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008 060328s2007 caua b 001 0 eng
010 _a 2006010016
020 _a1412906563 (pbk.)
020 _a9781412906562
035 _a(OCoLC)ocm65341030
035 _a(OCoLC)65341030
040 _aDLC
_cDLC
_dBAKER
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_dC#P
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042 _apcc
050 0 0 _aHA30.3
_b.B73 2007
082 0 0 _a519.55 BRA W
_223
100 1 _aBrandt, Patrick T.
245 1 0 _aMultiple time series models /
_cPatrick T. Brandt, John T. Williams.
260 _aThousand Oaks, Calif. :
_bSage Publications,
_cc2007.
300 _axiii, 99 p. :
_bill. ;
_c22 cm.
490 1 _aQuantitative applications in the social sciences ;
_v148
504 _aIncludes bibliographical references (p. 92-95) and index.
505 _aList of Figures List of Tables Series Editor?s Introduction Preface 1. Introduction to Multiple Time Series Models 1.1 Simultaneous Equation Approach 1.2 ARIMA Approach 1.3 Error Correction or LSE Approach 1.4 Vector Autoregression Approach 1.5 Comparison and Summary 2. Basic Vector Autoregression Models 2.1 Dynamic Structural Equation Models 2.2 Reduced Form Vector Autoregressions 2.3 Relationship of a Dynamic Structural Equation Model to a Vector Autoregression Model 2.4 Working With This Model 2.5 Specification and Analysis of VAR Models 2.6 Other Specification Issues 2.7 Unit Roots and Error Correction in VARs 2.8 Criticisms of VAR 3. Examples of VAR Analyses 3.1 Public Mood and Macropartisanship 3.2 Effective Corporate Tax Rates 3.3 Conclusion Appendix: Software for Multiple Time Series Models Notes References Index About the Authors
650 0 _aTime-series analysis
_xMathematical models.
700 1 _aWilliams, John T.
_q(John Taylor),
_d1958-
830 0 _aSage university papers series.
_pQuantitative applications in the social sciences ;
_vno. 07-148.
856 4 1 _3Table of contents only
_uhttp://www.loc.gov/catdir/toc/ecip0611/2006010016.html
856 4 2 _3Publisher description
_uhttp://www.loc.gov/catdir/enhancements/fy0660/2006010016-d.html
856 4 2 _3Contributor biographical information
_uhttp://www.loc.gov/catdir/enhancements/fy0739/2006010016-b.html
906 _a7
_bcbc
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