Specification and testing of models estimated by quadrature

This paper proposes a test to check the specification of models with unobserved individual effects integrated out by quadrature and also a simple way of increasing the flexibility of this type of model. The results of a Monte Carlo study and an application using a well-known dataset illustrate the f...

Full description

Saved in:
Bibliographic Details
Published in:Journal of applied econometrics (Chichester, England) England), 2012-03, Vol.27 (2), p.322-332
Main Authors: Dhaene, Geert, Santos Silva, J. M. C.
Format: Article
Language:English
Subjects:
Approximation
Critical values
Data analysis
Datasets
Econometric models
Economic models
Economic theory
Estimating techniques
Estimation methods
Geometric lines
Mathematical independent variables
Model testing
Modeling
Monte Carlo simulation
Parametric models
Quadrature
Regression analysis
Samples
Specification
Studies
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-c4836-3aefc62f818bb4b54d5ffaef3528caac99ced41f2310c8a0be98ae5371582ad03
cites cdi_FETCH-LOGICAL-c4836-3aefc62f818bb4b54d5ffaef3528caac99ced41f2310c8a0be98ae5371582ad03
container_end_page 332
container_issue 2
container_start_page 322
container_title Journal of applied econometrics (Chichester, England)
container_volume 27
creator Dhaene, Geert
Santos Silva, J. M. C.
description This paper proposes a test to check the specification of models with unobserved individual effects integrated out by quadrature and also a simple way of increasing the flexibility of this type of model. The results of a Monte Carlo study and an application using a well-known dataset illustrate the finite sample properties of the proposed methods and their implementation in practice.
doi_str_mv 10.1002/jae.1196
format article
fullrecord <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_1022117261</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>41433007</jstor_id><sourcerecordid>41433007</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4836-3aefc62f818bb4b54d5ffaef3528caac99ced41f2310c8a0be98ae5371582ad03</originalsourceid><addsrcrecordid>eNp1kF9LwzAUxYMoOKfgFxCKT7505k_TJvg0ZE7HUJgTfQtpmkhr12xJi-7bm7GxgeDThXN_nHvuAeASwQGCEN9WUg8Q4ukR6CHIeYwwpcegBxkjcYYpPgVn3lcQwhTCrAfuXpdalaZUsi1tE8mmiFrt27L5jKyJFrbQtY82wkK2uojydbTqZOFk2zl9Dk6MrL2-2M0-eHsYze8f4-nL-Ol-OI1VwkgaE6mNSrFhiOV5ktOkoMYEjVDMlJSKc6WLBBlMEFRMwlxzJjUlGaIMywKSPrjZ-i6dXXUhjFiUXum6lo22nRcIYoxQhlMU0Os_aGU714R0guMEJZwRdvBTznrvtBFLF_5z6-AkNiWKUKLYlBjQeIt-l7Ve_8uJyXC046-2fOVb6_Z8uExI6PvgV_pW_-z30n2JNCMZFe_PYzGfokmKZx9iRn4BFXCK7g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>924149838</pqid></control><display><type>article</type><title>Specification and testing of models estimated by quadrature</title><source>International Bibliography of the Social Sciences (IBSS)</source><source>Wiley</source><source>JSTOR Archival Journals</source><creator>Dhaene, Geert ; Santos Silva, J. M. C.</creator><creatorcontrib>Dhaene, Geert ; Santos Silva, J. M. C.</creatorcontrib><description>This paper proposes a test to check the specification of models with unobserved individual effects integrated out by quadrature and also a simple way of increasing the flexibility of this type of model. The results of a Monte Carlo study and an application using a well-known dataset illustrate the finite sample properties of the proposed methods and their implementation in practice.</description><identifier>ISSN: 0883-7252</identifier><identifier>EISSN: 1099-1255</identifier><identifier>DOI: 10.1002/jae.1196</identifier><identifier>CODEN: JAECET</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Ltd</publisher><subject>Approximation ; Critical values ; Data analysis ; Datasets ; Econometric models ; Economic models ; Economic theory ; Estimating techniques ; Estimation methods ; Geometric lines ; Mathematical independent variables ; Model testing ; Modeling ; Monte Carlo simulation ; Parametric models ; Quadrature ; Regression analysis ; Samples ; Specification ; Studies</subject><ispartof>Journal of applied econometrics (Chichester, England), 2012-03, Vol.27 (2), p.322-332</ispartof><rights>Copyright © 2012 John Wiley &amp; Sons Ltd</rights><rights>Copyright © 2010 John Wiley &amp; Sons, Ltd.</rights><rights>Copyright Wiley Periodicals Inc. Mar 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4836-3aefc62f818bb4b54d5ffaef3528caac99ced41f2310c8a0be98ae5371582ad03</citedby><cites>FETCH-LOGICAL-c4836-3aefc62f818bb4b54d5ffaef3528caac99ced41f2310c8a0be98ae5371582ad03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/41433007$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/41433007$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,33223,33224,58238,58471</link.rule.ids></links><search><creatorcontrib>Dhaene, Geert</creatorcontrib><creatorcontrib>Santos Silva, J. M. C.</creatorcontrib><title>Specification and testing of models estimated by quadrature</title><title>Journal of applied econometrics (Chichester, England)</title><addtitle>J. Appl. Econ</addtitle><description>This paper proposes a test to check the specification of models with unobserved individual effects integrated out by quadrature and also a simple way of increasing the flexibility of this type of model. The results of a Monte Carlo study and an application using a well-known dataset illustrate the finite sample properties of the proposed methods and their implementation in practice.</description><subject>Approximation</subject><subject>Critical values</subject><subject>Data analysis</subject><subject>Datasets</subject><subject>Econometric models</subject><subject>Economic models</subject><subject>Economic theory</subject><subject>Estimating techniques</subject><subject>Estimation methods</subject><subject>Geometric lines</subject><subject>Mathematical independent variables</subject><subject>Model testing</subject><subject>Modeling</subject><subject>Monte Carlo simulation</subject><subject>Parametric models</subject><subject>Quadrature</subject><subject>Regression analysis</subject><subject>Samples</subject><subject>Specification</subject><subject>Studies</subject><issn>0883-7252</issn><issn>1099-1255</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><recordid>eNp1kF9LwzAUxYMoOKfgFxCKT7505k_TJvg0ZE7HUJgTfQtpmkhr12xJi-7bm7GxgeDThXN_nHvuAeASwQGCEN9WUg8Q4ukR6CHIeYwwpcegBxkjcYYpPgVn3lcQwhTCrAfuXpdalaZUsi1tE8mmiFrt27L5jKyJFrbQtY82wkK2uojydbTqZOFk2zl9Dk6MrL2-2M0-eHsYze8f4-nL-Ol-OI1VwkgaE6mNSrFhiOV5ktOkoMYEjVDMlJSKc6WLBBlMEFRMwlxzJjUlGaIMywKSPrjZ-i6dXXUhjFiUXum6lo22nRcIYoxQhlMU0Os_aGU714R0guMEJZwRdvBTznrvtBFLF_5z6-AkNiWKUKLYlBjQeIt-l7Ve_8uJyXC046-2fOVb6_Z8uExI6PvgV_pW_-z30n2JNCMZFe_PYzGfokmKZx9iRn4BFXCK7g</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Dhaene, Geert</creator><creator>Santos Silva, J. M. C.</creator><general>John Wiley &amp; Sons, Ltd</general><general>John Wiley &amp; Sons</general><general>Wiley Periodicals Inc</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>JQ2</scope></search><sort><creationdate>201203</creationdate><title>Specification and testing of models estimated by quadrature</title><author>Dhaene, Geert ; Santos Silva, J. M. C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4836-3aefc62f818bb4b54d5ffaef3528caac99ced41f2310c8a0be98ae5371582ad03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Approximation</topic><topic>Critical values</topic><topic>Data analysis</topic><topic>Datasets</topic><topic>Econometric models</topic><topic>Economic models</topic><topic>Economic theory</topic><topic>Estimating techniques</topic><topic>Estimation methods</topic><topic>Geometric lines</topic><topic>Mathematical independent variables</topic><topic>Model testing</topic><topic>Modeling</topic><topic>Monte Carlo simulation</topic><topic>Parametric models</topic><topic>Quadrature</topic><topic>Regression analysis</topic><topic>Samples</topic><topic>Specification</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dhaene, Geert</creatorcontrib><creatorcontrib>Santos Silva, J. M. C.</creatorcontrib><collection>Istex</collection><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><collection>ProQuest Computer Science Collection</collection><jtitle>Journal of applied econometrics (Chichester, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dhaene, Geert</au><au>Santos Silva, J. M. C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Specification and testing of models estimated by quadrature</atitle><jtitle>Journal of applied econometrics (Chichester, England)</jtitle><addtitle>J. Appl. Econ</addtitle><date>2012-03</date><risdate>2012</risdate><volume>27</volume><issue>2</issue><spage>322</spage><epage>332</epage><pages>322-332</pages><issn>0883-7252</issn><eissn>1099-1255</eissn><coden>JAECET</coden><abstract>This paper proposes a test to check the specification of models with unobserved individual effects integrated out by quadrature and also a simple way of increasing the flexibility of this type of model. The results of a Monte Carlo study and an application using a well-known dataset illustrate the finite sample properties of the proposed methods and their implementation in practice.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><doi>10.1002/jae.1196</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0883-7252
ispartof Journal of applied econometrics (Chichester, England), 2012-03, Vol.27 (2), p.322-332
issn 0883-7252
1099-1255
language eng
recordid cdi_proquest_miscellaneous_1022117261
source International Bibliography of the Social Sciences (IBSS); Wiley; JSTOR Archival Journals
subjects Approximation
Critical values
Data analysis
Datasets
Econometric models
Economic models
Economic theory
Estimating techniques
Estimation methods
Geometric lines
Mathematical independent variables
Model testing
Modeling
Monte Carlo simulation
Parametric models
Quadrature
Regression analysis
Samples
Specification
Studies
title Specification and testing of models estimated by quadrature
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T22%3A00%3A52IST&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=Specification%20and%20testing%20of%20models%20estimated%20by%20quadrature&rft.jtitle=Journal%20of%20applied%20econometrics%20(Chichester,%20England)&rft.au=Dhaene,%20Geert&rft.date=2012-03&rft.volume=27&rft.issue=2&rft.spage=322&rft.epage=332&rft.pages=322-332&rft.issn=0883-7252&rft.eissn=1099-1255&rft.coden=JAECET&rft_id=info:doi/10.1002/jae.1196&rft_dat=%3Cjstor_proqu%3E41433007%3C/jstor_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4836-3aefc62f818bb4b54d5ffaef3528caac99ced41f2310c8a0be98ae5371582ad03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=924149838&rft_id=info:pmid/&rft_jstor_id=41433007&rfr_iscdi=true