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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-015.mrc:127190986:2615
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-015.mrc:127190986:2615?format=raw

LEADER: 02615cam a2200409Ia 4500
001 7355714
005 20221130233022.0
008 081223t20092009txua b 001 0 eng d
020 $a9781597180481
020 $a1597180483
024 $a99935840005
035 $a(OCoLC)291098293
035 $a(OCoLC)ocn291098293
035 $a(NNC)7355714
035 $a7355714
040 $aDJB$cDJB$dYDXCP$dCDX$dIXA$dGZM$dBWX$dUBA$dNLGGC$dOrLoB-B
050 4 $aHB139$b.C36 2009
082 04 $a330.015195$222
084 $a83.03$2bcl
100 1 $aCameron, Adrian Colin.
245 10 $aMicroeconometrics using Stata /$cA. Colin Cameron, Pravin K. Trivedi.
260 $aCollege Station, Tex. :$bStata Press,$c[2009], ©2009.
300 $axl, 692 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references (p. [665]-672) and indexes.
505 00 $g1.$tStata basics -- $g2.$tData management and graphics -- $g3.$tLinear regression basics -- $g4.$tSimulation -- $g5.$tGLS regression -- $g6.$tLinear instrumental-variables regression -- $g7.$tQuantile regression -- $g8.$tLinear panel-data models: Basics -- $g9.$tLinear panel-data models: Extensions -- $g10.$tNonlinear regression methods -- $g11.$tNonlinear optimization methods -- $g12.$tTesting methods -- $g13.$tBootstrap methods -- $g14.$tBinary outcome models -- $g15.$tMultinomial models -- $g16.$tTobit and selection models -- $g17.$tCount-data models -- $g18.$tNonlinear panel models -- $gA.$tProgramming in Stata -- $gB.$tMata.
520 1 $a"Aimed at both students and researchers of economics and related social sciences, Microeconometrics Using Stata provides the most complete and up-to-date survey of microeconometric methods available in Stata, including linear regression, simulation, instrumental-variables estimation, quantile regression, random- and fixed-effects models, linear mixed models, analytical and bootstrap inference, and nonlinear models for binary, multinomial, censored, and count outcomes for both cross-sectional and panel datasets."--BOOK JACKET.
650 0 $aMicroeconomics$xEconometric models.
650 0 $aEconometrics$xComputer programs.$0http://id.loc.gov/authorities/subjects/sh85040765
630 00 $aStata.$0http://id.loc.gov/authorities/names/n88156843
650 7 $aMicroeconomia.$2larpcal
650 7 $aEconometria.$2larpcal
650 17 $aMicro-economie.$2gtt
650 17 $aEconometrische modellen.$2gtt
700 1 $aTrivedi, P. K.$0http://id.loc.gov/authorities/names/n85229090
852 00 $boff,bus$hHB139$i.C36 2009g