Using SAS for Econometrics
By: Hill, R. Carter | Campbell, Randall C.
Material type: BookPublisher: San Francisco et al., Jossey-Bass Publisher,s 2012Description: 590 pages.ISBN: 978-1-11-803209-1.Subject(s): SAS | statistics | social sciences | software | regression models | time-series | panel data modelsGenre/Form: textbookOnline resources: Author's website / data files | Publisher's website Summary: A supplement such as Using SAS for Econometrics is quite essential for use in a classroom environment, for those attempting to learn SAS, and for quick and useful reference. The SAS documentation comes in many volumes, and several are thousands of pages long. This makes for a very difficult challenge when getting started with SAS. This volume spans several levels of econometrics. It is suitable for undergraduate students who will use “canned” SAS statistical procedures, and for graduate students who will use advanced procedures as well as direct programming in SAS’s matrix language, discussed in chapter appendices. Material within the chapters is accessible to undergraduate and/or Masters students, with appendices to chapters devoted to more advanced materials and matrix programming.Item type | Current location | Call number | Status | Date due | Barcode |
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Monography | Library | C5 26 (Browse shelf) | Available | 130554 |
A supplement such as Using SAS for Econometrics is quite essential for use in a classroom environment, for those attempting to learn SAS, and for quick and useful reference. The SAS documentation comes in many volumes, and several are thousands of pages long. This makes for a very difficult challenge when getting started with SAS. This volume spans several levels of econometrics. It is suitable for undergraduate students who will use “canned” SAS statistical procedures, and for graduate students who will use advanced procedures as well as direct programming in SAS’s matrix language, discussed in chapter appendices. Material within the chapters is accessible to undergraduate and/or Masters students, with appendices to chapters devoted to more advanced materials and matrix programming.
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