Visual displays: analytical study and applications to graphs and real data

Principal axis methods such as principal component analysis (PCA) and correspondence analysis (CA) are useful for identifying structures in data through interesting planar graphic displays. However, some kinds of data sets can be dealt alternatively with PCA or CA. This paper focuses on methods, such as PCA and CA, and on visual displays. Our aim is to illustrate the implications for a potential user of selecting either method, and its advantages and disadvantages, from an applied point of view. This is a matter covered broadly in textbooks and elsewhere considering theoretical arguments. Our purpose is to contribute to the comparison between these methods, over the same data set, in order to illustrate them for the practitioner. In the first part of this paper we present a novel analytical study of a binary matrix associated with a non-oriented axis-symmetric graph and show that CA outperforms standardized PCA for the reconstitution and visualization of such kind of graphs. In the second part we present a case using real data dealing with the distribution of employees in different economic sectors for the countries of the European Union, analyzed by means of standardized PCA and two-way CA, in order to see the differences between the two methods in practice.     

Price Discrimination with Private and Imperfect Information

In this paper, I investigate the competitive and welfare effects of the improvements in information accuracy in markets where firms can price discriminate after observing a private and noisy signal about a consumer's brand preference. I show that when firms believe that consumers have a brand preference for them, then they charge more to these consumers, and this price has an inverse U‐shaped relationship with the signal's accuracy. In contrast, the price charged after a disloyal signal has been observed falls as the signal's accuracy rises. While industry profit and overall welfare fall monotonically when price discrimination is based on increasingly more accurate information, the reverse happens to consumer surplus.     

Profiling the segments of senior tourists throughout motivation and travel characteristics

Interest in tourism market segmentation of seniors has been increasing in recent years as the tourism industry has begun to be aware of their importance for the sector. This is a very heterogeneous group, with greater purchasing power and lifestyle-oriented entertainment and enjoyment of leisure time by performing travel than previous generations. This study strives to contribute towards the hitherto scarce research on segmentation in senior tourism. Specifically, this work aims to determine the existence of various profiles of senior tourism by means of using socio-demographic variables, motivation and characteristics of travel of seniors. For this, two complementary analysis techniques, the nonlinear canonical correlation (OVERALS) and a two-stage cluster analysis, were used. Five market segments were identified according to the behavioural variables analysed that allow marketers to target this group in the most convenient manner and to exploit new market opportunities.     

The tortoise and the hare: the impact of employment instability on firm performance

The main objective of this study is to assess the influence of employment instability on firm performance in a sample of publicly traded firms. Competing theoretical arguments are considered with regard to likely outcomes associated with employment instability. A large sample of cross‐sectional time‐series data is then analysed using generalised estimating equations (GEE) regression techniques. Results indicate that employment instability is negatively associated with firm performance, although the relationship is also demonstrated to be quadratic (an inverse U‐shaped relationship). This suggests that the main relationship varies depending upon the level of employment instability. Industry characteristics are also examined as moderators of this main effect. The results suggest a disordinal interaction effect for industry differentiation, where employment instability is negatively associated with firm performance for firms in highly differentiated industries and positively associated in less differentiated industries.     

Multinational Firms’ Motivations and Foreign Direct Investment Decisions: An Analysis of the Software and IT and Financial Services Sectors in the Irish Context

This article focuses on the way greenfield foreign direct investment (FDI) in different sectors is influenced by locational characteristics and explores the role of policy in attracting and retaining foreign investment. We contribute to the literature by empirically investigating the investment motivations of multinational companies in the software and information technology (IT) and financial services sectors in Ireland and those locational factors that contribute to the retention of FDI. The methodology used in this research is of a qualitative nature, and an exploratory deductive approach is adopted in order to gain an understanding of firms’ internationalization decisions and motivations. The data demonstrate that companies in the two sectors follow different investment motivations. Firms in the software and IT sector entered Ireland primarily because of the availability of a high‐quality workforce, whereas firms in the financial services sector entered Ireland following the deregulation of markets and the subsequent ease of doing business. The article builds on these findings to develop policy recommendations. © 2017 Wiley Periodicals, Inc.     

REGULATORY DEALING: TECHNOLOGY ADOPTION VERSUS ENFORCEMENT STRINGENCY OF EMISSION TAXES

We analyze the role of targeted enforcement of emissions taxes when the regulator wants to minimize aggregate emissions via the adoption of new more environmentally friendly technology. The regulator wants to speed up the path of technology adoption generated by a policy of uniform enforcement (that monitors adopters and nonadopters with the same probability) by engaging in a regulatory deal where a reduced monitoring probability is granted in “exchange” for adoption of the new technology. We set up a theoretical model, characterize the circumstances in which such dealing minimizes aggregate emissions, and test our hypothesis using economic laboratory experiments. Our analytical and experimental results suggest that even though such a deal might imply an increased level of violation by adopters, such tolerance is rather an integral part of an overall enforcement strategy that minimizes aggregate emissions when the rate of adoption is endogenous. (JEL L51, Q53, Q55, Q58)     

ASSESSING THE EFFECT OF PUBLIC SUBSIDIES ON FIRM R&D INVESTMENT: A SURVEY

This survey examines the empirical literature on the relationship between public R&D subsidies and private R&D investment over the past five decades. The survey reveals a considerable heterogeneity of empirical results that cannot be explained fully by methodological issues. We aim to provide further explanations of the possible causes of that heterogeneity. In particular, we emphasise a set of issues that, in our view, are critical to understanding the potential effect of public R&D subsidies on private R&D spending. Special attention is paid to the dynamic aspects and composition of firm R&D, the constraints faced by the firm (such as financial constraints), and the amount and source of public subsidies. None of these issues have been investigated in depth. We formulate a set of research assumptions to guide future empirical research in this field.     

Robust influence diagnostics for generalized linear models with continuous responses

This article introduces two parametric robust diagnostic methods for detecting influential observations in the setting of generalized linear models with continuous responses. The legitimacy of the two proposed methods requires no knowledge of the true underlying distributions so long as their second moments exist. The performance of the two proposed influence diagnostic tools is investigated through limited simulation studies and the analyses of an illustration.