Seminari - Dipartimento Economics validi dal 06.06.2024 al 06.06.2025. https://www.dse.univr.it/?ent=seminario&lang=en&rss=0 https://www.dse.univr.it/?ent=seminario&lang=en&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=en&rss=0&id=6272 https://www.dse.univr.it/?ent=seminario&lang=en&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=en&rss=0&id=6326 https://www.dse.univr.it/?ent=seminario&lang=en&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=en&rss=0&id=6243 https://www.dse.univr.it/?ent=seminario&lang=en&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=en&rss=0&id=6067 https://www.dse.univr.it/?ent=seminario&lang=en&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=en&rss=0&id=6270 https://www.dse.univr.it/?ent=seminario&lang=en&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=en&rss=0&id=6052 https://www.dse.univr.it/?ent=seminario&lang=en&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=en&rss=0&id=6177 https://www.dse.univr.it/?ent=seminario&lang=en&rss=0&id=6333 Relatore: Maryam Soltani; Provenienza: EconomiX-Paris X; Data inizio: 2024-06-12; Ora inizio: 12.00; Referente interno: Maurizio Malpede. Wed, 12 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&lang=en&rss=0&id=6333 https://www.dse.univr.it/?ent=seminario&lang=en&rss=0&id=6332 Relatore: Sara Savastano; Provenienza: IFAD and University of Rome Tor Vergata; Data inizio: 2024-06-07; Ora inizio: 12.00; Referente interno: Martina Menon; Riassunto: The main goal of this seminar is to showcase IFADrsquo;s efforts in generating knowledge and evidence through rigorous impact assessments to support inclusive food systems transformation. Selected examples out of 25 impact assessments IFAD implemented between 2019 and 2021 will highlight important lessons learned for agriculture productivity and food security. The presentations aim to feed into policy and program design with a focus on the importance of data, knowledge and evidence for inclusive rural transformation, food security and adaptation to climate change. Conducting systematic impact assessments is a key step in the process of enhancing development effectiveness. At the corporate level, they help measure progress and achievements as well as inform the setting of new targets for the future. At the project level, they document successes and areas of improvement for each project, as well as the mechanisms through which impacts are achieved. IFAD remains the only international financial institution with a corporate commitment to report on development targets using rigorous impact assessments. IFAD conducts impact assessments on at least 15 per cent of its project portfolio every three years. The projects are selected to be representative of IFAD#39;s overall interventions, which allows IFAD to report on the overall impacts of its operations. The lessons learned from impact assessments are also used to inform decision-making, project design as well as target setting. This presentation will summarize IFADrsquo;s methodology used to go from project-level impact assessments to corporate level reporting on IFAD targets on its goal and strategic objectives. It will also present the results of IFAD11 IAs, summarizing corporate level impacts of all IFAD projects that have closed between 2019 and 2021. Fri, 7 Jun 2024 12:00:00 +0200 https://www.dse.univr.it/?ent=seminario&lang=en&rss=0&id=6332 https://www.dse.univr.it/?ent=seminario&lang=en&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=en&rss=0&id=6172