Metropolitan Business Cycle Analysis for Lubbock

T. Fullerton, Macie Z. Subia
{"title":"Metropolitan Business Cycle Analysis for Lubbock","authors":"T. Fullerton, Macie Z. Subia","doi":"10.1453/JEPE.V4I1.1204","DOIUrl":null,"url":null,"abstract":"Abstract. This study develops a business cycle index (BCI) for Lubbock Metropolitan Statistical Area (MSA). The Stock & Watson ( 1989 ; 1991 ; 1993 ) methodology is used to develop the BCI and assumes that the co-movements of key economic indicators have a single underlying, unobservable factor. This factor is extracted from the indicators and used to calculate an index that represents economic conditions through an econometric approach.  The model uses the Kalman filter smoothing approach which smooths across variables and over time. This results in an index that is smoother with less pronounced expansions and recessions. Indicator series used for the study are: establishment employment, unemployment, real retail sales and real wages that begin in 1990 and include complete data through the end of 2015. Results indicate that the Lubbock business cycle has peaks and troughs that occur later than those for the national economy. Keywords. Regional Economics; Business Cycles; Economic Indicators. JEL. R15, E32.","PeriodicalId":432468,"journal":{"name":"Journal of Economics and Political Economy","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economics and Political Economy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1453/JEPE.V4I1.1204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Abstract. This study develops a business cycle index (BCI) for Lubbock Metropolitan Statistical Area (MSA). The Stock & Watson ( 1989 ; 1991 ; 1993 ) methodology is used to develop the BCI and assumes that the co-movements of key economic indicators have a single underlying, unobservable factor. This factor is extracted from the indicators and used to calculate an index that represents economic conditions through an econometric approach.  The model uses the Kalman filter smoothing approach which smooths across variables and over time. This results in an index that is smoother with less pronounced expansions and recessions. Indicator series used for the study are: establishment employment, unemployment, real retail sales and real wages that begin in 1990 and include complete data through the end of 2015. Results indicate that the Lubbock business cycle has peaks and troughs that occur later than those for the national economy. Keywords. Regional Economics; Business Cycles; Economic Indicators. JEL. R15, E32.
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
拉伯克都市经济周期分析
摘要本研究发展了拉伯克都市统计区(MSA)的经济周期指数(BCI)。The Stock & Watson (1989;1991;1993)的方法被用来发展BCI,并假设关键经济指标的共同运动有一个单一的潜在的,不可观察的因素。这个因子是从指标中提取出来的,通过计量经济学的方法来计算一个代表经济状况的指数。该模型使用卡尔曼滤波平滑方法,平滑跨变量和随时间的变化。这导致该指数在扩张和衰退不那么明显的情况下更为平稳。该研究使用的指标系列是:企业就业、失业率、实际零售额和实际工资,从1990年开始,包括截至2015年底的完整数据。结果表明,拉伯克经济周期的高峰和低谷出现的时间晚于国民经济的高峰和低谷。关键词。区域经济学;商业周期;经济指标。冻胶。R15 E32。
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
自引率
0.00%
发文量
0
期刊最新文献
The determinants of the intermediate products export: The case of Switzerland Bank credit and transmission mechanisms of monetary policy in Uganda The contribution of human capital to the economic development of Cameroon, 1980-2018 Are they willing to participate? A review on behavioral economics approach to voters turnout Financialization and political economy of financial regulation in Uganda
×
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