Estimating Production Functions in Differentiated-Product Industries with Quantity Information and External Instruments

This paper develops a new method for estimating production-function parameters that can be applied in differentiated-product industries with endogenous quality and variety choice. We take advantage of data on physical quantities of outputs and inputs from the Colombian manufacturing survey, focusing...

Full description

Autores:
De Roux, Nicolás
Eslava, Marcela
Franco, Santiago
Verhoogen, Eric
Tipo de recurso:
Work document
Fecha de publicación:
2021
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/48081
Acceso en línea:
http://hdl.handle.net/1992/48081
Palabra clave:
Production-function estimation
Quality
Variety
External instruments
L1, D24, O14, L65
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
id UNIANDES2_ac3f52b5fddd604ccaadb9d296500eab
oai_identifier_str oai:repositorio.uniandes.edu.co:1992/48081
network_acronym_str UNIANDES2
network_name_str Séneca: repositorio Uniandes
repository_id_str
spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2De Roux, Nicolásc11be36f-c7de-4502-abfa-173386a3436d400Eslava, Marcela61fc813b-ff26-496c-afe2-b7d93e5d6172400Franco, Santiagod6d02de0-d47e-4329-aaaf-ef9f2af6c2f9500Verhoogen, Eric1aa4217c-f0de-482b-bed0-18e17ef8a0fb5002021-01-28T16:16:43Z2021-01-28T16:16:43Z2021http://hdl.handle.net/1992/480811657-719110.57784/1992/48081instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/This paper develops a new method for estimating production-function parameters that can be applied in differentiated-product industries with endogenous quality and variety choice. We take advantage of data on physical quantities of outputs and inputs from the Colombian manufacturing survey, focusing on producers of rubber and plastic products. Assuming constant elasticities of substitution of outputs and inputs within firms, we aggregate from the firm-product to the firm level and show how quality and variety choices may bias standard estimators. Using real exchange rates and variation in the \bite" of the national minimum wage, we construct external instruments for materials and labor choices. We implement a simple two-step instrumental-variables method, first estimating a difference equation to recover the materials and labor coefficients and then estimating a levels equation to recover the capital cofficient. Under the assumption that the instruments are uncorrelated with firms' quality and variety choices, this method yields consistent estimates, free of the quality and variety biases we have identified. Our point estimates differ from those of existing methods and changes in our preferred productivity estimator perform relatively well in predicting future export growth.94 páginasengUniversidad de los Andes, Facultad de Economía, CEDEDocumentos CEDE No.02 Enero de 2021https://ideas.repec.org/p/col/000089/018705.htmlEstimating Production Functions in Differentiated-Product Industries with Quantity Information and External InstrumentsDocumento de trabajoinfo:eu-repo/semantics/workingPaperhttp://purl.org/coar/resource_type/c_8042http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttps://purl.org/redcol/resource_type/WPProduction-function estimationQualityVarietyExternal instrumentsL1, D24, O14, L65Facultad de EconomíaPublicationTHUMBNAILdcede2021-02.pdf.jpgdcede2021-02.pdf.jpgIM Thumbnailimage/jpeg19031https://repositorio.uniandes.edu.co/bitstreams/091c97da-31cc-4693-953b-03b5c79713a5/download5eda76b302ff813ea0012b90dce17e15MD55TEXTdcede2021-02.pdf.txtdcede2021-02.pdf.txtExtracted texttext/plain209879https://repositorio.uniandes.edu.co/bitstreams/6f73b73d-ff1a-441b-9ead-9101d0d93682/download7f5011b71e3f474bbdc6be5193c90561MD54ORIGINALdcede2021-02.pdfdcede2021-02.pdfapplication/pdf9541159https://repositorio.uniandes.edu.co/bitstreams/2b9a1f7a-e913-47bc-b3d4-4e7614383476/downloadd21b69d637935fc87f1d54736eae4dceMD511992/48081oai:repositorio.uniandes.edu.co:1992/480812024-06-04 15:49:08.584http://creativecommons.org/licenses/by-nc-nd/4.0/open.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co
dc.title.none.fl_str_mv Estimating Production Functions in Differentiated-Product Industries with Quantity Information and External Instruments
title Estimating Production Functions in Differentiated-Product Industries with Quantity Information and External Instruments
spellingShingle Estimating Production Functions in Differentiated-Product Industries with Quantity Information and External Instruments
Production-function estimation
Quality
Variety
External instruments
L1, D24, O14, L65
title_short Estimating Production Functions in Differentiated-Product Industries with Quantity Information and External Instruments
title_full Estimating Production Functions in Differentiated-Product Industries with Quantity Information and External Instruments
title_fullStr Estimating Production Functions in Differentiated-Product Industries with Quantity Information and External Instruments
title_full_unstemmed Estimating Production Functions in Differentiated-Product Industries with Quantity Information and External Instruments
title_sort Estimating Production Functions in Differentiated-Product Industries with Quantity Information and External Instruments
dc.creator.fl_str_mv De Roux, Nicolás
Eslava, Marcela
Franco, Santiago
Verhoogen, Eric
dc.contributor.author.none.fl_str_mv De Roux, Nicolás
Eslava, Marcela
Franco, Santiago
Verhoogen, Eric
dc.subject.keyword.none.fl_str_mv Production-function estimation
Quality
Variety
External instruments
topic Production-function estimation
Quality
Variety
External instruments
L1, D24, O14, L65
dc.subject.jel.none.fl_str_mv L1, D24, O14, L65
description This paper develops a new method for estimating production-function parameters that can be applied in differentiated-product industries with endogenous quality and variety choice. We take advantage of data on physical quantities of outputs and inputs from the Colombian manufacturing survey, focusing on producers of rubber and plastic products. Assuming constant elasticities of substitution of outputs and inputs within firms, we aggregate from the firm-product to the firm level and show how quality and variety choices may bias standard estimators. Using real exchange rates and variation in the \bite" of the national minimum wage, we construct external instruments for materials and labor choices. We implement a simple two-step instrumental-variables method, first estimating a difference equation to recover the materials and labor coefficients and then estimating a levels equation to recover the capital cofficient. Under the assumption that the instruments are uncorrelated with firms' quality and variety choices, this method yields consistent estimates, free of the quality and variety biases we have identified. Our point estimates differ from those of existing methods and changes in our preferred productivity estimator perform relatively well in predicting future export growth.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-01-28T16:16:43Z
dc.date.available.none.fl_str_mv 2021-01-28T16:16:43Z
dc.date.issued.none.fl_str_mv 2021
dc.type.spa.fl_str_mv Documento de trabajo
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/workingPaper
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_8042
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv https://purl.org/redcol/resource_type/WP
format http://purl.org/coar/resource_type/c_8042
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/1992/48081
dc.identifier.eissn.none.fl_str_mv 1657-7191
dc.identifier.doi.none.fl_str_mv 10.57784/1992/48081
dc.identifier.instname.spa.fl_str_mv instname:Universidad de los Andes
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Séneca
dc.identifier.repourl.spa.fl_str_mv repourl:https://repositorio.uniandes.edu.co/
url http://hdl.handle.net/1992/48081
identifier_str_mv 1657-7191
10.57784/1992/48081
instname:Universidad de los Andes
reponame:Repositorio Institucional Séneca
repourl:https://repositorio.uniandes.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofseries.none.fl_str_mv Documentos CEDE No.02 Enero de 2021
dc.relation.repec.none.fl_str_mv https://ideas.repec.org/p/col/000089/018705.html
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 94 páginas
dc.publisher.none.fl_str_mv Universidad de los Andes, Facultad de Economía, CEDE
publisher.none.fl_str_mv Universidad de los Andes, Facultad de Economía, CEDE
institution Universidad de los Andes
bitstream.url.fl_str_mv https://repositorio.uniandes.edu.co/bitstreams/091c97da-31cc-4693-953b-03b5c79713a5/download
https://repositorio.uniandes.edu.co/bitstreams/6f73b73d-ff1a-441b-9ead-9101d0d93682/download
https://repositorio.uniandes.edu.co/bitstreams/2b9a1f7a-e913-47bc-b3d4-4e7614383476/download
bitstream.checksum.fl_str_mv 5eda76b302ff813ea0012b90dce17e15
7f5011b71e3f474bbdc6be5193c90561
d21b69d637935fc87f1d54736eae4dce
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio institucional Séneca
repository.mail.fl_str_mv adminrepositorio@uniandes.edu.co
_version_ 1812134074875117568