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The Economics of Catalan Separatism
This book analyses the economic consequences of the regional government of Catalonia's challenge to democracy and the rule of law in Spain. This process, started in 2010, culminated in a coup d'état in the autumn of 2017. The book has three parts. First: The circumstances behind the challenge: economic structure, social and political aspects. Second: The economic impacts of the resulting huge political instability and social polarisation, and the downturn in GDP, investment, competitiveness, Barcelona's appeal, and flight of companies and banks to Madrid. Third: Independence would mean collapse of trade with the rest of Spain and the EU, expulsion from the eurozone, fall of GDP, plummeting tax revenue, soaring unemployment and, finally, conversion of this hypothetical new Catalonia into a failed, vassal and totalitarian state. This book is destined to be the foremost work of reference on the consequences of the separatist threat to Spain, including Catalonia's current decline.
LISREL Issues, Debates and Strategies
A more appropriate Monte-Carlo-test model is proposed and a brief review of the recent literature is provided.
New Developments in Psychometrics
At the International Meeting of the Psychometric Society in Osaka, Japan, more than 300 participants from 19 countries gathered to discuss recent developments in the theory and application of psychometrics. This volume of proceedings includes papers on methods of psychometrics such as the structural equation model and item response theory. The book is in eight major sections: keynote speeches and invited lectures; structural equation modeling and factor analysis; IRT and adaptive testing; multivariate statistical methods; scaling; classification methods; and independent and principal component analysis. The 80 papers collected here provide a valuable source of information for all who are concerned with psychometrics, mathematical and statistical applications, and data analysis in psychological and behavioral sciences.
Methods, Theories, and Empirical Applications in the Social Sciences
The volume addresses major features in empirical social research from methodological and theoretical perspectives. Prominent researchers discuss central problems in empirical social research in a theory-driven way from political science, sociological or social-psychological points of view. These contributions focus on a renewed discussion of foundations together with innovative and open research questions or interdisciplinary research perspectives.
Applied Stochastic Models and Data Analysis
As with previous symposiums, the main objective of the Sixth International Symposium is to publish papers (of both technical and practical nature) to present new findings uncovered by theoretical results which may have the potential to contribute solutions to real-life problems. With this objective in mind, this collection of papers aims to serve as an interface between stochastic modeling and data analysis as well as their applications to the problems we face in the various fields. The papers first focused on the theory, application and interaction between stochastic models and data analysis. The results and their applications to the problems we face in the fields of economics, finance and insurance, management, marketing, health sciences, production and engineering are then explored.
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I Just Ran Four Million Regressions
In this paper I try to move away from the Extreme Bounds method of identifying" Instead of analyzing the" extreme bounds of the estimates of the coefficient of a particular variable distribution. My claim in this paper is that, if we do this, the picture emerging from the" empirical growth literature is not the pessimistic Robust" that we get with the" extreme bound analysis. Instead, we find that a substantial number of variables can be found" to be strongly related to growth.
Multilevel Analysis of Educational Data
Multilevel Analysis of Educational Data focuses on the principles and procedures used in the evaluation of educational progress. The selection first offers information on some applications of multilevel models to educational data, empirical Bayes methods, and a hierarchical item-response model for educational testing. Discussions focus on the interface between levels, group-level model for content elements, an application of empirical Bayes, validity generalization, improving law school validity studies, and summarizing evidence in randomized experiments on coaching. The text then takes a look at difficulties with Bayesian inference for random effects and multilevel aspects of varying parameters in structural models. The book elaborates on models for multilevel response variables with an application to growth curves and the issues and problems emerging from the application of multilevel models in British studies of school effectiveness, including enduring questions, two-level models, estimation and prediction, and econometric random coefficient modeling. The selection is a dependable reference for educators and researchers interested in the evaluation of educational progress.
