Price rigidity, the mark–up, and the dynamics of the current account

The degree of competition affects the current account response to nominal shocks. The mechanism hinges on the relationship between the mark–up and the degree of real rigidity of prices. In a model with intermediate goods, the degree of real rigidity increases in the mark–up. A weaker response of prices to nominal shocks strengthens the 'expenditure switching' effect of the devaluation to the benefit of the current account. We analyse the relationship between the mark–up and the real rigidity in a simple closed economy model and show numerically how the mark–up can affect the response of the current account to monetary shocks in an open economy. JEL Classification: F32, E32
Rigidité des prix, marges bénéficiaires et la dynamique du compte courant. Ce mémoire montre que le degré de concurrence affecte la réaction du compte courant aux chocs nominaux. Le mécanisme dépend de la relation entre la marge beńéficiaire et le degré de rigidité réelle des prix. Dans un modèle qui prend en compte les biens intermédiaires, le degré de rigidité réelle des prix s'accroît avec la marge bénéficiaire. Une réponse plus faible des prix aux chocs nominaux renforce l'effet de « déplacement de la dépense >> de la dévaluation au bénéfice du compte courant. On analyse d'abord la relation entre la marge bénéficiaire et la rigidité réelle des prix dans un modèle simple d'économie fermée. On montre ensuite en chiffres comment la marge bénéficiaire peut affecter la réaction du compte courant aux chocs monétaires.     

Giffen goods and market making

Summary. This paper shows that information effects per se are not responsible for the Giffen goods anomaly affecting traders demands in multi asset noisy, rational expectations equilibrium markets. The role that information plays in traders strategies also matters. In a market with risk averse, uninformed traders, informed agents have a dual trading motive: speculation and market making. The former entails using prices to assess the effect of error terms; the latter requires employing them to disentangle noise traders demands within aggregate orders. In a correlated environment this complicates the signal extraction problem and may generate upward sloping demand curves. Assuming (i) that competitive, risk neutral market makers price the assets or that (ii) uninformed traders risk tolerance coefficient grows unboundedly, removes the market making component from informed traders demands rendering them well behaved in prices.Received: 30 April 2002, Revised: 3 December 2003, JEL Classification Numbers: G100, G120, G140.Support from the Barcelona Economics Program of CREA and the Ente per gli Studi Monetari e Finanziari Luigi Einaudi, are gratefully acknowledged. I thank Anat Admati, Jordi Caballé, Giacinta Cestone, and Xavier Vives for useful suggestions. The comments provided by the Associate Editor and an anonymous referee greatly improved the papers exposition.     

Some notes on inflation and employment: Incomes policy and the perspective of the European Monetary Union

In recent times, a new notion of incomes policy as an instrument aiming both at the control of inflation and at the defense of employment has come to supplant the original conception of incomes policy as the set of conditions which could make the growth of the economy compatible with price stability. The aim of the paper is to emphasize that the theoretical background of the former notion appears profoundly different from—and far less solid than—the one of the latter conception. The second aim is to emphasize that factual experience appears to confirm the role assigned to incomes policy in its original meaning. Wage moderation, important as it may be for the control of inflation, is not sufficient for the defense of employment. The third aim of the paper is to emphasize that the perspective of the European Monetary Union has made the defense of employment even more complex, thus calling for a careful reconsideration of a widely advertised relationship between "Maastricht" and employment. A procedural suggestion addressed to each one of the 15 members of the European Union concludes the paper. This article is published posthumously. His death is a great loss to the economic community.     

Externalities,Cross-Sectoral Spillovers and Productivity Growth

We provide an interpretation of the productivity dynamics in the manufacturing sector based on the idea of the thick market externality à la Diamond. An econometric model has been estimated which allows to disentangle the long run effects of these trading externalities from those of internal economies of scale and of aggregate industry-level economies. The results obtained—based on a cointegrated system of non-linear-error-correction equations—confirm the hypothesis that the trading externality matters. Moreover, our findings point out that the emphasis generally posited both on internal and external economies of scale is not justified.     

An integrated multi-model credit rating system for private firms

This paper presents a integrated credit risk modelling approach for private firms which fulfil 2001 Basel Accord requirements in the case of the adoption of the foundation approach. Our model comprises: (a) a bottom-up technique to initially assess the through-the-cycle one-year Probability of Default (PD) and (b) a top-down approach to refine and calibrate this historical PD in a forward-looking credit risk assessment based on next year’s economic outlook. We present findings from applying this model to a large sample of client firms of the Bank of Rome.     

Bounds for Functions of Dependent Risks

The problem of finding the best-possible lower bound on the distribution of a non-decreasing function of n dependent risks is solved when n=2 and a lower bound on the copula of the portfolio is provided. The problem gets much more complicated in arbitrary dimensions. When no information on the structure of dependence of the random vector is available, we provide a bound on the distribution function of the sum of risks which we prove to be better than the one generally used in the literature.     

Conducting Mode 2 research in HRM: A phase‐based framework

Recent studies in the field of human resource management (HRM) have highlighted that current research is mostly performed and consumed by academics, and is driven by theoretical and disciplinary concerns rather than practical ones. This debate has invoked the need to produce more Mode 2 research in the HRM field, that is, research driven by practical problems that integrate collaborative efforts by academics and practitioners. Yet, guidelines on how academics and practitioners may implement Mode 2 research remain disjointed and incomplete. Our study provides a phase‐based collaborative‐based framework for the implementation of Mode 2 research in the HRM field, in ways that both academic rigor and practical relevance are achieved. Our framework is informed by a comprehensive review of previous Mode 2 research, within and outside the HRM field. The proposed framework details four macro‐phases: the codevelopment of research questions with practitioners; the design of collaborative spaces and mechanisms; the design and management of double‐loop iterative research processes; and finally the academic and practice legitimization of Mode 2 outcomes. Our framework has the objective to support HRM researchers and practitioners, as well as relevant institutions and gatekeepers in the design, implementation, education, and assessment of Mode 2 research.     

Narrow Replication of ‘A Spatio‐Temporal Model of House Prices in the Usa’ Using R

I narrowly replicate Holly et al.'s (Journal of Econometrics 2010; 158 (1): 160–173) analysis of the housing market in the USA, using the open source R software instead of the original ad hoc GAUSS routines. Their main findings are confirmed and most results are matched exactly. Attention is given to providing a self‐contained and fully reproducible analysis, exclusively using user‐level features available in the public domain. Copyright © 2014 John Wiley & Sons, Ltd.     

Using clustering ensemble to identify banking business models

The business models of banks are often seen as the result of a variety of simultaneously determined managerial choices, such as those regarding the types of activities, funding sources, level of diversification, and size. Moreover, owing to the fuzziness of data and the possibility that some banks may combine features of different business models, the use of hard clustering methods has often led to poorly identified business models. In this paper we propose a framework to deal with these challenges based on an ensemble of three unsupervised clustering methods to identify banking business models: fuzzy c‐means (which allows us to handle fuzzy clustering), self‐organizing maps (which yield intuitive visual representations of the clusters), and partitioning around medoids (which circumvents the presence of data outliers). We set up our analysis in the context of the European banking sector, which has seen its regulators increasingly focused on examining the business models of supervised entities in the aftermath of the twin financial crises. In our empirical application, we find evidence of four distinct banking business models and further distinguish between banks with a clearly defined business model (core banks) and others (non‐core banks), as well as banks with a stable business model over time (persistent banks) and others (non‐persistent banks). Our proposed framework performs well under several robustness checks related with the sample, clustering methods, and variables used.