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Three Essays in Econometrics.
~
Columbia University.
Three Essays in Econometrics.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Three Essays in Econometrics./
作者:
Tuzcuoglu, Kerem.
面頁冊數:
1 online resource (220 pages)
附註:
Source: Dissertation Abstracts International, Volume: 78-09(E), Section: A.
標題:
Economic theory. -
電子資源:
click for full text (PQDT)
ISBN:
9781369730807
Three Essays in Econometrics.
Tuzcuoglu, Kerem.
Three Essays in Econometrics.
- 1 online resource (220 pages)
Source: Dissertation Abstracts International, Volume: 78-09(E), Section: A.
Thesis (Ph.D.)--Columbia University, 2017.
Includes bibliographical references
This dissertation contains both theoretical and applied econometric work. The applications are on finance and macroeconomics. Each chapter utilizes time series techniques to analyze dynamic characteristics of data. The first chapter is on composite likelihood (CL) estimation, which has gained a lot of attention in the statistics field but is a relatively new technique to the economics literature. I study its asymptotic properties in a complex dynamic nonlinear model and use it to analyze corporate bond ratings. The second chapter explores the importance of global food price fluctuations. In particular, I measure the effects of global food shocks on domestic macroeconomic variables for a large number of countries. The third chapter proposes a method to interpret latent factors in a data-rich environment. In the application, I find five meaningful factor driving the US economy. (Abstract shortened by ProQuest.).
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781369730807Subjects--Topical Terms:
809881
Economic theory.
Index Terms--Genre/Form:
554714
Electronic books.
Three Essays in Econometrics.
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This dissertation contains both theoretical and applied econometric work. The applications are on finance and macroeconomics. Each chapter utilizes time series techniques to analyze dynamic characteristics of data. The first chapter is on composite likelihood (CL) estimation, which has gained a lot of attention in the statistics field but is a relatively new technique to the economics literature. I study its asymptotic properties in a complex dynamic nonlinear model and use it to analyze corporate bond ratings. The second chapter explores the importance of global food price fluctuations. In particular, I measure the effects of global food shocks on domestic macroeconomic variables for a large number of countries. The third chapter proposes a method to interpret latent factors in a data-rich environment. In the application, I find five meaningful factor driving the US economy. (Abstract shortened by ProQuest.).
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