Category
Date
Title
Presenter/Location
Details
2015/12/18 Fri
16:30〜18:00
16:30〜18:00
Competition and gains from trade: A quantitative analysis of China between 1995-2004
Wen-Tai Hsu（Singapore Management University）
京都大学法経済学部東館8階 リフレッシュルーム
2015/12/18 Fri
15:00〜16:30
15:00〜16:30
Valuing travel time reliability from a system perspective
Xiao Yu（東京工業大学・院）
京都大学法経済学部東館8階 リフレッシュルーム
2015/12/18 Fri
13:00〜14:30
13:00〜14:30
Can Guest Workers Solve Japan's Fiscal Problems? －応用マクロ経済学セミナーと共催－
Selahattin Imrohoroglu 氏（University of Southern California）
経済研究所 北館N101-102
2015/12/11 Fri
14:45〜16:15
14:45〜16:15
Welfare Consequences of Information Aggregation and Optimal Market Size －応用マクロ経済学セミナーと共催－
川上圭 氏（メルボルン大学)
法経済学部東館101室
2015/12/04 Fri
16:30〜18:00
16:30〜18:00
A theory of continuous uncertainty types
Achim Czerny（The Hong Kong Polytechnic University）
京都大学法経済学部東館8階 リフレッシュルーム
【応用ミクロ経済学セミナーと共催】
2015/12/04 Fri
15:00〜16:30
15:00〜16:30
A network theory-based delineation of metropolitan areas with mass people flow data
藤嶋翔太（東京大学）
京都大学法経済学部東館8階 リフレッシュルーム
【応用ミクロ経済学セミナーと共催】
2015/11/27 Fri
16:30〜18:00
16:30〜18:00
Affine Term Structure Pricing with Bond Supply As Factors －応用マクロ経済学セミナーと共催－
Fumio Hayashi 氏（GRIPS)
経済研究所 北館N202
2015/11/18 Wed
16:30〜18:00
16:30〜18:00
Optimal Minimax Rates of Specification Tests for IV Regression
岩澤 政宗（京都大学・院）
第一共同研究室 （4F北側）
2015/11/13 Fri
16:30〜18:00
16:30〜18:00
Spatial competition among retail gasoline stations in Japan
瀬谷創（広島大学）
京都大学経済研究所本館1階 第二共同研究室
要旨：Owing to a lack of statistics about gasoline prices at the gasoline stand (GS) level in Japan, there are hardly any studies attempting to identify the factors that influence the retail gasoline prices of each GS. We believe that this is the first attempt to tackle this problem. Using the fairly large spatiotemporal dataset of gasoline prices from 2008 to 2012, we estimate an empirical model of spatial competition among retail GSs. The theory of spatial competition suggests that retail gasoline price is affected by cost, demand, and spatial competition; therefore, these three factors are considered in our empirical analyses. For the first two factors, we introduce various types of spatially fine GIS data, including land prices (cost), population density (demand), etc., and their impacts are statistically verified. The spatial competition factor is considered by employing the latest spatial econometrics/social interaction models, in which spatial price completion can be modeled fairly directly.