This chapter discusses two alternative approaches to the analysis of economic data, which is time series and the classical econometric approaches. The time series approach is based on experience from many fields, but that of the econometrician has been viewed as applicable only to economic data...

At the outset, it is useful to distinguish Monte Carlo methods from distribution sampling even though their application in econometrics may seem rather similar. The former is a general approach whereby mathematical problems of an analytical nature, which prove technically intractable, can be...

The use of increasingly complex statistical models has led to heavy reliance on maximum likelihood methods for both estimation and testing. In such a setting, only asymptotic properties can be expected for estimators or tests. Often there are asymptotically equivalent procedures that differ...

Roots of Computational Statistics -- Computational Statistics in Random Processes -- Computational Aspects of Robustness -- Computational Graphics in Statistical Data Analysis -- Various Statistical and Data Analytic Methods -- Numerical Aspects and Complexity of Statistical Algorithms -- Linear...

The Handbook is a definitive reference source and teaching aid for econometricians. It examines models, estimation theory, data analysis and field applications in econometrics. Comprehensive surveys, written by experts, discuss recent developments at a level suitable for professional use by...