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Tác giả
- Marina, Dabić (3)
- Christa, Sys (2)
- Domingo, Ribeiro-Soriano (2)
- Haoyu, Wen (2)
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Chủ đề
- SDGs (4)
- SMEs (3)
- CSR (2)
- decision-making units (2)
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Toàn văn
- true (260)
Kết quả tìm kiếm
We document the historical roots and contemporary consequences of masculinity norms—beliefs about the proper conduct of men. We exploit a natural experiment in which convict transportation in the 18th
and 19th centuries created a variegated spatial pattern of sex ratios across Australia. We show that in areas with heavily male-biased convict populations, relatively more men volunteered for World War I about a century later. Even at present these areas remain characterized by more violence, higher rates of male suicide and other forms of preventable male mortality, and more male-stereotypical occupational segregation. Moreover, in these historically male-biased areas, more Australians recently voted against same-sex marriage and boys—but not girls—are more likely to be bullied in s... |
Financial inclusion is known to be relevant for improving the growth perspectives of microbusinesses. This research has three aims. First, to explore how adopting business practices can impact the usage of financial products and services of these firms. Second, to determine if higher levels of microbusinesses’ formalization mediate the impact. Third, to establish if there are differences according to gender and education level. A structural equation model was estimated to test these hypotheses while considering the potential endogeneity of the main variables of interest. The model includes latent variables modeled in the form of confirmatory factor analysis. Estimates are based on self-reported information collected through a survey of 1542 microentrepreneurs in 10 Colombian cities ... |
In the framework of data envelopment analysis (DEA), Tone (Eur J Oper Res 130(3):498–509, 2001) introduced the slacks-based measure (SBM) of efficiency, which is a nonradial model that incorporates all the slacks of the evaluated decision-making units (DMUs) into their efficiency scores, unlike classical radial efficiency models. Next, Tone (Eur J Oper Res 143(1):32–41, 2002) developed the SBM super-efficiency model in order to differentiate and rank efficient DMUs, whose SBM efficiency scores are always 1. |
In this article, we measure changes in the synchronization of housing price cycles across Spanish cities over time. We rely on a regime-switching framework that identifies the housing price cycles of pairs of cities and simultaneously infers the evolving relation between those cycles. These bilateral relationships are then summarized into an aggregate index of city-level housing cycle synchronization. The estimates suggest that Spanish housing prices have followed a convergence pattern that reached a peak in 2009 and decreased slightly afterward. We also identify the cities that have been the main contributors to this convergence process. Moreover, we show that differences in population growth and economic structure are key factors in explaining the evolution of housing price synchr... |
While research on entrepreneurship and entrepreneurial ecosystems (EEs) has consolidated over the last decade, one question remains unanswered: how can the sustainability orientation of EE actors facilitate the intensity and growth orientation of entrepreneurship in the ecosystem? Entrepreneurship activity relies on the sustainability orientation of the ecosystem, which is lacking in most developing countries where reaching the UN’s Sustainable Development Goals (SDGs) is the most pressing concern. Using primary data on 1789 EE actors from 17 cities in East and South-East Europe and econometric analysis techniques, we investigate the relationship between the sustainability orientation of EE actors and EE outcomes. |
As many automated algorithms find their way into the IT systems of the banking sector, having a way to validate and interpret the results from these algorithms can lead to a substantial reduction in the risks associated with automation. Usually, validating these pricing mechanisms requires human resources to manually analyze and validate large quantities of data. There is a lack of effective methods that analyze the time series and understand if what is currently happening is plausible based on previous data, without information about the variables used to calculate the price of the asset. This paper describes an implementation of a process that allows us to validate many data points automatically. |
Efficient computability is an important property of solution concepts. We consider the computational complexity of finding and verifying various solution concepts in trading networks—multi-sided matching markets with bilateral contracts and without transferable utility—under the assumption of full substitutability of agents’ preferences. It is known that outcomes that satisfy trail stability always exist and can be found in linear time. However, we show that the existence of stable outcomes—immune to deviations by arbitrary sets of agents—is an NP
-hard problem in trading networks. We also show that even verifying whether a given outcome is stable is NP
-hard in trading networks. |
We provide micro foundations for the global production function (GPF) based on the standard microeconomic model, and we develop a parallel probabilistic model with similar properties. The theoretical and probabilistic models of the GPF are integrated in the context of a technology choice problem. We construct a primitive, named the augmented transformation function, to obtain a GPF and its associated joint distribution that includes the output and labor-saving and capital-saving technological innovations. This type of primitive allows us not only to derive the theoretical GPF but also to consistently build a link between the substitutability microparameters (elasticities) and the probabilistic parameters (correlations). |
In response to the unprecedented uncertain rare events of the last decade, we derive an optimal portfolio choice problem in a semi-closed form by integrating price diffusion ambiguity, volatility diffusion ambiguity, and jump ambiguity occurring in the traditional stock market and the cryptocurrency market into a single framework. We reach the following conclusions in both markets: first, price diffusion and jump ambiguity mainly determine detection-error probability; second, optimal choice is more significantly affected by price diffusion ambiguity than by jump ambiguity, and trivially affected by volatility diffusion ambiguity. |
We introduce stochastic loss into a gift exchange game to study how information on intentions affects reciprocity. In one treatment, the respondent observes the amount received and whether a loss occurred, so both the consequential outcome and the sender’s original intention are known. In the other two treatments, information about whether a loss occurred is hidden, and the respondent is only informed of the amount received (outcome) or the amount initially sent (intention). Using both regression-based approaches and non-parametric tests, we find greater reciprocity in the two treatments that reveal intentions. These differences arise even in a simple one-shot setting without reputational benefits and are economically meaningful; they are similar in magnitude to the difference attri... |
