if this message does not display correctly, click here | Table of Contents Luisa Corrado, University of Rome Tor Vergata Department of Economics and Finance
Stefano Grassi, University of Rome, Tor Vergata, Faculty of Economics, Department of Economics and Finance
Aldo Paolillo, University of Rome Tor Vergata Giovanni Di Bartolomeo, Sapienza University of Rome, Department of Economics and Law
Stefano Papa, University of Tor Vergata
Alessandra Pelloni, Independent Gianluca Cubadda, University of Rome Tor Vergata - Department of Economics and Finance | |
CEIS: CENTRE FOR ECONOMIC & INTERNATIONAL STUDIES
Marianna Brunetti - Director "Technology Spillovers from the Final Frontier: A Long-Run View of U.S. Space Innovation " 
CEIS Working Paper No. 609 LUISA CORRADO, University of Rome Tor Vergata Department of Economics and Finance
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STEFANO GRASSI, University of Rome, Tor Vergata, Faculty of Economics, Department of Economics and Finance
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ALDO PAOLILLO, University of Rome Tor Vergata
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Recent studies suggest that space activities generate significant economic benefits. This paper attempts to quantify these effects by modeling both business cycle and long-run effects driven by space sector activities. We develop a model in which technologies are shaped by both a dedicated R&D sector and spillovers from space-sector innovations. Using U.S. data from the 1960s to the present day, we analyze patent grants to distinguish between space and core sector technologies. By leveraging the network of patent citations, we further examine the evolving dependence between space and core technologies over time. Our findings highlight the positive impact of the aerospace sector on technological innovation and economic growth, particularly during the 1960s and 1970s. "Beyond Colors: Communication and Social Identity in Natural Groups"
CEIS Working Paper No. 610 GIOVANNI DI BARTOLOMEO, Sapienza University of Rome, Department of Economics and Law
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STEFANO PAPA, University of Tor Vergata
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ALESSANDRA PELLONI, Independent
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This paper examines whether communication can mitigate in-group favoritism when group membership is based on a real-life trait (Italian vs. non-Italian citizenship among university students) rather than artificially induced, as in the minimal group paradigm. In our natural group setting, the identity effect is presumably stronger, making bias harder to counter. We do not find that communication significantly increases cooperation. Moreover, it does not reduce favoritism. However, the exchange of mutual promises increases cooperation and reduce in-group bias. A notable finding not found in previous studies is that gender differences also emerge: Italian males exhibit stronger in-group bias than females, whereas the opposite holds true among non-Italians. Overall, our findings confirm that not all groups are alike and that results from minimal group experiments may not always generalize to natural groups. "VAR Models with an Index Structure: A Survey with New Results"
CEIS Working Paper No. 611 GIANLUCA CUBADDA, University of Rome Tor Vergata - Department of Economics and Finance
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The main aim of this paper is to review recent advances in the multivariate autoregressive index model [MAI], originally proposed by Reinsel (1983), and their applications to economic and financial time series. MAI has recently gained momentum because it can be seen as a link between two popular but distinct multivariate time series approaches: vector autoregressive modeling [VAR] and the dynamic factor model [DFM]. Indeed, on the one hand, the MAI is a VAR model with a peculiar reduced-rank structure; on the other hand, it allows for identification of common components and common shocks in a similar way as the DFM. The focus is on recent developments of the MAI, which include extending the original model with individual autoregressive structures, stochastic volatility, time-varying parameters, high-dimensionality, and cointegration. In addition, new insights on previous contributions and a novel model are also provided. | | ^top
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