MARC Bibliographic Record

LEADER02277nam a2200385Ki 4500
001 991022161912802122
005 20170120014711.0
006 m o d
007 cr |||||||||||
008 161228s2016 maua ob 000 0 eng d
035    $a(OCoLC)967288221
035    $a(OCoLC)ocn967288221
035    $a(EXLNZ-01UWI_NETWORK)9912284818802121
040    $aGZM$beng$erda$cGZM
049    $aGZMA
090    $aH11$b.N2434x no.22973
100 1_ $aDe Quidt, Jonathan,$d1986-$eauthor.
245 10 $aDepression for economists /$cJonathan de Quidt, Johannes Haushofer.
264 _1 $aCambridge, Mass. :$bNational Bureau of Economic Research,$c2016.
300    $a1 online resource (44 pages) :$billustrations.
336    $atext$btxt$2rdacontent
337    $acomputer$bc$2rdamedia
338    $aonline resource$bcr$2rdacarrier
490 1_ $aNBER working paper series ;$vno. 22973
588    $aDescription based on online resource; title from http://www.nber.org/papers/w22973 viewed December 28, 2016.
500    $a"December 2016"
504    $aIncludes bibliographical references (pages 26-30).
520    $aMajor depressive disorder (MDD) is one of the most prevalent mental illnesses worldwide. Existing evidence suggests that it has both economic causes and consequences, such as unemployment. However, depression has not received significant attention in the economics literature. In this paper, we present a simple model which predicts the core symptoms of depression from economic primitives, i.e. beliefs. Specifically, we show that when exogenous shocks cause an agent to have pessimistic beliefs about the returns to her effort, this agent will exhibit depressive symptoms such undereating or overeating, insomnia or hypersomnia, and a decrease in labor supply. When these effects are strong enough, they can generate a poverty trap. We present descriptive evidence that illustrates the predicted relationships.
650 _0 $aDepression, Mental$xEconomic aspects.
650 _0 $aDepression, Mental$xSocial aspects.
650 _0 $aDepressed persons$xEmployment.
700 1_ $aHaushofer, Johannes,$eauthor.
710 2_ $aNational Bureau of Economic Research,$epublisher.
830 _0 $aWorking paper series (National Bureau of Economic Research) ;$vno. 22973.
856 40 $uhttp://www.nber.org/papers/w22973

MMS IDs

Document ID: 9912284818802121
Network Electronic IDs: 9912284818802121
Network Physical IDs:
mms_mad_ids: 991022161912802122