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Статті в журналах з теми "Uncertainty and fluctuations"
Bloom, N. "Fluctuations in uncertainty." Voprosy Ekonomiki, no. 4 (April 20, 2016): 30–55. http://dx.doi.org/10.32609/0042-8736-2016-4-30-55.
Повний текст джерелаBloom, Nicholas. "Fluctuations in Uncertainty." Journal of Economic Perspectives 28, no. 2 (May 1, 2014): 153–76. http://dx.doi.org/10.1257/jep.28.2.153.
Повний текст джерелаMumtaz, Haroon, and Paolo Surico. "Policy uncertainty and aggregate fluctuations." Journal of Applied Econometrics 33, no. 3 (January 19, 2018): 319–31. http://dx.doi.org/10.1002/jae.2613.
Повний текст джерелаPries, Michael J. "Uncertainty-driven labor market fluctuations." Journal of Economic Dynamics and Control 73 (December 2016): 181–99. http://dx.doi.org/10.1016/j.jedc.2016.09.003.
Повний текст джерелаHua, Junguo, Hui Li, Zejun He, Jing Ding, and Futong Jin. "The Microcosmic Mechanism and Empirical Test of Uncertainty on the Non-Linear Fluctuation of Chinese Grain Prices-Based on the Perspective of Global Economic Policy Uncertainty." Agriculture 12, no. 10 (September 22, 2022): 1526. http://dx.doi.org/10.3390/agriculture12101526.
Повний текст джерелаNaixement, Luciano, and Carlos H. Béssa. "Quantum vacuum fluctuations in inorganic compound CdSe." MOMENTO, no. 66 (January 2, 2023): 23–40. http://dx.doi.org/10.15446/mo.n66.103486.
Повний текст джерелаCreal, Drew D., and Jing Cynthia Wu. "MONETARY POLICY UNCERTAINTY AND ECONOMIC FLUCTUATIONS." International Economic Review 58, no. 4 (November 2017): 1317–54. http://dx.doi.org/10.1111/iere.12253.
Повний текст джерелаJavaid, Saher, Mineo Kaneko, and Yasuo Tan. "Structural Condition for Controllable Power Flow System Containing Controllable and Fluctuating Power Devices." Energies 13, no. 7 (April 2, 2020): 1627. http://dx.doi.org/10.3390/en13071627.
Повний текст джерелаReiche, Daniel, Jen-Tsung Hsiang, and Bei-Lok Hu. "Quantum Thermodynamic Uncertainty Relations, Generalized Current Fluctuations and Nonequilibrium Fluctuation–Dissipation Inequalities." Entropy 24, no. 8 (July 23, 2022): 1016. http://dx.doi.org/10.3390/e24081016.
Повний текст джерелаSoret, Ariane, Ohad Shpielberg, and Eric Akkermans. "Uncertainty relations for mesoscopic coherent light." Journal of Statistical Mechanics: Theory and Experiment 2021, no. 12 (December 1, 2021): 123302. http://dx.doi.org/10.1088/1742-5468/ac3e6b.
Повний текст джерелаДисертації з теми "Uncertainty and fluctuations"
Dadwal, Raman, and Ahmad Ziad. "Managing fluctuations in Overall Equipment Effectiveness : A Fuzzy approach." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Industriell organisation och produktion, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-47065.
Повний текст джерелаBrianti, Marco. "Essays in Macroeconomics:." Thesis, Boston College, 2021. http://hdl.handle.net/2345/bc-ir:109064.
Повний текст джерелаThe dissertation studies the primary sources of business-cycle fluctuations and their interaction with uncertainty and financial frictions. In my work, I examine the degree to which changes in uncertainty and financial conditions can be independent drivers of economic fluctuations; I study the sources of boom-bust cycles and whether they are linkedto credit market sentiments; and I ask how financial frictions affect economic fluctuations in terms of prices and quantities. In "Financial and Uncertainty Shocks", I separately identify financial and uncertainty shocks using a novel SVAR procedure and discuss their distinct monetary policy implications. The procedure relies on the qualitatively different responses of corporate cash holdings: after a financial shock, firms draw down their cash reserves as they lose access to external finance, while uncertainty shocks drive up cash holdings for precautionary reasons. Although both financial and uncertainty shocks are contractionary, my results show that the former are inflationary while the latter generate deflation. I rationalize this pattern in a New-Keynesian model: after a financial shock, firms increase prices to raise current liquidity; after an uncertainty shock, firms cut prices in response to falling demand. These distinct channels have stark monetary policy implications: conditional on uncertainty shocks the divine coincidence applies, while in case of financial shocks the central bank can stabilize inflation only at the cost of more unstable output fluctuations. In "What are the Sources of Boom-Bust Cycles?", joint with Vito Cormun, we provide a synthesis of two major views on economic fluctuations. One view maintains that expansions and recessions arise from the interchange of positive and negative persistent exogenous shocks to fundamentals. This is the conventional view that gave rise to the profusion of shocks used in modern dynamic stochastic general equilibrium models. In contrast, a second view, which we call the endogenous cycles view, holds that business cycle fluctuations are due to forces that are internal to the economy and that endogenously favor recurrent periods of boom followed by a bust. In this environment, cycles can occur after small perturbations of the long run equilibrium. We find empirical evidence pointing at the coexistence of both views. In particular, we find that the cyclical behaviour of economic aggregates is due in part to strong internal mechanisms that generate boom-bust phenomena in response to small changes in expectations, and in part to the interchange of positive and negative persistent fundamental shocks. Motivated by our findings, we build a theory that unifies the dominant paradigm with the endogenous cycles approach. Our theory suggests that recessions and expansions are intimately related phenomena, and that understanding the nature of an expansion, whether it is driven by fundamentals or by beliefs, is a first order issue for policy makers whose mandate is to limit the occurrance of inefficient economic fluctuations. In "COVID-19 and Credit Constraints'', joint with Pierluigi Balduzzi, Emanuele Brancati, and Fabio Schiantarelli, we investigate the economic effects of the COVID-19 pandemic and the role played by credit constraints in the transmission mechanism, using a novel survey of expectations and plans of Italian firms, taken just before and after the outbreak. Most firms revise downward their expectations for sales, orders, employment, and investment, while prices are expected to increase at a faster rate, with geographical and sectoral heterogeneity in the size of the effects. Credit constraints amplify the effects on factor demand and sales of the COVID-19 generated shocks. Credit-constrained firms also expect to charge higher prices, relative to unconstrained firms. The search for and availability of liquidity is a key determinant of firms' plans. Finally, both supply and demand shocks play a role in shaping firms' expectations and plans, with supply shocks being slightly more important in the aggregate
Thesis (PhD) — Boston College, 2021
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Economics
Fisch, Jan Hendrik, and Jan-Michael Ross. "Timing Product Replacements under Uncertainty: The Importance of Material' Price Fluctuations for the Success of Products That Are Based on New Materials." Wiley-Blackwell, 2014. http://dx.doi.org/10.1111/jpim.12145.
Повний текст джерелаDojava, Václav. "Stanovení standardní nejistoty při konfirmaci teplotní komory." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377087.
Повний текст джерелаScipioni, Angel. "Contribution à la théorie des ondelettes : application à la turbulence des plasmas de bord de Tokamak et à la mesure dimensionnelle de cibles." Thesis, Nancy 1, 2010. http://www.theses.fr/2010NAN10125.
Повний текст джерелаThe necessary scale-based representation of the world leads us to explain why the wavelet theory is the best suited formalism. Its performances are compared to other tools: R/S analysis and empirical modal decomposition method (EMD). The great diversity of analyzing bases of wavelet theory leads us to propose a morphological approach of the analysis. The study is organized into three parts. The first chapter is dedicated to the constituent elements of wavelet theory. Then we will show the surprising link existing between recurrence concept and scale analysis (Daubechies polynomials) by using Pascal's triangle. A general analytical expression of Daubechies' filter coefficients is then proposed from the polynomial roots. The second chapter is the first application domain. It involves edge plasmas of tokamak fusion reactors. We will describe how, for the first time on experimental signals, the Hurst coefficient has been measured by a wavelet-based estimator. We will detail from fbm-like processes (fractional Brownian motion), how we have established an original model perfectly reproducing fBm and fGn joint statistics that characterizes magnetized plasmas. Finally, we will point out the reasons that show the lack of link between high values of the Hurst coefficient and possible long correlations. The third chapter is dedicated to the second application domain which is relative to the backscattered echo analysis of an immersed target insonified by an ultrasonic plane wave. We will explain how a morphological approach associated to a scale analysis can extract the diameter information
HAUNG, CHI-HSIANG, and 黃氣祥. "Stochastic sediment transport modeling: fluctuation sediment concentrations, Non-Fickian diffusivity, settling velocity uncertainty." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/5bjc84.
Повний текст джерела國立臺灣大學
土木工程學研究所
105
The uncertainty of the sediment transport cannot be neglected according to the turbulent bursting. The study adapted two methods to calculated the uncertainty of sediment transport and one method to improved uncertainty analysis method. The first method (first topic) is based on the advection diffusion equation which is in diffusion region. The uncertain of the movement of the sediment particle can be simulated by stochastic particle tracking method(SPTM). By Markov Chain, SPTM can be simplified and calculated the uncertainty of the sediment concentration efficiency. First, the uncertainty of the spatial and temporal sediment concertation caused by the particle size can be calculated. With a similar particle size, the change of temporal sediment concertation is explicit. Secondly the uncertain of the equilibrium sediment concentration caused by fluctuation of turbulence will be estimated. The result of sediment concertation by proposed model is validated against the experiment data and can better describe sediment concentration than the deterministic model (Rouse profile). The first method is more suitable to described the sediment concentration under condition of suspended load. The second method is focus on the trajectory of the sediment particle in non-diffusion region. The particle is force by lifting, gravity, drag, Buoyancy forces. To calculated the foundation force, the more accuracy flow velocity is created by gram charily expansion which considering four order moment of the fluctuation. The bed condition in the study adapt a rebound process. The particle will collide with stochastic particle alignment. In this (second) topic, firstly, the saltation length and height calculated by the proposed model will be validated by experiment. The saltation length and height in the smooth bed is higher than that in rough bed. Secondly the sediment concentration under suspend and bed load condition is compared with Rouse profile and experiment data. Third the supdiffusion and subdiffusion will be discussed. In the first and second topic, the uncertainty of the sediment concentration is calculated by the Monte Carlo Simulation which is extremely time consuming. In the third topic, two new methods are provided. The results simulated by two methods are compared with Simpson method. The first method is derived from the point estimated method(PEM) which only used two or three points. By increasing the accuracy of the simulated result by PEM, the adequative method is used to increase the simulation points. Secondly, Gram Charlier expansion and Hermit Gauss Quadrature is adapted to calculated by uncertainty in the second method. First method is suitable when the simulation points are few and the distribution of the random variable is known. The second method is suitable when the statistical moment of the random variable is only known. The converge of the second method is faster than the other two methods.Key words: Particle tracking method, Markov chain, higher order flow field, Modified Hermite Gauss integral, Adequative Hong’s method.
Tao, Szu-Ying, and 陶思穎. "The Relation between Business Fluctuation, Uncertainty and Organizational Commitment- The Moderating Effect of Manager’s Origin." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/93372g.
Повний текст джерела銘傳大學
國際企業學系碩士班
101
Since the continuously financial crisis goes on, there have been severe problems unsolved for both labour market and business management over the past few years. For the purpose of relieving these problems, the study hereby inspects the relation between business fluctuation, uncertainty and organizational commitment in both inside-succeed and outside-succeed manager’s department. According to the survey, the empirical results show that (1) there is no correlation between business fluctuation and uncertainty, (2) uncertainty is negatively and significantly correlated with organizational commitment, and (3) the correlation between business fluctuation to uncertainty and uncertainty to organizational commitment are both stronger in the department of inside-succeed manager than they used to be. As a consequence, business can take the advantage of inside-succeed manager’s department to control over the performance and explicit succession plan, since the employees have better organizational commitment.
Книги з теми "Uncertainty and fluctuations"
Mordecai, Kurz, ed. Endogenous economic fluctuations: Studies in the theory of rational beliefs. Berlin: Springer-Verlag, 1997.
Знайти повний текст джерелаKurz, Mordecai. Endogenous Economic Fluctuations: Studies in the Theory of Rational Beliefs. Springer, 2011.
Знайти повний текст джерелаMilonni, Peter W. An Introduction to Quantum Optics and Quantum Fluctuations. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199215614.001.0001.
Повний текст джерела(Foreword), J. A. Kregel, and Cecile Dangel (Translator), eds. Finance, Investment and Economic Fluctuations: An Analysis in the Tradition of Hyman P. Minsky (Elgar Monographs). Edward Elgar Publishing, 2000.
Знайти повний текст джерелаKurz, Mordecai. Endogenous Economic Fluctuations: Studies in the Theory of Rational Beliefs (Studies in Economic Theory). Springer, 1997.
Знайти повний текст джерелаStrasberg, Philipp. Quantum Stochastic Thermodynamics. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192895585.001.0001.
Повний текст джерелаPeter, Huber. Ch.7 Non-performance, s.3: Termination, Art.7.3.2. Oxford University Press, 2015. http://dx.doi.org/10.1093/law/9780198702627.003.0143.
Повний текст джерелаFinfer, Simon. Glycaemic control in critical illness. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0259.
Повний текст джерелаHarcourt, G. C., and Peter Kriesler, eds. The Oxford Handbook of Post-Keynesian Economics, Volume 2. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780195390759.001.0001.
Повний текст джерелаChristensen, Ole Bøssing, and Erik Kjellström. Projections for Temperature, Precipitation, Wind, and Snow in the Baltic Sea Region until 2100. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.695.
Повний текст джерелаЧастини книг з теми "Uncertainty and fluctuations"
Pfeiffer, Friedhelm, and Winfried Pohlmeier. "Income, Uncertainty and the Probability of Self-Employment." In Output and Employment Fluctuations, 23–39. Heidelberg: Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-57989-9_4.
Повний текст джерелаNakazawa, Koju, and John D. Hey. "Consumption with Fluctuations in Preference." In Economic and Environmental Risk and Uncertainty, 173–92. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-017-1360-3_12.
Повний текст джерелаHalperin, Ricardo A. "Theories of Business Fluctuations." In The Influence of Uncertainty in a Changing Financial Environment, 151–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48778-6_7.
Повний текст джерелаFlaig, Gebhard. "Demand Uncertainty and Labour Input in a Bivariate ARCH-M Model." In Output and Employment Fluctuations, 9–22. Heidelberg: Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-57989-9_3.
Повний текст джерелаVercelli, Alessandro. "Uncertainty, Technological Flexibility and Long Term Fluctuations." In Lecture Notes in Economics and Mathematical Systems, 130–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-48360-8_8.
Повний текст джерелаFerrara, Laurent, Stéphane Lhuissier, and Fabien Tripier. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges." In Financial and Monetary Policy Studies, 159–81. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-79075-6_9.
Повний текст джерелаEliáš, Jan, Miroslav Vořechovský, and Jia-Liang Le. "Fracture Simulations of Concrete Using Discrete Meso-level Model with Random Fluctuations of Material Parameters." In Multiscale Modeling and Uncertainty Quantification of Materials and Structures, 3–18. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06331-7_1.
Повний текст джерелаRao, K. Balaji. "Characterisation of Large Fluctuations in Response Evolution of Reinforced Concrete Members." In Proceedings of the International Symposium on Engineering under Uncertainty: Safety Assessment and Management (ISEUSAM - 2012), 259–95. India: Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0757-3_15.
Повний текст джерелаSchmidt-Böcking, H., S. Eckart, H. J. Lüdde, G. Gruber, and T. Jahnke. "The Precision Limits in a Single-Event Quantum Measurement of Electron Momentum and Position." In Molecular Beams in Physics and Chemistry, 223–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63963-1_12.
Повний текст джерелаShimamura, Sho, and Kouichi Hirata. "Introducing Fluctuation into Increasing Order of Symmetric Uncertainty for Consistency-Based Feature Selection." In Lecture Notes in Computer Science, 550–65. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14812-6_34.
Повний текст джерелаТези доповідей конференцій з теми "Uncertainty and fluctuations"
Korcz, Karol. "Uncertainty In Measuring Noise Parameters Of a Communication Receiver." In NOISE AND FLUCTUATIONS: 18th International Conference on Noise and Fluctuations - ICNF 2005. AIP, 2005. http://dx.doi.org/10.1063/1.2036845.
Повний текст джерелаKadim, HJ. "Optimal fluctuations for satisfactory performance under parameter uncertainty." In Test Symposium (EWDTS). IEEE, 2011. http://dx.doi.org/10.1109/ewdts.2011.6116590.
Повний текст джерелаSpathis, C., A. Birbas, K. Georgakopoulou, and M. Birbas. "Noise and uncertainty in comparator/TDC sensor readout circuits." In 2017 International Conference on Noise and Fluctuations (ICNF). IEEE, 2017. http://dx.doi.org/10.1109/icnf.2017.7985972.
Повний текст джерелаPlanat, Michel, and Haret Rosu. "Quantum phase uncertainty in mutually unbiased measurements and Gauss sums." In SPIE Third International Symposium on Fluctuations and Noise, edited by Philip R. Hemmer, Julio R. Gea-Banacloche, Peter Heszler, Sr., and M. Suhail Zubairy. SPIE, 2005. http://dx.doi.org/10.1117/12.608976.
Повний текст джерелаXie, Pingping, Jizhong Zhu, Jin Zou, and Peizheng Xuan. "Uncertainty Analysis of Wind Power Fluctuations in Yunnan Power Grid." In 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). IEEE, 2019. http://dx.doi.org/10.1109/isgt-asia.2019.8881321.
Повний текст джерелаWang, Lihui, Zhenkai Liu, Weiming Shen, and Sherman Lang. "Function-Block Enabled Job Shop Planning and Control With Uncertainty." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59279.
Повний текст джерелаFabre, J. P., and Warren T. Wood. "Uncertainty of transmission loss due to small scale fluctuations of sound speed in two environments." In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4800898.
Повний текст джерелаKaddour, Mejdi. "Robust routing and link scheduling in cognitive radio networks under channel uncertainty and demand fluctuations." In 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2016. http://dx.doi.org/10.1109/ccnc.2016.7444758.
Повний текст джерелаSyarifuddin, Ferry. "The Exchange Rate Volatility in Indonesia and Policy Response." In International Conference on Eurasian Economies. Eurasian Economists Association, 2014. http://dx.doi.org/10.36880/c05.00886.
Повний текст джерелаHan, Jeongwoo, and Panos Papalambros. "Optimal Design of Hybrid Electric Fuel Cell Vehicles Under Uncertainty and Enterprise Considerations." In ASME 2008 6th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2008. http://dx.doi.org/10.1115/fuelcell2008-65111.
Повний текст джерелаЗвіти організацій з теми "Uncertainty and fluctuations"
Bloom, Nicholas. Fluctuations in Uncertainty. Cambridge, MA: National Bureau of Economic Research, December 2013. http://dx.doi.org/10.3386/w19714.
Повний текст джерелаCreal, Drew, and Jing Cynthia Wu. Monetary Policy Uncertainty and Economic Fluctuations. Cambridge, MA: National Bureau of Economic Research, October 2014. http://dx.doi.org/10.3386/w20594.
Повний текст джерелаChiang, Yu-Ting. Attention and Fluctuations in Macroeconomic Uncertainty. Federal Reserve Bank of St. Louis, 2022. http://dx.doi.org/10.20955/wp.2022.004.
Повний текст джерелаAlessandria, George, Horag Choi, Joseph Kaboski, and Virgiliu Midrigan. Microeconomic Uncertainty, International Trade, and Aggregate Fluctuations. Cambridge, MA: National Bureau of Economic Research, October 2014. http://dx.doi.org/10.3386/w20616.
Повний текст джерелаUnal, Beyza, Julia Cournoyer, Calum Inverarity, and Yasmin Afina. Uncertainty and complexity in nuclear decision-making. Royal Institute of International Affairs, March 2022. http://dx.doi.org/10.55317/9781784135157.
Повний текст джерелаBielinskyi, Andriy, Serhiy Semerikov, Oleksandr Serdiuk, Victoria Solovieva, Vladimir Soloviev, and Lukáš Pichl. Econophysics of sustainability indices. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4118.
Повний текст джерелаDecember 2019 issue – The Bridge. ACAMH, November 2019. http://dx.doi.org/10.13056/acamh.9715.
Повний текст джерела