Intertemporal propensity to consume

Cross-sectionally estimated Engel curves tend to exhibit shapes that imply ultimately decreasing marginal propensities to consume as income rises. This suggests at first sight a tendency to slow down in private consumption. This tendency has to be reconsidered taking into account the fact that Engel curves usually shift significantly over time. We introduce the notion of “intertemporal propensity to consume” to shed more light on the drivers and patterns of the evolution of Engel curves. Using this notion, we are able to identify and measure the direction of the expansion path of consumption as time goes by, while controlling for household characteristics and price levels. Using German household data, we show that, over time, the intertemporal propensity to consume systematically offsets the consumption paths implied by the marginal propensity to consume that is derived cross-sectionally at one point in time. We claim that this difference between marginal and intertemporal propensity to consume should be ascribed to variations in the socioeconomic structures that occur over time and that may be linked both to the supply side (innovation and technical change) and the demand side (learning dynamics of consumers). We also show that changes in relative prices play a minor role in the evolution of Engel curves.     

A Classification Scheme for Negotiation in Electronic Commerce

In the last few years we have witnessed a surge of business-to-consumer and business-to-business commerce operated on the Internet. However, most current electronic commerce systems are little more than electronic catalogues that allow a user to purchase a product under predetermined and inflexible terms and conditions. We believe that in the next few years we will see a new generation of electronic commerce systems emerge, based on automated negotiation. In this paper, we identify the main parameters on which any automated negotiation depends. To show the applicability of our classification framework, we use it to categorise a representative sample of some of the most prominent negotiation models that exist in the literature.     

Graphical causal models and VARs: an empirical assessment of the real business cycles hypothesis

This paper assesses the empirical plausibility of the real business cycle view that shocks to real variables are the dominant sources of economic fluctuations and that monetary policy shocks play an insignificant role in determining the behavior of real variables. I reconsider the vector autoregressive model of King et al. (Am Econ Rev 81:819–840, 1991), but propose an alternative identification method, based on graphical causal models. This method selects the contemporaneous causal structure using the information incorporated in the partial correlations among the residuals. The residuals orthogonalization which follows and the study of the impulse response functions confirm the results of King et al. (Am Econ Rev 81:819–840, 1991): permanent productivity shocks are not the dominant sources of aggregate fluctuations in US economy. I would like to thank Peter Spirtes, Marco Lippi, and Clark Glymour for helpful comments on early versions of the paper. I am also grateful to Valentina Corradi for providing me with an updated version of the King et al. (1991) data set. The usual disclaimer applies.     

Causal Inference by Independent Component Analysis: Theory and Applications*

Structural vector‐autoregressive models are potentially very useful tools for guiding both macro‐ and microeconomic policy. In this study, we present a recently developed method for estimating such models, which uses non‐normality to recover the causal structure underlying the observations. We show how the method can be applied to both microeconomic data (to study the processes of firm growth and firm performance) and macroeconomic data (to analyse the effects of monetary policy).     

Item response theory and the measurement of deprivation: evidence from Luxembourg data

Item response theory (IRT) has recently been proposed as a framework to measure deprivation. It allows a latent measure of deprivation to be derived from a set of dichotomous items indicating deprivation, and the determinants of deprivation to be analysed. We investigate further the use of IRT models in the field of deprivation measurement. First, the paper emphasises the importance of item selection and the Mokken Scale Procedure is applied to select the items to be included in the scale of deprivation. Second, we apply the one- and the two-parameter probit IRT models for dichotomous items to two different sets of items, in order to highlight different empirical results. Finally, we introduce a graphical tool, the Item Characteristic Curve (ICC), and analyse the determinants of deprivation in Luxembourg. The empirical illustration is based on the fourth wave of the “Liewen zu Lëtzebuerg” Luxembourg socioeconomic panel (PSELL-3).     

Interest rate risk estimation: a new duration-based approach

Duration is widely used by fixed income managers to proxy the interest rate risk of their assets and liabilities. However, it is well known that the convexity of the price-yield relationship introduces approximation errors that grow with changes in yield. In this article we suggest a new approach, ‘discrete duration’, which significantly improves upon the accuracy of traditional duration methods and achieves a level of accuracy close to the more complex ‘duration-plus-convexity’ measure. In particular, discrete duration performs particularly well for long dated and low coupon rate bonds where the estimation error is impressively close to zero.     

Information versus imitation in a real-time agent-based model of financial markets

This paper presents an agent based model of a financial market with a real-time engine, whose operation replicates the official time schedule of Borsa Italiana S.p.A. Simulated time series are compared with empirical data at different time scales (ticks, 1 s, 1 min, 5 min) in order to check the compliance of the model with some stylized facts. The modeled market structure is a dynamic multiplex with two layers: the first one is a star network, whose hub is the market maker (i.e., the owner of the venue holding the order book), where transactions are executed; the second one is designed according to different topologies, representing social interactions, where investors decide their behavior according to informative flows. The effect of imitation on market stability is discussed and some policy implications are provided.

     

Housing wealth effect in emerging economies

In this paper I estimate the impact of changes in real and financial wealth on private consumption for a panel of 17 emerging economies from Asia and Central and Eastern Europe. Households' consumption, income and the two measures of real and financial wealth – proxied by house and stock market prices – are found to be difference-stationary and co-integrated; by means of recent econometric techniques for heterogeneous panels, i.e. the pooled mean group estimator, inference is drawn about the long- and short-run relationships between the variables of interest. The main result of the analysis shows that both real and financial wealth positively affect households' consumption in the long-run, with the elasticity of housing wealth being larger than that of stock market wealth. Moreover, there is also a significant short-run adjustment from income, stock prices and house prices on consumption, i.e. consumption adjusts to its long-run relationship with lags. When the model is run for the two groups of countries separately, the long-run impact of an increase (decrease) in house prices is generally higher in Central and Eastern European economies with respect to Asian ones, which make them more vulnerable to further adverse housing market developments.     

A Multi-Criteria Group Decision Framework for Partner Grouping When Sharing Facilities

The site location is an important strategic decision for a company and usually incorporates several conflicting criteria. Therefore, multicriteria decisions methods are more and more used in this context. On the same time, another increasing trend is cooperative relationships where partners or even rivals work together to collectively enhance their performances by sharing resources. This paper presents a novel multi-phase approach to aid partners to address the following questions in the location problem context: ‘Where and with whom should the company locate its business?’ A case study is described where final year students are looking for a flat to share in London.