State-space Models With Regime Switching : Classical and Gibbs-sampling Approaches With Applications
State-space models and Markov-switching models have both been highly productive paths for research in econometrics because they address primary issues in our attempts to understand the economy. Unobserved variables are important actors in our stories about consumption behavior, unemployment, inflati...
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MIT Press
2012
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oai:scholar.dlu.edu.vn:DLU123456789-305752012-04-27T07:59:14Z State-space Models With Regime Switching : Classical and Gibbs-sampling Approaches With Applications Kim, Chang-Jin Nelson, Charles R. Econometrics State-space models and Markov-switching models have both been highly productive paths for research in econometrics because they address primary issues in our attempts to understand the economy. Unobserved variables are important actors in our stories about consumption behavior, unemployment, inflation dynamics, indices of economic activity, monetary policy, and financial markets. In these situations the state-space framework, made operational by the Kalman filter, is the only one we have for making statistical inference in the time series context. There is also compelling empirical evidence that economic systems exhibit occasional jumps from one regime to another. When such a switch occurs the distribution of the data seems to change. For example, the macroeconomy periodically switches from boom to recession and back again, and dynamics differ between these two regimes. Financial markets periodically switch from a low-volatility regime to a high-volatility regime, and then back again. It is attractive to model such transitions as a Markov process. 2012-04-27T07:59:14Z 2012-04-27T07:59:14Z 1999 Book 0262112388 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30575 en application/chm MIT Press |
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Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
| language |
English |
| topic |
Econometrics |
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Econometrics Kim, Chang-Jin Nelson, Charles R. State-space Models With Regime Switching : Classical and Gibbs-sampling Approaches With Applications |
| description |
State-space models and Markov-switching models have both been highly productive paths for research in econometrics because they address primary issues in our attempts to understand the economy. Unobserved variables are important actors in our stories about consumption behavior, unemployment, inflation dynamics, indices of economic activity, monetary policy, and financial markets. In these situations the state-space framework, made operational by the Kalman filter, is the only one we have for making statistical inference in the time series context. There is also compelling empirical evidence that economic systems exhibit occasional jumps from one regime to another. When such a switch occurs the distribution of the data seems to change. For example, the macroeconomy periodically switches from boom to recession and back again, and dynamics differ between these two regimes. Financial markets periodically switch from a low-volatility regime to a high-volatility regime, and then back again. It is attractive to model such transitions as a Markov process. |
| format |
Book |
| author |
Kim, Chang-Jin Nelson, Charles R. |
| author_facet |
Kim, Chang-Jin Nelson, Charles R. |
| author_sort |
Kim, Chang-Jin |
| title |
State-space Models With Regime Switching : Classical and Gibbs-sampling Approaches With Applications |
| title_short |
State-space Models With Regime Switching : Classical and Gibbs-sampling Approaches With Applications |
| title_full |
State-space Models With Regime Switching : Classical and Gibbs-sampling Approaches With Applications |
| title_fullStr |
State-space Models With Regime Switching : Classical and Gibbs-sampling Approaches With Applications |
| title_full_unstemmed |
State-space Models With Regime Switching : Classical and Gibbs-sampling Approaches With Applications |
| title_sort |
state-space models with regime switching : classical and gibbs-sampling approaches with applications |
| publisher |
MIT Press |
| publishDate |
2012 |
| url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30575 |
| _version_ |
1757674054360236032 |