Endogeneity-corrected stochastic frontier with market imperfections

IF 1.9 4区 经济学 Q2 ECONOMICS Empirical Economics Pub Date : 2024-03-27 DOI:10.1007/s00181-024-02577-0
{"title":"Endogeneity-corrected stochastic frontier with market imperfections","authors":"","doi":"10.1007/s00181-024-02577-0","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>While the product and labour market imperfections reveal efficiency losses, they may influence technology adoption and its change, raising the endogeneity issue of productivity and efficiency estimates. Using a two-step approach, this work offers the endogeneity-corrected stochastic frontier for such a contemporaneous relation and accounts for efficiency and productivity losses due to market imperfections. A modified frontier function, defined as the residue per capital unit, has been drawn from the Cobb–Douglas function to estimate the terms containing the product and labour market imperfections along with other factors capturing the levels of technology, scale and technical efficiency. First, a standard frontier panel model estimates technology and technical efficiency terms with a proxy function in polynomials of market imperfection terms used for the contemporaneous relation, and then a GMM approach applies to the residue to estimate the parameters containing market imperfections. The estimated results using the three-digit industries across 17 major Indian states for 2008–2016 reveal a strong presence of product and labour market imperfections and associated efficiency losses. The efficiency in the product market has been lower and has further deteriorated in most industries, but not in the labour market.</p>","PeriodicalId":11642,"journal":{"name":"Empirical Economics","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Empirical Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s00181-024-02577-0","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

While the product and labour market imperfections reveal efficiency losses, they may influence technology adoption and its change, raising the endogeneity issue of productivity and efficiency estimates. Using a two-step approach, this work offers the endogeneity-corrected stochastic frontier for such a contemporaneous relation and accounts for efficiency and productivity losses due to market imperfections. A modified frontier function, defined as the residue per capital unit, has been drawn from the Cobb–Douglas function to estimate the terms containing the product and labour market imperfections along with other factors capturing the levels of technology, scale and technical efficiency. First, a standard frontier panel model estimates technology and technical efficiency terms with a proxy function in polynomials of market imperfection terms used for the contemporaneous relation, and then a GMM approach applies to the residue to estimate the parameters containing market imperfections. The estimated results using the three-digit industries across 17 major Indian states for 2008–2016 reveal a strong presence of product and labour market imperfections and associated efficiency losses. The efficiency in the product market has been lower and has further deteriorated in most industries, but not in the labour market.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
具有市场缺陷的内生性校正随机前沿
摘要 产品和劳动力市场的不完善在揭示效率损失的同时,也可能影响技术的采用及其变化,从而引发生产率和效率估算的内生性问题。本文采用两步法,为这种同期关系提供了内生性校正随机前沿,并说明了市场不完善导致的效率和生产率损失。从柯布-道格拉斯函数中提取了一个修正的前沿函数,定义为每资本单位的剩余,以估算包含产品和劳动力市场不完善的项,以及反映技术、规模和技术效率水平的其他因素。首先,用标准前沿面板模型估算技术和技术效率项,并用市场不完善项的多项式替代函数来处理同期关系,然后对残差采用 GMM 方法来估算包含市场不完善的参数。使用 2008-2016 年印度 17 个主要邦的三位数产业进行估计的结果显示,产品和劳动力市场存在严重的不完善以及相关的效率损失。在大多数行业中,产品市场的效率一直较低并进一步恶化,但劳动力市场的效率却没有下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.40
自引率
0.00%
发文量
157
期刊介绍: Empirical Economics publishes high quality papers using econometric or statistical methods to fill the gap between economic theory and observed data. Papers explore such topics as estimation of established relationships between economic variables, testing of hypotheses derived from economic theory, treatment effect estimation, policy evaluation, simulation, forecasting, as well as econometric methods and measurement. Empirical Economics emphasizes the replicability of empirical results. Replication studies of important results in the literature - both positive and negative results - may be published as short papers in Empirical Economics. Authors of all accepted papers and replications are required to submit all data and codes prior to publication (for more details, see: Instructions for Authors).The journal follows a single blind review procedure. In order to ensure the high quality of the journal and an efficient editorial process, a substantial number of submissions that have very poor chances of receiving positive reviews are routinely rejected without sending the papers for review.Officially cited as: Empir Econ
期刊最新文献
Macroeconomic effects of monetary policy in Japan: an analysis using interest rate futures surprises Stochastic instability: a dynamic quantile approach Revisiting precious metal mining stocks and precious metals as hedge, diversifiers and safe-havens: a multidimensional scaling and wavelet quantile correlation perspective Euro area inflation differentials: the role of fiscal policies revisited Instrumental variable estimation with observed and unobserved heterogeneity of the treatment and instrument effect: a latent class approach
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1