal of Financial Econometrics, Journal of Forecasting, Journal of International Financial Markets, Institutions & Money, Transport Policy, Personality and Individual Differences, Journal of Time Series Analysis, Applied Economics, Journal of Multinational Financial Management, Journal of Behavioral Finance, Pacific-Basin Finance Journal, Global Finance Journal, Annals of Finance, Mathematics and Computers in Simulation, IMA Journal of Management Mathematics, Review of Quantitative Finance and Accounting, North American Journal of Economics and Finance, Accounting & Finance, Economic Modelling, Energy Policy, Applied Mathematics Letters, Journal of International Consumer Marketing, Statistical Papers, Japanese Economic Review, Global Economic Review, Multinational Finance Journal, Central European Journal of Mathematics, Journal of Asian Economics, Mathematical Scientist, Applied Mathematics Letters, Journal of Retailing and Consumer Services, International Review of Financial Analysis, Current Issues in Method and Practice, Sustainability, Risk Management, Scientific Reports, International Review of Economics & Finance, Studies in Nonlinear Dynamics and Econometrics, Current Issues in Tourism, Finance Research Letters, Journal of the Korean Statistical Society, PLOS ONE, Sustainability, Journal of Testing and Evaluation, Estudios de Economía, Physica A: Statistical Mechanics and its Applications, Resources Policy, World Economy, etc.
Dr. David Andolfatto
Senior Vice President
Federal Reserve Bank of St. Louis (US)
“Central Bank Digital Currency on Private Banks”
David Andolfatto is a native of Vancouver, British Columbia. He holds both a BBA in Commerce (1985) and an MA in Economics from Simon Fraser University, and a PhD in Economics (1994) from the University of Western Ontario. David Andolfatto serves as a senior vice president in the Research Division at the Federal Reserve Bank of St. Louis since 2009. He held his first appointment at the University of Waterloo (1991- 2000); he then held a professorship of economics and Graduate Chair in the Department of Economics at Simon Fraser University (2000 – 2018). He has also taught at the Institute of Advanced Studies in Vienna, Kobe University, Sharif University, the Central European University, and the Université d’Orléans. Professor Andolfatto is known for his contributions to business cycle theory, labour market policy, the theory of money and banking, and bank sector stability. His work has been published in several leading journals, including the American Economic Review, the Journal of Political Economy, and the Journal of Economic Theory. He has been invited to speak at numerous seminars and conferences around the world and has held short-term visiting positions at several central banks, including the Bank of Canada, the Federal Reserve Bank of Cleveland, the Bank of Japan, the Bank of Italy, and the Banco de la Republica (Colombia). Professor Andolfatto has served as a referee for several leading journals and was a member of the editorial board for the Canadian Journal of Economics from 2003 to 2006. He has been the recipient of a number of awards and distinctions including commendations for outstanding teaching from the Dean of Arts at the University of Waterloo, several major research grants from the Social Sciences and Humanities Research Council (SSHRC) and a major research grant from the National Bank of Austria
Dr. Alexander K. Karaivanov
Professor, Department of Economics, Simon Fraser University
Associate editor, Journal of Development Economics
Research Associate, Thred
Structural Models and Estimation in Development Economics
Alexander Karaivanov holds MA and PhD degrees in Economics from the University of Chicago, USA; a BA in Economics from Sofia University, Bulgaria and a BBA from the Hogeschool van Utrecht, the Netherlands. He is currently Professor and Graduate Program Director at the Department of Economics of Simon Fraser University, Canada. Prof. Karaivanov has taught at Simon Fraser University and the University of Chicago. His main research contributions are in the fields of development economics, entrepreneurship, finance, mechanism design and public economics. His work has been published in several leading economics journals, including Econometrica, the Journal of Political Economy, International Economic Review, the Journal of Public Economics and the Journal of Development Economics. He has served as referee for all the leading economics journals and is currently an Associate Editor of the Journal of Development Economics. Prof. Karaivanov has presented his research at numerous seminars and conferences around the world and has been awarded several major research grants from the Social Sciences and Humanities Research Council (SSHRC).
I discuss the role and applications of structural modeling, estimation, and model testing in development economics. Compared to reduced form or experimental work, structural models have the advantage of being explicit about the assumed economic structure – preferences, technology and the sources of agent or firm heterogeneity. Structural models thus establish a clear and direct link between economic theory and the data and can be used to identify and quantitatively assess the economic mechanisms and factors that determine observed outcomes. A further advantage of the structural approach is that it allows the researcher to evaluate policy counterfactuals, by simulating the model at the estimated parameters while varying different elements of the modeled economic environment. Both average and heterogeneous policy/treatment effects can be quantified and welfare conclusions drawn. The main trade-off in structural modeling is about what aspects or factors to abstract from – here the proposed model testing approach is helpful, by estimating several competing economic models or settings, on the full available data or stratifications, and establishing which models can be rejected vs. which models are closest to the observed data. Applications feature work by the author on occupational choice in rural Thailand, involuntary entrepreneurship and distinguishing across financial constraints affecting households’ investment decisions and consumption smoothing. Both one-period and dynamic heterogeneous-agent models are featured. In terms of estimation methods, applications of both maximum likelihood and the simulated method of moments are shown.”