Quantitative narrative analysis software options compared: PC-ACE and CAQDAS (ATLAS.ti, MAXqda, and NVivo)

This paper shows how to carry out quantitative narrative analysis (QNA) with different text analysis software (PC-ACE, Program for Computer-Assisted Coding of Events, and various CAQDAS programs, Computer-Assisted Qualitative Data Analysis Software: ATLAS.ti, MAXQDA, and NVivo). QNA is a methodological approach to narrative texts that exploits invariant properties of narrative (namely, a “story grammar”, based on actors, actions, and their attributes) to make a statistical analysis of words possible. In comparing PC-ACE and CAQDAS, the paper leads the reader through the steps involved in setting up a grammar, in data entry, and in data query. A careful comparison of limits and possibilities of the two types of software will allow the reader interested in QNA to make an informed choice between a full implementation of QNA in a specialized but unknown software (PC-ACE) and a limited implementation in any of the widely used and popular CAQDAS programs.     

Who bribes in public contracting and why: worldwide evidence from firms

We study procurement bribery utilizing survey data from 11,000 enterprises in 125 countries. About one-third of managers report that firms like theirs bribe to secure a public contract, paying about 8 % of the contract value. Econometric estimations suggest that national governance factors, such as democratic accountability, press freedom, and rule of law, are associated with lower bribery. Larger and foreign-owned firms are less likely to bribe than smaller domestic ones. But among bribers, foreign and domestic firms pay similar amounts. Multinational firms appear sensitive to reputational risks in their home countries, but partially adapt to their host country environments.     

Driving forces of chemical risks for the European biodiversity

In the framework of the EU-funded research project ALARM (Assessing LArge-scale environmental Risks with tested Methods), an original method combining the DPSIR (driving forces–pressures–state–impacts–responses) framework and an analysis based on the distinction between the four spheres of sustainability (environmental, economic, social and political) has been developed. This paper presents the application of this method, called “the tetrahedral DPSIR” for the identification and analysis of driving forces of environmental chemicals risks for biodiversity, in Europe. The purpose of this methodology is to help reduce the pressures on biodiversity through modifying the driving forces behind them by offering scientific advice to policy makers. We frame our analysis in the context of the current policy, namely the implementation of REACH (Regulation on the Registration, Evaluation, and Authorization of CHemicals).     

Asymmetries and interdependencies in time use between Italian parents

In recent decades, changes in parents’ attitudes towards the importance of spending time with children to optimize their future behaviour and cognitive development have greatly affected patterns of time allocation among both working and nonworking parents in all developed countries. We compare the two waves of the Italian Time Use dataset (1988 and 2002) to analyse how family time allocation changed over time in a country that was undergoing a marked increase in female employment rate and a continuous decline in total fertility rate. We focus especially on how parents’ time with their children depends on their employment status and household characteristics. Using a simultaneous sequential approach, we consider links among the different time uses of individuals and correlations with spouses’ decisions. We find that wives’ time at work time strongly influences the time spent by both spouses with their children in 2002, but not in 1988. Fathers were much more involved in childcare and rearing in 2002 than in 1988. In general, as women's work time increased, substitutes for their childcare time were found within the household (fathers or other co-resident adults).     

Temporary hires and innovative investments

The flexicurity approach claims a positive effect of flexible labour on firm performance, also through an increased ability to innovate. Critics consider it a deregulation of the labour market, decreasing investment in human capital and innovation. We contribute to this broad debate providing an estimate of the relationships linking innovative investment, substitution investment, permanent hires and temporary hires. In particular, we aim at affirming or denying that innovative investments are accompanied by a specific kind of workforce, being it stable or flexible. In doing so, we contribute to bridge the gap among two quite separate strands of literature, as existing literature usually analyses capital and labour separately. Estimating a nonlinear recursive equation system we highlight a significant increase in the likelihood of hiring on a permanent base when the firm innovates; this holds till 2008. Afterward, during the crisis, innovating firms are more likely to hire using temporary contracts instead, a possible signal of a cost saving strategy adopted in a loose labour market by firms still able to innovate. Furthermore, both permanent and temporary hires never depend on increases in labour costs; however, substitution investment increases when labour cost increases, maybe in an attempt to increase labour productivity through a more efficient capital equipment.     

Estimating global bank network connectedness

We use LASSO methods to shrink, select, and estimate the high‐dimensional network linking the publicly traded subset of the world's top 150 banks, 2003–2014. We characterize static network connectedness using full‐sample estimation and dynamic network connectedness using rolling‐window estimation. Statically, we find that global bank equity connectedness has a strong geographic component, whereas country sovereign bond connectedness does not. Dynamically, we find that equity connectedness increases during crises, with clear peaks during the Great Financial Crisis and each wave of the subsequent European Debt Crisis, and with movements coming mostly from changes in cross‐country as opposed to within‐country bank linkages.     

SHIFTING BOUNDARIES IN ECONOMICS: THE INSTITUTIONAL COGNITIVE STRAND AND THE FUTURE OF INSTITUTIONAL ECONOMICS

This paper aims at contributing to the debate on the future of institutional economics and of the field as a whole by starting from the literature that discusses the relationship between Old‐Original Institutional Economics and New Institutional Economics. It suggests that the process of reunifying OIE and NIE (and evolutionary economics) prompted by part of the literature could be improved by the contribution of the Cognitive Institutional Economics. The paper follows a two‐stage pathway: first, it frames the debate on the relationships between NIE and the OIE and it concentrates on a subset of the literature that shows that NIE's recent developments complicate the distinction between NIE and OIE, and it explores the possibility that NIE and OIE may merge so that an amalgam of NIE, OIE and Evolutionary Economics becomes the next economic paradigm. Secondly, the paper argues that a step forward in the direction outlined by the literature has been made by CIE, which is a research stream that developed from cross‐fertilization among NIE, OIE and the Hayekian contributions to the analysis of institutions. In the concluding remarks, the possible emergence of a single institutional paradigm is discussed in the light of the literature about change in economics.     

A piecewise linear model of credit traps and credit cycles: a complete characterization

We reconsider a regime-switching model of credit frictions which has been proposed in a general framework by Matsuyama for the case of Cobb–Douglas production functions. This results in a piecewise linear map with two discontinuity points and all three branches having the same slope. We offer a complete characterization of the bifurcation structure in the parameter space, as well as of the attracting sets and related basins of attraction in the phase space. We also discuss parameter regions associated with overshooting, leapfrogging, poverty traps, reversal of fortune and growth miracle, as well as cycles with any kind of switching between the expansionary and contractionary phases.     

Understanding the determinants of information technology adoption: evidence from Italian manufacturing firms

Our empirical study aims at identifying the determinants of Information Technology (IT) adoption by small and medium sized Italian manufacturing firms. An ordered probit analysis is conducted on a sample of about 17?000 firms surveyed by the Italian Statistical Institute, using as a dependent variable an index of IT adoption. Our results show that firm size, geographical location, functional composition of the workforce, R&;D activity, subcontracting, exports and collaboration between firms are all highly significant determinants of IT adoption. Such results are consistent with most of the predictions advanced in the few studies existing on this topic.