ECONOMETRIC METHODS WITH APPLICATIONS IN BUSINESS AND ECONOMICS; CHRISTIAAN HEIJ...ET AL

• Real-world text examples and practical exercise questions stimulate active learning and show how econometrics can solve practical questions in modern business and economic management. • Focuses on the core of econometrics, regression, and covers two major advanced topics, choice data with applications in marketing and micro-economics, and time series data with applications in finance and macro-economics. • Learning-support features include concise, manageable sections of text, frequent cross-references to related and background material, summaries, computational schemes, keyword lists, suggested further reading, exercise sets, and online data sets and solutions. • Derivations and theory exercises are clearly marked for students in advanced courses. Nowadays applied work in business and economics requires a solid understanding of econometric methods to support decision-making. Combining a solid exposition of econometric methods with an application-oriented approach, this rigorous textbook provides students with a working understanding and hands-on experience of current econometrics. Taking a "learning by doing" approach, it covers basic econometric methods (statistics, simple and multiple regression, nonlinear regression, maximum likelihood, and generalized method of moments), and addresses the creative process of model building with due attention to diagnostic testing and model improvement. Its last part is devoted to two major application areas: the econometrics of choice data (logit and probit, multinomial and ordered choice, truncated and censored data, and duration data) and the econometrics of time series data (univariate time series, trends, volatility, vector autoregressions, and a brief discussion of SUR models, panel data, and simultaneous equations). This textbook is perfect for advanced undergraduate students, new graduate students, and applied researchers in econometrics, business, and economics, and for researchers in other fields that draw on modern applied econometrics. Nowadays Applied Work In Business And Economics Requires A Solid Understanding Of Econometric Methods To Support Decision-making. Combining A Solid Exposition Of Econometric Methods With An Application-oriented Approach, This Rigorous Textbook Provides Students With A Working Understanding And Hands-on Experience Of Current Econometrics. Taking A 'learning By Doing' Approach, It Covers Basic Econometric Methods (statistics, Simple And Multiple Regression, Nonlinear Regression, Maximum Likelihood, And Generalized Method Of Moments), And Addresses The Creative Process Of Model Building With Due Attention To Diagnostic Testing And Model Improvement. Its Last Part Is Devoted To Two Major Application Areas: The Econometrics Of Choice Data (logit And Probit, Multinomial And Ordered Choice, Truncated And Censored Data, And Duration Data) And The Econometrics Of Time Series Data (univariate Time Series, Trends, Volatility, Vector Autoregressions, And A Brief Discussion Of Sur Models, Panel Data, And Simultaneous Equations). · Real-world Text Examples And Practical Exercise Questions Stimulate Active Learning And Show How Econometrics Can Solve Practical Questions In Modern Business And Economic Management. · Focuses On The Core Of Econometrics, Regression, And Covers Two Major Advanced Topics, Choice Data With Applications In Marketing And Micro-economics, And Time Series Data With Applications In Finance And Macro-economics. · Learning-support Features Include Concise, Manageable Sections Of Text, Frequent Cross-references To Related And Background Material, Summaries, Computational Schemes, Keyword Lists, Suggested Further Reading, Exercise Sets, And Online Data Sets And Solutions. · Derivations And Theory Exercises Are Clearly Marked For Students In Advanced Courses. This Textbook Is Perfect For Advanced Undergraduate Students, New Graduate Students, And Applied Researchers In Econometrics, Business, And Economics, And For Researchers In Other Fields That Draw On Modern Applied Econometrics. This rigorous textbook provides students with a working understanding and hands-on experience of current econometrics. It covers basic econometric methods and addresses the creative process of model building. Using real-world examples and exercises, it focuses on regression and covers choice data and time series data. Perfect for advanced undergraduate students, new graduate students, and applied researchers. - ;Nowadays applied work in business and economics requires a solid understanding of econometric methods to support decision-making. Combining a solid exposition of econometric methods wi Further reading, and keywords -- Exercises -- 4 Non-Linear Methods -- 4.1 Asymptotic analysis -- 4.1.1 Introduction -- 4.1.2 Stochastic regressors -- 4.1.3 Consistency -- 4.1.4 Asymptotic normality -- 4.1.5 Simulation examples -- 4.2 Non-linear regression -- 4.2.1 Motivation -- 4.2.2 Non-linear least squares -- 4.2.3 Non-linear optimization -- 4.2.4 The Lagrange Multiplier test -- 4.2.5 Illustration: Coffee Sales -- 4.3 Maximum likelihood -- 4.3.1 Motivation -- 4.3.2 Maximum likelihood estimation -- 4.3.3 Asymptotic properties -- 4.3.4 The Likelihood Ratio test -- 4.3.5 The Wald test

Applied work in business and economics often require a solid understanding of econometric methods to support decision making. This book provides this, encouraging an active engagement with these methods by means of examples and exercises, so that the student develops a working understanding and hands-on experience with current day econometrics.

Covering basic econometric methods, this book explains their practical applications in modern business and economics and provides examples of these