Dynamic Modeling for Persistent Event-Count Time Series

Patrick T. Brandt · John T. Williams · Benjamin O. Fordham · Brain Pollins

162 citations0/0 files storedAmerican Journal of Political Science

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Political Conflict and Governance Statistical Methods and Bayesian Inference Spatial and Panel Data Analysis

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Patrick T. Brandt, John T. Williams, Benjamin O. Fordham, Brain Pollins, Dynamic Modeling for Persistent Event-Count Time Series, American Journal of Political Science, Vol. 44, No. 4 (Oct., 2000), pp. 823-843

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References

1982Trends and random walks in macroeconmic time series 2002Introduction to Time Series and Forecasting 1990Stationarity and Persistence in the GARCH(1,1) Model 1996Nuisance vs. Substance: Specifying and Estimating Time-Series-Cross-Section Models 1989Unifying Political Methodology: The Likelihood Theory of Statistical Inference 1996Leading sectors and world powers : the coevolution of global politics and economics 1996Democracies Really Are More Pacific (in General)1994Retaliating against Terrorism: Rational Expectations and the Optimality of Rules versus Discretion

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