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Estimates of New Keynesian Phillips Curve: Observations Based on the case of Korea : 뉴 케인지안 필립스 곡선의 추정: 한국의 동향 분석

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dc.contributor.advisor이재원-
dc.contributor.authorHyunji Song-
dc.date.accessioned2017-07-19T12:38:48Z-
dc.date.available2017-07-19T12:38:48Z-
dc.date.issued2016-02-
dc.identifier.other000000132057-
dc.identifier.urihttps://hdl.handle.net/10371/134688-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 경제학부 경제학전공, 2016. 2. 이재원.-
dc.description.abstractRecently, an apparent flattening of New Keyneisan Phillips Curve (NKPC) has been indicated not only in the United States but also in many other small open economy countries including Canada, New zealand, U.K, and Korea. The implications of such phenomenon concedes the costs of trade-offs between the inflation and output gap variability, in which inflation has become less responsive to the variability of domestic macroeconomic activities. This paper's main objective is to discover some of evidences and conceivable explanations behind this structural flattening of New Keynesian Phillips Curve in Korea. We estimate a dynamic stochastic general equilibrium(DSGE) model of a small open economy to investigate such changes by employing Bayesian estimation methodology. Using data for Korea, we find that the flattening of New Keynesian Phillips Curve has become evident, however-
dc.description.abstractthe slope of New Keynesian Phillips Curve does not seem monotonically decreasing when it comes to the rolling window estimation analysis. We consider various reasons for this structural flattening including problems with data and estimation methodology and finally implement few robustness checks.-
dc.description.tableofcontents1. Introduction 3

2. Description of the model 4
2.1 A structural small open economy model 4

3. Estimation strategy 6
3.1 Econometric methodology 6
3.2 Description of Data 8
3.3 Choice of Prior 9

4. Estimation results 11
4.1 Has the New Keynesian Phillips Curve become flatter in Korea 12
4.2 Iterative and Rolling Estimation Results 15
4.2.1 Iterative methods for the parameter estimation 15
4.2.2 Rolling estimation analysis 16
4.3 Variance Decomposition 18
4.4 Impulse Response Function 19

5. Robustness 21
5.1 Alternative Prior 22
5.2 Data exclusion 24

6. Concluding Remarks 25

References 26

국문초록 29
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dc.formatapplication/pdf-
dc.format.extent60320503 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectSmall open economy model-
dc.subjectNew Keynesian Phillip Curve-
dc.subjectStructural Estimation-
dc.subjectBayesian analysis-
dc.subjectMCMC-
dc.subject.ddc330-
dc.titleEstimates of New Keynesian Phillips Curve: Observations Based on the case of Korea-
dc.title.alternative뉴 케인지안 필립스 곡선의 추정: 한국의 동향 분석-
dc.typeThesis-
dc.description.degreeMaster-
dc.citation.pages29-
dc.contributor.affiliation사회과학대학 경제학부-
dc.date.awarded2016-02-
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