Seminari - Dipartimento Scienze Economiche validi dal 01.06.2024 al 01.06.2025. https://www.dse.univr.it/?ent=seminario&lang=it&rss=0 https://www.dse.univr.it/?ent=seminario&lang=it&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&lang=it&rss=0&id=6272 https://www.dse.univr.it/?ent=seminario&lang=it&rss=0&id=6326 Relatore: Chiara Forlati; Provenienza: University of Southampton; Data inizio: 2024-09-12; Ora inizio: 12.00; Referente interno: Alessia Campolmi; Riassunto: High carbon prices in the EU might drive emission-intensive industrial processes towards countries with relatively lower carbon prices. To prevent such carbon leakage, the EUrsquo;s Carbon Border Adjustment Mechanism (CBAM) taxes emissions embedded in imports for the difference between carbon prices in the EU and the origin country. Because embedded emissions are very difficult to measure, CBAM applies to only five industries and accepts benchmarks instead of actual embedded emissions. These simplifications make CBAM tractable but compromise its effect on carbon leakage. We propose an alternative policy that requires no knowledge of embedded emissions and can be applied to all tradable sectors: the Leakage Border Adjustment Mechanism (LBAM). LBAM implements import tariffs (and, possibly, export subsidies) that sterilize the changes in imports (and exports) induced by a higher EU carbon price. LBAM requires information only about domestic output to-emissions elasticities as well as elasticities of import demand and export supply, which we estimate using publicly available data. We calibrate a granular structural trade model with 57 countries and 131 sectors to quantify the welfare and emission impacts of LBAM. We find that LBAM improves over CBAM in terms of global emissions and EU welfare. We assess how lsquo;climate clubsrsquo; of countries that adopt common carbon prices and border adjustments mechanisms perform on these outcomes. Thu, 12 Sep 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&lang=it&rss=0&id=6326 https://www.dse.univr.it/?ent=seminario&lang=it&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&lang=it&rss=0&id=6243 https://www.dse.univr.it/?ent=seminario&lang=it&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&lang=it&rss=0&id=6067 https://www.dse.univr.it/?ent=seminario&lang=it&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&lang=it&rss=0&id=6270 https://www.dse.univr.it/?ent=seminario&lang=it&rss=0&id=6052 Relatore: Massimo Anelli; Provenienza: Bocconi University; Data inizio: 2024-06-19; Ora inizio: 12.00; Referente interno: Alessandro Bucciol; Riassunto: Historically, labor unions have played a crucial role in liberal democracies by hindering the increasing wage inequality, by channeling political demands and discontent into an organized voice, and by linking blue-collar constituencies to mainstream left parties. However, the importance and effectiveness of unions in the democratic process have progressively diminished in the last decades, combined with an atomization of political demands. We suggest that technological change, and robotization in particular, have directly contributed to weakening the role of unions. We employ novel granular data, at the subnational and sector level, on union density in Western Europe over two decades, to estimate the impact of industrial robot adoption on unionization rates. We find that regions more exposed to automation experience a decrease in union density. This evidence contributes to explain why technologically-driven economic grievances tend to express a decidedly right-wing character and do not favor pro-redistribution left-wing parties. This is a joint work with Paolo Agnolin, Italo Colantone, Piero Stanig. Wed, 19 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&lang=it&rss=0&id=6052 https://www.dse.univr.it/?ent=seminario&lang=it&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&lang=it&rss=0&id=6208 https://www.dse.univr.it/?ent=seminario&lang=it&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&lang=it&rss=0&id=6177 https://www.dse.univr.it/?ent=seminario&lang=it&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; Riassunto: Conventional macroeconomic time series models generally only include aggregate variables (e.g., output, inflation, unemployment), and can only be used to address ldquo;aggregate questionsrdquo;. In this paper we bridge aggregate (macro) and micro data in a functional-Vector Autoregression (fVAR). Whereas these tools have been employed already for structural analysis, we extend the model to appropriately consider the mixed-frequency nature of the data, and we evaluate the nowcasting and forecasting performance of the fVAR. In an application to UK data, wederive appropriate inter-temporal restrictions to link unobserved quarterly income distribution to observed annual income distribution, and we perform a real-time out-of-sample forecasting exercise.We find that correctly exploiting the mixted-frequency of the data can deliver improvements in the predictive ability of the model. Thu, 6 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&lang=it&rss=0&id=6172 https://www.dse.univr.it/?ent=seminario&lang=it&rss=0&id=6329 Relatore: Amie Jobe; Provenienza: Universirty of Verona; Data inizio: 2024-06-04; Ora inizio: 12.00; Referente interno: Maurizio Malpede; Riassunto: TBA. Tue, 4 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&lang=it&rss=0&id=6329