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Full Description
An Introductory Econometrics Text
Mathematical Statistics for Applied Econometrics covers the basics of statistical inference in support of a subsequent course on classical econometrics. The book shows students how mathematical statistics concepts form the basis of econometric formulations. It also helps them think about statistics as more than a toolbox of techniques.
Uses Computer Systems to Simplify Computation
The text explores the unifying themes involved in quantifying sample information to make inferences. After developing the necessary probability theory, it presents the concepts of estimation, such as convergence, point estimators, confidence intervals, and hypothesis tests. The text then shifts from a general development of mathematical statistics to focus on applications particularly popular in economics. It delves into matrix analysis, linear models, and nonlinear econometric techniques.
Students Understand the Reasons for the Results
Avoiding a cookbook approach to econometrics, this textbook develops students' theoretical understanding of statistical tools and econometric applications. It provides them with the foundation for further econometric studies.
Contents
DEFINING RANDOM VARIABLES: Introduction to Statistics, Probability and Econometrics. Random Variables and Probability Distributions. Moments and Moment Generating Functions. Binomial and Normal Random Variables. ESTIMATION: Large Sample Theory. Point Estimation. Interval Estimation. Testing Hypothesis. ECONOMETRIC APPLICATIONS: Elements of Matrix Analysis. Regression Applications in Econometrics. Notes. Bibliography. Index.
