Chaire "International Francqui Professor" From Social Analysis to Political Influence: Reinventing Statistical Modeling   PROGRAM  •  REGISTRATION  •  ABOUT CHAIRE FRANCQUI   Ernesto San Martin Short CV | Long CV | Website About the Chair Holder Ernesto San Martin is curr

  Laureen de Barsy (Université de Liège) Invited by Paul Belleflamme will give a presentation on : The Role of Talent Acquisition in Technology Leadership and Diversification Abstract :  This paper aims to track innovation activities around Big Tech acquisitions. To do so, we make use of patent data.

  Mathieu Van Vyve (LIDAM. CORE) Identifying when thresholds from the Paris Agreement are breached: the minmax average, a novel smoothing approach Identifying when a given threshold has been breached in the global temperature record has become of crucial importance since the Paris Agreement. However there is no formally agreed methodology for this.

  Bernard Sinclair-Desgagné (SKEMA Business School) Internal Carbon Pricing in the Multidivisional Firm In response to environmental concerns, big corporations, which largely allocate resources through so-called ‘internal markets’, often seek to have the associated internal (or transfer) prices incorporate their social cost of pollution.

  Michael McMahon (University of Oxford) will give a presentation on Tough Talk: The Fed and the Risk Premium   Abstract: We study how monetary policy affects financial risk premia.

  Leïla Van Keirsbilck (LIDAM. CORE) The transmission of shocks across sectors and the dynamics of sectoral prices This paper explores the dynamics of U.S. sectoral producer prices in a large Bayesian vector autoregressive (BVAR) model that uses the Input-Output matrix and the Investment Flow matrix to inform the prior.

  Hassan Nosratabadi (ULB. ECARES) On the Welfare (Ir)Relevance of Two-Stage Models This paper investigates the welfare relevance of two-stage models of choice. That is, we ask to what extent these models may be used to identify preferences. We show that a large class of the two-stage models can only be identified through direct choice reversals.

  Optimization methods are fundamental to data science and AI, enabling critical tasks such as sparse data recovery, clustering, dimensionality reduction, and data completion. They are also essential for training machine learning models, including neural networks. However, existing optimization methods are being constantly challenged by the particular features of modern applications.

  Richard O’Neill (Federal Energy Regulatory Commission) invited by Nicolas Stevens will give a presentation on : Average Incremental Cost (AIC) Pricing for a Surplus-Maximizing Two-Sided Multi-Period Non-Convex ISO Auction Market Abstract : General equilibrium theory is an elegant presentation of the properties of convex and certain non-convex markets.

  François Maniquet (CORE) will give a presentation on : The welfare cost of social pressure Abstract : A basic assumption in welfare economics is that rational and well-informed choices reveal what a person considers is good for them. Social pressure, however, can be a source of discrepancy between choices and welfare.