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How robust is the finding that innovations to UK output are persistent?
Mills, Terence C. - In: Scottish journal of political economy : the journal of … 39 (1992) 2, pp. 154-166
Persistent link: https://www.econbiz.de/10001124316
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The challenges of pre-launch forecasting of adoption time series for new durable products
Goodwin, Paul; Meeran, Sheik; Dyussekeneva, Karima - In: International journal of forecasting 30 (2014) 4, pp. 1082-1097
Persistent link: https://www.econbiz.de/10010517769
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Innovations in multiple time series analysis
Breitung, Jörg (ed.); Herwartz, Helmut (ed.) - 2016
Persistent link: https://www.econbiz.de/10011704621
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Innovations in multiple time series analysis
Breitung, Jörg; Herwartz, Helmut - In: Journal of econometrics 192 (2016) 2, pp. 329-331
Persistent link: https://www.econbiz.de/10011704644
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A new Pearson-type QMLE for conditionally heteroscedastic models
Zhu, Ke; Li, Wai Keung - In: Journal of business & economic statistics : JBES ; a … 33 (2015) 4, pp. 552-565
Persistent link: https://www.econbiz.de/10011403239
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On the exact discretization of a continuous time AR(1) model driven by either long memory or antipersistent innovations : a fractional algebra approach
Simos, Theodore - In: Journal of time series econometrics 4 (2012) 2, pp. 1-24
Persistent link: https://www.econbiz.de/10009714885
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Continuous market growth beyond functional satiation : time-series analyses of US footwear consumption, 1955-2002
Frenzel Baudisch, Alexander (contributor) - 2006
Market growth is driven by product innovation. Beyond functional satiation the marginal utility of product performance … and variety decreases. We argue that social comparisons underlying innovation diffusion results in consumer motivations … account of consumption motivations beyond functional satiation. -- Product Innovation ; Innovation Diffusion ; Consumption …
Persistent link: https://www.econbiz.de/10003375567
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Time Series Models with Asymmetric Innovations
Tiku, Moti L - 2018
We consider AR(q) models in time series with asymmetric innovations represented by two families of distributions: (i) gamma with support IR : (0 , \infty), and (ii) generalized logistic with support IR : (- \infty, \infty). Since the ML (maximum likelihood) estimators are intractable, we derive...
Persistent link: https://www.econbiz.de/10012929574
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Nonlinear Innovation
Shur-Ofry, Michal - 2016
Contemporary intellectual property theory concentrates on the cumulative and incremental nature of innovation and … different type of innovation that has been largely overlooked by IP theory and doctrine. Innovation in the domains of science … nonlinear innovation. Drawing on multidisciplinary research ranging from the history of science, through network analysis of …
Persistent link: https://www.econbiz.de/10013003406
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L_1-Regularization of High-Dimensional Time-Series Models with Flexible Innovations
Medeiros, Marcelo C. - 2015
We study the asymptotic properties of the Adaptive LASSO (adaLASSO) in sparse, high-dimensional, linear time-series models. We assume that both the number of covariates in the model and the number of candidate variables can increase with the sample size (polynomially or geometrically). In other...
Persistent link: https://www.econbiz.de/10013019912