The role of human capital in identifying the drivers of product and process innovation: empirical investigation from Italy

Quality & Quantity - Economists recognize that the local availability of higher human capital represents significant knowledge spillovers, especially for innovation process. This research...     

The Effect of Media Coverage on the Pricing of Seasoned Equity Offerings

This paper examines the role of media coverage and investor attention on the outcomes of seasoned equity offerings (SEOs). I use an archive of Thomson Reuters news articles to proxy for firm visibility and investor attention. I find that the volumes of news articles prior to the offerings are positively associated with the offer price discounts of SEOs. Furthermore, the volumes of news articles are negatively associated with the cumulative abnormal returns three days around the SEOs. I conclude that the costs of equity increase with media coverage prior to SEOs. Overall, the evidence is consistent with the hypothesis that media coverage affects investors' information processing in SEOs. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

Does data matter? Statewide longitudinal data systems and student performance in the U.S.

Although many industries have benefited from advances in data-driven technology, education is making small steps in capitalizing on the huge potential of data systems. Since 2005, the U.S. Federal Government has been making large grants to help states build statewide longitudinal data systems (SLDS) with the goal of improving programme and teacher evaluation and engage in data-driven decision-making. We analyse whether the introduction of SLDSs improved student performance, measured using test scores for math and reading tests for 4th and 8th graders, as well as high school graduation rates. We find no effects of SLDSs on student performance up to 10 years from implementation. However, we find suggestive evidence that these systems may have long-run effects, emphasizing the long-run nature of educational data collection and policy analysis.     

Deferred taxation under default risk

In this article, we have used a continuous EBIT-based model to study deferred tax liabilities under default risk. Quite surprisingly, default risk has been disregarded in research on deferred taxation. In order to underline its importance, we first calculated the probability of default, over a given time period, together with the contingent value of tax deferral. We then applied our theoretical model to a sample of 27,749 OECD companies. We showed that, when accounting for both firms with a negative EBIT and firms with a probability of default higher than 50% (over a 10-year period), a relevant percentage of firms were close enough to default. Hence, the expected present value of deferred taxes is much lower than that obtained in a deterministic context. From the Government’s point of view, deferred tax liabilities are a risk-free loan. Since only a portion are subsequently repaid, the Government should account for future losses due to companies’ default. So far, these estimates have been missing, although techniques do exist and are quite practical.     

Back to the future. Is industry 4.0 a new tecno-organizational paradigm? Implications for Latin American countries

ABSTRACT

The objective of this article is to establish a dialogue between the recent ‘Industry 4.0’ (I4.0) literature and evolutionary neo-Schumpeterean studies about techno-organizational paradigms. In that direction, we wonder whether I4.0 constitutes a new paradigm, as it is assumed by the first group of literature, or it represents – until the moment – an intensification of key features of the information and communication technology (ICT) paradigm, following the second group of studies. Some questions are raised about the implications of I4.0 for developing countries (DEC), afterwards. Specifically, we reflect on the possibilities of these countries to identify and take advantage of new windows of opportunity, opened by the development and diffusion of these technologies. In this regard, the review of recent Latin American experience raises strong concerns regarding I4.0 as a new source of intra- and international heterogeneity, linked to the severe difficulties these countries have in appropriating these technologies in the form of productivity gains and quasi-rents. It seems that this is partially derived from weak technological, organizational, and connectivity capabilities paths of accumulation between institutions and actors.     

Location choices under strategic interactions

We explore a fundamental aspect of firms' location choices largely overlooked in the literature: strategic interaction. We formalize the notion that strategic interaction renders collocation less appealing by fostering competition, which erodes firms' profits. Strategic interaction also impacts location choices across time. Specifically, because firms learn by doing in markets, location choices are shaped by two novel effects: entrenchment benefits from entering early in a market and improving capabilities relative to rivals, and opportunity costs from postponing entry to other markets where rivals enter and learn. When learning is local, firms collocate more: rivals are preempted from improving relative capabilities in higher‐value markets. However, when learning is global, firms collocate less: they can transfer capabilities from lower‐value to higher‐value markets, blocking rivals from achieving entrenchment benefits. Copyright © 2013 John Wiley & Sons, Ltd.     

Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis

This paper applies data envelopment analysis (DEA) to assess technical efficiency in a big public university. Particular attention has been paid to two main activities, teaching and research, and on two large groups, the Science and Technology (ST) sector and the Humanity and Social Science (HSS) sector. The findings, based to data from 2005 to 2009, suggest that the ST sector is more efficient in terms of quality of research than the HSS sector, that instead achieves higher efficiency in teaching activities. The efficiency estimates strongly depend on the output specification, given that the use of several quality proxies, such as three research and two student questionnaire-based teaching alternative indices, reduce performance and its differentials for both research and teaching activities. A bootstrap technique is also used to provide confidence intervals for efficiency scores and to obtain bias-corrected estimates. The Malmquist index is calculated to measure changes in productivity.     

Business cycles and wage rigidity

In this paper, we analyze the impact of downward wage rigidity on the labor market dynamics. We shows that imposing downward wage rigidity in a matching model with cyclical fluctuations in productivity, endogenous match-destruction, and on-the-job search, quits are procyclical and layoffs countercyclical. Using the European Community Household Panel (ECHP), we provide evidence that downward wage rigidity is empirically relevant in ten European countries. Finally, we show that layoffs are countercyclical and quits are procyclical, as predicted by the model.