Context Effects on Older Consumers’ Cognitive Age: The Role of Hedonic versus Utilitarian Goals

This paper deals with older consumers’ cognitive age (i.e., the age they feel), which is self‐assessed as systematically lower than their chronological age (i.e., their actual age). Such a tendency would lead older consumers to display attitudes and purchasing behaviors, which are not typical of people of their real age. Two studies show that cognitive age is not an immutable construct but varies according to its context of reference, so that the same individual may feel different ages under different circumstances. Results demonstrate that the declared cognitive age is affected by the physical environment, the social references, and the product categories that the consumer is using when self‐assessing it. Furthermore, the tendency of older consumers to feel younger is stronger when these consumers are pursuing in these contexts hedonic rather than utilitarian goals. These findings provide novel inputs for the development of appropriate ways to measure cognitive age and to deal with it when targeting senior consumers and positioning hedonic versus utilitarian goods.     

General closed-form basket option pricing bounds

This article presents lower and upper bounds on the prices of basket options for a general class of continuous-time financial models. The techniques we propose are applicable whenever the joint characteristic function of the vector of log-returns is known. Moreover, the basket value is not required to be positive. We test our new price approximations on different multivariate models, allowing for jumps and stochastic volatility. Numerical examples are discussed and benchmarked against Monte Carlo simulations. All bounds are general and do not require any additional assumption on the characteristic function, so our methods may be employed also to non-affine models. All bounds involve the computation of one-dimensional Fourier transforms; hence, they do not suffer from the curse of dimensionality and can be applied also to high-dimensional problems where most existing methods fail. In particular, we study two kinds of price approximations: an accurate lower bound based on an approximating set and a fast bounded approximation based on the arithmetic-geometric mean inequality. We also show how to improve Monte Carlo accuracy by using one of our bounds as a control variate.     

Extension services,product quality and yields: the case of grapes in Argentina

This article studies the impact of publicly subsidized agricultural extension services on yields and product quality. We use panel data from grape producers in Mendoza, Argentina to estimate the impacts of farmer trainings. We find a negative overall impact on yields and evidence of a positive average impact on the adoption of higher‐quality grape varieties. By analyzing the dynamic pattern of the estimated effects, we find evidence of a temporary decrease in yields suggesting the existence of an adjustment process following the introduction of higher‐quality grapes. The overall negative effect on yield is driven by a sharp drop in the year of participation. This fades after year one, and two to three years after treatment we observe increases in higher‐quality grape production. Findings reinforce the importance of temporal dimension of extension services.     

Can inflation data improve the real‐time reliability of output gap estimates?

Potential output plays a central role in monetary policy and short‐term macroeconomic policy making. Yet, characterizing the output gap involves a trend‐cycle decomposition, and unobserved component estimates are typically subject to a large uncertainty at the sample end. An important consequence is that output gap estimates can be quite inaccurate in real time, as recently highlighted by Orphanides and van Norden ( 2002 ), and this causes a serious problem for policy makers. For the cases of the US, EU‐11 and two EU countries, we evaluate the benefits of using inflation data for improving the accuracy of real‐time estimates. Copyright © 2004 John Wiley & Sons, Ltd.     

Job Creation, Job Destruction, and the International Division of Labor

The authors incorporate equilibrium unemployment due to imperfect matching into a model of trade in intermediate inputs. Firms are assumed to be price‐takers and their size is given by technology. Firms enter the market as long as expected profits cover the search cost they incur initially; jobs are endogenously destroyed by random shocks that affect firms’ price–cost margins. Trade increases productivity in the final good and then demand for each intermediate input. Steady‐state unemployment is reduced after trade integration because the rate of job destruction is reduced, which in turn induces an indirect positive effect on job creation. A more volatile environment faced by firms does not necessarily increase unemployment. However, the rate of job destruction unambiguously rises, and rises more under free trade.     

Tourism innovation: when interdependencies matter

This research note highlights the relevance of tourism’s natural system of interdependencies in the context of innovation creation. The lack of studies on tourism inter and intra-sectoral interdependencies and on their role in innovation creation is emphasized. Then recent developments in the study of interdependencies and their role in generating creativity and innovation are presented. The discussion shows avenues for future research within the tourism realm.     

The Transfer Problem in the Euro Area

Building on the celebrated Keynes–Ohlin debate and on Lane and Milesi-Ferretti (Rev Econ Stat 86:841–857, 2004), the paper investigates the transfer problem for the Euro area vis-à-vis the rest of the world. The analysis is developed in a theoretically and statistically consistent way and is intended as a contribution to the empirical literature on EMU. The main result of the paper is that the accumulation of net foreign asset in the Euro area is consistent with real exchange appreciation, largely through the relative price of nontradables rather than through the terms of trade.

Land inequality,government ideology and agricultural protection

This paper presents an empirical investigation of how agricultural land ownership inequality and government ideology (right-wing vs. left-wing) affect agricultural protection. Theoretically, the links are quite ambiguous, switching from positive to negative depending on the structure of the underlying political economic model – i.e. pressure groups vs. median voter approach. The data show, overall, that protection is decreasing in land inequality and with left-wing government orientation, but not in a linear fashion: left-wing governments tend to support agriculture in more unequal societies. There is some evidence that the relationship holds better in democracies than in dictatorships.     

Private benefits, block transaction premiums and ownership structure

A simple model shows that both price premiums and standardized block premiums (SBPs) are biased measures of private benefits because they do not account for the transfer of control effectively taking place with the block. This depends not only on the fractional size of the block, but on the whole distribution of shareholdings. We propose an alternative methodology to measure private benefits which makes it possible to weight the size of traded blocks on the basis of their strategic power. We apply our method to a sample of Italian block transactions and show that the traditional method underestimates control rents. The sensitivity of private benefits to net worth, leverage, and nonvoting shares is also examined. Finally, we show how to forecast the price of out-of-sample blocks of shares on the basis of information on company capital and ownership structure.     

A semiparametric random effects approach to unobserved heterogeneity in count data models of organizational founding

The paper discusses a semiparametric random-effects approach to the problem of unobserved population heterogeneity in organizational research based on models for pooled cross-sectional time series count data. The analytical value of this approach rests in its ability to produce estimates of the structural parameters that do not depend on any specific assumption about the distribution of the heterogeneity components in the population. The practical value of the method proposed is illustrated in an empirical application to processes of organizational founding, and to the relation between density dependence and unobserved heterogeneity in spatially distributed organizational populations. The empirical evidence produced suggests that future studies of organizational founding at the population level will have to account for variation in observed as well as unmeasured (or unobservable) variables.