Modeling Zero Inflation in Count Data Time Series with Bounded Support

作者：Moeller Tobias A; Weiss Christian H; Kim Hee Young^*; Sirchenko Andrei

来源：Methodology and Computing in Applied Probability, 2018, 20(2): 589-609.

DOI：10.1007/s11009-017-9577-0

• Binomial distribution
• Count data time series
• Hidden Markov model
• Markov model
• Zero inflation

Real count data time series often show an excessive number of zeros, which can form quite different patterns. We develop four extensions of the binomial autoregressive model for autocorrelated counts with a bounded support, which can accommodate a broad variety of zero patterns. The stochastic properties of these models are derived, and ways of parameter estimation and model identification are discussed. The usefulness of the models is illustrated, among others, by an application to the monetary policy decisions of the National Bank of Poland.

• 出版日期2018-6