000891059 000__ 03774cam\a2200505Ii\4500
000891059 001__ 891059
000891059 005__ 20230306150032.0
000891059 006__ m\\\\\o\\d\\\\\\\\
000891059 007__ cr\cn\nnnunnun
000891059 008__ 161117s2017\\\\gw\a\\\\obm\\\000\0\eng\d
000891059 019__ $$a959880413$$a961350496$$a978974110$$a982376240$$a985768038$$a986136135$$a986392700$$a988082869$$a988808348$$a990764811$$a995511246
000891059 020__ $$a9783658156398$$q(electronic book)
000891059 020__ $$a3658156392$$q(electronic book)
000891059 020__ $$z9783658156381
000891059 020__ $$z3658156384
000891059 0247_ $$a10.1007/978-3-658-15639-8$$2doi
000891059 035__ $$aSP(OCoLC)ocn963357796
000891059 035__ $$aSP(OCoLC)963357796$$z(OCoLC)959880413$$z(OCoLC)961350496$$z(OCoLC)978974110$$z(OCoLC)982376240$$z(OCoLC)985768038$$z(OCoLC)986136135$$z(OCoLC)986392700$$z(OCoLC)988082869$$z(OCoLC)988808348$$z(OCoLC)990764811$$z(OCoLC)995511246
000891059 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dOCLCO$$dUPM$$dOCLCF$$dIDEBK$$dAZU$$dCCO$$dN$T$$dZ5A$$dOCL$$dOCLCQ$$dKSU$$dVT2$$dINT$$dOCLCQ$$dFIE$$dGW5XE
000891059 049__ $$aISEA
000891059 050_4 $$aHB99.7$$b.K73 2017
000891059 08204 $$a330.15/6$$223
000891059 1001_ $$aKranz, Tobias,$$eauthor.
000891059 24510 $$aPersistent stochastic shocks in a new Keynesian model with uncertainty /$$cTobias Kranz.
000891059 264_1 $$aWiesbaden, Germany :$$bSpringer Gabler,$$c[2017]
000891059 264_4 $$c©2017
000891059 300__ $$a1 online resource (xiii, 72 pages) :$$billustrations.
000891059 336__ $$atext$$btxt$$2rdacontent
000891059 337__ $$acomputer$$bc$$2rdamedia
000891059 338__ $$aonline resource$$bcr$$2rdacarrier
000891059 4901_ $$aBestMasters
000891059 504__ $$aIncludes bibliographical references.
000891059 5050_ $$aHistorical recapitulation of DSGE Modeling -- Derivation of a basic New Keynesian Model -- Augmentation with persistent shocks and uncertainty -- Comparative statics and a wide range of numerical simulations -- Mathematical concepts and background information in the appendix.
000891059 506__ $$aAccess limited to authorized users.
000891059 520__ $$aThe book introduces the New Keynesian framework, historically through a literature overview and through a step-by-step derivation of a New Keynesian Phillips curve, an intertemporal IS curve, and a targeting rule for the central bank. This basic version is then expanded by introducing cost and demand shocks and uncertainty. The latter enters the model via second order Taylor approximation instead of linearization. Bringing all equations together results in an equilibrium condition which is simulated with a wide range of parameter values, including possible crisis scenarios. The author finds that accounting for uncertainty -- regarding growth and inflation expectations -- can lead to lower nominal interest rates set by the central bank. Contents · Historical recapitulation of DSGE Modeling · Derivation of a basic New Keynesian Model · Augmentation with persistent shocks and uncertainty · Comparative statics and a wide range of numerical simulations · Mathematical concepts and background information in the appendix Target Groups · Researchers and graduate students in macroeconomics and monetary policy · Managers and practitioners in the fields of monetary economics The Author Tobias Kranz obtained his Master of Science degree in Economics at the University of Trier in 2015. He has been working as postgraduate at the chair of Empirical Economics (University of Trier) since 2016.
000891059 588__ $$aOnline resource; title from PDF title page (viewed March 28, 2017).
000891059 650_0 $$aKeynesian economics$$xMathematical models.
000891059 650_0 $$aUncertainty$$xMathematical models.
000891059 655_7 $$aAcademic theses.$$2lcgft
000891059 77618 $$w(OCoLC)957133802
000891059 830_0 $$aBestMasters.
000891059 85280 $$bebk$$hSpringerLink
000891059 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-658-15639-8$$zOnline Access$$91397441.1
000891059 909CO $$ooai:library.usi.edu:891059$$pGLOBAL_SET
000891059 980__ $$aEBOOK
000891059 980__ $$aBIB
000891059 982__ $$aEbook
000891059 983__ $$aOnline
000891059 994__ $$a92$$bISE