Academic literature on the topic 'Time-Varying Effects'
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Journal articles on the topic "Time-Varying Effects"
Bandi, Federico M., and Roberto Renò. "Time-varying leverage effects." Journal of Econometrics 169, no. 1 (July 2012): 94–113. http://dx.doi.org/10.1016/j.jeconom.2012.01.010.
Full textTanaka, Shiro, Yutaka Matsuyama, Masataka Shiraki, and Yasuo Ohashi. "Estimating the Effects of Time-Varying Treatments." Epidemiology 18, no. 5 (September 2007): 529–36. http://dx.doi.org/10.1097/ede.0b013e3181271ae2.
Full textLEONOV, G. A., and N. V. KUZNETSOV. "TIME-VARYING LINEARIZATION AND THE PERRON EFFECTS." International Journal of Bifurcation and Chaos 17, no. 04 (April 2007): 1079–107. http://dx.doi.org/10.1142/s0218127407017732.
Full textBrand, Jennie E., and Yu Xie. "11. Identification and Estimation of Causal Effects with Time-Varying Treatments and Time-Varying Outcomes." Sociological Methodology 37, no. 1 (August 2007): 393–434. http://dx.doi.org/10.1111/j.1467-9531.2007.00185.x.
Full textDekker, Friedo W., Renée de Mutsert, Paul C. van Dijk, Carmine Zoccali, and Kitty J. Jager. "Survival analysis: time-dependent effects and time-varying risk factors." Kidney International 74, no. 8 (October 2008): 994–97. http://dx.doi.org/10.1038/ki.2008.328.
Full textRuhe, Constantin. "Quantifying Change Over Time: Interpreting Time-varying Effects In Duration Analyses." Political Analysis 26, no. 1 (January 2018): 90–111. http://dx.doi.org/10.1017/pan.2017.35.
Full textMcShane, Michael, and Trung Nguyen. "Time-varying effects of cyberattacks on firm value." Geneva Papers on Risk and Insurance - Issues and Practice 45, no. 4 (May 28, 2020): 580–615. http://dx.doi.org/10.1057/s41288-020-00170-x.
Full textBalli, Hatice Ozer, Faruk Balli, and Rosmy Jean Louis. "Time-Varying Spillover Effects on Sectoral Equity Returns." International Review of Finance 13, no. 1 (November 8, 2011): 67–91. http://dx.doi.org/10.1111/j.1468-2443.2011.01143.x.
Full textBenchimol, Jonathan, and Irfan Qureshi. "Time-varying money demand and real balance effects." Economic Modelling 87 (May 2020): 197–211. http://dx.doi.org/10.1016/j.econmod.2019.07.020.
Full textSauerbrei, Willi, Patrick Royston, and Norbert Holländer. "S41.3: Modelling time-varying effects in survival data." Biometrical Journal 46, S1 (March 2004): 89. http://dx.doi.org/10.1002/bimj.200490296.
Full textDissertations / Theses on the topic "Time-Varying Effects"
Nwoko, Onyekachi Esther. "Approaches for Handling Time-Varying Covariates in Survival Models." Master's thesis, Faculty of Science, 2019. http://hdl.handle.net/11427/31187.
Full textKita, Hajime. "STUDIES ON ECONOMIC EFFECTS OF TIME-VARYING PRICING IN ENERGY SUPPLY SYSTEMS." Kyoto University, 1991. http://hdl.handle.net/2433/154649.
Full textKyoto University (京都大学)
0048
新制・論文博士
工学博士
乙第7405号
論工博第2432号
新制||工||829(附属図書館)
UT51-91-C138
(主査)教授 西川 禕一, 教授 若林 二郎, 教授 荒木 光彦
学位規則第5条第2項該当
Salinas, Manuel. "Heart Valve Tissue Engineering: A Study of Time Varying Effects and Sample Geometry." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/522.
Full textFrühwirth-Schnatter, Sylvia, Stefan Pittner, Andrea Weber, and Rudolf Winter-Ebmer. "Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering." Institute of Mathematical Statistics, 2018. http://dx.doi.org/10.1214/17-AOAS1132.
Full textSylvestre, Marie-Pierre. "Flexible modelling for the cumulative effects of time-varying exposure, weighted by recency, on the hazard." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=111917.
Full textTo address this challenge, I developed a flexible method for modelling cumulative effects of time-varying exposures, weighted by recency, represented by time-dependent covariates in the Cox proportional hazards model. The function that assigns weights to doses taken in the past is estimated using cubic regression splines. Models with different number of knots and constraints are estimated. Bootstrap techniques are used to obtain pointwise confidence bands around the weight functions, accounting for both the sampling variation of the regression coefficients, and the uncertainty at the model selection stage, i.e. the additional variance due to a posteriori selection of the number of knots.
To assess the method in simulations, I had to develop and validate a novel algorithm to generate event times conditional on time-dependent covariates and compared it with the algorithms available in the literature. The proposed algorithm extends a previously proposed permutational algorithm to include a rejection sampler. While all the algorithms generated data sets that, once analyzed, provided virtually unbiased estimates with comparable variances, the algorithm that I proposed reduced the computational time by more than 50 per cent relative to alternative methods. I used simulations to systematically investigate the properties of the weighted cumulative dose method. Six different weight functions were considered. Simulations showed that in most situations, the proposed method was able to capture the shape of the true weight functions and to produce estimates of the magnitude of the exposure effect on the risk that were close to those used to generate the data. I finally illustrated the use of the weighted cumulative dose modelling by reassessing the association between the use of selected benzodiazepines and fall-related injuries, using administrative data on a cohort of elderly who initiated their use of benzodiazepines between 1990 and 2004.
Hori, Kazuki. "Disaggregating Within-Person and Between-Person Effects in the Presence of Linear Time Trends in Time-Varying Predictors: Structural Equation Modeling Approach." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103624.
Full textDoctor of Philosophy
Educational researchers are often interested in longitudinal phenomena within a person and relations between the person's characteristics. Since repeatedly measured variables reflect their within- and between-person aspects, researchers need to disaggregate them statistically to understand the phenomenon of interest. Recent studies found that the traditional centering method, where the individual's average of a predictor was subtracted from the original predictor value, could not correctly disentangle the within- and between-person effects when the predictor showed a systematic change over time (i.e., trend). They proposed some techniques to remove the trend; however, the detrending methods were only applicable to multilevel models. Therefore, the present study develops novel detrending methods using structural equation modeling. The proposed models are compared to the existing methods through a series of Monte Carlo simulations, where we can manipulate a data-generating model and its parameter values. The results indicate that (a) model misspecification for the time-varying predictor or outcome leads to systematic deviation of the estimates from their true values, (b) statistical properties of estimates of the effects are mostly determined by the type of between-person predictors (i.e., observed or latent), and (c) the latent predictor models require nonzero growth factor variances for unbiased estimation, while the observed predictor models need either nonzero or zero variance, depending on the parameter. As concluding remarks, some recommendations for the practitioners are provided.
Pereira, Manuel Bernardo Videira Coutinho Rodrigues. "Effects of fiscal policy: measurement issues and structural change." Doctoral thesis, Instituto Superior de Economia e Gestão, 2011. http://hdl.handle.net/10400.5/3431.
Full textConsiderable uncertainty surrounds the macroeconomic effects of fiscal policy. The re-search presented in this dissertation firstly aims at improving on the methods used to measure such effects - which feature vector autoregressions (VARs) as the basic tool. The investigation is partly carried out using structural VARs. The methodological innova¬tions in that part concern the joint identification of fiscal shocks vis-a-vis monetary policy shocks and the estimation of a model with time-varying parameters using a non-recursive identification scheme. I also use reduced-form VARs to assess the effects of a novel shock measure, derived from budget forecasts, that is arguably free of anticipatory movements. The second aim of the dissertation is to present empirical results for the US, focusing on the way the impacts of the government budget on the economy have changed over time. The thesis is divided into three essays. In the first one, I present evidence that taxes and transfers were the most important force attenuating the severity of recessions up to the eighties, surpassing the role of monetary policy. Fiscal policy has, however, become less effective in stimulating output in the course of the last decades. The findings in the second and the third essays corroborate this conclusion. Such a change in effectiveness is particularly marked for the shock measure that is relatively unaffected by anticipation, which features multipliers with non-conventional signs in the recent period. In general, these findings call for more research on the factors that intervene in the transmission mechanism of fiscal policy and can bring about important variation in its impacts.
Hwang, Mark I. (Mark Ing-Hwa). "An investigation of the effects of presentation format and time pressure on decision makers performing tasks of varying complexitites." Thesis, University of North Texas, 1990. https://digital.library.unt.edu/ark:/67531/metadc332854/.
Full textSchricker, Ezra. "The Indirect Effects of Mediation: A Dynamic Model of Mediation and Conflict." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1468844108.
Full textBohnert, Julia [Verfasser], and O. [Akademischer Betreuer] Dössel. "Effects of Time-Varying Magnetic Fields in the Frequency Range 1 kHz to 100 kHz upon the Human Body : Numerical Studies and Stimulation Experiment / Julia Bohnert ; Betreuer: O. Dössel." Karlsruhe : KIT Scientific Publishing, 2012. http://d-nb.info/1184494185/34.
Full textBooks on the topic "Time-Varying Effects"
S̆imunić, Dina. Thermal and stimutalting effects of time-varying magnetic fields during MRI. Aachen: Shaker, 1995.
Find full textCho, Young-Hye. Time-varying betas and asymmetric effects of news: Empirical analysis of blue chip stocks. Cambridge, MA: National Bureau of Economic Research, 1999.
Find full textJ, Gordon Robert. The time-varying nairu its implications for economic policy. London: Centre for Economic Policy Research, 1996.
Find full textLanza, Stephanie T., and Ashley N. Linden-Carmichael. Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70944-0.
Full textConway, Roger K. Is the Phillips curve stable?: A time-varying parameter approach. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, Natural Resource Economics Division, 1987.
Find full textConway, Roger K. Is the Phillips curve stable?: A time-varying parameter approach. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, Natural Resource Economics Division, 1987.
Find full textConway, Roger K. Is the Phillips curve stable?: A time-varying parameter approach. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service, Natural Resource Economics Division, 1987.
Find full textJ, Gordon Robert. The time-varying NAIRU and its implications for economic policy. Cambridge, MA: National Bureau of Economic Research, 1996.
Find full textPortugal, Pedro. Short- and long-term joblessness: A semi-parametric model with time- varying effects. University of Hull. Department of Economics, 1996.
Find full textNational Aeronautics and Space Administration (NASA) Staff. Physiological and Molecular Genetic Effects of Time-Varying Electromagnetic Fields on Human Neuronal Cells. Independently Published, 2018.
Find full textBook chapters on the topic "Time-Varying Effects"
West, Mike, and Mark Berliner. "Modelling Time-Varying Hazards and Covariate Effects." In Survival Analysis: State of the Art, 47–62. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-7983-4_4.
Full textSmith, F. T. "Non-Linear Effects and Non-Parallel Flows: The Collapse of Separate Motion." In Stability of Time Dependent and Spatially Varying Flows, 104–47. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4724-1_7.
Full textJoshi, Ravi. "Probing Potential for Cellular Stimulation by Time-Varying Magnetic Fields." In Ultrashort Electric Pulse Effects in Biology and Medicine, 327–38. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-10-5113-5_14.
Full textAgranovsky, Alexy, Harald Obermaier, and Kenneth I. Joy. "A Framework for the Visualization of Finite-Time Continuum Mechanics Effects in Time-Varying Flow." In Advances in Visual Computing, 349–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41939-3_34.
Full textBreu, Dominik A., Christian Holden, and Thor I. Fossen. "Ship Model for Parametric Roll Incorporating the Effects of Time-Varying Speed." In Parametric Resonance in Dynamical Systems, 167–89. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1043-0_9.
Full textNdou, Eliphas, Nombulelo Gumata, and Mthokozisi Mncedisi Tshuma. "Monetary Policy Credibility and the Time-Varying Exchange Rate Pass-Through to Consumer Price Inflation." In Exchange Rate, Second Round Effects and Inflation Processes, 83–95. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13932-2_7.
Full textLi, Dandan, Mei Sun, Dun Han, and Anna Gao. "Consensus Analysis of Multi-Agent System with Impulsive Effects and Time-Varying Delays." In Lecture Notes in Electrical Engineering, 41–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38524-7_5.
Full textAddison, John T., and Pedro Portugal. "Short- and Long-Term Unemployment: A Discrete Duration Model with Time-Varying Covariate Effects." In Labor Markets and Social Security, 105–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24780-7_6.
Full textChng, Michael T., and Gerard L. Gannon. "The Trading Performance of Dynamic Hedging Models: Time Varying Covariance and Volatility Transmission Effects." In Encyclopedia of Finance, 1411–35. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91231-4_61.
Full textChng, Michael T., and Gerard L. Gannon. "The Trading Performance of Dynamic Hedging Models: Time Varying Covariance and Volatility Transmission Effects." In Encyclopedia of Finance, 713–25. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-5360-4_61.
Full textConference papers on the topic "Time-Varying Effects"
Liu, Ruoqi, Changchang Yin, and Ping Zhang. "Estimating Individual Treatment Effects with Time-Varying Confounders." In 2020 IEEE International Conference on Data Mining (ICDM). IEEE, 2020. http://dx.doi.org/10.1109/icdm50108.2020.00047.
Full textFilippi, Alessio, Sri Husen, and Paul Voorthuisen. "Effects of Time Synchronization on OFDM Systems Over Time-Varying Channels." In 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2006. http://dx.doi.org/10.1109/pimrc.2006.253955.
Full textMitchell, David, Thomas Nicoll, David Klyde, and Chase Schulze. "Effects of Time-Varying Rotorcraft Dynamics on Pilot Control." In AIAA Atmospheric Flight Mechanics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-6055.
Full textCecconello, E., E. G. Asgedom, and W. Söllner. "Removal of Time-varying Sea Surface Effects from Seismic Data." In 80th EAGE Conference and Exhibition 2018. Netherlands: EAGE Publications BV, 2018. http://dx.doi.org/10.3997/2214-4609.201801452.
Full textCooper, Darby, Jeffrey Lasater, Robert Sternowski, and William Byrd. "Measuring time-varying propagation effects for LEO satellite communication systems." In 18th International Communications Satellite Systems Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-1157.
Full textHoke, Charles M., John Young, and Joseph Lai. "Time-varying Flexible Airfoil Shape Effects on Flapping Airfoil Power Extraction." In 32nd ASME Wind Energy Symposium. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-1217.
Full textStankovski, Tomislav, Dwain L. Eckberg, and Aneta Stefanovska. "The effects of time-varying breathing on human neurophysiological and cardiovascular mechanisms." In 2014 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO). IEEE, 2014. http://dx.doi.org/10.1109/esgco.2014.6847582.
Full textWu, Sau-hsuan. "Effects of Estimation Errors on the Noncoherent Capacity Over Time-Varying Channels." In IEEE Vehicular Technology Conference. IEEE, 2006. http://dx.doi.org/10.1109/vtcf.2006.356.
Full textRinaldi, Carlos, June-Ho Lee, Adam D. Rosenthal, Thomas Franklin, and Markus Zahn. "Ferrohydrodynamics in Time-Varying Magnetic Fields." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32275.
Full textYang, Fulun, Bi Zhang, and Junyi Yu. "Chatter Suppression With Multiple Time-Varying Parameters in Turning." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0679.
Full textReports on the topic "Time-Varying Effects"
Hauzenberger, Niko, Florian Huber, Gary Koop, and James Mitchell. Bayesian modeling of time-varying parameters using regression trees. Federal Reserve Bank of Cleveland, January 2023. http://dx.doi.org/10.26509/frbc-wp-202305.
Full textHeresi, Rodrigo, and Andrew Powell. Corporate Debt and Investment in the Post-Covid World. Inter-American Development Bank, September 2022. http://dx.doi.org/10.18235/0004464.
Full textGabriel, Ricardo. Monetary Policy and the Wage Inflation-Unemployment Tradeoff. APHES Working Paper in Economic and Social History, May 2022. http://dx.doi.org/10.55462/wpaphes_a_504.
Full textCho, Young-Hye, and Robert Engle. Time-Varying Betas and Asymmetric Effect of News: Empirical Analysis of Blue Chip Stocks. Cambridge, MA: National Bureau of Economic Research, September 1999. http://dx.doi.org/10.3386/w7330.
Full textGu, Yuanyuan, and Jhorland Ayala-García. Emigration and Tax Revenue. Banco de la República de Colombia, July 2022. http://dx.doi.org/10.32468/dtseru.312.
Full textGrumet, Rebecca, Rafael Perl-Treves, and Jack Staub. Ethylene Mediated Regulation of Cucumis Reproduction - from Sex Expression to Fruit Set. United States Department of Agriculture, February 2010. http://dx.doi.org/10.32747/2010.7696533.bard.
Full textPrusky, Dov, Nancy P. Keller, and Amir Sherman. global regulation of mycotoxin accumulation during pathogenicity of Penicillium expansum in postharvest fruits. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7600012.bard.
Full textTime-varying linear transformation models with fixed effects and endogeneity for short panels. Cemmap, January 2022. http://dx.doi.org/10.47004/wp.cem.2022.0622.
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