The Econometrics Journal最新文献

筛选
英文 中文
Tractable bayesian estimation of smooth transition vector autoregressive models 平稳过渡向量自回归模型的可操作贝叶斯估计
The Econometrics Journal Pub Date : 2024-05-16 DOI: 10.1093/ectj/utae009
Martin Bruns, Michele Piffer
{"title":"Tractable bayesian estimation of smooth transition vector autoregressive models","authors":"Martin Bruns, Michele Piffer","doi":"10.1093/ectj/utae009","DOIUrl":"https://doi.org/10.1093/ectj/utae009","url":null,"abstract":"\u0000 We develop a tractable way of estimating the parameters ruling the nonlinearity in the popular Smooth Transition VAR model, and identify structural shocks using external instruments. This jointly offers an alternative to the option of identifying shocks recursively and calibrating key parameters. In an illustration, we show that monetary policy shocks generate larger effects on economic activity during economic expansions compared to economic recessions. We then document that calibrating rather than estimating the parameters ruling the nonlinearity of the model can lead to values for which the key results are lost. This suggests caution in the calibration of these parameters.","PeriodicalId":514887,"journal":{"name":"The Econometrics Journal","volume":"27 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140966664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Correction to: Causal inference and data fusion in econometrics 更正:计量经济学中的因果推断和数据融合
The Econometrics Journal Pub Date : 2024-04-03 DOI: 10.1093/ectj/utae008
{"title":"Correction to: Causal inference and data fusion in econometrics","authors":"","doi":"10.1093/ectj/utae008","DOIUrl":"https://doi.org/10.1093/ectj/utae008","url":null,"abstract":"","PeriodicalId":514887,"journal":{"name":"The Econometrics Journal","volume":"143 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140746517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using a Satisficing Model of Experimenter Decision-Making to Guide Finite-Sample Inference for Compromised Experiments. 利用实验者决策的满意模型指导折衷实验的有限样本推理。
IF 1.9
The Econometrics Journal Pub Date : 2021-05-01 Epub Date: 2021-06-29 DOI: 10.1093/ectj/utab009
James J Heckman, Ganesh Karapakula
{"title":"Using a Satisficing Model of Experimenter Decision-Making to Guide Finite-Sample Inference for Compromised Experiments.","authors":"James J Heckman,&nbsp;Ganesh Karapakula","doi":"10.1093/ectj/utab009","DOIUrl":"https://doi.org/10.1093/ectj/utab009","url":null,"abstract":"<p><p>This paper presents a simple decision-theoretic economic approach for analyzing social experiments with compromised random assignment protocols that are only partially documented. We model administratively constrained experimenters who satisfice in seeking covariate balance. We develop design-based small-sample hypothesis tests that use worst-case (least favorable) randomization null distributions. Our approach accommodates a variety of compromised experiments, including imperfectly documented re-randomization designs. To make our analysis concrete, we focus much of our discussion on the influential Perry Preschool Project. We reexamine previous estimates of program effectiveness using our methods. The choice of how to model reassignment vitally affects inference.</p>","PeriodicalId":514887,"journal":{"name":"The Econometrics Journal","volume":"24 2","pages":"C1-C39"},"PeriodicalIF":1.9,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478285/pdf/nihms-1690015.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39474567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Model averaging estimation for high-dimensional covariance matrices with a network structure. 具有网络结构的高维协方差矩阵的模型平均估计。
IF 1.9
The Econometrics Journal Pub Date : 2020-09-29 eCollection Date: 2021-01-01 DOI: 10.1093/ectj/utaa030
Rong Zhu, Xinyu Zhang, Yanyuan Ma, Guohua Zou
{"title":"Model averaging estimation for high-dimensional covariance matrices with a network structure.","authors":"Rong Zhu,&nbsp;Xinyu Zhang,&nbsp;Yanyuan Ma,&nbsp;Guohua Zou","doi":"10.1093/ectj/utaa030","DOIUrl":"https://doi.org/10.1093/ectj/utaa030","url":null,"abstract":"<p><p>In this paper, we develop a model averaging method to estimate a high-dimensional covariance matrix, where the candidate models are constructed by different orders of polynomial functions. We propose a Mallows-type model averaging criterion and select the weights by minimizing this criterion, which is an unbiased estimator of the expected in-sample squared error plus a constant. Then, we prove the asymptotic optimality of the resulting model average covariance estimators. Finally, we conduct numerical simulations and a case study on Chinese airport network structure data to demonstrate the usefulness of the proposed approaches.</p>","PeriodicalId":514887,"journal":{"name":"The Econometrics Journal","volume":"24 1","pages":"177-197"},"PeriodicalIF":1.9,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/ectj/utaa030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25500527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
0
×
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
确定
请完成安全验证×
相关产品
×
本文献相关产品
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信