17:00〜18:30
10:00〜11:30
主催 TEDS (TRANSDISCIPLINARY ECONOMETRICS & DATA SCIENCE SEMINAR)
https://qingfeng-liu.github.io/Econometrics_seminar.html
共催 共同利用・共同研究拠点プロジェクト研究 (Joint Research Program of KIER, Kyoto University)
共催 計量経済学セミナー(Econometrics Seminar of KIER, Kyoto University)
（登録者のみ参加可能）
16:30〜18:00
要旨：Using smartphone data for Japan, we show that non-commuting trips are frequent, more localized than commuting trips, strongly related to the availability of nontraded services, and occur along trip chains. Guided by these empirical findings, we develop a quantitative urban model that incorporates travel to work and travel to consume non-traded services. We use the gravity equation predictions of the model to estimate theoretically-consistent measures of travel access. We show that consumption access makes a substantial contribution to the observed variation in residents and land prices and the observed impact of the opening of a new subway line.
17:00〜18:30
17:00〜18:30
17:00〜18:00
Preference Aggregation with a Robust Pareto Criterion
17:00〜18:00
Agency problems in a competitive conglomerate with production constraints
16:30〜18:00
要旨：This paper revisits the core-periphery model of Krugman (1991) when his CES utility is replaced by a general additively separable sub-utility which captures the income effect and allows variable markups. New evolving paths and bifurcation patterns are created by the interaction between the agglomeration force generated by monopolistic competition, increasing returns to scale, trade cost and the dispersion force resulting from the pro-competitive effect. Autarky does not necessarily produce full dispersion and free trade may not correspond to agglomeration. Moreover, the demand parameter of manufactured goods is crucial to determining the firm location.
17:00〜18:30
16:30〜18:00
要旨：This talk will firstly review observed trends among public transport operators regarding fare polices and discuss that both simplification and “optimisation by differentiation” trends exist. If revenue and demand management optimal fares are desired, also in urban settings distance and route depending fares are increasingly an option due to new data collection technologies. This leads to modelling challenges such “hyperpaths with non-additive costs” which will be discussed in the second part. In the third part then the impact of new transport forms, in particular shared transport and “cheap taxis” is discussed. The competition and collaboration potential will be highlighted. The talk will close with some thoughts on how electrification of the transport system and vehicle to grid services might also impact fares and revenues.