Loading…
Explaining Investment Dynamics in U.S. Manufacturing: A Generalized (S, s) Approach
In this paper we derive a model of aggregate investment that builds from the lumpy microeconomic behavior of firms facing stochastic fixed adjustment costs. Instead of the standard sharp (S, s) bands, firms' adjustment policies take the form of a probability of adjustment (adjustment hazard) th...
Saved in:
Published in: | Econometrica 1999-07, Vol.67 (4), p.783-826 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c5963-c6638943888e1c8f6016e034175b57000655455acacc58540e904221a40988383 |
---|---|
cites | cdi_FETCH-LOGICAL-c5963-c6638943888e1c8f6016e034175b57000655455acacc58540e904221a40988383 |
container_end_page | 826 |
container_issue | 4 |
container_start_page | 783 |
container_title | Econometrica |
container_volume | 67 |
creator | Caballero, Ricardo J. Engel, Eduardo M. R. A. |
description | In this paper we derive a model of aggregate investment that builds from the lumpy microeconomic behavior of firms facing stochastic fixed adjustment costs. Instead of the standard sharp (S, s) bands, firms' adjustment policies take the form of a probability of adjustment (adjustment hazard) that responds smoothly to changes in firms' capacity gap. The model has appealing aggregation properties, and yields nonlinear aggregate time series processes. The passivity of normal times is, occasionally, more than offset by the brisk response to large accumulated shocks. Using within and out-of-sample criteria, we find that the model performs substantially better than the standard linear models of investment for postwar sectoral U.S. manufacturing equipment and structures investment data. |
doi_str_mv | 10.1111/1468-0262.00053 |
format | article |
fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_journals_203878794</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>2999458</jstor_id><sourcerecordid>2999458</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5963-c6638943888e1c8f6016e034175b57000655455acacc58540e904221a40988383</originalsourceid><addsrcrecordid>eNqFkM1PGzEQxa0KpIaUMxcOVukBpG7w93p7S0MakGiKlCB6s1zXCw4bJ7U3NOGvx8uicEJYlizN_N6b8QPgAKMeTucUMyEzRATpIYQ4_QA628oO6CCESVYIST6CvRhnDZJuB0yG62WlnXf-Fl74BxvrufU1PNt4PXcmQufhdW_Sgz-1X5Xa1KuQyG-wD0fW26Ar92j_wuPJVxhPYH-5DAtt7j6B3VJX0e6_vF1w_WM4HZxnl79GF4P-ZWZ4IWhmhKCyYFRKabGRpUBYWEQZzvkfnqcNBeeMc220MVxyhmyBGCFYM1RISSXtgs-tbxr7b5VWV7PFKvg0UhFEZS7z5N4FR29BOPmjnDBEEnXaUiYsYgy2VMvg5jpsFEaqiVc1YaomTPUcb1J8efHV0eiqDNobF19lhGLCGoy12H9X2c17rmo4mPZb98NWNov1ImxlpCgKxpufZ23bxdqut20d7pXIac7VzXikfl99p1jmQo3pEyYwm30</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>203878794</pqid></control><display><type>article</type><title>Explaining Investment Dynamics in U.S. Manufacturing: A Generalized (S, s) Approach</title><source>International Bibliography of the Social Sciences (IBSS)</source><source>Wiley</source><source>EBSCOhost Econlit with Full Text</source><source>JSTOR Archival Journals and Primary Sources Collection</source><source>Social Science Premium Collection</source><source>ABI/INFORM Global</source><creator>Caballero, Ricardo J. ; Engel, Eduardo M. R. A.</creator><creatorcontrib>Caballero, Ricardo J. ; Engel, Eduardo M. R. A.</creatorcontrib><description>In this paper we derive a model of aggregate investment that builds from the lumpy microeconomic behavior of firms facing stochastic fixed adjustment costs. Instead of the standard sharp (S, s) bands, firms' adjustment policies take the form of a probability of adjustment (adjustment hazard) that responds smoothly to changes in firms' capacity gap. The model has appealing aggregation properties, and yields nonlinear aggregate time series processes. The passivity of normal times is, occasionally, more than offset by the brisk response to large accumulated shocks. Using within and out-of-sample criteria, we find that the model performs substantially better than the standard linear models of investment for postwar sectoral U.S. manufacturing equipment and structures investment data.</description><identifier>ISSN: 0012-9682</identifier><identifier>EISSN: 1468-0262</identifier><identifier>DOI: 10.1111/1468-0262.00053</identifier><identifier>CODEN: ECMTA7</identifier><language>eng</language><publisher>Oxford, UK and Boston, USA: Blackwell Publishers Ltd</publisher><subject>adjustment costs ; adjustment hazard ; aggregation ; Applications ; Capital investments ; Capital stocks ; Cost allocation ; Cost estimates ; Cost functions ; Costs ; Econometrics ; Exact sciences and technology ; Forecasting models ; Forecasting standards ; heterogeneity ; Inference from stochastic processes; time series analysis ; Insurance, economics, finance ; Investment ; Investments ; lumpiness ; Manufacturing ; Market disequilibrium ; Mathematics ; Microeconomic modeling ; Microeconomics ; nonlinear time series ; Probability and statistics ; Random variables ; Sciences and techniques of general use ; Statistics ; Stochastic models ; Studies ; Time series</subject><ispartof>Econometrica, 1999-07, Vol.67 (4), p.783-826</ispartof><rights>Copyright 1999 Econometric Society</rights><rights>Econometric Society 1999</rights><rights>2000 INIST-CNRS</rights><rights>Copyright Econometric Society Jul 1999</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5963-c6638943888e1c8f6016e034175b57000655455acacc58540e904221a40988383</citedby><cites>FETCH-LOGICAL-c5963-c6638943888e1c8f6016e034175b57000655455acacc58540e904221a40988383</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/203878794/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/203878794?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,11667,11885,12826,21373,27901,27902,33200,33588,36027,36037,43709,44337,44339,58213,58446,73964,74636,74638</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1231243$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Caballero, Ricardo J.</creatorcontrib><creatorcontrib>Engel, Eduardo M. R. A.</creatorcontrib><title>Explaining Investment Dynamics in U.S. Manufacturing: A Generalized (S, s) Approach</title><title>Econometrica</title><description>In this paper we derive a model of aggregate investment that builds from the lumpy microeconomic behavior of firms facing stochastic fixed adjustment costs. Instead of the standard sharp (S, s) bands, firms' adjustment policies take the form of a probability of adjustment (adjustment hazard) that responds smoothly to changes in firms' capacity gap. The model has appealing aggregation properties, and yields nonlinear aggregate time series processes. The passivity of normal times is, occasionally, more than offset by the brisk response to large accumulated shocks. Using within and out-of-sample criteria, we find that the model performs substantially better than the standard linear models of investment for postwar sectoral U.S. manufacturing equipment and structures investment data.</description><subject>adjustment costs</subject><subject>adjustment hazard</subject><subject>aggregation</subject><subject>Applications</subject><subject>Capital investments</subject><subject>Capital stocks</subject><subject>Cost allocation</subject><subject>Cost estimates</subject><subject>Cost functions</subject><subject>Costs</subject><subject>Econometrics</subject><subject>Exact sciences and technology</subject><subject>Forecasting models</subject><subject>Forecasting standards</subject><subject>heterogeneity</subject><subject>Inference from stochastic processes; time series analysis</subject><subject>Insurance, economics, finance</subject><subject>Investment</subject><subject>Investments</subject><subject>lumpiness</subject><subject>Manufacturing</subject><subject>Market disequilibrium</subject><subject>Mathematics</subject><subject>Microeconomic modeling</subject><subject>Microeconomics</subject><subject>nonlinear time series</subject><subject>Probability and statistics</subject><subject>Random variables</subject><subject>Sciences and techniques of general use</subject><subject>Statistics</subject><subject>Stochastic models</subject><subject>Studies</subject><subject>Time series</subject><issn>0012-9682</issn><issn>1468-0262</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><sourceid>ALSLI</sourceid><sourceid>M0C</sourceid><sourceid>M2R</sourceid><recordid>eNqFkM1PGzEQxa0KpIaUMxcOVukBpG7w93p7S0MakGiKlCB6s1zXCw4bJ7U3NOGvx8uicEJYlizN_N6b8QPgAKMeTucUMyEzRATpIYQ4_QA628oO6CCESVYIST6CvRhnDZJuB0yG62WlnXf-Fl74BxvrufU1PNt4PXcmQufhdW_Sgz-1X5Xa1KuQyG-wD0fW26Ar92j_wuPJVxhPYH-5DAtt7j6B3VJX0e6_vF1w_WM4HZxnl79GF4P-ZWZ4IWhmhKCyYFRKabGRpUBYWEQZzvkfnqcNBeeMc220MVxyhmyBGCFYM1RISSXtgs-tbxr7b5VWV7PFKvg0UhFEZS7z5N4FR29BOPmjnDBEEnXaUiYsYgy2VMvg5jpsFEaqiVc1YaomTPUcb1J8efHV0eiqDNobF19lhGLCGoy12H9X2c17rmo4mPZb98NWNov1ImxlpCgKxpufZ23bxdqut20d7pXIac7VzXikfl99p1jmQo3pEyYwm30</recordid><startdate>199907</startdate><enddate>199907</enddate><creator>Caballero, Ricardo J.</creator><creator>Engel, Eduardo M. R. A.</creator><general>Blackwell Publishers Ltd</general><general>Econometric Society</general><general>Blackwell</general><general>George Banta Pub. Co. for the Econometric Society</general><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>FIXVA</scope><scope>FKUCP</scope><scope>JILTI</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88J</scope><scope>8BJ</scope><scope>8FI</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M0T</scope><scope>M2O</scope><scope>M2R</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYYUZ</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>199907</creationdate><title>Explaining Investment Dynamics in U.S. Manufacturing: A Generalized (S, s) Approach</title><author>Caballero, Ricardo J. ; Engel, Eduardo M. R. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5963-c6638943888e1c8f6016e034175b57000655455acacc58540e904221a40988383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>adjustment costs</topic><topic>adjustment hazard</topic><topic>aggregation</topic><topic>Applications</topic><topic>Capital investments</topic><topic>Capital stocks</topic><topic>Cost allocation</topic><topic>Cost estimates</topic><topic>Cost functions</topic><topic>Costs</topic><topic>Econometrics</topic><topic>Exact sciences and technology</topic><topic>Forecasting models</topic><topic>Forecasting standards</topic><topic>heterogeneity</topic><topic>Inference from stochastic processes; time series analysis</topic><topic>Insurance, economics, finance</topic><topic>Investment</topic><topic>Investments</topic><topic>lumpiness</topic><topic>Manufacturing</topic><topic>Market disequilibrium</topic><topic>Mathematics</topic><topic>Microeconomic modeling</topic><topic>Microeconomics</topic><topic>nonlinear time series</topic><topic>Probability and statistics</topic><topic>Random variables</topic><topic>Sciences and techniques of general use</topic><topic>Statistics</topic><topic>Stochastic models</topic><topic>Studies</topic><topic>Time series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Caballero, Ricardo J.</creatorcontrib><creatorcontrib>Engel, Eduardo M. R. A.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 03</collection><collection>Periodicals Index Online Segment 04</collection><collection>Periodicals Index Online Segment 32</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Hospital Premium Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Healthcare Administration Database</collection><collection>Research Library</collection><collection>Social Science Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Econometrica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Caballero, Ricardo J.</au><au>Engel, Eduardo M. R. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Explaining Investment Dynamics in U.S. Manufacturing: A Generalized (S, s) Approach</atitle><jtitle>Econometrica</jtitle><date>1999-07</date><risdate>1999</risdate><volume>67</volume><issue>4</issue><spage>783</spage><epage>826</epage><pages>783-826</pages><issn>0012-9682</issn><eissn>1468-0262</eissn><coden>ECMTA7</coden><abstract>In this paper we derive a model of aggregate investment that builds from the lumpy microeconomic behavior of firms facing stochastic fixed adjustment costs. Instead of the standard sharp (S, s) bands, firms' adjustment policies take the form of a probability of adjustment (adjustment hazard) that responds smoothly to changes in firms' capacity gap. The model has appealing aggregation properties, and yields nonlinear aggregate time series processes. The passivity of normal times is, occasionally, more than offset by the brisk response to large accumulated shocks. Using within and out-of-sample criteria, we find that the model performs substantially better than the standard linear models of investment for postwar sectoral U.S. manufacturing equipment and structures investment data.</abstract><cop>Oxford, UK and Boston, USA</cop><pub>Blackwell Publishers Ltd</pub><doi>10.1111/1468-0262.00053</doi><tpages>44</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0012-9682 |
ispartof | Econometrica, 1999-07, Vol.67 (4), p.783-826 |
issn | 0012-9682 1468-0262 |
language | eng |
recordid | cdi_proquest_journals_203878794 |
source | International Bibliography of the Social Sciences (IBSS); Wiley; EBSCOhost Econlit with Full Text; JSTOR Archival Journals and Primary Sources Collection; Social Science Premium Collection; ABI/INFORM Global |
subjects | adjustment costs adjustment hazard aggregation Applications Capital investments Capital stocks Cost allocation Cost estimates Cost functions Costs Econometrics Exact sciences and technology Forecasting models Forecasting standards heterogeneity Inference from stochastic processes time series analysis Insurance, economics, finance Investment Investments lumpiness Manufacturing Market disequilibrium Mathematics Microeconomic modeling Microeconomics nonlinear time series Probability and statistics Random variables Sciences and techniques of general use Statistics Stochastic models Studies Time series |
title | Explaining Investment Dynamics in U.S. Manufacturing: A Generalized (S, s) Approach |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T00%3A43%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Explaining%20Investment%20Dynamics%20in%20U.S.%20Manufacturing:%20A%20Generalized%20(S,%20s)%20Approach&rft.jtitle=Econometrica&rft.au=Caballero,%20Ricardo%20J.&rft.date=1999-07&rft.volume=67&rft.issue=4&rft.spage=783&rft.epage=826&rft.pages=783-826&rft.issn=0012-9682&rft.eissn=1468-0262&rft.coden=ECMTA7&rft_id=info:doi/10.1111/1468-0262.00053&rft_dat=%3Cjstor_proqu%3E2999458%3C/jstor_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c5963-c6638943888e1c8f6016e034175b57000655455acacc58540e904221a40988383%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=203878794&rft_id=info:pmid/&rft_jstor_id=2999458&rfr_iscdi=true |