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Fiscal Foresight and Information Flows

2013 Econometrica  
Simple theoretical examples show that foresight produces equilibrium time series with nonfundamental representations, which misalign the agents' and the econometrician's information sets.  ...  The paper documents the sensitivity of econometric inferences of tax effects to details about how tax information flows into the economy.  ...  As a result, the equilibrium is quite likely not to be invertible. Information Flows and Forecast Errors.  ... 
doi:10.3982/ecta8337 fatcat:dtfogjtrwbfb5ictxksx5d5oma

Fiscal Foresight and Information Flows

Todd B. Walker, Eric M. Leeper, Shu-Chun S. Yang
2012 IMF Working Papers  
Simple theoretical examples show that foresight produces equilibrium time series with nonfundamental representations, which misalign the agents' and the econometrician's information sets.  ...  The paper documents the sensitivity of econometric inferences of tax effects to details about how tax information flows into the economy.  ...  As a result, the equilibrium is quite likely not to be invertible. Information Flows and Forecast Errors.  ... 
doi:10.5089/9781475504354.001 fatcat:owbff4fakram5jgrnk543autoe

Information Flows and Disagreement

Cristian Badarinza, Marco Gross
2012 Social Science Research Network  
To that end, we follow three routes: i) We propose different measures of information flow that have either a sender or a receiver perspective; ii) We present empirical results for the US and selected EU  ...  The aim of this study is to assess the extent to which the degree of heterogeneity of inflation expectations is driven by the flow of information related to current and future price developments.  ...  The two key elements of our analysis are the measurement of the inflationrelated information flow and the quantification of cross-sectional disagreement in inflation expectations.  ... 
doi:10.2139/ssrn.2148383 fatcat:i3k47mz4b5bjnn5xtsojp57emm

A flood-based information flow analysis and network minimization method for gene regulatory networks

Andreas Pavlogiannis, Vadim Mozhayskiy, Ilias Tagkopoulos
2013 BMC Bioinformatics  
Results: This paper introduces the theory of network flooding, which aims to address the problem of network minimization and regulatory information flow in gene regulatory networks.  ...  Further extension of the proposed theory has the potential to lead in a unifying framework for the simultaneous network minimization and information flow analysis across various "omics" levels.  ...  This work was supported by the University of California opportunity fund and NSF award to IT.  ... 
doi:10.1186/1471-2105-14-137 pmid:23617932 pmcid:PMC3672003 fatcat:mt6ut5odhze35jrdzrbdztfsdq

Jumps and Information Flow in Financial Markets

Suzanne S. Lee
2009 Social Science Research Network  
I also present firm-specific jump predictors of earnings release, analyst recommendation, and dividend dates along with the jump clustering effect.  ...  The test allows us to pin down relevant information for jump prediction up to the intraday level.  ...  Model for Stage II and Empirical Results In this subsection, I specify a parametric jump intensity model for Stage II and discuss the estimation results presented in Table 5 dΛ θ (t) = 1 1 + exp(−θ  ... 
doi:10.2139/ssrn.1571755 fatcat:jkvwiq6vmnetzlqtmjp37gycxu

Analysis of fan-stage gap-flow data to inform simulation of fan broadband noise

Sheryl Grace, Ignacio Gonzalez-Martino, Damiano Casalino
2019 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
This article is part of the theme issue 'Frontiers of aeroacoustics research: theory, computation and experiment'.  ...  Comparison of the flow quantities with previously obtained Reynolds Averaged Navier-Stokes simulation results indicates that little advantage is gained by running a lattice Boltmann method (LBM)/VLES to  ...  Emeritus Victor Yakhot and past BU RCS staff member Douglas Sondak are recognized for providing the quantitative assessment method for the interstage turbulent flow.  ... 
doi:10.1098/rsta.2019.0080 pmid:31607249 pmcid:PMC6801395 fatcat:vmjkwtgyczfuzdlfdr6pcn6jq4

Strange Attractors, Chaotic Behavior, and Information Flow

Robert Shaw
1981 Zeitschrift fur Naturforschung A-A Journal of Physical Sciences  
Simple system equations displaying turbulent behavior are reviewed in the light of information theory.  ...  A comment is made on the commonplace occurrence of information producing systems in the real world, and on their possible relation to 1/f noise  ...  Presented below are the results of a numerical experiment on the above map in the region r < 4.  ... 
doi:10.1515/zna-1981-0115 fatcat:qpil7dma35d37lxjqbwwwfdfqy

Unruh effect and information flow

Boris Sokolov, Jorma Louko, Sabrina Maniscalco, Iiro Vilja
2020 Physical Review D  
Our results demonstrate the existence of a connection between the trajectory of the detector in Minkowski space and the behavior of information flow.  ...  This allows us to inspect the Unruh effect under a new light, making use of the latest developments in quantum information theory and open quantum systems.  ...  IV, we discuss our results and present conclusions. II.  ... 
doi:10.1103/physrevd.101.024047 fatcat:iehyu25nkrgg3kafirmr6rt5g4

Uncertainty Quantification for Turbulent Mixing Flows: Rayleigh-Taylor Instability [chapter]

T. Kaman, R. Kaufman, J. Glimm, D. H. Sharp
2012 IFIP Advances in Information and Communication Technology  
New results are presented here for macro and micro observables.  ...  For the micro observables, recent theories argue that convergence of numerical simulations in Large Eddy Simulations (LES) should be governed by space-time dependent probability distribution functions  ...  Computational resources were provided by the Stony Brook Galaxy cluster and the Stony Brook/BNL New York Blue Gene/L IBM machine.  ... 
doi:10.1007/978-3-642-32677-6_14 fatcat:g5ddqxe2avfa5etqxpknlmiitu

Mobility and Information Flow: Percolation in a Multi-Agent Model

Martine Collard, Philippe Collard, Erick Stattner
2012 Procedia Computer Science  
Simulations are conducted on a multi-agent programmable environment. Our experimental results clearly demonstrate positive correlations between agent mobility factors and percolation thresholds.  ...  We present a first stage of our work in which we focus on percolation processes as information flow mechanisms.  ...  We show how much and why individual mobility may have an impact on (i) social behavior at the individual level and (ii) afterwards at global level on the information flow through social links when these  ... 
doi:10.1016/j.procs.2012.06.007 fatcat:4vco6vnn3rf4vbc7ienmnyu4oi

Hybrid CSA optimization with seasonal RVR in traffic flow forecasting

2017 KSII Transactions on Internet and Information Systems  
exponential smoothing (DSHWES), and the relevance vector regression with hybrid Chaotic Simulated Annealing method (RVRCSA) models.  ...  Accurate traffic flow forecasting is critical to the development and implementation of city intelligent transportation systems.  ...  We constrained the parameters to lie between zero and one. The resultant parameters for the 10 load series are presented in Table II .  ... 
doi:10.3837/tiis.2017.10.011 fatcat:ses2ki3pizfgtmyebmqijcoryu

Modelling information flow for organisations: A review of approaches and future challenges

Christopher Durugbo, Ashutosh Tiwari, Jeffrey R. Alcock
2013 International Journal of Information Management  
Modelling information flow for organisations is a challenging task that enables analysts and managers to better understand how to: organise and coordinate processes, eliminate redundant information flows  ...  The purpose of this article is to review literature for diagrammatically and mathematically modelling information flow for organisations and to identify problems facing information flow modelling research  ...  (2006), Orr (1977) , Petri and Reisig (2008) , Ross and Schoman (1977) , Staley and Sutcliffe (1974) , Warnier (1981) .  ... 
doi:10.1016/j.ijinfomgt.2013.01.009 fatcat:fd7fzwvobfdpdkcm54vg4rpfm4

Quantifying, characterizing, and controlling information flow in ultracold atomic gases

P. Haikka, S. McEndoo, G. De Chiara, G. M. Palma, S. Maniscalco
2011 Physical Review A. Atomic, Molecular, and Optical Physics  
We place a particular emphasis on non-Markovian dynamics, characterized by a reversed flow of information from the background gas to the qubit and identify a controllable crossover between Markovian and  ...  We study quantum information flow in a model comprising of an impurity qubit immersed in a Bose-Einstein condensed reservoir.  ...  This work was supported by the Emil Aaltonen foundation, the Finnish Cultural foundation, and the Spanish MICINN (Juan de la Cierva, FIS2008-01236, and QOIT-Consolider Ingenio 2010), Generalitat de Catalunya  ... 
doi:10.1103/physreva.84.031602 fatcat:wtfoeef6prddzfg45hncqk6jay

On optimising personal network size to manage information flow

Yu-En Lu, Sam Roberts, Tammy M.K. Cheng, Robin Dunbar, Pietro Lió, Jon Crowcroft
2009 Proceeding of the 1st ACM international workshop on Complex networks meet information & knowledge management - CNIKM '09  
The results suggests that if the rate of information flow is increased, for example by using electronic communication rather than face-to-face communication, this could * have a dramatic influence on the  ...  We demonstrate that there are three critical parameters which influence how information flows through a social network: the mean PN size, the variance in PN size and the rate at which information passes  ...  Acknowledgment YEL would like to thank Steven Hand, Andrew Moore, and Mirco Musolesi for useful suggestions and comments.  ... 
doi:10.1145/1651274.1651279 dblp:conf/cikm/LuRCDLC09 fatcat:2xr5pktv7zdqjpqr6yusur4zya

A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons

Maya Maimon, Larry Manevitz
2007 Journal of combinatorial optimization  
In this work, a simulation model appropriate for working with large number of neurons was developed, and Information Theory measuring tools were designed to monitor the flow of information in such large  ...  Keywords Large scale neural simulator · Temporal discrete integrate and fire · Information theory · Bias or priming hypothesis Introduction It is well known that the human cortex is extremely large in  ...  Leonardo Franco is particularly thanked for explicating the use of information theory in this context and Paul Gabbott is thanked for painstakingly describing various aspects of physiology.  ... 
doi:10.1007/s10878-007-9103-3 fatcat:qufoexdv2rhnfheozwaebglapy
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