TY - CHAP
T1 - Dynamic Models
AU - LI, Jinjing
AU - O'Donoghue, Cathal
AU - Dekkers, Gijs
PY - 2014
Y1 - 2014
N2 - This chapter covers dynamic models, an important kind of multi-level model. It shows how to simulate dynamic models, discusses process and observation error, and illustrates methods for fitting models that assume only one or the other. For problems where we want to estimate process error when the magnitude of observation error is known, it introduces the SIMEX approach. Finally, it presents a brief introduction to fitting state-space models, which can estimate both process and observation error, via the Kalman filter orMarkov chainMonte Carlo.
AB - This chapter covers dynamic models, an important kind of multi-level model. It shows how to simulate dynamic models, discusses process and observation error, and illustrates methods for fitting models that assume only one or the other. For problems where we want to estimate process error when the magnitude of observation error is known, it introduces the SIMEX approach. Finally, it presents a brief introduction to fitting state-space models, which can estimate both process and observation error, via the Kalman filter orMarkov chainMonte Carlo.
UR - http://www.scopus.com/inward/record.url?scp=84918801948&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/dynamic-models
U2 - 10.1108/S0573-855520140000293009
DO - 10.1108/S0573-855520140000293009
M3 - Chapter
SN - 9781783505692
VL - 293
T3 - Contributions to Economic Analysis
SP - 305
EP - 343
BT - Handbook of Microsimulation Modelling
A2 - O'Donoghue, Cathal
PB - Emerald Group Publishing Limited
CY - Bingley, UK
ER -