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X-WR-CALDESC:Events for CREST
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DTSTART:20250330T010000
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DTSTART;TZID=Europe/Helsinki:20251208T121500
DTEND;TZID=Europe/Helsinki:20251208T133000
DTSTAMP:20260710T030824
CREATED:20251117T150038Z
LAST-MODIFIED:20251205T142836Z
UID:18569-1765196100-1765200600@crest.science
SUMMARY:Micael CASTANHEIRA DE MOURA (ECARES and SBS-EM - Solvay Brussels School of Economics and Management) "Do Public Goods Actually Reduce Inequality?"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Macro seminar\nTime : 12h15 – 13h30 \nDate : 08th  December 2025 \nSalle 3001 \nMicael CASTANHEIRA DE MOURA (ECARES and SBS-EM – Solvay Brussels School of Economics and Management) “Do Public Goods Actually Reduce Inequality?” \nAbstract: Public goods are meant to be universal\, but they are inherently place-based. This paper systematically measures spatial access to public goods and quantifies the implications of distance to public facilities for income inequality. First\, we map all schools and hospitals across Belgium. We compute the distance to facilities for each of the 20\,000 neighborhoods and document large spatial inequalities in access to public facilities. Second\, we find that this unequal distribution favors high-income neighborhoods: allocating public goods spending proportionally to our access index increases income inequality compared to measures based solely on disposable income. Third\, we show that the positive relationship between income and access can be rationalized by a simple model of public goods allocation with an inequality-neutral social planner. Finally\, we provide evidence that access is strongly correlated with educational and health outcomes\, emphasizing the need to consider the place-based nature of public goods when measuring inequality. \nJoint work : Giovanni Paolo Mariani (Université Libre de Bruxelles and ECARES)\, Clémence Tricaud (UCLA Anderson School of Management) \nOrganizer : Pierre BOYER \n
URL:https://crest.science/event/micael-castanheira-de-moura-ecares-and-sbs-em-solvay-brussels-school-of-economics-and-managemen-do-public-goods-actually-reduce-inequality/
CATEGORIES:Macroeconomics,Seminars
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DTSTART;TZID=Europe/Helsinki:20251208T140000
DTEND;TZID=Europe/Helsinki:20251208T153000
DTSTAMP:20260710T030824
CREATED:20251202T075634Z
LAST-MODIFIED:20251202T141154Z
UID:18608-1765202400-1765207800@crest.science
SUMMARY:Sinho CHEWI (Yale University) - Discretization and distribution learning in diffusion models
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 8th December\nPlace: 3001 \n  \nSinho CHEWI (Yale University) – Discretization and distribution learning in diffusion models \n  \n Abstract:  \n  \nFirst\, I will review some literature on discretization of diffusion models\, focusing on the use of randomized midpoints for deterministic vs. stochastic samplers. Then\, I will argue that such sampling guarantees reduce distribution learning\, in the form of learning to generate a sample\, to score matching. To complement this result\, we reduce other forms of distribution learning (parameter estimation and density estimation) to score matching as well. This leads to new consequences for diffusion models\, such as asymptotic efficiency of a DDPM-based parameter estimator and algorithms for Gaussian mixture density estimation\, as well as to a general approach for establishing cryptographic hardness results for score estimation. \n  \n  \n  \nOrganizers: \nAnna KORBA (CREST)\, Karim LOUNICI (CMAP) \, Jaouad MOURTADA (CREST) \n  \n  \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/sinho-chewi-yale-university-tba/
CATEGORIES:Seminars,Statistics
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20251208T160000
DTEND;TZID=Europe/Helsinki:20251208T171500
DTSTAMP:20260710T030824
CREATED:20251204T105404Z
LAST-MODIFIED:20251204T153037Z
UID:18612-1765209600-1765214100@crest.science
SUMMARY:Ingrid VAN KEILEGOM (KU LEUVEN) - "Tests of exogeneity in duration models with censored data"
DESCRIPTION:PSE Seminar : \nTime: 16:00 pm – 17:15 pm\nDate: 8th of december\nRoom : 3001 \n  \nIngrid VAN KEILEGOM (KU LEUVEN) –  “Tests of exogeneity in duration models with censored data” \n  \nAbstract : \n\n\n\n“Consider the setting in which a researcher is interested in the causal effect of a treatment $Z$ on a duration time $T$\, which is subject to right censoring. Given a vector of baseline covariates $X$\, we would like to test whether the treatment is endogenous\, meaning that $Z$ is not independent of the error term in the structural model for $T$\, given $X$. In this paper\, we propose nonparametric tests for this problem. The test statistics rely on the presence of an instrumental variable $W$ that is independent of the error term in the structural model for $T$ conditional on $X$. We assume that $X\,W$ and $Z$ are all categorical and that $T=\varphi(X\,Z\,U)$\, where $\varphi(X\,Z\,U)$ is strictly increasing in the error term $U$ for each $(X\,Z)$ and $U\sim \mathcal{U}[0\,1]$. Therefore\, the model is nonparametric and nonseparable. We construct test statistics for the hypothesis that the conditional rank $V_T= F_{T \mid X\,Z}(T \mid X\,Z)$ is independent of $(X\,W)$ jointly. Under an identifiability condition on $\varphi$\, this hypothesis is equivalent to $Z$ being independent of $U$ given $X$\, meaning that $Z$ is exogenous. However\, note that $T$ being censored by $C$ implies that $V_T$ is censored by $V_C =F_{T \mid X\,Z}(C \mid X\,Z)$\, which complicates the construction of the test statistics significantly. We derive the asymptotic properties of the proposed tests\, which is challenging due to the presence of right censoring both in the data and in the estimated conditional ranks. Moreover\, we prove the interesting result that our estimator of the distribution of $V_T$ converges to the uniform distribution at a rate faster than the usual parametric $n^{-1/2}$-rate. We also demonstrate that the test statistics and bootstrap approximations for the critical values have a good finite sample performance in various Monte Carlo settings. Finally\, we illustrate the tests with an empirical application to the National Job Training Partnership Act (JTPA) Study”. \n  \nJoint work : Gilles Crommen and Jean-Pierre Florens\n\n\n\nOrganizer :\nLaurent DAVEZIES (Pôle économie du CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/https-scholar-google-com-citationsuser6sb63foaaaajhlnl/
CATEGORIES:Paris Econometrics Seminar,Seminars
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