Seminari - Dipartimento Scienze Economiche validi dal 24.04.2024 al 24.04.2025. https://www.dse.univr.it/?ent=seminario&rss=0 https://www.dse.univr.it/?ent=seminario&rss=0&id=6272 Relatore: Mathias Klein; Provenienza: Sveriges RiksBank; Data inizio: 2024-09-26; Ora inizio: 12.30; Referente interno: Alessia Campolmi; Riassunto: https://sites.google.com/site/mathiaswklein/ . Thu, 26 Sep 2024 12:30:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6272 https://www.dse.univr.it/?ent=seminario&rss=0&id=6243 Relatore: Thomas Krabichler; Provenienza: OST - Eastern Switzerland University of Applied Sciences, Centre for Banking & Finance; Data inizio: 2024-07-04; Ora inizio: 12.00; Referente interno: Sara Svaluto Ferro. Thu, 4 Jul 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6243 https://www.dse.univr.it/?ent=seminario&rss=0&id=6067 Relatore: Simon Siegenthaler; Provenienza: University of Texas at Dallas; Data inizio: 2024-06-27; Ora inizio: 12.00; Referente interno: Giam Pietro Cipriani. Thu, 27 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6067 https://www.dse.univr.it/?ent=seminario&rss=0&id=6270 Relatore: Giulia Livieri; Provenienza: London School of Economics and Political Science; Data inizio: 2024-06-26; Ora inizio: 12.00; Referente interno: Cecilia Mancini. Wed, 26 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6270 https://www.dse.univr.it/?ent=seminario&rss=0&id=6052 Relatore: Massimo Anelli; Provenienza: Bocconi University; Data inizio: 2024-06-20; Ora inizio: 12.00; Referente interno: Alessandro Bucciol. Thu, 20 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6052 https://www.dse.univr.it/?ent=seminario&rss=0&id=6208 Relatore: Umberto Nizza; Provenienza: University of Verona; Data inizio: 2024-06-18; Ora inizio: 12.00; Note orario: Aula Vaona; Referente interno: Maurizio Malpede. Tue, 18 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6208 https://www.dse.univr.it/?ent=seminario&rss=0&id=6177 Relatore: Moti Michaeli; Provenienza: University of Haifa; Data inizio: 2024-06-13; Ora inizio: 12.00; Referente interno: Marco Piovesan. Thu, 13 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6177 https://www.dse.univr.it/?ent=seminario&rss=0&id=6282 Relatore: J. Geller; Provenienza: Kohlpharma; Data inizio: 2024-06-11; Ora inizio: 12.00; Referente interno: Maurizio Malpede. Tue, 11 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6282 https://www.dse.univr.it/?ent=seminario&rss=0&id=6172 Relatore: Andrea De Polis; Provenienza: Warwick Business School; Data inizio: 2024-06-06; Ora inizio: 12.00; Referente interno: Giuseppe Buccheri. Thu, 6 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6172 https://www.dse.univr.it/?ent=seminario&rss=0&id=6104 Relatore: Davide Dragone; Provenienza: University of Bologna; Data inizio: 2024-05-30. Thu, 30 May 2024 00:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6104 https://www.dse.univr.it/?ent=seminario&rss=0&id=6051 Relatore: Pierre Dubois; Provenienza: TSE; Data inizio: 2024-05-23; Ora inizio: 12.00; Referente interno: Paolo Pertile. Thu, 23 May 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6051 https://www.dse.univr.it/?ent=seminario&rss=0&id=6281 Relatore: Michela Boldrini; Provenienza: Bocconi University; Data inizio: 2024-05-22; Ora inizio: 12.00; Referente interno: Maurizio Malpede. Wed, 22 May 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6281 https://www.dse.univr.it/?ent=seminario&rss=0&id=6050 Relatore: Tom Van Ourti; Provenienza: Erasmus University Rotterdam; Data inizio: 2024-05-16; Ora inizio: 12.00; Referente interno: Catia Nicodemo. Thu, 16 May 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6050 https://www.dse.univr.it/?ent=seminario&rss=0&id=6207 Relatore: Giulia Montresor; Provenienza: University of Verona; Data inizio: 2024-05-14; Ora inizio: 12.00; Note orario: Aula Vaona; Referente interno: Maurizio Malpede. Tue, 14 May 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6207 https://www.dse.univr.it/?ent=seminario&rss=0&id=6171 Relatore: Lukas Gonon; Provenienza: Imperial College London; Data inizio: 2024-05-09; Ora inizio: 12.00; Riassunto: Deep learning algorithms have been shown empirically to work well in many classical problems from mathematical finance. Theoretical foundations of deep learning in this context, however, are far less developed. In this talk we present our recent results on error guarantees for approximating option prices, solutions to jump-diffusion PDEs and optimal stopping problems using (random) neural networks. We address neural network expressivity, highlight challenges in analysing optimization and show how random neural networks are able to mitigate these difficulties. Thereby, randomization yields a fully-implementable neural network-based learning algorithm that provably overcomes the curse of dimensionality in certain practically relevant situations. Thu, 9 May 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6171 https://www.dse.univr.it/?ent=seminario&rss=0&id=6206 Relatore: Niccolò Lomys; Provenienza: University of Naples; Data inizio: 2024-05-08; Ora inizio: 12.00; Note orario: Aula Vaona; Referente interno: Maurizio Malpede; Riassunto: We theoretically study the problem of a researcher seeking to identify and estimate the search cost distribution when a share of agents in the population has access to social information---i.e., the choices and experiences of other agents. To begin with, we show that social information changes agents#39; optimal search and, as a result, the distributions of observable outcomes identifying the search model. Consequently, neglecting social information leads to non-identification of the search cost distribution. Whether, as a result, search frictions are under- or over-estimated depends on the dataset#39;s content. Next, we present empirical strategies that restore identification and correct estimation. First, we show how to recover robust bounds on the search cost distribution by imposing only minimal assumptions on agents#39; social information. Second, we explore how leveraging additional data or stronger assumptions can help obtain more informative estimates. To illustrate our findings, we evaluate their implications for quantifying welfare, demand, and price elasticities and conduct simple counterfactual exercises on policy evaluation and platform design. Wed, 8 May 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6206 https://www.dse.univr.it/?ent=seminario&rss=0&id=6049 Relatore: Thomas Dohmen; Provenienza: University of Bonn; Data inizio: 2024-05-02; Ora inizio: 12.00; Note orario: Cancelled; Referente interno: Andrea Mazzon; Riassunto: Cancelled. Thu, 2 May 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6049 https://www.dse.univr.it/?ent=seminario&rss=0&id=6280 Relatore: Chiara Costi; Provenienza: University of Luxemburg; Data inizio: 2024-04-24; Ora inizio: 12.00; Referente interno: Maurizio Malpede; Riassunto: Abstract:We assess the causal effect of return-to-office (RTO) mandates on workersrsquo; health and well-being, leveraging an exogenous shift in working conditions for public sector employees in Italy. Analyzing nine waves of quarterly panel data, we find that the likelihood to work from home for treated workers is notably reduced afterthe RTO mandate. When looking at daily time use, we observe an increase in days spent outside and a reduction in working hours. The RTO mandate does not impact any of the fifteen health and well-being outcomes. This null effect reflects a balance between positive and negative consequences of passing from work-from-home to in-office work. . Wed, 24 Apr 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&rss=0&id=6280