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X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
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TZID:Europe/Paris
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DTSTART:20180325T010000
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DTSTART:20181028T010000
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DTSTART;TZID=Europe/Paris:20181120T121500
DTEND;TZID=Europe/Paris:20181120T133000
DTSTAMP:20260910T192743
CREATED:20181106T084416Z
LAST-MODIFIED:20241104T133428Z
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SUMMARY:Mathilde POULHES (CREST-INSEE) - “Increasing Housing Transfer Taxes: Buy Now or Foot the Bill Later"
DESCRIPTION:\nThe Microeconometrics Seminar: Every Tuesday at 12:15 pm.\nTime: 12:15 pm – 1:30 pm\nDate: 20th of November 2018\nPlace: Room 3001.\nMathilde POULHES (CREST-INSEE) – “Increasing Housing Transfer Taxes: Buy Now or Foot the Bill Later”. \nAbstract: This paper estimates the impact of the rise of housing transfer tax in France. It exploits both time and geographical discontinuities in the implementation of the 2014 reform that allowed local authorities to raise housing transfer tax. On the short term\, we provide evidence that buyers anticipate the reform to avoid the additional tax burden. We find some evidence of a long-term negative effect of the tax increase on the number of transactions\, only in markets where supply is high relative to demand. Finally\, we find no effect on pre-tax sales prices\, meaning that the burden of the transfer tax rests on the buyer. Our findings highlight the price rigidity of the French housing market and suggest the existence of price frictions potentially due to loss aversion. \n\n\nOrganizers:\nLaurent Davezies (CREST)\, Benoit Schmutz (CREST)\, Arne Uhlendorff (CREST) & Lucas Girard (CREST)\nSponsors:\nCREST\nLunch registration:\nfood provided\, no registration\n\n
URL:https://crest.science/event/mathilde-poulhes-crest-increasing-housing-transfer-taxes-buy-now-or-foot-the-bill-later/
CATEGORIES:Applied Seminar,Economics,Microeconometrics,Seminars
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DTSTART;TZID=Europe/Paris:20181120T140000
DTEND;TZID=Europe/Paris:20181120T151500
DTSTAMP:20260910T192743
CREATED:20181031T072046Z
LAST-MODIFIED:20181031T072046Z
UID:12147-1542722400-1542726900@crest.science
SUMMARY:Guenther WALTHER (Stanford University) - "Constructing an optimal confidence set for a distribution function with applications to visualizing data"
DESCRIPTION:\nThe Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:15 pm\nDate: 20th of November 2018 exceptionally Tuesday\nPlace: Room 3001.\nGuenther WALTHER (Stanford University) – “Constructing an optimal confidence set for a distribution function with applications to visualizing data“ \nAbstract: \nWe show how to construct a confidence set of distribution functions that have the same optimal estimation performance as the empirical distribution function\, but which may be much simpler\, that is the distribution functions may have many fewer jumps.\nWe show how an accelerated dynamic program can be applied to a relaxed optimization problem in order to find the distribution function in the confidence set that has the fewest jumps.\nWe propose to use this distribution function for summarizing and visualizing the data via a histogram\, as this distribution function is the simplest function that optimally addresses the two main tasks of the histogram: estimating probabilities and detecting features such as increases and (anti)modes in the distribution. We will illustrate our methodology with examples.\nThis is joint work with Housen Li\, Axel Munk\, and Hannes Sieling.\nOrganizers:\nCristina BUTUCEA\, Alexandre TSYBAKOV\, Julie JOSSE\, Eric MOULINES\, Mathieu ROSENBAUM\nSponsors:\nCREST-CMAP\n \n\n
URL:https://crest.science/event/jamal-najim-cnrs-upem-tba-2-2-3-5-2-2-2-2-2-2-3-3/
CATEGORIES:Statistics
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