Speculative hyperinflations and currency substitution

We propose a rational expectations framework for understanding speculative hyperinflations that end in response to ‘orthodox’ stabilization programs. Motivated by a strong degree of hysteresis in the stock of real balances after the end of hyperinflations, we provide a cash-and-credit model in which the money demand exhibits persistence because individuals can establish long-lasting credit relationships. We use the model to show that if hysteresis in real balances is possible then a fiscal–monetary reform that successfully stops a speculative hyperinflation may fail to prevent it. We argue that speculative hyperinflationary equilibria are consistent with some key stylized facts observed in extreme hyperinflations.     

Analytical derivation and behavioral interpretation of a model combining trip generation and distribution

The disjointedness of the planning sequence of trip generation and trip distribution is the main subject of this paper. We approach this disjointedness problem by analyzing the central properties of the independently discovered balancing methods of trip-distribution models in relation to two critical issues. First, in the current planning sequence, it is usual to start by forecasting how many trips will begin (production) and end (attraction) in each zone. This forecasting is done by estimating the production of trips independently from the attraction of trips and vice versa, and then forcing some mechanical balance of total trips being generated in the urban system. Second, in the same planning sequence, the output of this trip-generation process is the input to the next one (trip-distribution process): forecasting the matrix that describes the number of trips between each pair of zones. This forecasting is done in general by updating an equivalent obsolete matrix that was obtained from an origin-and-destination survey. The updating is generally accomplished by adjusting the outdated matrix with the so-called balancing factors. It is the purpose of this paper to support the balancing-factors approach in forecasting trip-distribution matrices with a methodological interpretation and to explain behaviorally the balancing factors; and in the process, to show the spatial interaction between trip production and attraction and the emerging need for simultaneous specification and estimation of the whole trip-generation process.     

Alienation in corporate America: Fact or fable?

Using NORC annual survey data, the authors selected 21 questions describing respondent attitudes toward job, life in general, and financial status. Respondents were catigorized as management, white collar, blue collar, and those not affiliated with business organizations. Attitudes were compared across the four occupational groups. Little dissatisfaction was found in any but the blue collar group. Management as a group, and men as well as women managers showed high levels of satisfaction, with few significant differences found in responses by men and women. This study does not support the earlier finding of widespread alienation in business firms.Charles B. Sannders is Professor of Business Administration at the University of Connecticut. He has written numerous articles which have been published in various management journals.Hugh M. O'Neill and Oscar W. Jensen are Assistant Professors of Business Administration at the University of Connecticut and the Fairfield University, respectively. Both have written several articles, published in management journals.     

Innovation Economy,Productive Public Expenditure and Economic Growth

Multidisciplinary innovation is the main engine of growth for an increasing number of economies. Innovation requires the participation of and interaction between all economic agents. It also requires public spending on education, research and infrastructures. Our main goal is to emphasize the government's role in a growing innovation economy. Developing a non‐scale, idea‐based, one‐sector growth model with complementarities and productive public expenditure, we analyse theoretically the growth effects of an increase in productive public expenditure, which we find positive in the short, medium and long run.     

The impact of health sector on R&D,economic growth and wages

We extend the existing R&D growth literature by focusing on the short-, medium-, long-run effects of the health sector on R&D intensity, economic growth and wages, and by considering 21 OECD countries between 1991 and 2008. We show that: (i) there is a unique and stable steady state; (ii) an increase in health-labour share in skilled population has no effect on growth, but affects negatively (positively) the R&D intensity (the skill premium); (iii) Anglo–Saxons countries have the lowest health-labour share in skilled-labour population, and Nordic countries have the lowest skill premium and the highest consumption/production of healthcare per capita.     

Decentralized trade, random utility and the evolution of social welfare

We study decentralized trade processes in general exchange economies and house allocation problems with and without money. The processes are affected by persistent random shocks stemming from agents’ maximization of random utility. By imposing structure on the utility noise term—logit distribution—one is able to calculate exactly the stationary distribution of the perturbed Markov process for any level of noise. We show that the stationary distribution places the largest probability on the maximizers of weighted sums of the agents’ (intrinsic) utilities, and this probability tends to 1 as noise vanishes.     

Product differentiation and dynamic price behavior in fish markets

The objective of this paper is to estimate the dynamics of aquaculture and fish prices as a response to price shocks. The vector autoregression approach will be used to explain the dynamics of the sea bream market in both cultured and wild fishing. The main result is that changes in public regulation or in production conditions could stimulate production responses which may take time to settle. Usually, the change is a matter of adjusting between equilibria over a period of time, with the pattern and speed of the adjustment, depending on the nature and degree of disequilibrium in the fishing system. Comments from reviewers have been incorporated into the paper and are gratefully acknowledged. Financial support was provided by Direcció General de Recerca, Departament d'Universitats, Recerca i Societat de la Informació project N^o SGR2001-160.     

Scale-independent North-South trade effects on the technological-knowledge bias and on wage inequality

This paper develops a general equilibrium endogenous growth model that highlights the scale-independent mechanisms through which trade-induced North-South technological-knowledge diffusion affects the technological-knowledge bias and, thus, the paths of intra-country wage inequality. In contrast with the market-size effect, stressed in the previous literature on skill-biased technological change, the operation of the emphasized price channel following openness predicts, in line with the recent trends in developed and developing countries, an increasing skilled technological-knowledge bias, which, in turn, rises wage inequality in favor of skilled labor.     

The importance of seasonal variability and tactical responses to risk on estimating the economic benefits of integrated weed management

Seasonal variability is an important source of risk faced by farmers and, regardless of an individual's attitude to risk, there are options to tactically adjust production strategies as the outcomes of risk become known. The objective of this article is to measure the economic benefits of alternative approaches to managing weeds, one of the most serious production problems in Australian cropping systems. A bioeconomic model that combines weed biology, crop growth and economics is developed to value the effects of seasonal variability and the role of tactical responses and sequential decision making in determining an optimal integrated weed management strategy. This shows that there are substantial differences in the measured long‐term benefits from deterministic and stochastic simulations. It is concluded that, for research evaluation of technologies that involve complex biological and dynamic systems, ignoring the impacts of seasonal variability, responses to risk and sequential decision making can lead to an incorrect estimate of the economic benefits of a technology. In this case study of optimal weed management strategies in Australia, the size of the error is high.