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Thesis_jon.pdf (830.41 KB)
ETD Abstract Container
Abstract Header
Essays in Nonlinear Time Series Analysis
Author Info
Michel, Jonathan R
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1555001297904158
Abstract Details
Year and Degree
2019, Doctor of Philosophy, Ohio State University, Economics.
Abstract
This dissertation consists of six papers. Each of these papers are on a different aspect of statistical analysis of nonlinear time series. In the first paper, we study the behavior of a nonstationary time series which has different behavior for ``high" and ``low" levels. This consists of the introduction of a new nonlinear time series model, a mathematical analysis of the functional limit theorem for this model, a statistical test for behavior similar to this new model, and a proposed technique for robust cointegration in the presence of this new model. The second paper consists of an extension of this idea into volatility modeling. The third paper considers experimental design and sampling of Markov chains. In particular, it focuses on how to feasibly optimally sample a continuous two-state Markov chain. The fourth paper is on integer valued time series. The focus here is on studying the properties of the INGARCH(1,1) model in the nonstationary case. This consists of applying mathematical machinery rarely used in econometrics. Additionally, in this paper extensions towards stationarity tests are considered. The fifth paper studies the dynamic Tobit, a time series model often used when data is censored below. In this paper, weak dependence and mixing properties are shown to hold, which is relevant for studying the statistical properties of estimation for this model. The sixth paper studies the reciprocal of the random walk. This is relevant in time series econometrics as such a process is a possible model for time series with a stochastic diminishing trend.
Committee
Robert de Jong (Advisor)
Stephen Cosslett (Committee Member)
Jason Blevins (Committee Member)
Mehmet Caner (Committee Member)
Pages
139 p.
Subject Headings
Economics
Keywords
Time Series Analysis, Nonstationary time series, Mixing, Nonlinear Time Series
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Citations
Michel, J. R. (2019).
Essays in Nonlinear Time Series Analysis
[Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555001297904158
APA Style (7th edition)
Michel, Jonathan.
Essays in Nonlinear Time Series Analysis.
2019. Ohio State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1555001297904158.
MLA Style (8th edition)
Michel, Jonathan. "Essays in Nonlinear Time Series Analysis." Doctoral dissertation, Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555001297904158
Chicago Manual of Style (17th edition)
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Document number:
osu1555001297904158
Download Count:
313
Copyright Info
© 2019, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.