Venue: Room 245, College of Life Sciences, Zijingang CampusSpeaker: Prof. Zilong Wen, Division of Life Science, Hong Kong University of Science and Technology

Venue: Room 245, College of Life Sciences, Zijingang CampusSpeaker: Zhenguo Wu, Acting Head and Professor, Division of Life Science, The Hong Kong University of Science and Technology 

Venue: Room 1408, Qizhen Hotel, Zijingang CampusSpeaker: Prof. Hiroshi Onishi, Department of Economic, Keio University

Venue: Room 418, School of Economics, Yuquan CampusSpeaker: Zhipeng Liao Zhipeng Liao received his Ph.D. from Yale and is an Assistant Professor in Economics at UCLA. His research develops methods to use data to select among different economic models, and to make inferences from nonstationary time series data, and to make robust inferences from nonparametric models. His work has been published in the Econometric Theory, the Journal of Econometrics, the Quantitative Economics and the Review of Economic Studies.Abstract:This paper proposes a test for the conditional superior predictive ability (CSPA) of a family of forecast methods with respect to a benchmark. The test is functional in nature: Under the null hypothesis, the benchmark's conditional expected loss is no more than those of the competitors, uniformly across all conditioning states, and, under the alternative, there exists some competing method that outperforms the benchmark in certain states. By inverting the CSPA tests for a set of benchmarks, we obtain confidence sets for the uniformly most superior model. The econometric inference pertains to testing a system of conditional moment inequalities for dependent data, and we justify its asymptotic validity using uniform nonparametric inference methods based on time-series strong approximation. The usefulness of the proposed method is demonstrated in empirical applications on volatility and inflation forecasting. 

Venue: Room 349, College of Pharmaceutical Sciences, Zijingang CampusSpeaker: Yasuhiko Tabata, Kyoto University

Venue: Room 349, College of Pharmaceutical Sciences, Zijingang CampusSpeaker: Jun-ichiro Jo, Kyoto University

Venue: Lecture Hall E122, College of Animal Sciences, Zijingang CampusSpeaker: Prof. Nancy A. Speck, Chair of Cell and Developmental Biology, Perelman School of Medicine at the University of Pennsylvania

Venue:Room 236, School of Economics, Yuquan CampusSpeaker: Tong Wang, Lecturer in Business Economics and Director, Marketing & Business AnalysisAbstract:We particularly try to provide an exploratory and tentative analysis on how an economic agent chooses the level of monthly total electricity consumption under the existence of a unique pricing system. Using a rich and unique panel data of citizen’s electricity consumption in Hangzhou, China, we structurally model the electricity con- sumption behavior under the existence of a mixture of two following pricing systems: 1. Increasing block pricing (IBP), for which the marginal price will gradually increase with the total consumption level. 2. Time-of-use pricing system, which refers to the calculation of electricity price in different time periods, and the electricity price is more expensive during peak hours (day) and during valley hours (night). The estimation of such a demand model of electricity consumption allows us to evaluate the impact of counterfactual energy policies. In particular, the specific policies that we seek to evaluate are the changes in the blocks and marginal prices, as recently proposed by the government. Specifically, we aim to estimate the impact of the new proposals that may be introduced and their effect on choices of households during different seasons. 

Venue: Room 102, Academic Building 7, Yuquan CampusSpeaker: Junling Wang, Associate Chair (Research), School of Materials Science & Engineering, Nanyang Technological University