Tax shocks with high and low uncertainty

2019 ◽  
Vol 34 (6) ◽  
pp. 972-993
Author(s):  
Fabio Bertolotti ◽  
Massimiliano Marcellino
Keyword(s):  
Tax Shocks ◽  
Low Uncertainty

scholarly journals GNSS-to-GNSS time offsets: study on the broadcast of a common reference time

GPS Solutions ◽  
2021 ◽  
Vol 25 (2) ◽  
Author(s):  
Ilaria Sesia ◽  
Giovanna Signorile ◽  
Tung Thanh Thai ◽  
Pascale Defraigne ◽  
Patrizia Tavella
Keyword(s):  
Time Scales ◽  
Time Scale ◽  
Reference Time ◽  
Single Time ◽  
Common Reference ◽  
Prediction Quality ◽  
Common Time ◽  
Time Offset ◽  
The Impact ◽  
Low Uncertainty

AbstractWe present two different approaches to broadcasting information to retrieve the GNSS-to-GNSS time offsets needed by users of multi-GNSS signals. Both approaches rely on the broadcast of a single time offset of each GNSS time versus one common time scale instead of broadcasting the time offsets between each of the constellation pairs. The first common time scale is the average of the GNSS time scales, and the second time scale is the prediction of UTC already broadcast by the different systems. We show that the average GNSS time scale allows the estimation of the GNSS-to-GNSS time offset at the user level with the very low uncertainty of a few nanoseconds when the receivers at both the provider and user levels are fully calibrated. The use of broadcast UTC prediction as a common time scale has a slightly larger uncertainty, which depends on the broadcast UTC prediction quality, which could be improved in the future. This study focuses on the evaluation of two different common time scales, not considering the impact of receiver calibration, at the user and provider levels, which can nevertheless have an important impact on GNSS-to-GNSS time offset estimation.

scholarly journals Greater fit and a greater gap

2019 ◽  
Vol 26 (4) ◽  
pp. 561-594
Author(s):  
Steven A. Brieger ◽  
Dirk De Clercq ◽  
Jolanda Hessels ◽  
Christian Pfeifer
Keyword(s):  
Life Satisfaction ◽  
Institutional Environment ◽  
Entrepreneurial Activity ◽  
Worker Rights ◽  
Content Type ◽  
Person Environment Fit ◽  
High Power Distance ◽  
High Degree ◽  
The Impact ◽  
Low Uncertainty

Purpose The purpose of this paper is to understand how national institutional environments contribute to differences in life satisfaction between entrepreneurs and employees. Design/methodology/approach Leveraging person–environment fit and institutional theories and using a sample of more than 70,000 entrepreneurs and employees from 43 countries, the study investigates how the impact of entrepreneurial activity on life satisfaction differs in various environmental contexts. An entrepreneur’s life satisfaction arguably should increase when a high degree of compatibility or fit exists between his or her choice to be an entrepreneur and the informal and formal institutional environment. Findings The study finds that differences in life satisfaction between entrepreneurs and employees are larger in countries with high power distance, low uncertainty avoidance, extant entrepreneurship policies, low commercial profit taxes and low worker rights. Originality/value This study sheds new light on how entrepreneurial activity affects life satisfaction, contingent on the informal and formal institutions in a country that support entrepreneurship by its residents.

Inter-laboratory comparison of small water flow calibration facilities with extremely low uncertainty

Measurement ◽  
2016 ◽  
Vol 91 ◽  
pp. 548-556 ◽  
Author(s):  
Noriyuki Furuichi ◽  
Yoshiya Terao ◽  
Shunichiro Ogawa ◽  
Leopoldo Cordova ◽  
Takashi Shimada
Keyword(s):  
Water Flow ◽  
Small Water ◽  
Low Uncertainty

scholarly journals Unknown Unknowns: Uncertainty About Risk and Stock Returns

2018 ◽  
Vol 53 (4) ◽  
pp. 1615-1651 ◽  
Author(s):  
Guido Baltussen ◽  
Sjoerd van Bekkum ◽  
Bart van der Grient
Keyword(s):  
United States ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Markets ◽  
The United States ◽  
Pricing Mechanism ◽  
European Stock Markets ◽  
Low Uncertainty ◽  
High Uncertainty

Stocks with high uncertainty about risk, as measured by the volatility of expected volatility (vol-of-vol), robustly underperform stocks with low uncertainty about risk by 8% per year. This vol-of-vol effect is distinct from (combinations of) at least 20 previously documented return predictors, survives many robustness checks, and holds in the United States and across European stock markets. We empirically explore the pricing mechanism behind the vol-of-vol effect. The evidence points toward preference-based explanations and away from alternative explanations. Collectively, our results show that uncertainty about risk is highly relevant for stock prices.

Impact of Severe Temperature Distortion on Turbine Efficiency

2012 ◽  
Vol 135 (1) ◽  
Author(s):  
Paul F. Beard ◽  
Andy Smith ◽  
Thomas Povey
Keyword(s):  
Computational Study ◽  
Measurement Techniques ◽  
Inlet Temperature ◽  
Turbine Efficiency ◽  
Computational Fluid Dynamics Cfd ◽  
External Flows ◽  
Torque Transducer ◽  
Formed Part ◽  
Low Uncertainty ◽  
The Eu

This paper presents an experimental and computational study of the effect of severe inlet temperature distortion (hot streaks) on the efficiency of the MT1 HP turbine, which is a highly-loaded unshrouded transonic design. The experiments were performed in the Oxford Turbine Research Facility (OTRF) (formerly the TTF at QinetiQ Farnborough): an engine scale, short duration, rotating transonic facility, in which M, Re, Tgas/Twall and N/T01 are matched to engine conditions. The research formed part of the EU Turbine Aero-Thermal External Flows (TATEF II) program. An advanced second generation temperature distortion simulator was developed for this investigation, which allows both radial and circumferential temperature profiles to be simulated. A pronounced profile was used for this study. The system was novel in that it was designed to be compatible with an efficiency measurement system which was also developed for this study. To achieve low uncertainty (bias and precision errors of approximately 1.5% and 0.2% respectively, to 95% confidence), the mass flow rate of the hot and cold streams used to simulate temperature distortion were independently metered upstream of the turbine nozzle using traceable measurement techniques. Turbine power was measured directly with an accurate torque transducer. The efficiency of the test turbine was evaluated experimentally for a uniform inlet temperature condition, and with pronounced temperature distortion. Mechanisms for observed changes in the turbine exit flow field and efficiency are discussed. The data are compared in terms of flow structure to full stage computational fluid dynamics (CFD) performed using the Rolls Royce Hydra code.

scholarly journals Promoting COVID-19 Vaccination: The Interplay of Message Framing, Psychological Uncertainty, and Public Agency as a Message Source

2021 ◽  
pp. 107554702110481
Author(s):  
Yan Huang ◽  
Wenlin Liu
Keyword(s):  
Interaction Effect ◽  
Message Framing ◽  
Psychological Reactance ◽  
Message Design ◽  
Public Agency ◽  
Message Source ◽  
Thought Listing ◽  
Loss Frame ◽  
Low Uncertainty ◽  
High Uncertainty

The study examines how framing, psychological uncertainty, and agency type influence campaign effectiveness in promoting coronavirus disease 2019 (COVID-19) vaccines. A 2 (gain vs. loss frame) × 2 (high vs. low uncertainty) × 2 (national vs. local agency) between-subjects experiment was conducted among Houston residents ( N = 382). Findings revealed that a loss frame was more effective among participants primed with high uncertainty through a thought-listing task; however, it was less persuasive under conditions of low uncertainty due to increased psychological reactance. Moreover, there was an interaction effect between uncertainty and agency type on vaccine beliefs. The study contributes to the framing literature by identifying psychological uncertainty as a moderator and provides useful suggestions for vaccine message design.

scholarly journals Reducing Uncertainty Using Placement and Regrasp Planning on a Triangular Corner Fixture

2021 ◽  
Author(s):  
Zhengtao Hu ◽  
Weiwei Wan ◽  
Keisuke Koyama ◽  
Kensuke Harada
Keyword(s):  
High Precision ◽  
Position Control ◽  
Geometric Constraints ◽  
Planning Method ◽  
Experimental Section ◽  
Assembly Tasks ◽  
Low Uncertainty

This paper presented an regrasp planning method to eliminate grasp uncertainty while considering the geometric constraints of a fixture. The method automatically finds the Stable Placement Poses (SPPs) of an object on a Triangular Corner Fixture (TCF), elevates the object from its SPPs to dropping poses and finds the Deterministic Dropping Poses (DDPs), builds regrasp graphs by using the SPP-DDP pairs and their associated grasp configurations, and searches the graph to find regrasp motion sequences for precise assembly. Since the SPPs and their associated regrasps are constrained by the TCF's geometry and have high precision, the final object poses regrasped via it has low uncertainty and can be directly used for assembly by position control. In the experimental section, we study the performance of analytical and learning-based methods for estimating the DDPs of different objects and quantitatively examine the proposed method's ability to suppress uncertainty using assembly tasks like peg-in-hole insertion and sheathing tubes, aligning holes, mounting bearing housings, etc. The results demonstrate the method's robustness and efficacy.

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