{"title":"On the Estimation of a Class of Threshold Regression Models","authors":"T. V. S. Ramamohan Rao","doi":"10.1007/s40953-023-00370-x","DOIUrl":null,"url":null,"abstract":"<p>A rich variety of threshold regression models have been in use starting with Tobin (1978). However, several applications indicate the necessity for a class of threshold regression models that have not been considered so far. This note presents a specification of such models and offers a novel method of estimation.</p>","PeriodicalId":42219,"journal":{"name":"JOURNAL OF QUANTITATIVE ECONOMICS","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF QUANTITATIVE ECONOMICS","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s40953-023-00370-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
A rich variety of threshold regression models have been in use starting with Tobin (1978). However, several applications indicate the necessity for a class of threshold regression models that have not been considered so far. This note presents a specification of such models and offers a novel method of estimation.
期刊介绍：
The Journal of Quantitative Economics (JQEC) is a refereed journal of the Indian Econometric Society (TIES). It solicits quantitative papers with basic or applied research orientation in all sub-fields of Economics that employ rigorous theoretical, empirical and experimental methods. The Journal also encourages Short Papers and Review Articles. Innovative and fundamental papers that focus on various facets of Economics of the Emerging Market and Developing Economies are particularly welcome. With the help of an international Editorial board and carefully selected referees, it aims to minimize the time taken to complete the review process while preserving the quality of the articles published.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
