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DTSTART;TZID=Europe/Helsinki:20220530T121500
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SUMMARY:Xiaofei MA  (ESSCA School of Management) "Macroeconomic Effects of Green Helicopter Money"
DESCRIPTION:The Macroeconomics Seminar:\nTime: 12:15 pm – 13:30 pm\nDate: 30 th of May 2022\nRoom 3001 \nXiaofei MA (ESSCA School of Management) “Macroeconomic Effects of Green Helicopter Money” \nAbstract : In this study\, we explore the potential effects of green ”helicopter” money\, which the Central Bank distributes to households. In our experiment\, the Central Bank distributes green tickets to households\, which are of a one-to-one value to the national currency (euro). The tickets can only be used to purchase green goods and expire after a specified use. Calibrated to France\, our simulation indicates that contrary to the traditional consensus that the Central Bank’s monetary policies have little effect on pollution reduction\, the green ”helicopter” money substantially affects pollution reduction. Moreover\, we found that this policy adds no inflationary pressure on the price of green goods. The demand of green goods from households first rises owing to the reception of green tickets. Subsequently\, the production supply of green goods rises and eventually becomes dominant. Thus\, the relative price of green goods compared to brown/polluting goods falls in the medium and long term. This result challenges the conventional view that monetary easing in the green sector leads to inflation and discourages demand. One explanation is that the green ”helicopter” tickets work directly on the consumers’ demand side\, rather than on the firms’ side as with many quantitative easings from the Central Bank. \n  \nOrganizers:\nJulien PRAT (CREST° \nSponsors:\nCREST \n
URL:https://crest.science/event/xiaofei-ma-essca-school-of-management-macroeconomic-effects-of-green-helicopter-money/
CATEGORIES:Macroeconomics
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DTSTART;TZID=Europe/Helsinki:20220530T140000
DTEND;TZID=Europe/Helsinki:20220530T151500
DTSTAMP:20260712T061821
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LAST-MODIFIED:20220517T060450Z
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SUMMARY:Subhro GHOSH (National University of Singapore ) - "The unreasonable effectiveness of determinantal processes"
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:15 pm\nDate: 30th of May 2022\nPlace: Amphi 200 \nSubhro GHOSH (National University of Singapore ) – “The unreasonable effectiveness of determinantal processes” \nAbstract: In 1960\, Wigner published an article famously titled “The Unreasonable Effectiveness of Mathematics in the Natural Sciences”. In this talk we will\, in a small way\, follow the spirit of Wigner’s coinage\, and explore the unreasonable effectiveness of determinantal processes (a.k.a. DPPs) far beyond their context of origin. DPPs originated in quantum and statistical physics\, but have emerged in recent years to be a powerful toolbox for many fundamental learning problems. In this talk\, we aim to explore the breadth and depth of these applications. On one hand\, we will explore a class of Gaussian DPPs and the novel stochastic geometry of their parameter modulation\, and their applications to the study of directionality in data and dimension reduction. At the other end\, we will consider the fundamental paradigm of stochastic gradient descent\, where we leverage connections with orthogonal polynomials to design a minibatch sampling technique based on data-sensitive DPPs ; with provable guarantees for a faster convergence exponent compared to traditional sampling. Based on the following works. \n[1] Gaussian determinantal processes: A new model for directionality in data\, with P. Rigollet\, Proceedings of the National Academy of Sciences\, vol. 117\, no. 24 (2020)\, pp. 13207–13213 (PNAS Direct Submission)\n[2] Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD\, with R. Bardenet and M. Lin\nAdvances in Neural Information Processing Systems 34 (Spotlight at NeurIPS 2021) \n  \nOrganizers:\nCristina BUTUCEA (CREST)\, Alexandre TSYBAKOV (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST)\nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/subhro-ghosh-tba/
CATEGORIES:Statistics
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