The impact of Chilean migration on employment in Patagonia

This paper discusses the employment situation of Chilean migrant workers, their impact on labor markets in Patagonia, Argentina, and the government's past and projected responses to this phenomenon. In 1980, Chilean inhabitants of patagonia comprised 11% of the area's population. Chilean migration to patagonia was closely linked to economic activities that began to flourish in the 20th century, such as livestock raising, fruit and vegetable cultivation, and mining for coal and petroleum. No Chilean migrants work in a wide range of sectors. In Patagonia's southern provinces availability and ability to withstand rigorous climate conditions are the main factors which account for the prevalence of Chilean manpower. Chilean migrants do not in general displace local manpower. Legislation and the permeability of the border ensure that most workers enter the country as tourists. Clandestine migration is not an issue. Illegal migrants have provoked negative reactions for several reasons: 1) they comprise a marginal population without formal citizenship; 2) being employed as clandestine workers, they pay no social security, nor do their employers; 3) being illegal, they are obliged to accept lower wages and inferior working conditions which creates unfair competition within labor markets; and 4) as a result of these conditions, xenophobic and endophobic attitudes in relations with Argentine nationalists are reinforced. The government has attempted to solve these problems through various measures. Beginning in 1934, most foreigners entered Argentina with a tourist visa, becoming illegal when they stayed beyond authorized limits. Several measures over the years provided amnesty to illegal migrants. Currently, the law promotes immigration, monitors the admission of foreigners to the country and stipulates their rights and obligations. The law lists 115 articles on immigration promotion and on regulation of the movements of foreigners. Because of the present economic crisis in Argentina, authorities are investigating the effect of Chilean manpower on Argentine labor markets.     

The Impact of Educational Homogamy on Isolated Illiteracy Levels

In this article, we explore the impacts that education expansion and increased levels in educational homogamy have had on couples’ isolated illiteracy rates, defined as the proportion of illiterates in union that are married to an illiterate partner. First, we develop the methodology to decompose isolated illiteracy rates into two main components: one related to level of homogamy among illiterates, and the other related to the educational distribution of the spouses. Second, we use harmonized international census microdata from IPUMS and DHS data for 73 countries and 217 samples to investigate which of the two components is more important in shaping the level of isolated illiteracy. Our results indicate that the expansion of literacy has been more powerful than the increases in the tendency toward homogamy in its impact on isolated illiteracy rates. As the percentage of illiterates decreases over time, an increasingly large proportion of them marry literate individuals, showing that opportunities for intermarriage among illiterates expand despite the strengthening of homogamy.     

Quality certification, institutions and innovation in local agro-food systems: Protected designations of origin of olive oil in Spain

This article examines the interrelations between establishment of territorial quality certification systems (Protected Designations of Origin or PDOs), diffusion of innovations through local agro-food chains, and the role of the institutions overseeing geographical designations. Empirical analysis is applied to olive oil PDOs in Spain and entails a detailed case study of the “Sierra Mágina” PDO in Andalusia. Making use of the neoinstitutional concept of ‘organised proximity’—and focussing specifically on the problematic of organizational quality—the article assesses characteristics that support the competitive positions of local certified-product production systems. In particular, the authors find that collective organisation and coordination between PDO agents who are locally responsible for quality assurance and protection can enhance local competitiveness. Three hypotheses are confirmed. First, PDO labels can, through the action of PDO regulators, become quality assurance systems for distributors. Second, PDO Regulatory Boards can enhance and coordinate local inter-professional activities, particularly with respect to the diffusion of quality-enhancing innovations and knowledge. Third, the study indicates that local certified-product systems are starting to incorporate quality attributes linked to the environment and sustainable development, although much remains to be accomplished in this regard.     

The Educational Homogamy Gap Between Married and Cohabiting Couples in Latin America

The explosive expansion of non-marital cohabitation in Latin America since the 1970s has led to the narrowing of the gap in educational homogamy between married and cohabiting couples (what we call “homogamy gap”) as shown by our analysis of 29 census samples encompassing eight countries: Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Mexico, and Panama (N = 2,295,160 young couples). Most research on the homogamy gap is limited to a single decade and a small group of developed countries (the United States, Canada, and Europe). We take a historical and cross-national perspective and expand the research to a range of developing countries, where since early colonial times, traditional forms of cohabitation among the poor, uneducated sectors of society have coexisted with marriage, although to widely varying degrees from country to country. In recent decades, cohabitation is emerging in all sectors of society. We find that among married couples, educational homogamy continues to be higher than for those who cohabit, but in recent decades, the difference has narrowed substantially in all countries. We argue that assortative mating between cohabiting and married couples tends to be similar when the contexts in which they are formed are also increasingly similar.     

Bayesian Analysis of Multiple Hypothesis Testing with Applications to Microarray Experiments

Recently, the field of multiple hypothesis testing has experienced a great expansion, basically because of the new methods developed in the field of genomics. These new methods allow scientists to simultaneously process thousands of hypothesis tests. The frequentist approach to this problem is made by using different testing error measures that allow to control the Type I error rate at a certain desired level. Alternatively, in this article, a Bayesian hierarchical model based on mixture distributions and an empirical Bayes approach are proposed in order to produce a list of rejected hypotheses that will be declared significant and interesting for a more detailed posterior analysis. In particular, we develop a straightforward implementation of a Gibbs sampling scheme where all the conditional posterior distributions are explicit. The results are compared with the frequentist False Discovery Rate (FDR) methodology. Simulation examples show that our model improves the FDR procedure in the sense that it diminishes the percentage of false negatives keeping an acceptable percentage of false positives.     

Market potential, European Union and growth

The successive enlargements of the European Union have implied an important increase of the market where European firms can supply their products. In this paper we analyze the influence of this process on the economic growth of EU members by including the market potential as a scale indicator in a Solow-type model. The main results are: first, the integration in the EU, specially for new members, explain a substantial fraction of subsequent growth (between 15% and 40%); second, this effect diminishes over time; third, the GDP of new members appears to have a greater positive influence than its population; and fourth, peripheral countries and those less open to trade are in a worse position to appropriate such benefits.     

A step-by-step algorithm for combining diagnostic tests

Combining data of several tests or markers for the classification of patients according to their health status for assigning better treatments is a major issue in the study of diseases such as cancer. In order to tackle this problem, several approaches have been proposed in the literature. In this paper, a step-by-step algorithm for estimating the parameters of a linear classifier that combines several measures is considered. The optimization criterion is to maximize the area under the receiver operating characteristic curve. The algorithm is applied to different simulated data sets and its performance is evaluated. Finally, the method is illustrated with a prostate cancer staging database.     

Predicting Public Corruption with Neural Networks: An Analysis of Spanish Provinces

We contend that corruption must be detected as soon as possible so that corrective and preventive measures may be taken. Thus, we develop an early warning system based on a neural network approach, specifically self-organizing maps, to predict public corruption based on economic and political factors. Unlike previous research, which is based on the perception of corruption, we use data on actual cases of corruption. We apply the model to Spanish provinces in which actual cases of corruption were reported by the media or went to court between 2000 and 2012. We find that the taxation of real estate, economic growth, the increase in real estate prices, the growing number of deposit institutions and non-financial firms, and the same political party remaining in power for long periods seem to induce public corruption. Our model provides different profiles of corruption risk depending on the economic conditions of a region conditional on the timing of the prediction. Our model also provides different time frameworks to predict corruption up to 3 years before cases are detected.