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Spatial Econometrics

by Harry Kelejian, Gianfranco Piras ...

Spatial Econometrics provides a modern, powerful and flexible skillset to early career researchers interested in entering this rapidly expanding discipline. It articulates the principles and current practice of modern spatial econometrics and spatial statistics, combining rigorous depth of presentation with unusual depth of coverage. Introducing and formalizing the principles of, and 'need' for, ... Read more

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Spatial Econometrics provides a modern, powerful and flexible skillset to early career researchers interested in entering this rapidly expanding discipline. It articulates the principles and current practice of modern spatial econometrics and spatial statistics, combining rigorous depth of presentation with unusual depth of coverage. Introducing and formalizing the principles of, and 'need' for,
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Childhood Trauma in Mental Disorders

A Comprehensive Approach

Edited by Gianfranco Spalletta, Delfina Janiri, Federica Piras, Gabriele Sani ...

Series series Medicine (R0)
This volume presents a comprehensive overview of childhood trauma, considering the psychopathological definition and its neurobiological implications as well as its impact on different psychiatric disorders. The focus on childhood trauma rather than that occurring in adulthood is important due to its general “neuro-psyco-socio” and its specific biological implications, since trauma during ... Read more

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This volume presents a comprehensive overview of childhood trauma, considering the psychopathological definition and its neurobiological implications as well as its impact on different psychiatric disorders. The focus on childhood trauma rather than that occurring in adulthood is important due to its general “neuro-psyco-socio” and its specific biological implications, since trauma during
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Input-Output Analysis

Foundations and Extensions

by Ronald E. Miller, Peter D. Blair ...

This edition of Ronald Miller and Peter Blair's classic textbook is an essential reference for students and scholars in the input-output research and applications community. The book has been fully revised and updated to reflect important developments in the field since its original publication. New topics covered include SAMs (and extended input-output models) and their connection to input-output ... Read more

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This edition of Ronald Miller and Peter Blair's classic textbook is an essential reference for students and scholars in the input-output research and applications community. The book has been fully revised and updated to reflect important developments in the field since its original publication. New topics covered include SAMs (and extended input-output models) and their connection to input-output
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Introductory Econometrics

Using Monte Carlo Simulation with Microsoft Excel

by Humberto Barreto, Frank Howland ...

This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) ... Read more

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This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS)
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Mathematics for Econometrics

by Phoebus J. Dhrymes ...

Series series Mathematics and Statistics (R0)
This book deals with a number of mathematical topics that are of great importance in the study of classical econometrics. There is a lengthy chapter on matrix algebra, which takes the reader from the most elementary aspects to the partitioned inverses, characteristic roots and vectors, symmetric, and orthogonal and positive (semi) definite matrices. The book also covers pseudo-inverses, solutions ... Read more

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This book deals with a number of mathematical topics that are of great importance in the study of classical econometrics. There is a lengthy chapter on matrix algebra, which takes the reader from the most elementary aspects to the partitioned inverses, characteristic roots and vectors, symmetric, and orthogonal and positive (semi) definite matrices. The book also covers pseudo-inverses, solutions
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Matrix Algebra

by Karim M. Abadir, Jan R. Magnus ...

Series Book 1 - Econometric Exercises
Matrix Algebra is the first volume of the Econometric Exercises Series. It contains exercises relating to course material in matrix algebra that students are expected to know while enrolled in an (advanced) undergraduate or a postgraduate course in econometrics or statistics. The book contains a comprehensive collection of exercises, all with full answers. But the book is not just a collection of ... Read more

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Matrix Algebra is the first volume of the Econometric Exercises Series. It contains exercises relating to course material in matrix algebra that students are expected to know while enrolled in an (advanced) undergraduate or a postgraduate course in econometrics or statistics. The book contains a comprehensive collection of exercises, all with full answers. But the book is not just a collection of
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Applied Time Series Econometrics

Edited by Helmut Lütkepohl, Markus Krätzig ...

Series series Themes in Modern Econometrics
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Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas
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Inference and Intervention

Causal Models for Business Analysis

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Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications. In a world of resource scarcity, a decision about which business elements to control or change – as the authors put it, a managerial intervention – must precede any decision on how to control or change them, and understanding causality is crucial to making
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by Subal C. Kumbhakar, Hung-Jen Wang, Alan P. Horncastle ...

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A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples
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Collecting, Managing, and Assessing Data Using Sample Surveys

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Collecting, Managing, and Assessing Data Using Sample Surveys provides a thorough, step-by-step guide to the design and implementation of surveys. Beginning with a primer on basic statistics, the first half of the book takes readers on a comprehensive tour through the basics of survey design. Topics covered include the ethics of surveys, the design of survey procedures, the design of the survey
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by Abhay Kumar Singh, David Edmund Allen ...

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model ... Read more

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This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model
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Market Liquidity

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by Yakov Amihud, Haim Mendelson, Lasse Heje Pedersen ...

This book presents the theory and evidence on the effect of market liquidity and liquidity risk on asset prices and on overall securities market performance. Illiquidity means incurring a high transaction cost, which includes a large price impact when trading and facing a long time to unload a large position. Liquidity risk is higher if a security becomes more illiquid when it needs to be traded ... Read more

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This book presents the theory and evidence on the effect of market liquidity and liquidity risk on asset prices and on overall securities market performance. Illiquidity means incurring a high transaction cost, which includes a large price impact when trading and facing a long time to unload a large position. Liquidity risk is higher if a security becomes more illiquid when it needs to be traded
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Input-Output Analysis

Introductory Econometrics

Mathematics for Econometrics

Matrix Algebra

Applied Time Series Econometrics

Inference and Intervention

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata

Collecting, Managing, and Assessing Data Using Sample Surveys

R In Finance And Economics: A Beginner's Guide

Market Liquidity

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