Unique bid auctions: Equilibrium solutions and experimental evidence

Two types of auction were introduced on the Internet a few years ago and have rapidly been gaining widespread popularity. In both auctions, players compete for an exogenously determined prize by independently choosing an integer in some finite and common strategy space specified by the auctioneer. In the unique lowest (highest) bid auction, the winner of the prize is the player who submits the lowest (highest) bid, provided that it is unique. We construct the symmetric mixed-strategy equilibrium solutions to the two auctions, and then test them in a sequence of experiments that vary the number of bidders and size of the strategy space. Our results show that the aggregate bids, but only a minority of the individual bidders, are accounted for quite accurately by the equilibrium solutions.

Resolving Octant Degeneracy at LBL experiment by combining Daya Bay Reactor Setup

Long baseline Experiment (LBL) have promised to be a very powerful experimental set up to study various issues related to Neutrinos. Some ongoing and planned LBL and medium baseline experiments are - T2K, MINOS, NOvA, LBNE, LBNO etc. But the long baseline experiments are crippled due to presence of some parameter degeneracies, like the Octant degeneracy. In this work, we first show the presence of Octant degeneracy in LBL experiments, and then combine it with Daya Bay Reactor experiment, at different values of CP violation phase. We show that the Octant degeneracy in LBNE can be resolved completely with this proposal.Comment: 4 pages, 8 figure

Precautionary Demand for Foreign Assets in Sudden Stop Economies: An Assessment of the New Merchantilism

Financial globalization was off to a rocky start in emerging economies hit by Sudden Stops since the mid 1990s. Foreign reserves grew very rapidly during this period, and hence it is often argued that we live in the era of a New Merchantilism in which large stocks of reserves are a war-chest for defense against Sudden Stops. We conduct a quantitative assessment of this argument using a stochastic intertemporal equilibrium framework with incomplete asset markets in which precautionary saving affects foreign assets via three mechanisms: business cycle volatility, financial globalization, and Sudden Stop risk. In this framework, Sudden Stops are an equilibrium outcome produced by an endogenous credit constraint that triggers Irving Fisher's debt-deflation mechanism. Our results show that financial globalization and Sudden Stop risk are plausible explanations of the observed surge in reserves but business cycle volatility is not. In fact, business cycle volatility has declined in the post-globalization period. These results hold whether we use the formulation of intertemporal preferences of the Bewley-Aiyagari-Hugget class of precautionary savings models or the Uzawa-Epstein setup with endogenous time preference.

Unique bid auctions: Equilibrium solutions and experimental evidence

Two types of auction were introduced on the Internet a few years ago and have rapidly been gaining widespread popularity. In both auctions, players compete for an exogenously determined prize by independently choosing an integer in some finite and common strategy space specified by the auctioneer. In the unique lowest (highest) bid auction, the winner of the prize is the player who submits the lowest (highest) bid, provided that it is unique. We construct the symmetric mixed-strategy equilibrium solutions to the two auctions, and then test them in a sequence of experiments that vary the number of bidders and size of the strategy space. Our results show that the aggregate bids, but only a minority of the individual bidders, are accounted for quite accurately by the equilibrium solutions.unique bid auctions; equilibrium analysis; experiment

Under-Five Child Growth and Nutrition Status: Spatial Clustering of Indian Districts

Variation in human growth and the genetic and environmental factors that are influencing it have been described worldwide. The objective of this study is to assess the geographical variance of under-five nutritional status and its related covariates across Indian districts. We use the most recent fourth round of the Indian National Family Health Survey conducted in 2015–2016, which for the first time offers district level information. We employ principal component analysis (PCA) on the demographic and socio-economic determinants of childhood morbidity and conduct hierarchical clustering analysis to identify geographical patterns in nutritional status at the district level. Our results reveal strong geographical clustering among the districts of India, often crossing state borders. Throughout most of Southern India, children are provided with relatively better conditions for growth and improved nutritional status, as compared to districts in the central, particularly rural parts of India along the so called “tribal belt”. Here is also where girls are on average measured to have less weight and height compared to boys. Looking at average weight, as well as the proportion of children that suffer from underweight and wasting, north-eastern Indian districts offer living conditions more conducive to healthy child development. The geographical clustering of malnutrition, as well as below-average child height and weight coincides with high poverty, low female education, lower BMI among mothers, higher prevalence of both parity 4 + and teenage pregnancies. The present study highlights the importance of combining PCA and cluster analysis in studying variation in under-five child growth and of conducting this analysis at the district level. We identify the geographical areas, where children are under severe risk of undernutrition, stunting and wasting and contribute to formulating policies to improve child nutrition in India

Attention and regional gray matter development in very preterm children at age 12 years

Objectives: This study examines the selective, sustained, and executive attention abilities of very preterm (VPT) born children in relation to concurrent structural magnetic resonance imaging (MRI) measures of regional gray matter development at age 12 years. Methods: A regional cohort of 110 VPT (≤32 weeks gestation) and 113 full term (FT) born children were assessed at corrected age 12 years on the Test of Everyday Attention-Children. They also had a structural MRI scan that was subsequently analyzed using voxel-based morphometry to quantify regional between-group differences in cerebral gray matter development, which were then related to attention measures using multivariate methods. Results: VPT children obtained similar selective (p=.85), but poorer sustained (p=.02) and executive attention (p=.01) scores than FT children. VPT children were also characterized by reduced gray matter in the bilateral parietal, temporal, prefrontal and posterior cingulate cortices, bilateral thalami, and left hippocampus; and increased gray matter in the occipital and anterior cingulate cortices (family-wise error-corrected

Estimate of CP Violation for the LBNE Project and $\delta_{CP}

Measurements of CP violation (CPV) and the basic $\delta_{CP}$ parameter are the goals of the LBNE Project, which is being planned. Using the expected energy and baseline parameters for the LBNE Project, CPV and the dependence of CPV on $\delta_{CP}$ are estimated, to help in the planning of this project.Comment: 7 pages, 1 figur

Analysis of Deterioration in a Plasma Focus Device

Indexación: Scopus.The Plasma Focus (PF) is a kind of dense transient plasmas in with high-pulsed voltage. To produce devices for eld application it is necessary to obtain PF equipment able to operate for a long period of time. Thus, a reliability analysis is indispensable. In this work a reliability analysis program for plasma focus devices is presented. The program considers a criticality analysis using Failure Modes and Effects Criticality Analysis (FMECA) to identify the most important failure modes of the system. Said failure modes are studied operating the Plasma Focus for many cycles, obtaining from them the characteristic curves of V(t) and İ(t). Feature Extraction (FE) techniques are applied to obtain a list of parameters that correlate to the degrading process. Furthermore, Machine Learning tools are used to learn from the obtained data, linking the changes in these parameters during its life cycle to the decay of the system in hope for future implementation of a predictive maintenance system and a reference for data analysis and prediction in PFs. The study was applied to a portable plasma focus device operated at 2 joules of stored energy. © Published under licence by IOP Publishing Ltd.The work is supported by IAEA CRP contract 20370 and by grant ACT-1115, CONICYT, Chile.https://iopscience.iop.org/article/10.1088/1742-6596/1043/1/01204

Student Anxiety and Their Speaking Performance: Teaching EFL to Indonesian Student

This study aims at finding out whether or not there's an impact on students' anxiety on their speaking performance. In addition, it also has an aim to identify factors relate to students' reluctance that can hinder their oral performance. Observation, interview, and questionnaire have been used to collect the data which has then been analyzed in a qualitative way. 25 students of the second semester of English Department Universitas Nusa Cendana Indonesia have been selected as the subject of this research. Based on the findings and analysis, it can be revealed that students' anxiety definitely has an impact on their speaking performance and this becomes one of the reasons why they find it difficult to express themselves in English. Many factors have been identified but only those which have been considered as the main ones are presented in this writing to answer the question of why the students have been reluctant in their oral performance. Knowing that their oral performance was severely hampered by the above-mentioned factors, several solutions have been recommended to make them easy to cope with their anxiety