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  • Sách/Book

  • Data Science for Financial Econometrics

    • Authors: Nguyen Ngoc Thach (2021)

  • This book offers an overview of state-of-the-art econometric techniques, with a special emphasis on financial econometrics. There is a major need for such techniques, since the traditional way of designing mathematical models - based on researchers' insights - can no longer keep pace with the ever-increasing data flow.
  • Sách/Book

  • Macroeconomics

    • Authors: McConnell, Campbell (2020)

  • This product’s modern approach makes learning and applying economics easier for instructors and students alike. From real-life examples to cutting-edge learning resources McConnell offers a student-centered learning environment that presents the subject matter in new and engaging ways. For instructors a fully supportive teaching package does the heavy lifting so you can focus on what you love.
  • Sách/Book

  • Econometrics : Theory and Applications with EViews

    • Authors: Vogelvang, Ben (2005)

  • The author combines econometric theory with practice by demonstrating its use with the software package EViews through extensive use of screen shots. The emphasis is on understanding how to select the right method of analysis for a given situation, and how to actually apply the theoretical methodology correctly.
  • Sách/Book

  • Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas : In Honor of Hung T. Nguyen's 75th Birthday

    • Authors: Kreinovich, Vladik (2021)

  • Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to econometrics and other areas. Processing uncertainty is essential, considering that computers - which help us understand real-life processes and make better decisions based on that understanding - get their information from measurements or from expert estimates, neither of which is ever 100% accurate. Measurement uncertainty is usually described using probabilistic techniques, while uncertainty in expert estimates is often described using fuzzy techniques
  • Sách/Book

  • Matrix differential calculus with applications in statistics and econometrics

    • Authors: Magnus, Jan R (1999)

  • Matrix Differential Calculus With Applications in Statistics and Econometrics Revised Edition Jan R. Magnus, CentER, Tilburg University, The Netherlands and Heinz Neudecker, Cesaro, Schagen, The Netherlands " .deals rigorously with many of the problems that have bedevilled the subject up to the present time." -- Stephen Pollock, Econometric Theory "I continued to be pleasantly surprised by the variety and usefulness of its contents " -- Isabella Verdinelli, Journal of the American Statistical Association Continuing the success of their first edition, Magnus and Neudecker present an exhaustive and self--contained revised text on matrix theory and matrix differential calculus
  • Sách/Book

  • Advanced Macroeconomics: An Easy Guide

    • Authors: Campante, Filipe (2021)

  • It introduces the tools of dynamic optimization in the context of economic growth, and then applies them to a wide range of policy questions - ranging from pensions, consumption, investment and finance, to the most recent developments in fiscal and monetary policy. It does so with the requisite rigor, but also with a light touch, and an unyielding focus on their application to policy-making, as befits the authors' own practical experience
  • Sách/Book

  • Macroeconomics

    • Authors: Parkin, Michael (2012)

  • From our global food shortage to global warming, economic issues permeate our everyday lives. Parkin brings critical issues to the forefront. Each chapter begins with one of today's key issues, and additional issues appear throughout the chapter to show the real-world applications of the theory being discussed. When the chapter concludes, students "read between the lines" to think critically about a news article relating to the issue, demonstrating how thinking like an economist helps make informed decisions.
  • Sách/Book

  • A primer for spatial econometrics : with applications in R

    • Authors: Arbia, Giuseppe (2014)

  • This book aims at meeting the growing demand in the field by introducing the basic spatial econometrics methodologies to a wide variety of researchers. It provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and interprets empirical results.
  • Sách/Book

  • Foundations of Macroeconomics Robin Bade

    • Authors: Bade, Robin (2019)

  • To help students focus on the most important concepts-and effectively practice application of those concepts-Foundations of Macroeconomics is structured around a Checklist/Checkpoint system. The result is a patient, confidence-building program that prepares students to use economics in their everyday lives, regardless of what their future career will be.
  • Sách/Book

  • Macroeconomics

    • Authors: Blanchard, Olivier (2020)

  • In Macroeconomics, Blanchard presents an integrated, global view of macroeconomics, enabling students to see the connections between goods markets, financial markets, and labor markets worldwide. Organised into two parts, the text contains a core section that focuses on short-, medium-, and long-run markets and two major extensions that offer more in-depth coverage of the issues at hand