Title of article :
Is risingRTSafigmentofpoordata
Author/Authors :
StenHansen، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
12
From page :
378
To page :
389
Abstract :
While usingdetailedfirm-leveldatafromtheprivatebusinesssector,thisstudy identifiestwoempiricalpuzzles:(i)returns-to-scale(RTS)parameterestimatesriseat higherlevelsofdataaggregationand(ii)estimatesfromthefirmlevelsuggest decreasingreturnstoscale.Theanalysisshowsthat,althoughconsistentwithrising estimates,neitherentry/exitnortheBasu–Fernald[ReturnstoscaleinU.S.production: estimatesandimplications.JournalofPoliticalEconomy105,249–283)aggregation- bias effectdrivesthisresult.Rather,risingandtoolowRTSestimatesseemtoreflecta mixtureofrandomerrorsinfactorinputsatthefirmlevel.Itturnsout,infact,thata 7.5–10percenterrorinlabor(hoursworked)canexplainbothpuzzles.
Keywords :
Data aggregationExternal economiesFirm-level dataMonte CarlosimulationRandom errorsReturnstoscale
Journal title :
Journal of Monetary Economics
Serial Year :
2008
Journal title :
Journal of Monetary Economics
Record number :
846300
Link To Document :
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