Zobrazeno 1 - 10
of 791
pro vyhledávání: '"62p20"'
Autor:
Caceres, Hugo E., Moews, Ben
Financial regulators such as central banks collect vast amounts of data, but access to the resulting fine-grained banking microdata is severely restricted by banking secrecy laws. Recent developments have resulted in mechanisms that generate faithful
Externí odkaz:
http://arxiv.org/abs/2410.22519
In the literature on stochastic frontier models until the early 2000s, the joint consideration of spatial and temporal dimensions was often inadequately addressed, if not completely neglected. However, from an evolutionary economics perspective, the
Externí odkaz:
http://arxiv.org/abs/2410.20915
Autor:
Ng, Hunter
This article investigates whether the Federal Reserve Chair strategically controls facial expressions during FOMC press conferences and how these nonverbal cues affect financial markets. I use facial recognition technology on videos of press conferen
Externí odkaz:
http://arxiv.org/abs/2410.20214
Autor:
Csató, László
Swiss-system is an increasingly popular tournament format as it provides an attractive trade-off between the number of matches and ranking accuracy. However, few empirical research consider the optimal design of the Swiss-system. We contribute to thi
Externí odkaz:
http://arxiv.org/abs/2410.19333
The problem is in the estimation of the fraction of population with a sensitive characteristic. We consider the Item Count Technique an indirect method of questioning designed to protect respondents' privacy. The exact confidence interval for the sen
Externí odkaz:
http://arxiv.org/abs/2410.14301
Autor:
Costa, Helder Gomes, Shimoda, Eduardo, Costa, José Fabiano da Serra, Shimoya, Aldo, Eufrazio, Edilvando Pereira
The question that drives this research is: "How to discover the number of respondents that are necessary to validate items of a questionnaire as actually essential to reach the questionnaire's proposal?" Among the efforts in this subject, \cite{Lawsh
Externí odkaz:
http://arxiv.org/abs/2410.11151
Autor:
Porreca, Annamaria, Ventre, Viviana, Martino, Roberta, Rambaud, Salvador Cruz, Maturo, Fabrizio
Classical finance models are based on the premise that investors act rationally and utilize all available information when making portfolio decisions. However, these models often fail to capture the anomalies observed in intertemporal choices and dec
Externí odkaz:
http://arxiv.org/abs/2410.16307
Covariance regression offers an effective way to model the large covariance matrix with the auxiliary similarity matrices. In this work, we propose a sparse covariance regression (SCR) approach to handle the potentially high-dimensional predictors (i
Externí odkaz:
http://arxiv.org/abs/2410.04028
This study examines the factors that determine workplace autonomy in the choice of schedules, using GEIH data for formal employees from January 2023 to February 2024. A logistic regression model identified significant relationships between autonomy a
Externí odkaz:
http://arxiv.org/abs/2409.14271
Measuring the degree of inequality expressed by a multivariate statistical distribution is a challenging problem, which appears in many fields of science and engineering. In this paper, we propose to extend the well known univariate Gini coefficient
Externí odkaz:
http://arxiv.org/abs/2409.10119