Microeconomic adjustments in Argentina during 1976–1981: The importance of changing levels of financial subsidies

This paper uses the financial statements of Argentine industrial firms to study the micro level impact of recent liberalization and reform attempts. The main lesson is that extremely large subsidies were provided to the industrial sector by way of negative effective financial costs. These negative costs appeared first in the late 1970s because of real currency appreciation and unconstrained access to foreign credit, then again in 1981 because of an exchange insurance program. We also find that the Argentine Government's announced intention to promote exporting activities did not translate into relatively favorable product market conditions for exporting firms. To the contrary, the real currency appreciation squeezed exporters' profits while redundant tariff protection insulated import competing firms from world competition, at least until 1980.     

Cost-effectiveness analysis in the Spanish setting of the PEAK trial of panitumumab plus mFOLFOX6 compared with bevacizumab plus mFOLFOX6 for first-line treatment of patients with wild-type RAS metastatic colorectal cancer

Objective: To assess the cost-effectiveness of panitumumab in combination with mFOLFOX6 (oxaliplatin, 5-fluorouracil, and leucovorin) vs bevacizumab in combination with mFOLFOX6 as first-line treatment of patients with wild-type RAS metastatic colorectal cancer (mCRC) in Spain.

Methods: A semi-Markov model was developed including the following health states: Progression free; Progressive disease: Treat with best supportive care; Progressive disease: Treat with subsequent active therapy; Attempted resection of metastases; Disease free after metastases resection; Progressive disease: after resection and relapse; and Death. Parametric survival analyses of patient-level progression free survival and overall survival data from the PEAK Phase II clinical trial were used to estimate health state transitions. Additional data from the PEAK trial were considered for the dose and duration of therapy, the use of subsequent therapy, the occurrence of adverse events, and the incidence and probability of time to metastasis resection. Utility weightings were calculated from patient-level data from panitumumab trials evaluating first-, second-, and third-line treatments. The study was performed from the Spanish National Health System (NHS) perspective including only direct costs. A life-time horizon was applied. Probabilistic sensitivity analyses and scenario sensitivity analyses were performed to assess the robustness of the model.

Results: Based on the PEAK trial, which demonstrated greater efficacy of panitumumab vs bevacizumab, both in combination with mFOLFOX6 first-line in wild-type RAS mCRC patients, the estimated incremental cost per life-year gained was €16,567 and the estimated incremental cost per quality-adjusted life year gained was €22,794. The sensitivity analyses showed the model was robust to alternative parameters and assumptions.

Limitations: The analysis was based on a simulation model and, therefore, the results should be interpreted cautiously.

Conclusions: Based on the PEAK Phase II clinical trial and taking into account Spanish costs, the results of the analysis showed that first-line treatment of mCRC with panitumumab?+?mFOLFOX6 could be considered a cost-effective option compared with bevacizumab?+?mFOLFOX6 for the Spanish NHS.     

Jumps in cross‐sectional rank and expected returns: a mixture model

We propose a new nonlinear time series model of expected returns based on the dynamics of the cross‐sectional rank of realized returns. We model the joint dynamics of a sharp jump in the cross‐sectional rank and the asset return by analyzing (1) the marginal probability distribution of a jump in the cross‐sectional rank within the context of a duration model, and (2) the probability distribution of the asset return conditional on a jump, for which we specify different dynamics depending upon whether or not a jump has taken place. As a result, the expected returns are generated by a mixture of normal distributions weighted by the probability of jumping. The model is estimated for the weekly returns of the constituents of the SP500 index from 1990 to 2000, and its performance is assessed in an out‐of‐sample exercise from 2001 to 2005. Based on the one‐step‐ahead forecast of the mixture model we propose a trading rule, which is evaluated according to several forecast evaluation criteria and compared to 18 alternative trading rules. We find that the proposed trading strategy is the dominant rule by providing superior risk‐adjusted mean trading returns and accurate value‐at‐risk forecasts. Copyright © 2008 John Wiley & Sons, Ltd.     

Measuring the efficiency of Mexican airports

This paper examines, by means of data envelopment analysis, the operational performance of 37 major airports in Mexico. Three analyses are performed considering returns to scale and efficiency scores: constant return to scale composed by technical and scale efficiency, variable return to scale based on pure technical efficiency, and a ratio of these two to measure scale efficiency. Four Mexican airports achieve overall efficiency. Some hypotheses are tested to validate managerial recommendations and derive policy implications.     

Innovación tecnológica como mecanismo para impulsar el crecimiento económico Evidencia regional para México

The aim of this paper is to analyze the role of technological innovation in the dynamics of regional economic growth in Mexico. For this purpose, a model which involves a function of innovation and a production function to set the level of interaction between the variables of innovation and economic growth is used. For the econometric analysis statistical information by state is used, for the 1994-2008 period. A model is estimated with panel data, with results that show a positive and differentiated effect between variables that incorporate some degree of technological innovation such as patents, R & D expense, among others, as well as Gross Domestic Product (GDP) growth.     

Regulatory incentives to water losses reduction: the case of England and Wales

In recent years, England and Wales have suffered droughts. This unusual situation defies the common belief that the British climate provides abundant water resources and has prompted the regulatory authorities to impose bans on superfluous uses of water. Furthermore, a large percentage of households in England consume unmetered water which is detrimental to water saving efforts. Given this context, we estimate the shadow price of water using a panel data from reports published by the Office of Water Services (Ofwat) for the period 1996 to 2010 (three regulatory periods). These shadow prices are derived from a parametric multi-output, multi-input, input distance function characterized by a translog technology. Following O'Donnell and Coelli (2005), we use a Bayesian econometric framework in order to impose regularity—monotonicity and curvature—conditions on a high-flexible technology. Consequently, our results can be interpreted at the firm level without requiring the need to base analysis on the averages. Our estimations offer guidance for regulation purposes and provide an assessment of how the water supply companies deal with water losses under each regulatory period. The relevance of the study is quite general as water scarcity is a problem that will become more important with population growth and the impact of climate change.     

Extreme returns and intensity of trading

Asymmetric information models of market microstructure claim that variables such as trading intensity are proxies for latent information on the value of financial assets. We consider the interval‐valued time series (ITS) of low/high returns and explore the relationship between these extreme returns and the intensity of trading. We assume that the returns (or prices) are generated by a latent process with some unknown conditional density. At each period of time, from this density, we have some random draws (trades) and the lowest and highest returns are the realized extreme observations of the latent process over the sample of draws. In this context, we propose a semiparametric model of extreme returns that exploits the results provided by extreme value theory. If properly centered and standardized extremes have well‐defined limiting distributions, the conditional mean of extreme returns is a nonlinear function of the conditional moments of the latent process and of the conditional intensity of the process that governs the number of draws. We implement a two‐step estimation procedure. First, we estimate parametrically the regressors that will enter into the nonlinear function, and in a second step we estimate nonparametrically the conditional mean of extreme returns as a function of the generated regressors. Unlike current models for ITS, the proposed semiparametric model is robust to misspecification of the conditional density of the latent process. We fit several nonlinear and linear models to the 5‐minute and 1‐minute low/high returns to seven major banks and technology stocks, and find that the nonlinear specification is superior to the current linear models and that the conditional volatility of the latent process and the conditional intensity of the trading process are major drivers of the dynamics of extreme returns.     

Intergenerational justice when future worlds are uncertain

Let there be a positive (exogenous) probability that, at each date, the human species will disappear. We postulate an Ethical Observer (EO) who maximizes intertemporal welfare under this uncertainty, with expected-utility preferences. Various social welfare criteria entail alternative von Neumann Morgenstern utility functions for the EO: utilitarian, Rawlsian, and an extension of the latter that corrects for the size of population. Our analysis covers, first, a cake-eating economy (without production), where the utilitarian and Rawlsian recommend the same allocation. Second, a productive economy with education and capital, where it turns out that the recommendations of the two EOs are in general different. But when the utilitarian program diverges, then we prove it is optimal for the extended Rawlsian to ignore the uncertainty concerning the possible disappearance of the human species in the future. We conclude by discussing the implications for intergenerational welfare maximization in the presence of global warming.     

Abstention and political competition

The classical literature on spatial majority voting postulates that all citizens vote. The Median Voter Theorem (MVT) then obtains when parties have perfect information on voter behavior and are either office-seekers (“Downsian”) or ideological. This paper introduces abstention, a simple yet realistic modification. We show that the main features of the MVT survive to a large extent but subject to some qualifications. First, the winning policy does not bear any necessary relation to the median voter. Second, there exist examples in which the candidates choose different positions at equilibrium. Third, equilibrium may fail to exist or be unique. Finally, the equilibria of the model with office-motivated parties may differ from the ones where parties are ideological. Received: 18 September 1999 / Accepted: 31 January 2000     

The role of research in the hospitality industry: A content analysis of the IJHM between 2000 and 2005

This article analyzes academic research from the International Journal of Hospitality Management (IJHM), as it applies to the dimensions of the management process related to the Research Methodologies proposed by Ritchie [1987. Roles of Research in Tourism Management. In: Ritchie, J.R.B, Goeldner, C. (Eds.), Travel, Tourism, and Hospitality Research. Wiley, New York, pp. 13–22]. This analysis provides insight on the evolution of research published in the IJHM from 2000 to 2005 and compares the results with previous studies. The IJHM has evolved in to an empirical journal with highly sophisticated methodologies and procedures. Therefore, the intention of this article is to provide a vision of the current research efforts in hospitality while providing a better contextual understanding of the directions and trends in qualitative and quantitative research methodologies.