Archivio istituzionale della Ricerca - Bocconi
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Quello di Trump è un problema anche matematico
No full textNell'aprile 2025 l'amministrazione Trump annuncia una serie di dazi verso tutte le nazioni del mondo e per giustificarle presenta una formula matematica. Analizziamola per capire che, anche se matematicamente corretta, i conti non tornano
Commento agli artt. 218-219 r.d. 16 marzo 1942, n. 267
No full textI. Storia della disposizione - II. Bene giuridico tutelato - III. Soggetti attivi - IV. Fatto - V. Elemento soggettivo - VI. Consumazione e tentativo - VII. Circostanze - VIII. Rapporti con altri reati - IX. Trattamento sanzionatorio e riflessi processuali - X. Fattispecie del cod. c.i.i. e prospettive di riforma; I. Circostanze relative all’entità del danno patrimoniale - II. Pluralità di fatti di bancarotta - III. Violazione del divieto di esercitare un’impresa commerciale - IV. Estensione alle ipotesi di bancarotta impropria - V. Rapporti con il cod. c.i.i. e prospettive di riform
Unlocking blockchain’s potential in education: opportunities, challenges, and future research directions
No full textBlockchain technology is increasingly being explored as a transformative innovation in the education sector, particularly for its potential to decentralize credentialing, enhance data sovereignty, and increase transparency in learning systems. This literature review examines the current state of research on blockchain applications in education, identifying key domains such as digital certification, learner-owned educational records, decentralized identity management, and smart contract-based learning processes. It provides a critical assessment of their potential benefits, inherent limitations, and varying levels of maturity. Findings reveal that, while the theoretical potential of blockchain in education is widely acknowledged, empirical research remains limited, fragmented, and often technology-driven
rather than pedagogy-oriented. Major challenges include interoperability issues, regulatory uncertainty, data privacy concerns, and the lack of institutional readiness. This paper contributes to the literature by offering a structured taxonomy of blockchain applications in education, highlighting conceptual tensions, and outlining an agenda for future research. The paper also discusses managerial and policy implications, emphasizing the need for interdisciplinary collaboration, ethical design, and supportive regulation
Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization in Training
No full textA mobile supportive care app for patients with metastatic lung cancer: the Lung Cancer App (LuCApp) randomized controlled trial
No full textBackgroundMobile apps to support the delivery of cancer care are proliferating, often without adequate evidence. Lung Cancer App (LuCApp) is a mobile app developed by researchers, clinicians, and patients to promote real-time monitoring and management of symptoms in patients with lung cancer. We aimed to investigate the effect of LuCApp on health-related quality of life (HRQoL), anxiety and depression, and overall survival up to 24 weeks after pharmacological treatment start, as well as its impact on resource use.MethodsWe recruited adult patients diagnosed with non-resectable lung cancer and eligible for pharmaceutical treatments for a multicenter, randomized, non-blinded, controlled parallel-group trial across four hospitals in Italy. Patients were randomly allocated 1:1 to receive either standard care or LuCApp in addition to standard care. In the LuCApp arm, patients could grade a list of symptoms, triggering alerts to the physicians in case predefined severity thresholds were met. Patients completed a baseline assessment and a set of validated patient-reported outcome measures (PROMs) up to 24 weeks after the beginning of the intervention. The primary outcome was the change in the HRQoL score in the Functional Assessment of Cancer Therapy (Lung) questionnaire in the intention-to-treat population from baseline to 12 weeks.FindingsBetween July 2018 and February 2022, 100 adult patients were enrolled (48 in the intervention arm, and 52 in the control group), before the trial was terminated due to pandemic-related challenges with recruitment. The average score (+/- SD) of the composite primary endpoint HRQoL changed from 56.3 +/- 14.8 and 54.9 +/- 12.0 at baseline in LuCApp and control arm respectively, to 55.0 +/- 15.9 and 55.9 +/- 12.1 at 12 weeks, with no significant between-group difference in the change (- 1.68, 95% CI: - 6.90 to 3.54). The average score of the two groups at 24 weeks was 57.3 +/- 14.5 and 54.8 +/- 11.9 (mean change difference: - 1.57, 95% CI: - 6.66 to 3.52). Mean difference analysis and multivariable mixed models of the HADS-anxiety score indicated improvement in favor of LuCApp, with higher scores by 1.35 (- 0.25 to 2.94) and 1.52 (- 0.14 to 3.19) at 12 and 24 weeks respectively. There was no significant difference in HADS-Depression and EQ-5D-5L scores between groups at both time points. By the end of the follow-up, 5 and 12 deaths were observed in the LuCApp and standard care group, respectively. The use of resources and related costs were lower among LuCApp patients (2900 vs 3720), although the difference was not statistically significant (p value = 0.138).InterpretationIn the Italian context, LuCApp for remote symptom monitoring did not demonstrate improved HRQoL in advanced lung cancer patients compared to standard care.Trial registrationClinicalTrials.gov NCT03512015, 15 May 2018
Discrimination expectations in the credit market: survey evidence from India
No full textWe present results from a representative survey and an information experiment to provide evidence on discrimination expectations. We find that discrimination based on gender, caste, and religion is perceived to be widespread in society overall and in the credit market. Support for affirmative action is shaped by the extent of expected discrimination against a group and by respondents' own group identity and social attitudes. Information about the true extent of discrimination is effective in correcting inaccurate discrimination expectations but has no meaningful impact on support for policies designed to reduce discrimination in practice
Nonparametric identification and estimation of all-pay auction and contest models
No full textIn this paper, I study the nonparametric identification and estimation of multi-unit all-pay auctions of incomplete information. First, I consider the setting where multiple goods are allocated among several risk-neutral participants with independent private values (IPV). I prove the nonparametric identification of the model and derive two different consistent estimators of the distribution of bidder valuations. The first estimator is based on the classical structural approach similar to that of Guerre et al. (Econometrica 68(3):525-574, 2000). The second estimator, instead, allows estimation of the quantile function of the bidders' valuations directly using the quantile density of the bids. Monte Carlo simulations show good small sample property under various assumptions of the number of players and goods. Next, I consider a variety of model extensions: the case of affiliated private values (APV), asymmetric players, the addition of random noise, as well as the case of risk-averse bidders. In contrast to all other scenarios, I prove that the general model with risk-averse bidders is not identified even in the semi-parametric case in which utility function is restricted to belong to the class of functions with constant absolute risk aversion (CARA). On the other hand, I show that the model with risk aversion can be identified if the distribution of valuations is restricted to having fixed support
Experimental evidence on the determinants of citizens' expectations toward public services
No full textWe conducted three randomized experiments to investigate whether and to what extent citizens' expectations toward waiting times for public service delivery is influenced by reference points, either in the form of social or numerical references. Consistent with our theoretical expectations, our results provide convergent evidence of reference dependence. Specifically, informing citizens that waiting times are longer (shorter) relative to a social reference causes an increase (decrease) in expected waiting times. Additionally, due to an anchoring bias, priming citizens with a higher numerical value for waiting times extends their expected waiting times. Furthermore, in line with the expectancy-disconfirmation model, citizens' satisfaction with the service is causally impacted by the extent to which actual performance exceeds their expectations
There's more to marriage than love: the effect of legal status and cultural distance on intermarriages and separations
Get PDFWe analyse the contribution of legal status incentives on the marriage choices of natives and migrants. Access to legal status reduces by 40 percent the probability of immigrants intermarrying with natives, and increases by 20 percent the hazard rate of separation for intermarriages. We develop and estimate a multidimensional equilibrium model of marriage, fertility, and separation, where individuals match on observed and unobserved characteristics. Allowing for trade-offs between cultural distance, legal status, and other socio-economic spousal characteristics, we quantify the role of legal status and the strength of cultural preferences and evaluate the welfare consequences of granting legal status to immigrants