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This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.
Econometrics --- Mathematical statistics --- Econometria --- Estadística matemàtica
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This title presents original and up-to-date studies in unobserved components (UC) time series models from both theoretical and methodological perspectives.
Econometrics. --- Time-series analysis. --- Econometria --- Anàlisi de sèries temporals
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This work describes and illustrates many advances that have taken place in a number of areas in theoretical and applied econometrics over the past four decades.
Econometrics. --- Macroeconomics --- Econometria --- Macroeconomia --- Models matemàtics --- Mathematical models.
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Econometrics. --- Econometria --- Economics, Mathematical --- Statistics --- Anàlisi econòmica --- Estadística econòmica --- Models economètrics --- Estadística --- Teoria econòmica
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Business, Economy and Management --- Economics --- Quantitative methods (economics) --- Economics, Mathematical --- Econometrics --- Econometrics. --- Economics, Mathematical. --- Econometrie. --- Mathematical economics --- Mathematics --- Statistics --- Methodology --- Ökonometrie. --- Theorie. --- Economia matemàtica --- Econometria --- Matemàtica financera --- Économétrie --- Ökonometrie. --- Economia matemàtica. --- Econometria. --- Matemàtica financera.
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This book provides a comprehensive and unified treatment of finite sample statistics and econometrics, a field that has evolved in the last five decades. Within this framework, this is the first book which discusses the basic analytical tools of finite sample econometrics, and explores their applications to models covered in a first year graduate course in econometrics, including repression functions, dynamic models, forecasting, simultaneous equations models, panel data models, andcensored models. Both linear and nonlinear models, as well as models with normal and non-normal errors, are studi
Econometrics. --- Econométrie --- Econometrics --- 330.115 --- 330.015195 --- Economics, Mathematical --- Statistics --- Econometrie --- 330.115 Econometrie --- Econométrie --- Econometria
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Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R, as well as supplementary material that will enable the reader to quickly adapt the methods to their own applications.
Statistics. --- Quantitative research. --- Statistics—Computer programs. --- Statistical Theory and Methods. --- Data Analysis and Big Data. --- Applied Statistics. --- Statistical Software. --- Estadística --- Econometria --- Macroeconomia --- R (Llenguatge de programació)
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Economics --- Econometrics --- Economie politique --- Econométrie --- History --- Periodicals. --- Histoire --- Périodiques --- Économie politique --- Économétrie --- Economische situatie. --- Business, Economy and Management --- Econometrics. --- Economics. --- Economic Theory --- Economic theory --- Political economy --- Social sciences --- Economic man --- Economics, Mathematical --- Statistics --- Economia --- Econometria --- Économie politique --- Économétrie --- Economia. --- Econometria.
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This Handbook takes an econometric approach to the foundations of economic performance analysis. The focus is on the measurement of efficiency, productivity, growth and performance. These concepts are commonly measured residually and difficult to quantify in practice. In real-life applications, efficiency and productivity estimates are often quite sensitive to the models used in the performance assessment and the methodological approaches adopted by the analysis. The Palgrave Handbook of Performance Analysis discusses the two basic techniques of performance measurement – deterministic benchmarking and stochastic benchmarking – in detail, and addresses the statistical techniques that connect them. All chapters include applications and explore topics ranging from the output/input ratio to productivity indexes and national statistics.
Economics, Mathematical. --- Economics --- Mathematical economics --- Econometrics --- Mathematics --- Methodology --- Econometría --- Macroeconomía --- Econometrics. --- Microeconomics. --- Macroeconomics. --- Statistics . --- Macroeconomics/Monetary Economics//Financial Economics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Price theory --- Economics, Mathematical --- Statistics --- Statistics.
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Now in its second edition, this edited book presents recent progress and techniques in partial least squares path modeling (PLS-PM), and provides a comprehensive overview of the current state-of-the-art in PLS-PM research. Like the previous edition, the book is divided into three parts: the first part emphasizes the basic concepts and extensions of the PLS-PM method; the second part discusses the methodological issues that have been the focus of recent developments, and the last part deals with real-world applications of the PLS-PM method in various disciplines. This new edition broadens the scope of the first edition and consists of entirely new original contributions, again written by expert authors in the field, on a wide range of topics, including: how to perform quantile composite path modeling with R; the rationale and justification for using PLS-PM in top-tier journals; psychometric properties of three weighting schemes and why PLS-PM is a better fit to mode B; a comprehensive review of PLS software; how to perform out-of-sample predictions with ordinal consistent partial least squares; multicollinearity issues in PLS-PM using ridge regression; theorizing and testing specific indirect effects in PLS and considering their effect size; how to run hierarchical models and available approaches; and how to apply necessary condition analysis (NCA) in PLS-PM. This book will appeal to researchers interested in the latest advances in PLS-PM as well as masters and Ph.D. students in a variety of disciplines who use PLS-PM methods. With clear guidelines on selecting and using PLS-PM, especially those related to composite models, readers will be brought up to date on recent debates in the field.
Statistics. --- Statistics --- Social sciences --- Econometrics. --- Multivariate analysis. --- Statistical Theory and Methods. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Statistical Software. --- Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. --- Multivariate Analysis. --- Computer programs. --- Statistical methods. --- Anàlisi multivariable --- Econometria
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