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Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022).
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ISBN: 9464630426 9464630418 Year: 2023 Publisher: Dordrecht : Atlantis Press (Zeger Karssen),

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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.


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Unobserved components and time series econometrics
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ISBN: 0191763292 0191506575 Year: 2016 Publisher: Oxford : Oxford University Press,

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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.


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Time series and panel data econometrics
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ISBN: 0191800503 Year: 2016 Publisher: Oxford : Oxford University Press,

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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.


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Advances in contemporary statistics and econometrics : Festschrift in honor of Christine Thomas-Agnan
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ISBN: 3030732495 3030732487 Year: 2021 Publisher: Cham, Switzerland : Springer,

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Periodical
Journal of quantitative economics : journal of the Indian Econometric Society.
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ISSN: 09711554 23641045 Year: 1985 Publisher: [Delhi] : Indian Econometric Society,

Finite sample econometrics
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ISBN: 0198774486 0198774478 0191525057 1282052527 9786612052521 9780198774488 9780198774471 Year: 2004 Publisher: Oxford: Oxford university press,

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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


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Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R
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ISBN: 3031118324 3031118332 Year: 2022 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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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.


Periodical
Cliometrica
ISSN: 18632505 18632513 Publisher: Berlin Springer


Book
The Palgrave Handbook of Economic Performance Analysis
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ISBN: 3030237273 3030237265 Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Palgrave Macmillan,

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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.


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Partial Least Squares Path Modeling : Basic Concepts, Methodological Issues and Applications
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ISBN: 3031377729 Year: 2023 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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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.

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