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X-WR-CALDESC:Events for CREST
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DTSTART:20240331T010000
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DTSTART;TZID=Europe/Helsinki:20240126T121500
DTEND;TZID=Europe/Helsinki:20240126T133000
DTSTAMP:20260711T052013
CREATED:20240104T092413Z
LAST-MODIFIED:20240104T093322Z
UID:16409-1706271300-1706275800@crest.science
SUMMARY:Justine Knebelmann (MIT J-PAL)  "Discretion versus Algorithms: Bureaucrats and Tax Equity in Senegal"
DESCRIPTION:Applied Seminar \nTime: 12:15 pm – 13:30 pm\nDate: 26th of January\nRoom : 3001 \n  \nJustine Knebelmann (MIT J-PAL) “Discretion versus Algorithms: Bureaucrats and Tax Equity in Senegal” \nAbstract :The implementation of government programs requires a list or register of individuals who are eligible for the program. Building these registers accurately is a challenge in contexts with low administrative capacity\, and is often the responsibility of bureaucrats. We study the impacts of giving such bureaucrats more (or less) discretion in building these registers in the context of the creation of the first digitized property tax register in Senegal. We randomly assign neighborhoods to valuation methods with different degrees of bureaucrat discretion and compare the registered property values against a benchmark of market values provided by licensed real estate assessors. Bureaucrats in full discretion areas undervalue properties\, and more so for higher-value properties\, resulting in a regressive tax profile. The median tax rate is 3.8% in the lowest quintile and 1.7% in the top quintile\, instead of the expected 4.4% and 8.6% rates based on the tax code. In contrast\, a rule-based system where bureaucrats record property characteristics (not values) that an algorithm then uses to compute values\, significantly reduces this tax gap. A pure rule with no bureaucrat inputs yields the highest accuracy and equity. We show this is due to bureaucrats’ lack of knowledge about high-end properties and their fairness concerns\, and not due to collusion between bureaucrats and property owners. \nOrganizer: Emmanuelle TAUGOURDEAU \n
URL:https://crest.science/event/justine-knebelmann-mit-j-pal-discretion-versus-algorithms-bureaucrats-and-tax-equity-in-senegal/
CATEGORIES:Applied Seminar,Seminars
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DTSTART;TZID=Europe/Helsinki:20240126T140000
DTEND;TZID=Europe/Helsinki:20240126T150000
DTSTAMP:20260711T052013
CREATED:20240221T145304Z
LAST-MODIFIED:20240221T145317Z
UID:16721-1706277600-1706281200@crest.science
SUMMARY:Anya KATSEVICH (MIT) - The Laplace approximation in high-dimensional Bayesian inference
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 26th Febuary\nPlace: ZOOM \n  \nAnya KATSEVICH (MIT) – The Laplace approximation in high-dimensional Bayesian inference \n  \nAbstract: \n  \nLink : https://zoom.us/j/95865517467?pwd=NUp4RmZROE41Q0JQclJvVVNSZGY2dz09  \n  \n  \nOrganizers:Anna KORBA (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST) \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/anya-katsevich-mit-the-laplace-approximation-in-high-dimensional-bayesian-inference/
CATEGORIES:Statistics
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