National boundaries and the location of multinational firms in Europe

Using data on 5,102 subsidiaries established in the period 1991–1999, we examine the location choice of multinational firms of different nationalities in 47 regions of five EU countries. In particular we estimate a nested logit model and find that European multinationals consider regions across different countries as relatively closer substitutes than regions within national borders. This is consistent with the hypothesis that European regions compete to attract foreign direct investments relatively more across than within countries. However, in line with previous studies, we also find that national boundaries still play some role in choices made by non-European multinationals.

Sparse density estimation on multinomial manifold combining local component analysis

A new sparse kernel density estimator is introduced based on the minimum integrated square error criterion combining local component analysis for the finite mixture model. We start with a Parzen window estimator which has the Gaussian kernels with a common covariance matrix, the local component analysis is initially applied to find the covariance matrix using expectation maximization algorithm. Since the constraint on the mixing coefficients of a finite mixture model is on the multinomial manifold, we then use the well-known Riemannian trust-region algorithm to find the set of sparse mixing coefficients. The first and second order Riemannian geometry of the multinomial manifold are utilized in the Riemannian trust-region algorithm. Numerical examples are employed to demonstrate that the proposed approach is effective in constructing sparse kernel density estimators with competitive accuracy to existing kernel density estimators.

Nested diets: a novel pattern of individual-level resource use

Many generalist populations may actually be composed of relatively specialist individuals. This `individual specialization` may have important ecological and evolutionary implications. Although this phenomenon has been documented in more than one hundred taxa, it is still unclear how individuals within a population actually partition resources. Here we applied several methods based on network theory to investigate the intrapopulation patterns of resource use in the gracile mouse opossum Gracilinanus microtarsus. We found evidence of significant individual specialization in this species and that the diets of specialists are nested within the diets of generalists. This novel pattern is consistent with a recently proposed model of optimal foraging and implies strong asymmetry in the interactions among individuals of a population.

The nested assembly of individual-resource networks

P>1. Much of the current understanding of ecological systems is based on theory that does not explicitly take into account individual variation within natural populations. However, individuals may show substantial variation in resource use. This variation in turn may be translated into topological properties of networks that depict interactions among individuals and the food resources they consume (individual-resource networks). 2. Different models derived from optimal diet theory (ODT) predict highly distinct patterns of trophic interactions at the individual level that should translate into distinct network topologies. As a consequence, individual-resource networks can be useful tools in revealing the incidence of different patterns of resource use by individuals and suggesting their mechanistic basis. 3. In the present study, using data from several dietary studies, we assembled individual-resource networks of 10 vertebrate species, previously reported to show interindividual diet variation, and used a network-based approach to investigate their structure. 4. We found significant nestedness, but no modularity, in all empirical networks, indicating that (i) these populations are composed of both opportunistic and selective individuals and (ii) the diets of the latter are ordered as predictable subsets of the diets of the more opportunistic individuals. 5. Nested patterns are a common feature of species networks, and our results extend its generality to trophic interactions at the individual level. This pattern is consistent with a recently proposed ODT model, in which individuals show similar rank preferences but differ in their acceptance rate for alternative resources. Our findings therefore suggest a common mechanism underlying interindividual variation in resource use in disparate taxa.

Infeasibility handling in genetic algorithm using nested domains for production planning

In this paper we present a genetic algorithm with new components to tackle capacitated lot sizing and scheduling problems with sequence dependent setups that appear in a wide range of industries, from soft drink bottling to food manufacturing. Finding a feasible solution to highly constrained problems is often a very difficult task. Various strategies have been applied to deal with infeasible solutions throughout the search. We propose a new scheme of classifying individuals based on nested domains to determine the solutions according to the level of infeasibility, which in our case represents bands of additional production hours (overtime). Within each band, individuals are just differentiated by their fitness function. As iterations are conducted, the widths of the bands are dynamically adjusted to improve the convergence of the individuals into the feasible domain. The numerical experiments on highly capacitated instances show the effectiveness of this computational tractable approach to guide the search toward the feasible domain. Our approach outperforms other state-of-the-art approaches and commercial solvers. (C) 2009 Elsevier Ltd. All rights reserved.

Comparison for three Classification Techniques

In this paper we show the results of a comparison simulation study for three classification techniques: Multinomial Logistic Regression (MLR), No Metric Discriminant Analysis (NDA) and Linear Discriminant Analysis (LDA). The measure used to compare the performance of the three techniques was the Error Classification Rate (ECR). We found that MLR and LDA techniques have similar performance and that they are better than DNA when the population multivariate distribution is Normal or Logit-Normal. For the case of log-normal and Sinh(-1)-normal multivariate distributions we found that MLR had the better performance.

Impactos da Nova Lei de Pisos Salariais Estaduais

Em 2000, o governo federal fixou uma lei que permitia as Unidades Federativas fixarem pisos salariais acima do salário mínimo, representando uma oportunidade privilegiada de avaliação dos seus impactos. A nova lei oferece uma fonte de variabilidade potencialmente exógena além de isolar os efeitos de mudanças do salário mínimo sobre a demanda de trabalho dos impactos fiscais exercidos no contexto brasileiro. Inicialmente, testamos a efetividade da lei, utilizando logits multinomiais aplicados a PNAD/IBGE a fim de calcular a probabilidade de acumulação de massa de salários abaixo, igual e acima dos pisos estaduais. Posteriormente, aplicamos regressões quantílicas para diferenças de salários e de ocupação antes e depois da aplicação da lei comparando grupos de tratamento e controle através de dados longitudinais da PME/IBGE. Os resultados demonstram uma baixa efetividade e um alto descumprimento da lei nos estados aonde foi aplicada.

Estabelecimento de um protocolo de Nested-PCR para detecção do vírus da anemia das galinhas e análise filogenética de cepas brasileiras.

O vírus da anemia das galinhas (CAV) pode causar imunodepressão em galinhas de todas as idades e doença nos frangos jovens, a qual é caracterizada por severa anemia, atrofia da medula óssea e hemorragias. A doença clínica é rara hoje, porém a forma subclínica é freqüentemente encontrada em criações comerciais e resulta num considerável decréscimo do desempenho. O CAV apresenta variabilidade genética, entretanto, em relação às amostras brasileiras do CAV, pouco ou quase nada desta variabilidade é conhecida. O presente trabalho descreve um protocolo de Nested-PCR para a detecção do CAV diretamente de amostras clínicas e analisa filogeneticamente as seqüências nucleotídicas das amostras positivas buscando verificar se a patologia apresentada por estas está relacionada com a variabilidade genética. Para a extração de DNA, o método baseado em tiocianato de guanidina mostrou-se mais eficiente e prático de executar que os demais testados. Foi selecionado um par de primers que amplifica uma região de 664 pb do gene vp1 e outro par que amplifica uma região interna de 539 pb para a realização da Nested-PCR. A especificidade dos primers foi avaliada utilizando amostras de lotes controlados para CAV e 30 diferentes isolados de vírus e bactérias causadoras de doenças em galinhas, as quais não geraram produto de amplificação. A sensibilidade foi determinada a partir de diluições seriadas da vacina comercial para o CAV. A Nested-PCR mostrou ser mais sensível do que a PCR e foi capaz de detectar 0,16 DICC50% da cepa vacinal. Além disso, a Nested-PCR detectou DNA viral em tecidos, soro e cama aviária de lotes com e sem sintomas clínicos.O produto de amplificação de 539 pb do gene vp1 de 44 amostras, provenientes de diferentes Estados produtores de frangos do Brasil, foi seqüenciado e foram encontradas 10 novas seqüências nucleotídicas do CAV. Estas 10 seqüências nucleotídicas foram analisadas filogeneticamente pelo método de distância neighbour joining com 1000 replicações o qual, mostrou que não houve correlação entre a patogenia apresentada nos animais e os grupos genéticos. Estas seqüências nucleotídicas também foram comparadas com 30 cepas de CAV isoladas em outros países e não foi observada correlação entre a distribuição geográfica e a variabilidade genética. Substituições de amino ácidos foram observadas em 9 posições sendo que, 65R substituindo o resíduo Q e 98F substituindo o resíduo Y ainda não haviam sido observadas. Conclui-se que, como técnica de detecção do CAV, o protocolo de Nested-PCR aqui descrito é mais sensível e menos trabalhoso do que o isolamento viral. As amostras Brasileiras de CAV possuem características filogenéticas similares às isoladas em outros países.

Estimation of random coefficients logit demand models: an application to the Brazilian fixed income fund market

Estimation of demand and supply in differentiated products markets is a central issue in Empirical Industrial Organization and has been used to study the effects of taxes, merges, introduction of new goods, market power, among others. Logit and Random Coefficients Logit are examples of demand models used to study these effects. For the supply side it is generally supposed a Nash equilibrium in prices. This work presents a detailed discussion of these models of demand and supply as well as the procedure for estimation. Lastly, is made an application to the Brazilian fixed income fund market.

The market of academic journals : empirical evidence from data on French libraries

This paper analyzes the demand and cost structure of the French market of academic journals, taking into account its intermediary role between researchers, who are both producers and consumers of knowledge. This two sidedness feature will echoes similar problems already observed in electronic markets – payment card systems, video game console etc - such as the chicken and egg problem, where readers won’t buy a journal if they do not expect its articles to be academically relevant and researchers, that live under the mantra “Publish or Perish”, will not submit to a journal with either limited public reach or weak reputation. After the merging of several databases, we estimate the aggregated nested logit demand system combined simultaneously with a cost function. We identify the structural parameters of this market and find that price elasticities of demand are quite large and margins relatively low, indicating that this industry experiences competitive constraints.

O papel da educação financeira na contratação de crédito em mercados informais

O artigo examina os determinantes para o uso de fontes informais de crédito com uma base de dados com 2.023 observações. São analisados os financiamentos contratados através de amigos/conhecidos, com ou sem a cobrança de juros, e via agiotas. Um logit multinomial é usado para comparar os efeitos da tomada de crédito na informalidade com as famílias que não contrataram nenhum tipo de crédito e com as que utilizaram crédito bancário. Os títulos de capitalização são usados como proxy para identificar aqueles com baixos níveis de educação financeira. Os resultados indicam que além da questão da restrição de crédito, o analfabetismo financeiro desempenha um papel significante na seleção desse tipo de fonte de financiamento.

Infectious bronchitis virus: detection and vaccine Strain differentiation by semi-nested RT-PCR

A semi-nested reverse transcription-polymerase chain reaction (Semi-N-RT-PCR) was developed and used to detect the S glycoprotein gene of infectious bronchitis virus (IBV) strains and to discriminate H120 vaccine strain from other strains. Viral RNA was extracted from the allantoic fluid of chicken embryos and from tissues of chickens experimentally infected with different strains of IBV. Amplification and identification of the viral RNA was performed using two sets of primers complementary to a region of the S glycoprotein gene in the Semi-N-RT-PCR assay. The pair of primers used in the first PCR consisted of universal oligonucleotides flanking a more variable region of S1-S2 gene. The second primer pair was used in the Semi-N-RT-PCR and was comprised of one of the primers from the first universal pair together with either another universal internal oligolucleotide or a oligonucleotide sequence specific for the H120 strain of IBV. The universal primers detected all reference IBV strains and field isolates tested herein. The Semi-N-RT-PCR had high sensitivity and specificity, and was able to differentiate the H120 vaccine strain from other reference IBV strains; including M41 strain. All tissue samples collected from chickens experimentally infected with H120 or M41 strains were positive in the semi-nested RT-PCR using universal primers, while only the H120-infected tissue samples were amplified by the set of primers containing the H120-oligonucleotide. In conclusion, the ability of Semi-N-RT-PCR to detect distinct IBV strains and preliminarily discriminate the vaccine strain (H120) closes a diagnostic gap and offers the opportunity to use comprehensive PCR procedures for the IBV diagnosis.

In vitro culture, PCR , and nested PCR for the detection of Theileria equi in horses submitted to exercise

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Detection of bovine herpesvirus 5 (BoHV-5) in formalin-fixed, paraffin-embedded bovine brain by nested PCR in Colombian cattle

Fifteen cases of viral meningoencephalitis in Colombian cattle were tested by nested PCR analysis for the detection of bovine herpesvirus 5 (BoHV-5). All fatal cases had shown severe neurological signs and had occurred following natural outbreaks of the disease. The neurological infection was histologically characterized by mild to moderate inflammatory changes in the brain and cerebellum, including meningitis, mononuclear perivascular cuffing, gliosis, haemorrhage, and the presence of Gitter cells (macrophages) accompanying large areas of malacia. No intranuclear inclusion bodies were seen in any of the cases. Results from BoHV-5 molecular extraction analyses showed there were five positive cases thus confirming the presence of the virus in Colombia.

A nested-PCR assay for detection of Xylella fastidiosa in citrus plants and sharpshooter leafhoppers

Aims: Detection of Xylella fastidiosa in citrus plants and insect vectors.Methods and Results: Chelex 100 resin matrix was successfully standardized allowing a fast DNA extraction of X. fastidiosa. An amplicon of 500 bp was observed in samples of citrus leaf and citrus xylem extract, with and without symptoms of citrus variegated chlorosis, using PCR with a specific primer set indicating the presence of X. fastidiosa. The addition of insoluble acid-washed polyvinylpyrrolidone (PVPP) prior to DNA extraction of insect samples using Chelex 100 resin together with nested-PCR permitted the detection of X. fastidiosa within sharpshooter heads with great sensitivity. It was possible to detect up to two bacteria per reaction. From 250 sharpshooter samples comprising four species (Dilobopterus costalimai, Oncometopia facialis, Bucephalogonia xanthopis and Acrogonia sp.), 87 individuals showed positive results for X. fastidiosa in a nested-PCR assay.Conclusions: the use of Chelex 100 resin allowed a fast and efficient DNA extraction to be used in the detection of X. fastidiosa in citrus plants and insect vectors by PCR and nested-PCR assays, respectively.Significance and Impact of the study: the employment of efficient and sensitive methods to detect X. fastidiosa in citrus plants and insect vectors will greatly assist epidemiological studies.