Econometrics and economic statistics

This textbook is a comprehensive guide to machine learning and artificial intelligence tailored for students in business and economics.

A User's Guide to Business Analytics provides a comprehensive discussion of statistical methods useful to the business analyst.

Studies in Consumer Demand - Econometric Methods Applied to Market Data contains eight previously unpublished studies of consumer demand.

This book offers a one-stop resource for performing quantitative risk analyses.

We live in a time of economic virtualism, whereby our lives are made to conform to the virtual reality of economic thought.

This accessible and engaging textbook provides an introduction to the equations that have defined economics and shaped the global economy.

`This most commendable volume brings together a set of papers which permits ready access to the means of estimating quantitative relationships using cointegration and error correction procedures.

Microsimulation Modelling involves the application of simulation methods to micro data for the purposes of evaluating the effectiveness and improving the design of public policy.

This book harbors an updated and standard material on the various aspects of Econometrics.

Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research as well as forecasting and policy analysis at central banks.

This book is an introductory exposition of different topics that emerged in the literature as unifying themes between two fields of econometrics of time series, namely nonlinearity and nonstationarity.

This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students.

Based on economic knowledge and logical reasoning, this book proposes a solution to economic recessions and offers a route for societal change to end capitalism.

Calculus for Business and Economics: An Example-Based Introduction is designed for first-year university students specializing in business and economics.

This book applies the multidisciplinary approaches of econometrics, statistics, finance and artificial intelligence for pricing and forecasting the carbon market in the context of managerial issues.

Global econometric models have a long history.

Advanced and Multivariate Statistical Methods, Seventh Edition provides conceptual and practical information regarding multivariate statistical techniques to students who do not necessarily need technical and/or mathematical expertise in these methods.

The author evaluates the evidence, or lack thereof, supporting claims in many fields, with special emphasis in education.

Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic.

Using Stata for Quantitative Analysis offers a brief but thorough introduction to analyzing data in undergraduate and graduate level research methods, statistics, and data analysis courses using Stata software.

This volume examines the changing pattern of trade in manufactured goods by the use of econometric techniques.

Providing a practical introduction to state space methods as applied to unobserved components time series models, also known as structural time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods.

Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years.

a multi-disciplinary 2007 book on network theory for graduate students and researchers in sociology and econophysics.

The seventh volume in the SemStat series, Statistical Methods for Stochastic Differential Equations presents current research trends and recent developments in statistical methods for stochastic differential equations.

This second edition sees the light three years after the first one: too short a time to feel seriously concerned to redesign the entire book, but sufficient to be challenged by the prospect of sharpening our investigation on the working of econometric dynamic models and to be inclined to change the title of the new edition by dropping the "e;Topics in"e; of the former edition.

Does game theory - the mathematical theory of strategic interaction - provide genuine explanations of human behaviour?

Handbook of Field Experiments provides tactics on how to conduct experimental research, also presenting a comprehensive catalog on new results from research and areas that remain to be explored.

Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility provides insight to better understand volatility in various stock markets.

Economic integration in general and Eastern enlargement of the European Union in particular created a wider European single market, thereby stimulating structural adjustment and economic specialization.

This book extends Thirlwall's model and adapts its implications to the current problems facing developed and emerging economies.

This book focuses on quantitative survey methodology, data collection and cleaning methods.

Computationally-intensive tools play an increasingly important role in financial decisions.

Controller:innen und Risikomanager:innen müssen in einem komplexen Unternehmensumfeld Handlungsalternativen mittels stochastischer Methoden und Simulationsverfahren analysieren können.

This volume uses state of the art models from the frontier of macroeconomics to answer key questions about how the economy functions and how policy should be conducted.

Information is very important for businesses.

En este libro se presenta el contenido de un curso de Econometría para estudiantes de las licenciaturas en Ciencias Económicas y Empresariales.

This book studies the information spillover among financial markets and explores the intraday effect and ACD models with high frequency data.

Economic forecasting is a key ingredient of decision making both in the public and in the private sector.

This volume presents new methods and applications in longitudinal data estimation methodology in applied economic.

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems.

Discover the secrets to applying simple econometric techniques to improve forecasting Equipping analysts, practitioners, and graduate students with a statistical framework to make effective decisions based on the application of simple economic and statistical methods, Economic and Business Forecasting offers a comprehensive and practical approach to quantifying and accurate forecasting of key variables.

"e;Getting Started with a SIMPLIS Approach"e; is particularly appropriate for those users who are not experts in statistics, but have a basic understanding of multivariate analysis that would allow them to use this handbook as a good first foray into LISREL.

The collection of chapters in Volume 43 Part B of Advances in Econometrics serves as a tribute to Professor M.

An accessible treatment of important formal models of domestic politics, fully updated and now including a chapter on nondemocracy.

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis.

Dieses Lehr- und Übungsbuch richtet sich an alle Studierenden, die das Fach Statistik im Studienplan haben.

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