Results 261 to 270 of about 103,352 (315)
Fiscal Policy Regimes in Resource‐Rich Economies
Journal of Applied Econometrics, EarlyView.ABSTRACT We analyse fiscal policy in resource‐rich economies using a novel Bayesian regime‐switching panel model. The identified regimes capture pro‐ or countercyclical fiscal behaviour by allowing regime‐specific shifts in the average fiscal stance, while the switches between the regimes have the interpretation of changes in fiscal policy.
Hilde C. Bjørnland +3 more
wiley +1 more source
Labor Market Institutions, Fiscal Multipliers, and Macroeconomic Volatility
Journal of Applied Econometrics, EarlyView.ABSTRACT How do labor market institutions shape the transmission of government spending shocks and macroeconomic volatility? We develop a theoretical model in which labor market institutions affect fiscal transmission through their effect on wage rigidity, job separation, and matching frictions.
Maximilian Boeck +2 more
wiley +1 more source
JCPP Advances, EarlyView.Abstract Background Few studies have used nationwide registry data from both primary and secondary healthcare services to examine the incidence of attention‐deficit/hyperactivity disorder (ADHD) in children while accounting for early risk factors. We aimed to investigate trends in ADHD diagnoses and associated risk factors.
Marika Leppänen +8 more
wiley +1 more source
A Poisson Autoregressive Model to Understand COVID-19 Contagion Dynamics
, 2020 Agosto A, Giudici P.
europepmc +1 more source
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REGRESSION, AUTOREGRESSION MODELS
Journal of Time Series Analysis, 1986Abstract.The accuracy of least squares fitted regression autoregression models as approximations to more general stochastic structures is considered, attention being paid to the accuracy of the estimates of coefficients, of the innovations sequence and to the behaviour of the order (i.e., maximum lag) as determined by methods such as IAC, BIC.
Hannan, E. J., Kavalieris, L.
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Averaged Autoregression Quantiles in Autoregressive Model
2020This paper considers the averaged autoregression quantile in autoregressive models. Our primary interest is its structure, qualities, and its applications. Moreover, under the local heteroscedasticity we investigate the properties of averaged autoregression quantile. For an illustration, a simulation study is provided.
Yeşim Güney +2 more
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Grouped spatial autoregressive model
Computational Statistics & Data Analysis, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Danyang Huang +3 more
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Autoregressive modeling of the Wigner spectrum
ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Autoregressive(AR) or linear predictive(LP) modeling and Wigner time-frequency representations have been proposed for non-stationary signal analysis and synthesis, owing to their specific advantages over the short-time Fourier transform, viz. reduced data set characterisation and improved frequency resolution of the former, and the improved time ...
P. A. Ramamoorthy +2 more
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Tutorial on Multivariate Autoregressive Modelling
Journal of Clinical Monitoring and Computing, 2006In the present paper, the theoretical background of multivariate autoregressive modelling (MAR) is explained. The motivation for MAR modelling is the need to study the linear relationships between signals. In biomedical engineering, MAR modelling is used especially in the analysis of cardiovascular dynamics and electroencephalographic signals, because ...
Heli, Hytti +2 more
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