Environmental impacts of commuting modes in Lisbon: A life-cycle assessment addressing particulate matter impacts on health

A life-cycle assessment of commuting alternatives is conducted that compares six transportation modes (car, bus, train, subway, motorcycle, and bicycle) for eight impact indicators. Fine particulate matter (PM_2.5) emissions and health impacts are incorporated in the assessment using intake fractions that differentiate between urban and nonurban emissions, combined with an effect factor. The potential benefits of different strategies for reducing environmental impacts are illustrated. The results demonstrate the need for comprehensive approaches that avoid problem-shifting among transportation-related strategies. Policies aiming to improve the environmental performance of urban transportation should target strategies that decrease local emissions, life-cycle impacts and health effects.     

Optimal monetary policy revisited: does considering US real-time data change things?

The primary goal of this article is to investigate whether properly modelling real-time data and optimal real-time decision-making of a monetary planner provides new insights into monetary policy behaviour and outcomes. This article extends a variant of the asymmetric preference model suggested by Ruge-Murcia to investigate the use of real-time data available to policymakers when making their decisions and revised data which more accurately measure economic performance, but is only available much later. In our extended model, the central banker targets a weighted average of revised and real-time inflation together with a weighted average of revised and real-time output. Moreover, we allow for an asymmetric central bank response to real-time data depending on whether the unemployment rate is high or low. Our model identifies several new potential sources of inflation bias due to data revisions. Our empirical results suggest that the Federal Reserve Bank focuses on targeting revised inflation during low unemployment periods, but it weighs heavily real-time inflation during high unemployment periods. The inflation bias due to data revisions is comparable in magnitude to the bias from asymmetric central banker preferences with the bias being somewhat larger during high unemployment.     

Integrating virtual reality devices into the body: effects of technological embodiment on customer engagement and behavioral intentions toward the destination

ABSTRACT

Virtual reality devices create a high integration of technologies with human senses. However, few studies analyze how embodied technologies affect customer pre-experiences with a destination. Results from a lab experiment show that compared to desktop PC and mobile phones, VR head-mounted displays generate more immersive experiences, higher sensory stimulation, more engagement, and higher behavioral intentions toward the destination. Immersion and sensory stimulation mediate the effects of technological embodiment on engagement and behavioral intentions. Furthermore, active (versus passive) tourism content strengthens these effects. Our results stress the role of technological embodiment to generate effective pre-experiences with potential tourists’ destinations.     

Durbin’s random substitution and conditional Monte Carlo

Durbin (Biometrika 48:41–55, 1961) proposed a method called random substitution, by which a composite problem of goodness-of-fit can be reduced to a simple one. In this paper we provide a method of finding the p-value of any test statistic, for a composite goodness-of-fit problem, based on the simulation of a large number of conditional samples, using an analog of Durbin’s proposal in a reverse-type application. We analyze a Bayesian chi-square test proposed in Johnson (Ann Stat 32:2361–2384, 2004) which relies on a single randomization and relate it with Durbin’s original method. We also review a related proposal for conditional Monte-Carlo simulation in Lindqvist and Taraldsen (Biometrika 92:451–464, 2005) and compare it with our procedure. We show our method in a non-group example introduced in Lindqvist and Taraldsen (Biometrika 90:489–490, 2003).     

Challenges facing European labour markets: Is a skill upgrade the appropriate instrument?

The financial and economic crisis shattered the Lisbon Strategy’s attempt to increase the EU’s employment rate to 70% among 15–64 year olds by 2010. The new Europe 2020 strategy envisages a 75% adult employment rate by 2020; however, this goal also seems unrealistic in light of the economic crisis which has caused the EU’s employment rate to drop significantly below 70%. A crucial question now is whether a skill upgrade of the European labour force would help to increase the employment rate, especially among youth. This Forum explores the relationship between education and employment throughout the EU.     

Autocratic tensions,cronyism, and the opacity of business information: party newspapers and circulation figures during the Francoist dictatorship (1939–1975)

Autocracies draw their political power from cronyism and organized repression. The opacity of business information (economic censorship) protects these regimes and their crony firms from any opposition. However, autocracies might also desire to eliminate cronyism (and therefore opacity) because it dampens economic growth. Autocracies survive through repression that engenders tensions, as evident in the Spanish newspaper industry during the Francoist dictatorship. State control over this industry was important because the press disseminated news to the public. From 1939 to 1957, the autocracy institutionalized both cronyism and the opacity of circulation figures to sustain the political powers of Franco and the single party state. Opacity concealed the economic performance of newspapers owned by sole legal party and any distribution of resources in its favor. Franco authorized voluntary disclosure of reliable circulation figures in 1964, after eliminating cronyism in favor of a freer market. Repression guaranteed support for this industry until Franco's death.     

Expressions of Relationship Networking in International Entrepreneurship

The role of networks is a major factor in the internationalization process for entrepreneurs. In this article, we analyze the influence of social networks in international entrepreneurship. We developed a multiple case study based on a qualitative perspective, selecting four fruit exporters from the Brazil’s semi-arid region and used a qualitative and longitudinal design. These firms are among the largest fruit exporters in Brazil. Content analysis was derived by examining organizational documents, bibliographical material, and semi-structured interviews with 30 managers and consultants. We used ATLAS.ti software to analyze the collected material. The major networks were formed with buyers and competitors, affording benefits such as trust and information; relationships were therefore formed in both vertical and horizontal directions. Consequently, and due to their influence on the internationalization process, social networks are considered a relevant subject in international entrepreneurship. Moreover, the expressions of social networking have interfaces with both the exploration of international opportunities and attitude towards risk, as well as the development of competitive features that are the fundamental dimensions of international entrepreneurship. The results reveal that social networks are fundamental to entrepreneurs’ businesses and are strategic for their development and maintenance. Recognition of such role of these networks in international entrepreneurship is the main contribution of this paper.     

THE CONTINUOUS WAVELET TRANSFORM: MOVING BEYOND UNI‐ AND BIVARIATE ANALYSIS

A body of work using the continuous wavelet transform has been growing. We provide a self‐contained summary on its most relevant theoretical results, describe how such transforms can be implemented in practice, and generalize the concept of simple coherency to partial wavelet coherency and multiple wavelet coherency, moving beyond bivariate analysis. We also describe a family of wavelets, which emerges as an alternative to the popular Morlet wavelet, the generalized Morse wavelets. A user‐friendly toolbox, with examples, is attached to this paper.     

Aggregation Bias in Estimates of Conditional Conservatism: Theory and Evidence

This paper documents a study about the influence of the aggregation effect on the estimates of models based on the original Basu model – specifically the Ball, Kothari and Nikolaev model (Ball et al., 2013b). We provide an analytical study of the effect, showing that it can produce two biases: an omitted‐variable bias and a truncated‐sample bias. Using separate proxies for good and bad news for each company and year, we estimate the empirical sign and magnitude of those biases. Our results show that the estimates of conditional conservatism based on regressions of (unexpected) earnings on (unexpected) returns, as in the paper by Ball et al., are contaminated by substantial aggregation bias. More specifically, the aggregation effect causes these models to underestimate good‐news timeliness and overestimate bad‐news timeliness, thereby overestimating differential timeliness. Moreover, when we use proxies that provide better control for the aggregation effect, the differential timeliness coefficient tends to 0, showing that the influence of conditional conservatism on the returns–earnings relationship is, at best, marginal.     

Being a woman in an ICT job: an analysis of the gender pay gap and discrimination in Spain

Despite policy initiatives aimed at promoting female access to jobs, the information and communication technology (ICT) professions have traditionally been largely monopolised by men. Segregation, gendered stereotypes and environmental factors have a clear impact on educational and professional choices, as well as on working conditions. The spread of ICT to all economic activities has meant that ICT specialists are now to be found everywhere, not only in the ICT sector where many stereotypes related to technical jobs persist. This work aims to analyse the gender wage gap and discrimination in ICT professions, with the emphasis on how working in an ICT-intensive industry might affect that situation. The study uses the Spanish Earning Structure Survey data for 2014, and applies wage decomposition techniques to the wage distribution. The results show that female ICT professionals face unfavorable working conditions, especially in highly qualified jobs and in ICT-intensive industries.