{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T07:35:42Z","timestamp":1791272142608,"version":"4.1.0"},"reference-count":102,"publisher":"Cambridge University Press (CUP)","issue":"4","license":[{"start":{"date-parts":[[2014,4,1]],"date-time":"2014-04-01T00:00:00Z","timestamp":1396310400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Econom. Theory"],"published-print":{"date-parts":[[2014,8]]},"abstract":"<jats:p>Econometric analysis of continuous time models has drawn the attention of Peter Phillips for 40 years, resulting in many important publications by him. In these publications he has dealt with a wide range of continuous time models and the associated econometric problems. He has investigated problems from univariate equations to systems of equations, from asymptotic theory to finite sample issues, from parametric models to nonparametric models, from identification problems to estimation and inference problems, and from stationary models to nonstationary and nearly nonstationary models. This paper provides an overview of Peter Phillips\u2019 contributions in the continuous time econometrics literature. We review the problems that have been tackled by him, outline the main techniques suggested by him, and discuss the main results obtained by him. Based on his early work, we compare the performance of three asymptotic distributions in a simple setup. Results indicate that the<jats:italic>in-fill<\/jats:italic>asymptotics significantly outperforms the<jats:italic>long-span<\/jats:italic>asymptotics and the<jats:italic>double<\/jats:italic>asymptotics.<\/jats:p>","DOI":"10.1017\/s0266466613000467","type":"journal-article","created":{"date-parts":[[2014,4,1]],"date-time":"2014-04-01T12:36:58Z","timestamp":1396355818000},"page":"737-774","source":"Crossref","is-referenced-by-count":20,"title":["ECONOMETRIC ANALYSIS OF CONTINUOUS TIME MODELS: A SURVEY OF PETER PHILLIPS\u2019S WORK AND SOME NEW RESULTS"],"prefix":"10.1017","volume":"30","author":[{"given":"Jun","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2014,4,1]]},"reference":[{"key":"S0266466613000467_ref32","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.1992.tb04011.x"},{"key":"S0266466613000467_ref84","first-page":"269","article-title":"Asymptotics for nonlinear transformations of integrated time series","volume":"15","author":"Phillips","year":"1999","journal-title":"Econometric Theory"},{"key":"S0266466613000467_ref102","doi-asserted-by":"publisher","DOI":"10.1198\/016214505000000169"},{"key":"S0266466613000467_ref93","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1111\/j.2517-6161.1974.tb00987.x","article-title":"Some discrete approximations to continuous time stochastic models","volume":"36","author":"Sargan","year":"1974","journal-title":"Journal of the Royal Statistical Society, Series B"},{"key":"S0266466613000467_ref88","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2008.12.006"},{"key":"S0266466613000467_ref86","doi-asserted-by":"publisher","DOI":"10.1214\/088342305000000430"},{"key":"S0266466613000467_ref40","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9965.1996.tb00123.x"},{"key":"S0266466613000467_ref83","doi-asserted-by":"publisher","DOI":"10.1080\/00779951003614057"},{"key":"S0266466613000467_ref79","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/74.3.535"},{"key":"S0266466613000467_ref76","first-page":"175","volume-title":"Statistical Inference in Continuous Time Economic Models","author":"Phillips","year":"1976"},{"key":"S0266466613000467_ref91","doi-asserted-by":"publisher","DOI":"10.1111\/j.1368-423X.2010.00326.x"},{"key":"S0266466613000467_ref1","doi-asserted-by":"publisher","DOI":"10.2307\/2171860"},{"key":"S0266466613000467_ref82","first-page":"3","volume-title":"Models, Methods and Applications of Econometrics: Essays in Honor of A. 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