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PRODID:-//CREST - ECPv5.1.3//NONSGML v1.0//EN
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METHOD:PUBLISH
X-WR-CALNAME:CREST
X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
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TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20260329T010000
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TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20261025T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20260928T121500
DTEND;TZID=Europe/Helsinki:20260928T133000
DTSTAMP:20261008T021455
CREATED:20260727T101131Z
LAST-MODIFIED:20260923T083439Z
UID:19059-1790597700-1790602200@crest.science
SUMMARY:Christian HELLWIG (TSE) "Home Bias and the Gender Wage Gap"
DESCRIPTION:Séminaire Macro\n12h15 – 13h30 \n28  septembre 2026 \nSalle 3001 \nChristian HELLWIG (TSE) “Home Bias and the Gender Wage Gap” \nSummary: \nWe study how gender differences in locational preferences\, in particular attachment to their home location\, in combination with monopsony power in labor markets\, contribute to the gender wage gap. We document that women—particularly married women mothers— are more likely than men to return to their birthplace. Using cross-market variation in the share of local-born workers\, we show that wages and earnings are higher in markets experiencing more immigration. \nWe develop a model with gender-specific location preferences and firm labor market power to rationalize these patterns. Stronger home attachment reduces women’s outside options\, worsens their sorting efficiency and increases their exposure to monopsony. Preliminary counterfactuals indicate that home bias and monopsony power combined account for a large share of observed gender wage and earnings gaps. \n  \nJoint work : Miren Azkarate-Askasua (Mannheim)\, Miguel Zerecero\, (UC Irvine) \n
URL:https://crest.science/event/christian-hellwig-tse-t-b-a/
LOCATION:3001
CATEGORIES:Macroeconomics,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20260928T140000
DTEND;TZID=Europe/Helsinki:20260928T140000
DTSTAMP:20261008T021455
CREATED:20260922T091534Z
LAST-MODIFIED:20260924T065916Z
UID:19156-1790604000-1790604000@crest.science
SUMMARY:Michael Jordan (UC Berkeley) - Nonnegative Supermartingales\, Sequential Testing\, and Statistical Contract Theory
DESCRIPTION:Statistical Seminar: Every Monday at 2:00 pm.\nTime: 2:00 pm – 3:00 pm\nDate: 28th September\nPlace: 3001 \n  \nMichael Jordan (UC Berkeley) – Nonnegative Supermartingales\, Sequential Testing\, and Statistical Contract Theory \n  \n Abstract:  \nSequential hypothesis testing is often formulated as the design of stochastic processes that are nonnegative supermartingales under the null hypothesis.  Modern challenges in this area involve nonparametric\, composite hypotheses\, both for the null and the alternative.  I present a general theorem delineating a class of nonnegative supermartingales that have optimal power against composite alternatives.  The characterization is based on a deterministic quantity known as the “portfolio regret”—I show that any process exhibiting sublinear portfolio regret is adaptively\, asymptotically\, and almost surely log-optimal.  In the second half of the talk I present an application of these ideas to an emerging area at the intersection of statistical inference and economic mechanism design.  Specifically\, I discuss a game-theoretic problem involving a Principal who wishes to perform tests of hypotheses\, where the choice of hypotheses is made by a strategic\, self-interested Agent.  I show that incentive compatibility in this game is assured if and only if the contract provided by the Principal to the Agent is comprised of a set of nonnegative supermartingales.  [Joint work with Stephen Bates\, Ricardo Sandoval\, Michael Sklar\, Jake Soloff\, and Ian Waudby-Smith.]\n\n\n  \nOrganizers: \nAnna KORBA (CREST)\, Vincent DIVOL (CREST) \, Jaouad MOURTADA (CREST) \nSponsors:\nCREST-CMAP \n
URL:https://crest.science/event/michael-jordan-uc-berkeley-tba/
CATEGORIES:Seminars,Statistics
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20260929T121500
DTEND;TZID=Europe/Helsinki:20260929T133000
DTSTAMP:20261008T021455
CREATED:20260730T143716Z
LAST-MODIFIED:20260922T131922Z
UID:19068-1790684100-1790688600@crest.science
SUMMARY:Renaud COULOMB (Ecole des Mines Paris) - "The Welfare Economics of Oil Exploration"
DESCRIPTION:Applied Micro Seminar : Every Tuesday \nTime: 12:15 pm – 13:30 pm\nDate: September\, 29\nRoom : 3001 \nRenaud COULOMB  (Ecole des Mines Paris) “The Welfare Economics of Oil Exploration” \n  \nAbstract :  \nDespite growing calls to phase it out\, oil exploration persists\, often justified by the natural decline of existing fields and potential efficiency gains from discoveries. This paper quantifies the global welfare and environmental impacts of restricting oil exploration. We develop a global dynamic model calibrated to a granular dataset of 14\,637 proven oilfields\, accounting for heterogeneity in private extraction costs\, capacity constraints\, life-cycle carbon intensities of oil barrels\, along with exploration dynamics and basin-specific estimates of yet-to-find resources. We find that exploration restrictions are an effective second-best climate policy: in the absence of a global carbon tax\, a universal ban increases global welfare by $12.5 trillion due to lower social costs of oil production and use (assuming a social cost of carbon of $200/tCO2eq). A partial ban by OECD and BRICS countries alone captures 66% of these gains. Under optimal carbon pricing\, however\, a global ban yields a modest $0.3 trillion welfare loss\, as it precludes access to lower-social-cost deposits and prevents the easing of short-run capacity constraints. \nWith  France d’Agrain (Mines Paris – PSL University)\, Fanny Henriet (Aix-Marseille University – Aix-Marseille School of Economics; CNRS) \nOrganizers:\nBenoît SCHMUTZ (Pôle économie du CREST)\nClément MALGOUYRES (Pôle économie du CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/https-sites-google-com-site-renaudcoulomb/
CATEGORIES:Applied Seminar,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20260930T121500
DTEND;TZID=Europe/Helsinki:20260930T133000
DTSTAMP:20261008T021455
CREATED:20260903T074554Z
LAST-MODIFIED:20260918T093425Z
UID:19109-1790770500-1790775000@crest.science
SUMMARY:Davide BORDOLI (CREST) - "tba"
DESCRIPTION:Séminaire Microéconomie : Tous les mercredis\nHeure : 12h15 – 13h30\nDate : 30/09/2026\nSalle : 3001 \nDavide BORDOLI (CREST) – “tba” \nCV : “tba” \nOrganisateurs : \nJulien COMBE (Pôle d’Economie du CREST)\n​​​​​​​​​​​​Yves Le YAOUANQ (Pôle d’Economie du CREST) \nCommanditaires :\nCREST \n
URL:https://crest.science/event/davide-bordoli-crest-tba/
CATEGORIES:Microeconomics,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261001T090000
DTEND;TZID=Europe/Helsinki:20261001T163000
DTSTAMP:20261008T021455
CREATED:20260921T072845Z
LAST-MODIFIED:20260921T072845Z
UID:19155-1790845200-1790872200@crest.science
SUMMARY:Workshop Chaire CARE
DESCRIPTION:Workshop Chaire CARE\n(Allianz France\, Fondation du Risque\, ENSAE Paris)\n1er octobre 2026\n9:00 –  16:30 \nWorkshop de la Chaire Assurabilité des Risques Emergents \nLieu : Campus Jussieu\, Paris \nContacts : Olivier Lopez | Antonio Ocello \nInscription gratuite ici. \n  \n
URL:https://crest.science/event/workshop-chaire-care/
CATEGORIES:Conferences and Workshops,Finance-Insurance
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261001T100000
DTEND;TZID=Europe/Helsinki:20261001T110000
DTSTAMP:20261008T021455
CREATED:20260819T100219Z
LAST-MODIFIED:20260915T145619Z
UID:19085-1790848800-1790852400@crest.science
SUMMARY:Yasmine VAN DER STRATEN (Nova School of Business & Economics) "Flooded House or Underwater Mortgage? The Macrofinancial Implications of Climate Change and Adaptation"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Séminaire QSEF – Économie et Finance Quantitatives Durables \n10h – 11h \nJeudi 1er octobre 2026 \n  \nSalle 3001 \nYasmine VAN DER STRATEN (Nova School of Business & Economics) «Flooded House or Underwater Mortgage? The Macrofinancial Implications of Climate Change and Adaptation » \nSummary : \nI study how climate change affects housing markets\, mortgage credit\, and private adaptation in a general-equilibrium overlapping-generations model. Climate events damage housing and degrade land\, which is inelastically supplied. While exposure to future climate risk lowers expected resale values\, realized climate damages reduce effective housing supply\, raising house prices over time. In frictionless markets\, forward-looking prices support efficient adaptation. \nHowever\, credit-constrained households underinvest in resilience\, implying that price signals alone are insufficient. Unequal adaptation amplifies wealth inequality and accelerates land degradation\, tightening credit constraints and widening the adaptation gap. I show that a shift toward landlord-based ownership can restore efficiency.[/vc_column_text][/vc_column][/vc_row]\n
URL:https://crest.science/event/yasmine-van-der-straten-nova-school-of-business-economics-flooded-house-or-underwater-mortgage-the-macrofinancial-implications-of-climate-change-and-adaptation/
LOCATION:3001
CATEGORIES:Quantitative Sustainable Economics and Finance
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261001T110000
DTEND;TZID=Europe/Helsinki:20261001T120000
DTSTAMP:20261008T021455
CREATED:20260914T092116Z
LAST-MODIFIED:20260921T082019Z
UID:19136-1790852400-1790856000@crest.science
SUMMARY:Federica ZENI (Bank of Italy) "The Value of Compliance Carbon Offsets in Cap-and-Trade Markets"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Séminaire QSEF – Quantitative Sustainable Economics & Finance \nJeudi 1er octobre 2026 \n11h – 12h \n  \nSalle 3001 \nFederica ZENI (Bank of Italy) “The Value of Compliance Carbon Offsets in Cap-and-Trade Markets” \nSummary: \nWe study compliance carbon offsets in cap-and-trade markets. We develop a model predicting that firms sort into offset use by carbon productivity: highly productive firms rely solely on allowances\, while less productive firms use offsets because they trade at a discount but carry invalidation risk. Using administrative data from California’s Cap-and-Trade program\, we find strong empirical support for these predictions. Structural estimation suggests that roughly one-quarter of compliance offsets fail to reduce emissions\, generating about 1.4 percent uncounted emissions. Nevertheless\, offsets can increase efficiency relative to an equivalent relaxation of the emissions cap under certain conditions. \nJoint work: Aymeric BELLON\, Deeksha GUPTA\, Tarun RAMADORAI[/vc_column_text][/vc_column][/vc_row]\n
URL:https://crest.science/event/federica-zeni-epfl-the-value-of-compliance-carbon-offsets-in-cap-and-trade-markets/
LOCATION:3001
CATEGORIES:Quantitative Sustainable Economics and Finance
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261006T121500
DTEND;TZID=Europe/Helsinki:20261006T133000
DTSTAMP:20261008T021455
CREATED:20260928T092201Z
LAST-MODIFIED:20260928T093115Z
UID:19167-1791288900-1791293400@crest.science
SUMMARY:Bernd FITZENBERGER (IAB) - "Competitiveness\, Trade Composition\, and the Diverging Export Performance of Germany and the U.S."
DESCRIPTION:Applied Micro Seminar : Every Tuesday \nTime: 12:15 pm – 13:30 pm\nDate: October\, 6\nRoom : 3001 \nBernd FITZENBERGER (IAB) “Competitiveness\, Trade Composition\, and the Diverging Export Performance of Germany and the U.S.” – (Joint work with Christian Dustmann\, Jan Knuf\, and Alexandra Spitz-Oener) \n  \nAbstract :  \nWe examine why Germany and the United States experienced sharply diverging export performance during the globalization boom of the 2000s and why these patterns reversed after the global financial crisis. We develop a decomposition framework that separates export growth into trade composition effects and exporter-specific competitiveness and propose a method to measure product quality that allows for flexible substitution patterns and nonhomothetic preferences. Applying the framework to highly disaggregated trade data for 2000–2023\, we show that divergent export performance during the 2000s was driven primarily by differences in quality-based competitiveness\, while the subsequent reversal reflects both a deterioration of Germany’s quality advantage and shifts in sectoral and geographic demand patterns that curbed German export growth but benefited the United States. Our findings provide a unified explanation for the changing export performance of two major advanced economies and a framework for distinguishing competitiveness from compositional forces in export growth. \nOrganizers:\nBenoît SCHMUTZ (Pôle économie du CREST)\nClément MALGOUYRES (Pôle économie du CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/https-iab-de-en-employee-fitzenberger-phd-bernd/
CATEGORIES:Applied Seminar,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261007T121500
DTEND;TZID=Europe/Helsinki:20261007T133000
DTSTAMP:20261008T021455
CREATED:20260903T072958Z
LAST-MODIFIED:20260922T101447Z
UID:19107-1791375300-1791379800@crest.science
SUMMARY:Salvatore NUNNARI (Bocconi) - "Cognitive Abilities and the Demand for Bad Policy (joint with Eugenio Proto and Aldo Rustichini)"
DESCRIPTION:Séminaire Microéconomie : Tous les mercredis\nHeure : 12h15 – 13h30\nDate : 07/10/2026\nSalle : 3001 \nSalvatore NUNNARI (Bocconi) – “Cognitive Abilities and the Demand for Bad Policy (joint with Eugenio Proto and Aldo Rustichini)” \nCV : Rational choice theories posit that citizens accurately evaluate policy options. However\, many policies—such as price controls or Pigouvian taxes—produce equilibrium effects that citizens may underestimate\, potentially leading to support for detrimental policies or opposition to beneficial ones. This under-appreciation may be linked to citizens’ cognitive abilities\, raising fundamental research questions: Do cognitive abilities influence citizens’ preferences over policies? If so\, what mechanisms underlie this influence? We employ a theoretical framework and conduct a decision-making experiment involving a UK-representative sample to demonstrate that enhanced cognitive abilities can lead to improved policy preferences. We also uncover the crucial role of beliefs about the cognitive abilities of other citizens: even highly cognitively capable individuals may oppose beneficial reforms if they doubt others’ capacity to understand these policies’ implications and adapt their behavior accordingly. We assess the external validity of these findings through a survey experiment measuring support for important climate mitigation policies and correlational evidence from the UK Household Longitudinal Study. We discuss the policy implications of these findings. \nOrganisateurs : \nJulien COMBE (Pôle d’Economie du CREST)\n​​​​​​​​​​​​Yves Le YAOUANQ (Pôle d’Economie du CREST) \nCommanditaires :\nCREST \n
URL:https://crest.science/event/salvatore-nunnari-bocconi-tba/
CATEGORIES:Microeconomics,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261008T100000
DTEND;TZID=Europe/Helsinki:20261008T120000
DTSTAMP:20261008T021455
CREATED:20260902T145802Z
LAST-MODIFIED:20260922T102616Z
UID:19105-1791453600-1791460800@crest.science
SUMMARY:Sebastian KUHNERT (Ruhr University Bochum) "New Developments in Nonlinear Time Series in Hilbert Spaces:  Operator-Valued ARCH and Bilinear Processes"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Séminaire Économétrie de la Finance \nJeudi 08 octobre 2026 \n10h-12h \n  \nSalle 3001 \nSebastian KUHNERT (Ruhr University Bochum) “New Developments in Nonlinear Time Series in Hilbert Spaces: Operator-Valued ARCH and Bilinear Processes” \nSummary : \nLinear processes in Hilbert spaces\, particularly ARMA-type models\, have been extensively studied in the literature. In contrast\, nonlinear processes remain comparatively unexplored\, despite a rich literature in univariate and multivariate settings. While functional (G)ARCH processes have received increasing attention in function spaces\, bilinear processes in Hilbert spaces have so far only been touched upon\, leaving their systematic development largely open. This talk presents recent developments for both model classes. \nWe introduce an operator-valued ARCH framework for general Hilbert spaces that\, unlike existing functional ARCH and GARCH models\, allows the full conditional covariance operator to evolve over time. For a simplified Constant Conditional Correlation specification\, we establish stationarity\, moment and weak dependence properties\, and derive consistent Yule–Walker-type estimators. As work in progress\, we further develop bilinear processes of general orders in Hilbert spaces\, study their properties and stability conditions\, and discuss their potential as a complementary or competing approach to ARCH-type models.[/vc_column_text][/vc_column][/vc_row]\n
URL:https://crest.science/event/sebastian-kuhnert-ruhr-university-bochum-new-developments-in-nonlinear-time-series-in-hilbert-spaces-operator-valued-arch-and-bilinear-processes/
LOCATION:3001
CATEGORIES:Financial Econometrics
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261012T121500
DTEND;TZID=Europe/Helsinki:20261012T133000
DTSTAMP:20261008T021455
CREATED:20260727T110218Z
LAST-MODIFIED:20260922T102917Z
UID:19061-1791807300-1791811800@crest.science
SUMMARY:Federico DI PACE (ENSAI) "Brexit and Cost of Living: A Tale of Two Phases"
DESCRIPTION:Séminaire Macroéconomie \nLundi 12 octobre 2026 \n12h15 – 13h30 \n  \nSalle 3001 \nFederico DI PACE (ENSAI) “Brexit and Cost of Living: A Tale of Two Phases” \n  \nSummary: \nWe estimate the effect of Brexit on UK consumer prices using synthetic-control methods. By 2024Q4\, UK consumer prices were about 7 percentage points higher than in a synthetic no-Brexit counterfactual\, accounting for more than one-quarter of the total increase in the UK price level since the referendum. The effect unfolded in two phases: a referendum or negotiation phase\, consistent with sterling depreciation and gradual exchange-rate passthrough\, and a post-TCA phase\, consistent with the materialization of higher trade costs and non-tariff barriers. \nAdditional counterfactual exercises for the nominal effective exchange rate and real GDP support this interpretation\, showing an immediate sterling depreciation\, a more gradual CPI response\, and a progressive weakening of UK activity relative to its counterfactual. Financial-market evidence and item-level CPI regressions further show that Brexit news raised short- and medium-horizon inflation expectations and that price increases were larger for good categories more exposed to imports. \nUltimately\, Brexit generated a persistent increase in the UK price level\, even though inflation eventually returned toward its benchmark. \n  \nJoint work: Giacomo Mangiante (Bank of Italy)\, Riccardo M. MASOLO (Università Cattolica del Sacro Cuore) \n  \n  \n
URL:https://crest.science/event/federico-di-pace-ensai-t-b-a/
CATEGORIES:Macroeconomics,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261013T020000
DTEND;TZID=Europe/Helsinki:20261013T173000
DTSTAMP:20261008T021455
CREATED:20261005T142650Z
LAST-MODIFIED:20261005T142904Z
UID:19192-1791856800-1791912600@crest.science
SUMMARY:Science des données  à l’ère de l’IA : quels apports mutuels\, quels défis pour demain ?
DESCRIPTION:\n\n\n\n\n\nConférence scientifique & table ronde \nAnimée par Guillaume Gravier | Irisa – directeur du Cluster SequoIA \n\n\n\n\n\n\n\n\n\n\n\n\nScience des données à l’ère de l’IA : quels apports mutuels\, quels défis pour demain ?\n“Mathématiques et IA\, un état des lieux”\, Gérard Biau | Professeur à Sorbonne Université et membre de l’Académie des Sciences\nMarianne Clausel | Professeure à l’Université de Lorraine\, groupe de recherche Simul au CRAN\nLiva Ralaivola | Professeur à Aix-Marseille Université\, Laboratoire d’Informatique et des Systèmes\n“Learn how to do from what you see: Causal Effect Estimation using Proxy Variables”\, Arthur Gretton | Professeur à UCL\, research scientist Google DeepMind \nInscriptions & Informations \n\n\n\n\n\n\n
URL:https://crest.science/event/science-des-donnees-a-lere-de-lia-quels-apports-mutuels-quels-defis-pour-demain/
CATEGORIES:Conferences and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261013T121500
DTEND;TZID=Europe/Helsinki:20261013T133000
DTSTAMP:20261008T021455
CREATED:20261007T084101Z
LAST-MODIFIED:20261007T090832Z
UID:19196-1791893700-1791898200@crest.science
SUMMARY:Flavio CALVINO (OECD) - "AI Use\, Productivity And Innovation: Cross-Country Evidence From Microdata"
DESCRIPTION:Applied Micro Seminar : Every Tuesday \nTime: 12:15 pm – 13:30 pm\nDate: October\, 13\nRoom : 3001 \nFlavio CALVINO (OECD) “AI Use\, Productivity And Innovation: Cross-Country Evidence From Microdata” \nAbstract :  \nThe presentation discusses evidence from a series of recent studies on the role of AI in firms and its relationship with productivity and innovation\, with a particular focus on heterogeneity in patterns of adoption\, use and returns. Drawing on multiple sources of microdata across 15 OECD countries and leveraging descriptive\, econometric and AI-enabled methods\, key findings from this body of research highlight that AI adoption remains highly uneven across firms and sectors\, and that productivity gains have yet to fully materialise. Firms differ considerably in how and for what purposes they use AI\, with different AI applications supporting distinct business functions. Human and technological capital play a key role in both AI adoption and productivity\, explaining part of the advantages observed among AI users. Among different types of AI users\, firms that develop AI in-house tend to realise larger productivity gains. AI exhibits considerable potential as a general-purpose technology\, notably through its capacity to foster innovation and augment R&D. The dimensions of heterogeneity outlined have important implications for policies aimed at fostering AI adoption and productivity growth. \nI was planning an overview based on recent and ongoing analyses\, two key papers on which I plan to zoom in in more detail are the following:\n• Calvino\, F.\, H. Costa and D. Haerle (2026)\, “Digital technology diffusion in the age of AI: Cross-country evidence from microdata”\, OECD Science\, Technology and Industry Working Papers\, No. 2026/01\, OECD Publishing\, Paris\, https://doi.org/10.1787/ebc2debe-en.\n• Calvino\, F. and L. Fontanelli (2026)\, “AI Users are Not All Alike: The Characteristics of French Firms Buying and Developing AI”\, Research Policy\, 55(5)\, 10.1016/j.respol.2026.105473. \nhttps://doi.org/10.1787/ebc2debe-en. \nOrganizers:\nBenoît SCHMUTZ (Pôle économie du CREST)\nClément MALGOUYRES (Pôle économie du CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/flavio-calvino-oecd-ai-use-productivity-and-innovation-cross-country-evidence-from-microdata/
CATEGORIES:Applied Seminar,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261014T121500
DTEND;TZID=Europe/Helsinki:20261014T133000
DTSTAMP:20261008T021455
CREATED:20260903T074011Z
LAST-MODIFIED:20261006T073422Z
UID:19108-1791980100-1791984600@crest.science
SUMMARY:Sandro SHELEGIA (Pompeu Fabra) - "Impressing the Algorithm: Sales-Based Ranking\, Learning\, and Off-Platform Pricing (with Heski Bar Isaac)"
DESCRIPTION:Séminaire Microéconomie : Tous les mercredis\nHeure : 12h15 – 13h30\nDate : 14/10/2026\nSalle : 3001 \nSandro SHELEGIA (Pompeu Fabra) – “Impressing the Algorithm: Sales-Based Ranking\, Learning\, and Off-Platform Pricing (with Heski Bar Isaac)” \nCV : We study how platform ranking design shapes sellers’ off-platform pricing when the platform learns product appeal from on-platform sales. Because those sales depend on cross-channel pricing\, ranking creates a career-concerns force: by restraining off-platform discounts\, the seller shifts demand on-platform and improves future exposure. Thus\, even without conditioning directly on off-platform prices\, a sales-based algorithm can reproduce the incentive effects of explicit price-parity restrictions. But because the platform also relies on  on-platform sales to infer seller appeal\, a sales-based algorithm may distort promotion decisions and reduce welfare. We compare sales-based algorithms with rules that condition directly on off-platform prices and show that a price-parity-clause algorithm can attain the first best. \n  \nOrganisateurs : \nJulien COMBE (Pôle d’Economie du CREST)\n​​​​​​​​​​​​Yves Le YAOUANQ (Pôle d’Economie du CREST) \nCommanditaires :\nCREST \n
URL:https://crest.science/event/sandro-shelegia-pompeu-fabra-tba/
CATEGORIES:Microeconomics,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261015T110000
DTEND;TZID=Europe/Helsinki:20261015T120000
DTSTAMP:20261008T021455
CREATED:20260915T092106Z
LAST-MODIFIED:20260915T092106Z
UID:19137-1792062000-1792065600@crest.science
SUMMARY:Carlos ESTEVE-YAGUE (Universidad de Alicante) "Solving Hamilton-Jacobi-Bellman Equations with Neural Networks: Monotone Discretizations and Dimension-Robust Convergence"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Séminaire Mathématiques Financières \nJeudi 15 octobre 2026 \n11h – 12h \n  \nSalle 3001 \nCarlos ESTEVE-YAGUE (Universidad de Alicante) “Solving Hamilton-Jacobi-Bellman Equations with Neural Networks: Monotone Discretizations and Dimension-Robust Convergence” \nSummary: \nIn recent years\, advancements in deep learning and new optimization algorithms have motivated the use of artificial neural networks to solve non-linear problems in high-dimensional setups. A relevant case of application is the approximation of the value function for optimal control problems\, which can be characterized by the viscosity solution of the associated Hamilton-Jacobi-Bellman (HJB) equation. Along with the neural network architecture\, one of the crucial steps in implementing any deep learning method is the choice of the loss functional used to train the network parameters\, typically through gradient-based optimization. This talk takes up exactly that question for HJB equations: which loss functional design guarantees convergence to the viscosity solution\, and at what rate? I will show that using a monotone discretization of the underlying differential operator ensures the associated loss functional has a unique critical point\, which approximates the viscosity solution. Moreover\, for sufficiently coarse discretizations\, we prove a dimension-robust Polyak–Łojasiewicz inequality. \nThis implies linear convergence of the associated gradient flow at a rate that avoids the curse of dimensionality. Building on this theoretical foundation\, we propose a multi-level training algorithm that exploits the faster convergence available on the coarser grids of the discretization. \nJoint work: Olivier BOKANOWSKI\, Richard TSAI[/vc_column_text][/vc_column][/vc_row]\n
URL:https://crest.science/event/carlos-esteve-yague-universidad-de-alicante-solving-hamilton-jacobi-bellman-equations-with-neural-networks-monotone-discretizations-and-dimension-robust-convergence/
LOCATION:3001
CATEGORIES:Finance-Insurance,Mathematical Finance
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261015T121500
DTEND;TZID=Europe/Helsinki:20261015T134500
DTSTAMP:20261008T021455
CREATED:20260915T121347Z
LAST-MODIFIED:20261007T100135Z
UID:19140-1792066500-1792071900@crest.science
SUMMARY:Sorana TOMA (CESSMIR\, Ghent University) - "Intersectional experiences of discrimination and mental health in France"
DESCRIPTION:Sociology Seminar \nTime: 12:15 pm – 13:45 pm\nDate: 15th of october\nRoom : 3049 \n  \nSorana TOMA   (CESSMIR\, Ghent University) – “Intersectional experiences of discrimination and mental health in France” \nJoint work with Fanny D’Hondt (VUB)\, Victor LeLay (CREST-ENSAE)\, Ivaylo Petev (CREST-ENSAE) \nAbstract :  \nA substantial body of research shows that interpersonal discrimination harms mental health\, increasing psychological distress and the risk of depression. Yet most studies treat discrimination as a single experience and rarely examine how multiple\, intersecting forms jointly shape mental health\, particularly among people with a migration background. This study examines how the cumulative and intersectional nature of perceived discrimination\, defined by the grounds to which individuals attribute their experiences\, relates to depressive symptoms\, with attention to gendered patterns. Using data from the Trajectoires et Origines survey (TeO2\, 2020–2021)\, which includes 27\,000 respondents and oversamples individuals with immigrant backgrounds across three generations\, we construct a set of indicators among respondents with an immigrant background. These indicators capture both the number of grounds reported (e.g.\, nationality/origin\, skin colour\, religion\, physical appearance\, gender\, age) and theoretically informed combinations of grounds\, such as multiple ethno-racial markers or gender combined with ethno-racial attributions. Logistic regression models\, estimated separately for men and women\, assess associations between these indicators and depressive symptoms in the past 12 months\, controlling for socio-demographic and socio-economic characteristics and the frequency of discrimination. Discrimination attributed to multiple grounds is most strongly associated with depressive symptoms for both men and women. Among women\, the combination of sexism and ethno-racial discrimination shows the strongest association\, and religion-based discrimination is also linked to elevated symptoms. Among men\, discrimination involving several ethno-racial markers is more detrimental than discrimination attributed to a single marker. These findings suggest that the mental health burden of discrimination depends not only on its frequency but also on its accumulation and intersectional configuration. Moving beyond categorical intersectionality\, our approach captures experiential intersectionality\, meaning the ways individuals themselves link multiple grounds within lived experiences of discrimination. The results are consistent with the double jeopardy hypothesis. \nZoom link: https://zoom.us/j/98896745435?pwd=bwOdKsLNQYJHIIjdzDgjUcA8rrgkRg.1 \nOrganizers:\nPaola TUBARO (Pôle sociologie CREST) \nNicolas JULIA (Pôle sociologie CREST) \nPatrick PRÄG (Pôle sociologie CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/https-sites-google-com-view-sorana-toma-about/
CATEGORIES:Seminars,Sociology
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DTSTART;TZID=Europe/Helsinki:20261022T100000
DTEND;TZID=Europe/Helsinki:20261022T110000
DTSTAMP:20261008T021455
CREATED:20260914T090645Z
LAST-MODIFIED:20260925T135333Z
UID:19134-1792663200-1792666800@crest.science
SUMMARY:Carlos VELASCO (UC3M) "Instrumental variable estimation via a continuum of instruments with an application to estimating the elasticity of intertemporal substitution in consumption"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Séminaire Économétrie de la Finance \nJeudi 22 octobre 2026 \n10h – 11h \n  \nSalle 3001 \nCarlos VELASCO (UC3M) “Instrumental variable estimation via a continuum of instruments with an application to estimating the elasticity of intertemporal substitution in consumption” \nSummary: \nThis study proposes new instrumental variable (IV) estimators for linear models utilizing a continuum of instruments. The effectiveness of the new estimation method is attributed to the unique weighting function employed in the minimum distance objective functions. The proposed estimators enjoy analytical formulas and are nuisance-parameter-free\, avoiding the choice of an arbitrary number of moments or a bandwidth as in previous literature. They are robust to weak instruments and heteroskedasticity of unknown form. Moreover\, they are robust to the high dimensionality of excluded exogenous variables. \nFurther\, inference drawn from these estimators is also straightforward. Comprehensive Monte Carlo simulations confirm that the proposed estimators exhibit excellent finite-sample properties and outperform alternative estimators over a wide range of cases. The new estimation procedure is then applied to gauge the elasticity of intertemporal substitution (EIS) in consumption\, a parameter of central importance in both macroeconomics and finance. For quarterly data of the U.S. from Q4 1955 to Q1 2018\, the EIS estimates obtained through our approach exceed one and are statistically significant. \nThese findings persist across model transformations\, distinct sets of IVs\, various data structures\, and different data ranges. \nJoint work : Xuexin WANG[/vc_column_text][/vc_column][/vc_row]\n
URL:https://crest.science/event/carlos-velasco-uc3m-t-b-a/
LOCATION:3001
CATEGORIES:Financial Econometrics
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BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20261022T110000
DTEND;TZID=Europe/Helsinki:20261022T120000
DTSTAMP:20261008T021455
CREATED:20260914T091033Z
LAST-MODIFIED:20260925T080415Z
UID:19135-1792666800-1792670400@crest.science
SUMMARY:Christian HAFNER (UCLouvain) "Multivariate Semiparametric Modelling of Market Illiquidity"
DESCRIPTION:[vc_row][vc_column][vc_column_text]Séminaire Économétrie de la Finance \nJeudi 22 octobre 2026 \n11h – 12h \n  \nSalle 3001 \nChristian HAFNER (UCLouvain) « Modélisation semi-paramétrique multivariée de l’illiquidité du marché » \nSummary : \nNous développons un modèle semi-paramétrique multivarié d’illiquidité de marché qui distingue les tendances saisonnières spécifiques à chaque actif\, à variation continue\, des dynamiques de court terme et des effets de contagion intermarchés. Une spécification de portefeuille parcimonieuse permet de traiter des systèmes de grande taille en faisant dépendre la liquidité de chaque actif de son propre historique et d’un nombre restreint d’indices de liquidité transversaux. Nous proposons une estimation par lissage linéaire local et par la méthode des moments généralisée\, et établissons une théorie asymptotique pour des dimensions transversales fixes et croissantes. \nL’estimation non paramétrique des tendances intervient généralement dans la distribution du premier ordre des estimateurs des paramètres dynamiques. Nous construisons des moments orthogonaux de Neyman qui éliminent cet effet du premier ordre et simplifient l’inférence. L’estimation repose sur des restrictions de moments conditionnels plutôt que sur une distribution paramétrique d’innovation et prend en compte les moments d’ordre deux variables dans le temps. Nous développons également des décompositions de la variance des erreurs de prévision et des mesures de connectivité\, montrant comment la variation des moments d’ordre deux génère une connectivité variable dans le temps\, même lorsque les coefficients dynamiques sont constants. Une application aux mesures d’illiquidité quotidiennes d’Amihud pour 18 fonds négociés en bourse (ETF) de pays sur la période 2005-2026 met en évidence une saisonnalité marquée en semaine\, une hétérogénéité persistante entre les pays et d’importants effets de contagion de liquidité. \nLes États-Unis sont le principal transmetteur net de chocs de liquidité\, et l’interconnexion globale augmente sensiblement lors d’épisodes majeurs de tensions financières. \n  \nTravail commun : Elena ANDREOU\, Patrick GAGLIARDINI\, Mirco RUBIN[/vc_column_text][/vc_column][/vc_row]\n
URL:https://crest.science/event/christian-hafner-uclouvain-multivariate-semiparametric-modelling-of-market-illiquidity/
LOCATION:3001
CATEGORIES:Financial Econometrics
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