Rhetorical manifestation of institutional transformation

The present study proposes an analysis process to compare and contrast different approaches to content analysis. Moving from previous findings (Righettini and Sbalchiero, ICPP—international conference on public policy, 2015), related to consumer protection in the annual speeches of Italian Presidents of AGCOM, delivered between 2000 and 2015, statistical analyses of textual data are applied on the same set of texts in order to compare and contrast results and evaluate the opportunity of integrating different approaches to enrich the results. This review of results resorts to topic based methods for classification of context units (Reinert, Les Cah l’Anal Donnees 8(2):187–198, 1983), text clustering and lexical correspondence analysis (Lebart et al., Exploring textual data, 1998) in a general framework of content analysis and “lexical worlds” exploration (Reinert, Lang Soc 66:5–39, 1993), i.e., the identification of main topics and words used by AGCOM Presidents to talk about consumer protection. Results confirm the strengths and opportunities of topics detection approach and shed light on how quantitative methods might become useful to political scientists when available policy documents increase in number and size. One methodological innovation of this article is that it supplements the use of word categories in traditional content analysis with an automated topics analysis which exceeds the problems of reliability, replicability, and inferential circularity.     

Which shape fits best? Designing the organizational form of local government procurement

The way that public procurement activities are organized has an impact on the performance of public institutions. By reviewing the literature on public procurement organization dimensions this study offers a conceptual framework for public procurement organizational design, distinguishing between the macro, micro and process level dimensions. The framework is tested across the procurement departments of 15 local governments in Wales and Italy. We identify six alternative organizational configurations, differing in their level of centralization and their procurement status within the institution. Their suitability and potential for redesign depend on several internal and external contextual factors (goals, government decision, regulation, geographical environment) in line with the contingency view of organizational design.     

Effects of fiscal policy in the Northern and Southern regions of Italy

This paper contributes to a growing body of work within ‘fiscal policy studies,’ investigating the recent role of fiscal policy on the Italian economy. Using annual data collected on a regional basis, this study estimates and compares the (impact and cumulative) fiscal multipliers across the North and the South—the less developed area—of Italy. With recourse to a simultaneous equation model for the two macro-areas of Italy, it estimates the overall impact of the measures of budget consolidation policies during the period 2011–2013. Our analysis reveals that tax increases and, with a greater impact, spending cuts, hit the South harder compared to the North.     

Falling Wage Shares in Europe and the United States: How Important is Aggregation Bias?

This paper sheds light on the importance of aggregation bias in the analysis of wage shares developments over time and across countries. We focus on five European countries and the United States and show that the trend decline in the aggregate wage share observed in these countries over much of the 1980s and 1990s partly reflects changes in the sectoral composition of the economy. The application of a fixed-weight aggregation method changes the profile of the observed wage share in a significant way: in particular there is no longer sign of an overshooting of the wage share levels of the early-1970s. Error-correction wage equations based on the adjusted wage shares generally have a better regression fit and show long-run elasticities of real wages to unemployment that vary less across countries and are substantially lower than those obtained with observed shares.     

Global networks of trade and bits

Considerable efforts have been made in recent years to produce detailed topologies of the Internet, but so far these data have been overlooked by economists. In this paper, we suggest that such information could be used to characterize both the size of the digital economy and outsourcing at country level. We analyse the topological structure of the network of trade in digital services (trade in bits) and compare it with the more traditional flow of manufactured goods across countries. To perform meaningful comparisons across networks with different characteristics, we define a stochastic benchmark for the number of connections among each country-pair, based on hypergeometric distribution. Original data are filtered so that we only focus on the strongest, i.e. statistically significant, links. We find that trade in bits displays a sparser and less hierarchical network structure, which is more similar to trade in high-skill manufactured goods than total trade. Moreover, distance plays a more prominent role in shaping the network of international trade in physical goods than trade in digital services.     

Mean–variance dominant trading strategies

The paper examines the relative importance of ten anomaly-based trading strategies. We employ Mean Variance spanning methodologies in a classical unconditional setting and a novel conditional setting. Fixed-weight optimal portfolios stemming from the unconditional methodology indicate that all the strategies are needed to enhance the mean–variance tradeoff. This conclusion is completely reversed when we allow for time-varying portfolio weights as a nonlinear function of lagged economic indicators. The overall results suggest that diversified anomaly-based holdings are of limited benefit to sophisticated investors who employ dynamic trading strategies.     

Product differentiation,price discrimination and collusion

The existing literature which analyses the relationship between the product differentiation degree and the sustainability of a collusive agreement on price assumes that firms cannot price discriminate, and concludes that there is a negative relationship between the product differentiation degree and the critical discount factor. This paper, in contrast, assumes that firms are able to price discriminate. Within the Hotelling framework, three different collusive schemes are studied: perfect collusion on discriminatory prices; perfect collusion on a uniform price; collusion not to discriminate. We obtain that the critical discount factor of the first and the third collusive scheme does not depend on the product differentiation degree, while the critical discount factor of the second collusive scheme depends positively on the product differentiation degree. Moreover, we show that imperfect collusion is more difficult to sustain than perfect collusion.     

Virtual Design,Problem Framing,and Innovation: An Empirical Study in the Automotive Industry

This paper studies how problem framing by research and development groups, in particular the extent of problem decomposition, impacts knowledge replication processes conducted through the use of virtual simulation tools (VSTs). It presents the results of a comparative study of two research and development groups working on the design of hybrid propulsion systems. The research contributes to the literature on strategy and innovation in four ways. First, we identify three organizational and strategic factors affecting the problem framing decision. Second, we analyse the impact of problem framing on the use of VSTs and the related effect on knowledge replication processes. Third, we show the emergence of a new VST‐driven knowledge replication process, i.e. functional replication. Fourth, we explain how VST‐driven knowledge replication processes can attenuate the dangers related to the adoption of modular design strategies and address the replication vs. imitation dilemma.     

Modelling systemic price cojumps with Hawkes factor models

Instabilities in the price dynamics of a large number of financial assets are a clear sign of systemic events. By investigating portfolios of highly liquid stocks, we find that there are a large number of high-frequency cojumps. We show that the dynamics of these jumps is described neither by a multivariate Poisson nor by a multivariate Hawkes model. We introduce a Hawkes one-factor model which is able to capture simultaneously the time clustering of jumps and the high synchronization of jumps across assets.