In a setting of many‐to‐one two‐sided matching with nontransferable utilities, for example, college admissions, we study conditions under which preferences both sides are identified data on one single market. Regardless whether the market is centralized or decentralized, assuming that observed stable, show nonparametric identification certain exclusion restrictions. To take our results to data, use Monte Carlo simulations evaluate different estimators, including ones directly constructed...

Malaria detection is a time-consuming procedure. Only blood sample investigation the practice which provides confirmation. Now numerous computational methods have been used to make it faster. The proposed model uses conception of Convolutional Neural Network (CNN) lessen time complexity in identification Malaria. prototypical different deep learning algorithms same dataset validate stability. Model two various components CNN like Sequential and ResNet. ResNet more number hidden layers rather...

The present work deals with real-time database updation of moving vehicle through dynamic automation system, where position and internal conditions the car are auto-saved in cloud server. total embedded system is a simulated prototype, already implemented virtually for smaller distance movement on suitable road condition, auto-checking fuel remained shows novelty compared to existing data available literature. As evident form experimental results, soil moistures sensor detects whereas...

We study partial identification of the preference parameters in one-to-one matching model with perfectly transferable utilities. do so without imposing parametric distributional assumptions on unobserved heterogeneity and data one large market. provide a tractable characterization identified set under various classes nonparametric heterogeneity. reexamine some relevant questions empirical literature marriage market, which have been previously studied logit assumption. Our results reveal that...

In a setting of many-to-one two-sided matching with non-transferable utilities, e.g., college admissions, we study conditions under which preferences both sides are identified data on one single market. Regardless whether the market is centralized or decentralized, assuming that observed stable, show nonparametric identification certain exclusion restrictions. To take our results to data, use Monte Carlo simulations evaluate different estimators, including ones directly constructed from...

We study partial identification of the preference parameters in one-to-one matching model with perfectly transferable utilities. do so without imposing parametric distributional assumptions on unobserved heterogeneity and data one large market. provide a tractable characterisation identified set under various classes nonparametric heterogeneity. Using our methodology, we re-examine some relevant questions empirical literature marriage market, which have been previously studied Logit...

We study identification of preferences in static single-agent discrete choice models where decision makers may be imperfectly informed about the state world. leverage notion one-player Bayes Correlated Equilibrium by Bergemann and Morris (2016) to provide a tractable characterization sharp identified set. develop procedure practically construct set following sieve approach, bounds on counterfactual outcomes interest. use our methodology data 2017 UK general election estimate spatial voting...

Background: Our academic performance can differ due various to non factors namely, self motivation and mind stability where peace of plays a pivotal role; confidence after any kind set back, environment financial pressure, family support, capability an individual make combat. These nonacademic may lead stress affecting our performance. Objective: Inthispaper,weaimtoassess the academicfactorsaffect Methods: The paper is modeled on survey performed college students depending upon their...