LeSage J.P. Applied Econometrics using MATLAB (1999)(en)(333s)

LeSage J.P. Applied Econometrics using MATLAB (1999)(en)(333s)

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页数:348页

时间:2019-03-07

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1、AppliedEconometricsusingMATLABJamesP.LeSageDepartmentofEconomicsUniversityofToledoOctober,1999PrefaceThistextdescribesasetofMATLABfunctionsthatimplementahostofeconometricestimationmethods.ToolboxesarethenamegivenbytheMathWorkstorelatedsetsofMATLABfunctionsaimedatsolving

2、apar-ticularclassofproblems.Toolboxesoffunctionsusefulinsignalprocessing,optimization,statistics,¯nanceandahostofotherareasareavailablefromtheMathWorksasadd-onstothestandardMATLABsoftwaredistribution.IusethetermEconometricsToolboxtorefertothecollectionoffunctionlibrarie

3、sdescribedinthisbook.Theintendedaudienceisfacultyandstudentsusingstatisticalmethods,whethertheyareengagedineconometricanalysisormoregeneralregressionmodeling.TheMATLABfunctionsdescribedinthisbookhavebeenusedinmyownresearchaswellasteachingbothundergraduateandgraduateecon

4、ometricscourses.ResearcherscurrentlyusingGauss,RATS,TSP,orSAS/IMLforeconometricprogrammingmight¯ndswitchingtoMATLABadvantageous.MATLABsoftwarehasalwayshadexcellentnumericalalgo-rithms,andhasrecentlybeenextendedtoinclude:sparsematrixalgorithms,verygoodgraphicalcapabiliti

5、es,andacompletesetofobjectorientedandgraphicaluser-interfaceprogrammingtools.MATLABsoftwareisavailableonawidevarietyofcomputingplatformsincludingmainframe,Intel,Apple,andLinuxorUnixworkstations.Whencontemplatingachangeinsoftware,thereisalwaystheinitialinvestmentindevelo

6、pingasetofbasicroutinesandfunctionstosupporteconometricanalysis.ItismyhopethattheroutinesintheEconometricsToolboxprovidearelativelycompletesetofbasiceconometricanalysistools.ThetoolboxalsoincludesanumberoffunctionstomimicthoseavailableinGauss,whichshouldmakeconvertingex

7、istingGaussfunctionsandap-plicationseasier.Forthoseinvolvedinvectorautoregressivemodeling,acompletesetofestimationandforecastingroutinesisavailablethatimple-mentawidervarietyoftheseestimationmethodsthanRATSsoftware.Forexample,BayesianMarkovChainMonteCarlo(MCMC)estimatio

8、nofVARiiimodelsthatrobustifyagainstoutliersandaccommodateheteroscedasticdis-turbanceshavebeenimplemented.Inadd

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