Extracting Nonlinear Signals from Several Economic Indicators

We develop a twofold analysis of how the information provided by several economic indicators can be used in Markov switching dynamic factor models to identify the business cycle turning points. First, we compare the performance of a fully nonlinear multivariate specification (one‐step approach) with the ‘shortcut’ of using a linear factor model to obtain a coincident indicator, which is then used to compute the Markov switching probabilities (two‐step approach). Second, we examine the role of increasing the number of indicators. Our results suggest that one step is generally preferred to two steps, especially in the vicinity of turning points, although its gains diminish as the quality of the indicators increases. Additionally, we also obtain decreasing returns of adding more indicators with similar signal‐to‐noise ratios. Using the four constituent series of the Stock–Watson coincident index, we illustrate these results for US data. Copyright © 2014 John Wiley & Sons, Ltd.     

Are financial spreads useful indicators of future inflation and output growth in EU countries?

This paper seeks to address the policy issue of the usefulness of financial spreads as indicators of future inflation and output growth in the countries of the European Union, placing a particular focus on out-of-sample forecasting performance. Such analysis is of considerable relevance to monetary authorities, given the breakdown of the money/income relation in a number of countries and following increased emphasis of domestic monetary policy on control of inflation following the broadening of the ERM bands. The results confirm that for some countries, financial spread variables do contain some information about future output growth and inflation, with the yield curve and the reverse yield gap performing best. However, the relatively poor out-of-sample forecasting performance and/or parameter instability suggests that the need for caution in using spread variables for forecasting in EU countries. Only a small number of spreads contain information, and improve forecasting in a manner which is stable over time. © 1997 John Wiley & Sons, Ltd.     

Markov-switching dynamic factor models in real time

We extend the Markov-switching dynamic factor model to account for some of the specificities of the day-to-day monitoring of economic developments from macroeconomic indicators, such as mixed sampling frequencies and ragged-edge data. First, we evaluate the theoretical gains of using data that are available promptly for computing probabilities of recession in real time. Second, we show how to estimate the model that deals with unbalanced panels of data and mixed frequencies, and examine the benefits of this extension through several Monte Carlo simulations. Finally, we assess its empirical reliability for the computation of real-time inferences of the US business cycle, and compare it with the alternative method of forecasting the probabilities of recession from balanced panels.     

Export channel dynamics: an empirical investigation

We investigate the dynamics of export channel arrangements by modelling foreign operation method decisions as the interplay between factors that motivate switches and factors that deter them. Our model extends previous analyses by looking simultaneously at (1) no change of channel arrangement, (2) replacements of foreign intermediaries (within‐mode shifts), and (3) integration of the sales function abroad (between‐mode shifts). We use a multinomial logit model on longitudinal data from a sample of Danish exporters that had entered foreign markets through intermediaries. The results suggest that the decision to carry out within‐mode shifts (i.e. to replace an existing intermediary) is driven by a different set of factors than the decision to switch to another foreign operation mode (i.e. to in‐house operations). Copyright © 2005 John Wiley & Sons, Ltd.     

Corporate response to an ethical incident: the case of an energy company in New Zealand

The ethical behaviour and social responsibility of private companies, and in particular large corporations, is an important area of enquiry in contemporary social, economic and political thinking. In the past, a company's behaviour would be considered responsible as long as it stayed within the law of the society in which it operated or existed. Although this may be necessary, it is no longer sufficient. In this paper, we examine an energy company's response to an ethical incident in New Zealand which prompted different responses across the country about the role of business in society. Thus, we argue that when a corporation is accused of unethical behaviour, executives of the company are usually compelled to offer responses to defend their actions and corporate image. Further, we use communicative response model, social issue life cycle theory, and organisational learning, to analyse the incident and how the company responded. Using social issues life cycle theory and organisational learning theory, we demonstrate that sustained pressure can potentially trigger a change of strategy that may serve to improve the ethical posture of a corporation and thereby improve the corporate image long term. We conclude that, although corporations may understand the significance of social issues to the performance and success of their business, this same understanding does not always translate into meaningful social action.     

Modelling the Extensive Margin of World Trade: New Evidence on GATT and WTO Membership

Recent literature has argued that, contrary to the results of a seminal paper by Rose (2004), General Agreement on Tariffs and Trade (GATT)/World Trade Organization (WTO) membership does promote bilateral trade, at least for developed economies and if membership includes non‐formal compliance. We review the literature to identify open issues. We then develop a simple extension of the gravity model that gives rise to an extensive country margin of trade separating positive trade from zero trade country pairs. The model is used to identify WTO membership effects at both the intensive and the extensive margins. Empirical estimation of this model, based on Poisson pseudo‐maximum likelihood methods with exporter and importer fixed effects, allows us to readdress the empirical issue of whether GATT/WTO membership does or does not promote trade. We find that GATT membership was successful on the extensive margin of world trade but not on the intensive margin. For the recent WTO episode (1995–2008), we find consistent and robust evidence for a substantial trade‐creating role of membership which is driven primarily by the intensive margin. WTO membership results in higher bilateral trade of about 40 per cent.     

A useful tool for forecasting the Euro-area business cycle phases

Based on a novel extension of existing multivariate Markov-switching models, we provide the reader with a useful tool for analyzing current business conditions and making predictions about the future state of the Euro-area economy in real time. Apart from the Industrial Production Index, we find that the European Commission Industrial Confidence Indicator, which is issued with no delay, is very useful for constructing the real-time predictions.     

Antecedents of Purchase Intention in the Online Context

The understanding of the determinant factors of customer purchase intention is necessary, and it is equally important to study the online purchase context, since this context is disseminated among customers. A theoretical model has been elaborated on and tested, considering the constructs of information quality, distrust, and perceived risk as antecedents of purchase intention, and aiming to analyze the relationship among these constructs in the online purchase context. A quantitative research study has been performed by means of the application of a survey. Multivariate statistics techniques have been applied for data analyses, including structural equation modeling. This study contributes to the evolution of the empirically tested concepts by providing a greater individual understanding of each construct presented in the theoretical model, as well as the relationship among them as determinants of purchase intention; the indication is that meaningful relationships were found which may impact greater profitability and, consequently, greater competition for online retailers.     

Linking Exploration with Exploitation through Relationship Memory*

Companies that are able to help clients make better decisions and enhance their business capabilities to flourish. However, there is often poor rapport between operating personnel who are in touch with end customers and executive personnel who make decisions. Through exploration and exploitation processes, new ideas and actions flow from the individual (i.e., operating personnel) to the organization (i.e., the rest of individuals and groups that form part of the organization). This paper examines the relative importance and significance of “the relationship memory” as a bridge between “exploration” and “exploitation” processes and its effects on the creation of “customer capital” through an empirical investigation of 139 small to medium‐sized enterprises in the Spanish optometry sector using structural equation modeling validated by factor analysis.