Remittances,monetary institutions,and autocracies

ABSTRACT

How do remittances affect the choice of exchange rate regimes? Previous research shows that remittances, by easing the ‘impossible trinity’, increase the probability of governments adopting fixed exchange rates. However, that research overlooks the conditioning effect of monetary and political institutions. We argue that remittances, by altering recipient governments’ incentives to use monetary policy counter-cyclically, make central bank independence a credible anti-inflationary tool in less credible regimes; that is, autocracies. Thus, autocracies that receive remittances do not need to rely on fixed exchange rates. In this way, remittances open policy alternatives for developing autocracies. Statistical tests on a sample of 87 developing and transitional countries between 1980 and 2010 support our argument.     

The future of deforestation in the Brazilian Amazon

Concern about the future of Amazonian forests is growing as both the extent and rate of primary forest destruction increase. We combine spatial information on various biophysical, demographic and infrastructural factors in the Brazilian Amazon with satellite data on deforestation to evaluate the relative importance of each factor to deforestation in the region. We assess the sensitivity of results to alternative sampling methodologies, and compare our results to those of previous empirical studies of Amazonian deforestation. Our findings, in concert with those of previous studies, send a clear message to planners: both paved and unpaved roads are key drivers of the deforestation process. Proximity to previous clearings, high population densities, low annual rainfall, and long dry seasons also increase the likelihood that a site will be deforested; however, roads are consistently important and are the factors most amenable to policymaking. We argue that there is ample evidence to justify a fundamental change in current Amazonian development priorities if additional large-scale losses of forests and environmental services are to be avoided.     

How accounting and auditing systems can counteract risk-shifting of safety-nets in banking: Some international evidence

This paper suggests that accounting and auditing systems can be effective devices to counteract tendencies for firm risk-taking associated with bank safety nets. Results are obtained from an international sample of publicly traded banks after controlling for other regulatory control devices for bank risk such as restrictions on banking activities, minimum regulatory capital requirements and official discipline. The efficacy of accounting and auditing systems in controlling bank risk diminishes with bank charter value and increases with moral hazard stemming from a country's deposit insurance. The results also indicate that accounting and auditing systems are complements for minimum capital requirements, but substitutes for restrictions on bank activities and official discipline.     

Assessing individual differences in psychophysical functions

Individual differences in psychophysical data are examined in an olfactory experiment using a group of sixteen children (9 year olds) and three different techniques: magnitude estimation (ME), reglets or sticks (RE) and finger span (FS). From the responses given in the three techniques Steven's functions were calculated. Group and individual fits to the power law are analyzed. Comparisons of all individual curves were also done and consistency of the subjects responses across techniques was examined. Results show that: (1) while group data fit to the power law, individual data, in general, do not; (2) individual differences are found in both slopes and intercepts and (3) subjects are consistent in their judgments across techniques. These results might be interpreted in a sensory and cognitive context. Further research is needed to identify the specific contribution of sensory and cognitive sources to the individual differences in the psychophysical function.     

Short‐term monitoring of fiscal policy discipline

Under the Maastricht Treaty and the Stability and Growth Pact (SGP), European Union (EU) Member States commit themselves to avoid excessive deficits over 3% of GDP and to pursue the medium‐term objective of budgetary positions close to balance or in surplus. The SGP also provides regulation for the surveillance of budgetary positions. An analysis of tools for the surveillance of budgetary positions is the focus of this paper. In particular, it addresses two open issues in the empirical public finance literature which are crucial for monitoring fiscal policy discipline in the EU. First, the estimation of the structural component of the fiscal balance ratio. Second, the computation, when only annual fiscal data are available, of quarterly budget balance ratios, using relevant information from quarterly measured macroeconomic series. An econometric model that addresses both issues is presented and estimated. Additionally, this modelling framework allows us to answer questions such as: what is the safety margin that will prevent a particular country from reaching, with certain probability, a budget deficit that breaches the 3% upper bound? Copyright © 2004 John Wiley & Sons, Ltd.     

Incorporating nutrients into meat demand analysis using household budgets data

The objective of this article is to analyze the Spanish demand for meat, taking into account the consumer's concern about the relationship between food diet and health. This concern is forcing food demand analysts to assume that consumer utility is a function of nutrients instead of simply the food products themselves. Nevertheless, these utility function arguments are not produced in the marketplace but rather at home. As a consequence, in this article household production theory is followed in order to analyze Spanish demand for meat using the Quarterly National Expenditure Survey for 1999. Demands for several meat products (the input in the model) are derived from the translog cost function. Censored regression models are used in the estimation process, since many zero responses are reported. Five broad categories, eight nutrients, and the most relevant socioeconomic variables are considered. Finally, a set of elasticities is calculated with respect to all the variables included in the analysis.     

Análisis del servicio de Urgencias aplicando teoría de líneas de espera

Those responsible for making decisions in hospitals are increasingly aware of the need to efficiently manage hospital systems. An option for analysis is done by queuing models. In this paper is analyzed the service area ER, in a public hospital applying the concepts and relationships of waiting lines. From the model results, it is concluded that in the emergency department does not have the required minimum number of doctors to allow a steady flow of patients. With the model, the minimum required number of doctors is calculated to meet current and future demand for service with the same service time and the same discipline of service. Analytical models, allowing direct understand the relationships between service demand, number of doctors and patient care priority viewed as a queuing system. The work is useful for administrators and managers of hospital systems.     

Advertising,consumer awareness,and choice: evidence from the U.S. banking industry

How does advertising influence consumer decisions and market outcomes? We utilize detailed data on consumer shopping behavior and choices over bank accounts to investigate the effects of advertising on the different stages of the shopping process: awareness, consideration, and choice. We formulate a structural model with costly search and endogenous consideration sets, and show that advertising in the U.S. banking industry is primarily a shifter of awareness as opposed to consideration or choice. Advertising makes consumers aware of more options, search more, and find better alternatives. This increases the market share of smaller banks and makes the industry more competitive.     

Spatial shift-share analysis versus spatial filtering: an application to Spanish employment data

The aim of this work is to analyse the influence of spatial effects in the evolution of regional employment, thus improving the explanation of the existing differences. With this aim, two non-parametric techniques are proposed: spatial shift-share analysis and spatial filtering. Spatial shift-share models based on previously defined spatial weights matrix allow the identification and estimation of the spatial effects. Furthermore, spatial filtering techniques can be used in order to remove the effects of spatial correlation, thus allowing the decomposition of the employment variation into two components, respectively related to the spatial and structural effects. The application of both techniques to the spatial analysis of regional employment in Spain leads to some interesting findings and shows the main advantages and limitations of each of the considered procedures, together with the quantification of their sensitivity with regard to the considered weights matrix.