PPT-The macroeconomics of time-varying uncertainty

Author : jane-oiler | Published Date : 2015-10-28

Nick Bloom Stanford amp NBER Harvard April 23 rd and 30 th Talk summarizes a forthcoming JEP article amp a workinprogress longer JEL Talk summarizes a forthcoming

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The macroeconomics of time-varying uncertainty: Transcript


Nick Bloom Stanford amp NBER Harvard April 23 rd and 30 th Talk summarizes a forthcoming JEP article amp a workinprogress longer JEL Talk summarizes a forthcoming JEP article amp a workinprogress longer JEL. Nick Bloom (Stanford & NBER). IMF Lectures, January 18. th. 2013. Talk summarizes a JEL draft with Fernandez-Villaverde and Schneider. Currently very scrappy and only the slides are on-line but hoping to post the paper on-line soon. Spring 2011. Dr. Gary Gaukler. Demand Uncertainty. How do we come up with our random variable of demand?. Recall naïve method:. Demand Uncertainty. Demand Uncertainty and Forecasting. Using the standard deviation of forecast error:. Malcolm Sawyer. University of Leeds. Introduction. Heterodox macroeconomics includes what may be termed Post-Keynesian and . Kaleckian. macroeconomics . Reading:. M. Sawyer, ‘. T. he central core of heterodox macroeconomics. Growth in the Gulf of . Mexico King . Mackerel Stock Assessment: . a . Case Study. Southeast Fisheries Science Center. Jeff. . Isely, Michael . Schirripa. , John Walter and Matt . Lauretta. SEFSC. J.J. . ECML-PKDD 2010, Barcelona, Spain. B. Aditya Prakash. *. ,. . Hanghang. Tong. * ^. , Nicholas . Valler. +. , Michalis Faloutsos. +. , Christos Faloutsos. *. *. Carnegie Mellon University, Pittsburgh USA. Nick Bloom (Stanford & NBER). Harvard, April 23. rd. and 30. th. Talk summarizes . a forthcoming JEP article (& a work-in-progress longer JEL). Talk summarizes . a forthcoming JEP article (& a work-in-progress longer JEL). Time series of snapshot of the world “state” we are interested represented as a set of random variables (RVs). Observable . Hidden . Stationary process (not static) . Markovian. . Property (current state depends only on finite history – typically just previous time slice) . PB 202 . MACROECONOMICS. Continuous Assessment . CA. Total. . Chapter. %. Quiz . Minimum. 3. Chapter. 1, 6, 7. 20. Test . Minimum 1. Chapter 1-4. 20. Tutorial . Minimum 2. Chapter 2&3. 20. Case study . PB 202 . MACROECONOMICS. Continuous Assessment . CA. Total. . Chapter. %. Quiz . Minimum. 3. Chapter. 1, 6, 7. 20. Test . Minimum 1. Chapter 1-4. 20. Tutorial . Minimum 2. Chapter 2&3. 20. Case study . Slides Courtesy of the Methodology Center at . P. enn . S. tate . U. niversity . m. ethodology.psu.edu . Outline. Conceptual Introduction to TVEM. Types of Questions. Data Considerations. TVEM Step-by-step. Scale-Varying Triplet Ranking with Classification Loss. for Facial Age Estimation. Woobin Im, Sungeun Hong, Sung-Eui Yoon, Hyun S. Yang. Age Estimation. Estimating age group or age value from face images. Adam Johnson¹, Paul Bremner. 3. Matt Griebel¹, Brent Erickson¹, Joel Sills. 2. 1. Quartus Engineering Incorporated. 2. NASA Engineering and Safety Center. 3. AeroHydroPLUS. Background. Vibration testing of the Orion Multi-Purpose Crew Vehicle (MPCV) Configuration 4 (C4) Structural Test Article (STA) was performed in the reverberant acoustic chamber at Lockheed Martin. Dave Waltham. Outline. C. roll-Milankovitch. cycles. Application to . c. yclostratigraphy. Earth-Moon system evolution. The time-varying drag problem. Time-evolution of CM cycles and their (big) uncertainties. Delve into the depths of AP Macroeconomics with this comprehensive guide. Explore essential topics, key concepts, and preparation strategies for success in the AP exam.

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