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  • Authors: Marcin, Suder; Tomasz, Wójtowicz; Rafał, Kusa;  Advisor: -;  Co-Author: - (2023)

    One of the most important issues related to the management of an Automatic Teller Machine (ATM) network is the correct forecasting of the demand for cash. Typically, this demand, expressed as the value or number of ATM withdrawals, has some regularities that can be used to evaluate future values for these variables. However, forecasting becomes a challenge when a crisis occurs that could affect the behavior of ATM users. In this context, it is important to identify how the development of the crisis and the various information concerning it may affect people’s attitudes to cash.

  • Authors: Andreas, Beerli; Ronald, Indergand; Johannes S., Kunz;  Advisor: -;  Co-Author: - (2022)

    An important goal of immigration policy is facilitating the entry of foreign-born workers whose skills are in short supply in destination labor markets. In recent decades, information and communication technology (ICT) has fueled the demand for highly educated workers at the expense of less-educated groups. Exploiting the fact that regions in Switzerland have been differentially exposed to ICT due to their pre-ICT industrial composition, we present evidence suggesting that more exposed regions experienced stronger ICT adoption, accompanied by considerably stronger growth in relative employment and wage premia for college-educated workers.

  • Authors: Juan José Vinagre, Díaz; Rubén Fernández, Pozo; Ana Belén Rodríguez, González;  Advisor: -;  Co-Author: - (2023)

    E-scooter services have multiplied worldwide as a form of urban transport. Their use has grown so quickly that policymakers and researchers still need to understand their interrelation with other transport modes. At present, e-scooter services are primarily seen as a first-and-last-mile solution for public transport. However, we demonstrate that 50% of e-scooter trips are either substituting it or covering areas with little public transportation infrastructure. To this end, we have developed a novel data-driven methodology that autonomously classifies e-scooter trips according to their relation to public transit.

  • Authors: M., Perez-Alvarez; M., Favara;  Advisor: -;  Co-Author: - (2023)

    Using panel data from India, this paper investigates the effect of early maternal age on offspring human capital, contributing to the scarce evidence on this phenomenon, especially in the context of a developing country. The analysis relies on mother fixed effects to allow for unobserved differences between mothers and employs a variety of empirical strategies to address remaining sibling-specific concerns. Our results indicate that children born to young mothers are shorter for their age, with stronger effects for girls born to very young mothers. We also find some evidence suggesting that children born to very young mothers perform worse in math. By exploring the evolution of effects over time for the first time in the literature, we find that the height effect weakens as children...

  • Authors: Zhan, Gao; M. Hashem, Pesaran;  Advisor: -;  Co-Author: - (2023)

    This paper proposes a linear categorical random coefficient model, in which the random coefficients follow parametric categorical distributions. The distributional parameters are identified based on a linear recurrence structure of moments of the random coefficients. A generalized method of moments estimation procedure is proposed, also employed by Peter Schmidt and his coauthors to address heterogeneity in time effects in panel data models. Using Monte Carlo simulations, we find that moments of the random coefficients can be estimated reasonably accurately, but large samples are required for the estimation of the parameters of the underlying categorical distribution.

  • Authors: Anna, Varga-Csajkás; Tamás, Sebestyén; Attila, Varga;  Advisor: -;  Co-Author: - (2022)

    This study aims to show how supporting new business formation could promote the emergence of new ties in the knowledge network. Stimulating start-ups is conducive to the innovation system and economic development, however, we show how it has additional beneficial effects by the increasing the density of the innovation network. An innovation network is a complex socioeconomic phenomenon, which emerges from the decisions of many heterogeneous agents, that justifies the use of an agent-based model (ABM). We introduce an application of an ABM that is appropriate for simulating network formation among organizations. Agents are placed in the two-dimensional abstract social space where they are moving toward each other to find cooperation partners, following the gravity principle.

  • Authors: Niket, Jindal; Rebecca J., Slotegraaf;  Advisor: -;  Co-Author: - (2023)

    Research shows that marketing investments play a pivotal role in a firm’s own bankruptcy. However, there are even more firms that are not confronting bankruptcy themselves yet face spillovers from a rival’s bankruptcy. For such firms, it remains unknown whether their marketing investments affect these spillovers. We show that, in contrast to their generally positive effects in other contexts, advertising and R&D can either help or harm in the context of bankruptcy spillovers. The difference hinges on the industry’s growth and concentration. Advertising decreases (increases) a firm’s stock return when its rival files for bankruptcy in a low- (high-) growth industry and R&D decreases (increases) the stock return in a low- (high-) concentration industry.

  • Authors: Jiaoe, Wang; Yanan, Li; Jingjuan, Jiao;  Advisor: -;  Co-Author: - (2022)

    Understanding the temporal and spatial dynamics and determinants of public transport ridership play an important role in urban planning. Previous studies have focused on exploring the determinants at the station level using global models, or a local model, geographically weighted regression (GWR), which cannot reveal spatial autocorrelation at the global level. This study explores the factors affecting bus ridership considering spatial autocorrelation using the spatial Durbin model (SDM). Taking the community in Beijing as the basic study unit, this study aims to explore the temporal and spatial dynamics of bus ridership and identify its key determinants considering neighboring effects. The results show the following: (1) The temporal dynamics are quite distinct on weekdays and week...

  • Authors: Francisco, Vargas; Laura, Martignon; Keith, Stenning;  Advisor: -;  Co-Author: - (2023)

    The notion of “bounded rationality” was introduced by Simon as an appropriate framework for explaining how agents reason and make decisions in accordance with their computational limitations and the characteristics of the environments in which they exist (seen metaphorically as two complementary scissor blades).We elaborate on how bounded rationality is usually conceived in psychology and on its relationship with logic. We focus on the relationship between heuristics and some non-monotonic logical systems.

  • Authors: Siegel, Rachel;  Advisor: -;  Co-Author: - (2009)

    This book is arranged by learning objectives. The headings, summaries, reviews, and problems all link together via the learning objectives. This helps instructors to teach what they want, and to assign the problems that correspond to the learning objectives covered in class.