Autoregression-based estimation of the new Keynesian Phillips curve
We propose an estimation method of the new Keynesian Phillips curve (NKPC) based on a univariate noncausal autoregressive model for the inflation rate. By construction, our approach avoids a number of problems related to the GMM estimation of the NKPC. We estimate the hybrid NKPC with quarterly U.S....
Gespeichert in:
Veröffentlicht in: | Journal of economic dynamics & control 2013-03, Vol.37 (3), p.561-570 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 570 |
---|---|
container_issue | 3 |
container_start_page | 561 |
container_title | Journal of economic dynamics & control |
container_volume | 37 |
creator | Lanne, Markku Luoto, Jani |
description | We propose an estimation method of the new Keynesian Phillips curve (NKPC) based on a univariate noncausal autoregressive model for the inflation rate. By construction, our approach avoids a number of problems related to the GMM estimation of the NKPC. We estimate the hybrid NKPC with quarterly U.S. data (1955:1–2010:3), and both expected future inflation and lagged inflation are found important in determining the inflation rate, with the former clearly dominating. Moreover, inflation persistence turns out to be intrinsic rather than inherited from a persistent driving process. |
doi_str_mv | 10.1016/j.jedc.2012.09.008 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1282144734</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0165188912001923</els_id><sourcerecordid>2876548531</sourcerecordid><originalsourceid>FETCH-LOGICAL-c405t-a693689409b2e2182383afe72768210acd8ef4d4499b30a3218dab6012983c8e3</originalsourceid><addsrcrecordid>eNp9kEtPwzAQhC0EEqXwBzhZ4pywfiSxJS5VxUtUggOcLcfZUEclKXZS1H-Pq3LmtNJqZnbnI-SaQc6Albdd3mHjcg6M56BzAHVCZkxVOmOVFKdklkRFxpTS5-Qixg4ACl6wGVkupnEI-BkwRj_0WW0jNhTj6L_smBZ0aOm4RtrjD33BfY_R256-rf1m47eRuins8JKctXYT8epvzsnHw_378ilbvT4-LxerzEkoxsyWWpRKS9A1R84UF0rYFitelYozsK5R2MpGSq1rAVYkSWPrMlXSSjiFYk5ujrnbMHxP6UfTDVPo00nDeIqQshIyqfhR5cIQY8DWbEMqE_aGgTnAMp05wDIHWAa0SbCS6e5owvT_zmMw0XnsHTY-oBtNM_j_7L-Df3GO</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1282144734</pqid></control><display><type>article</type><title>Autoregression-based estimation of the new Keynesian Phillips curve</title><source>Elsevier ScienceDirect Journals</source><creator>Lanne, Markku ; Luoto, Jani</creator><creatorcontrib>Lanne, Markku ; Luoto, Jani</creatorcontrib><description>We propose an estimation method of the new Keynesian Phillips curve (NKPC) based on a univariate noncausal autoregressive model for the inflation rate. By construction, our approach avoids a number of problems related to the GMM estimation of the NKPC. We estimate the hybrid NKPC with quarterly U.S. data (1955:1–2010:3), and both expected future inflation and lagged inflation are found important in determining the inflation rate, with the former clearly dominating. Moreover, inflation persistence turns out to be intrinsic rather than inherited from a persistent driving process.</description><identifier>ISSN: 0165-1889</identifier><identifier>EISSN: 1879-1743</identifier><identifier>DOI: 10.1016/j.jedc.2012.09.008</identifier><identifier>CODEN: JEDCDH</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Economic models ; Estimating techniques ; Generalized method of moments ; Inflation ; Keynesian theory ; Non-Gaussian time series ; Noncausal time series ; Phillips curve ; Studies</subject><ispartof>Journal of economic dynamics & control, 2013-03, Vol.37 (3), p.561-570</ispartof><rights>2012 Elsevier B.V.</rights><rights>Copyright Elsevier Sequoia S.A. Mar 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-a693689409b2e2182383afe72768210acd8ef4d4499b30a3218dab6012983c8e3</citedby><cites>FETCH-LOGICAL-c405t-a693689409b2e2182383afe72768210acd8ef4d4499b30a3218dab6012983c8e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0165188912001923$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Lanne, Markku</creatorcontrib><creatorcontrib>Luoto, Jani</creatorcontrib><title>Autoregression-based estimation of the new Keynesian Phillips curve</title><title>Journal of economic dynamics & control</title><description>We propose an estimation method of the new Keynesian Phillips curve (NKPC) based on a univariate noncausal autoregressive model for the inflation rate. By construction, our approach avoids a number of problems related to the GMM estimation of the NKPC. We estimate the hybrid NKPC with quarterly U.S. data (1955:1–2010:3), and both expected future inflation and lagged inflation are found important in determining the inflation rate, with the former clearly dominating. Moreover, inflation persistence turns out to be intrinsic rather than inherited from a persistent driving process.</description><subject>Economic models</subject><subject>Estimating techniques</subject><subject>Generalized method of moments</subject><subject>Inflation</subject><subject>Keynesian theory</subject><subject>Non-Gaussian time series</subject><subject>Noncausal time series</subject><subject>Phillips curve</subject><subject>Studies</subject><issn>0165-1889</issn><issn>1879-1743</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kEtPwzAQhC0EEqXwBzhZ4pywfiSxJS5VxUtUggOcLcfZUEclKXZS1H-Pq3LmtNJqZnbnI-SaQc6Albdd3mHjcg6M56BzAHVCZkxVOmOVFKdklkRFxpTS5-Qixg4ACl6wGVkupnEI-BkwRj_0WW0jNhTj6L_smBZ0aOm4RtrjD33BfY_R256-rf1m47eRuins8JKctXYT8epvzsnHw_378ilbvT4-LxerzEkoxsyWWpRKS9A1R84UF0rYFitelYozsK5R2MpGSq1rAVYkSWPrMlXSSjiFYk5ujrnbMHxP6UfTDVPo00nDeIqQshIyqfhR5cIQY8DWbEMqE_aGgTnAMp05wDIHWAa0SbCS6e5owvT_zmMw0XnsHTY-oBtNM_j_7L-Df3GO</recordid><startdate>201303</startdate><enddate>201303</enddate><creator>Lanne, Markku</creator><creator>Luoto, Jani</creator><general>Elsevier B.V</general><general>Elsevier Sequoia S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>201303</creationdate><title>Autoregression-based estimation of the new Keynesian Phillips curve</title><author>Lanne, Markku ; Luoto, Jani</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-a693689409b2e2182383afe72768210acd8ef4d4499b30a3218dab6012983c8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Economic models</topic><topic>Estimating techniques</topic><topic>Generalized method of moments</topic><topic>Inflation</topic><topic>Keynesian theory</topic><topic>Non-Gaussian time series</topic><topic>Noncausal time series</topic><topic>Phillips curve</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lanne, Markku</creatorcontrib><creatorcontrib>Luoto, Jani</creatorcontrib><collection>CrossRef</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Journal of economic dynamics & control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lanne, Markku</au><au>Luoto, Jani</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Autoregression-based estimation of the new Keynesian Phillips curve</atitle><jtitle>Journal of economic dynamics & control</jtitle><date>2013-03</date><risdate>2013</risdate><volume>37</volume><issue>3</issue><spage>561</spage><epage>570</epage><pages>561-570</pages><issn>0165-1889</issn><eissn>1879-1743</eissn><coden>JEDCDH</coden><abstract>We propose an estimation method of the new Keynesian Phillips curve (NKPC) based on a univariate noncausal autoregressive model for the inflation rate. By construction, our approach avoids a number of problems related to the GMM estimation of the NKPC. We estimate the hybrid NKPC with quarterly U.S. data (1955:1–2010:3), and both expected future inflation and lagged inflation are found important in determining the inflation rate, with the former clearly dominating. Moreover, inflation persistence turns out to be intrinsic rather than inherited from a persistent driving process.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.jedc.2012.09.008</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0165-1889 |
ispartof | Journal of economic dynamics & control, 2013-03, Vol.37 (3), p.561-570 |
issn | 0165-1889 1879-1743 |
language | eng |
recordid | cdi_proquest_journals_1282144734 |
source | Elsevier ScienceDirect Journals |
subjects | Economic models Estimating techniques Generalized method of moments Inflation Keynesian theory Non-Gaussian time series Noncausal time series Phillips curve Studies |
title | Autoregression-based estimation of the new Keynesian Phillips curve |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T10%3A50%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Autoregression-based%20estimation%20of%20the%20new%20Keynesian%20Phillips%20curve&rft.jtitle=Journal%20of%20economic%20dynamics%20&%20control&rft.au=Lanne,%20Markku&rft.date=2013-03&rft.volume=37&rft.issue=3&rft.spage=561&rft.epage=570&rft.pages=561-570&rft.issn=0165-1889&rft.eissn=1879-1743&rft.coden=JEDCDH&rft_id=info:doi/10.1016/j.jedc.2012.09.008&rft_dat=%3Cproquest_cross%3E2876548531%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1282144734&rft_id=info:pmid/&rft_els_id=S0165188912001923&rfr_iscdi=true |