Estimating Dynamic Models Using Kalman Filtering (doi:10.7910/DVN/TRRVNY)

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Document Description

Citation

Title:

Estimating Dynamic Models Using Kalman Filtering

Identification Number:

doi:10.7910/DVN/TRRVNY

Distributor:

Harvard Dataverse

Date of Distribution:

2009-12-21

Version:

1

Bibliographic Citation:

Nathaniel Beck, 2009, "Estimating Dynamic Models Using Kalman Filtering", https://doi.org/10.7910/DVN/TRRVNY, Harvard Dataverse, V1

Study Description

Citation

Title:

Estimating Dynamic Models Using Kalman Filtering

Identification Number:

doi:10.7910/DVN/TRRVNY

Authoring Entity:

Nathaniel Beck

Producer:

Political Analysis

Date of Production:

1989

Distributor:

Harvard Dataverse

Distributor:

Murray Research Archive

Date of Deposit:

2009-12-21

Holdings Information:

https://doi.org/10.7910/DVN/TRRVNY

Study Scope

Abstract:

The Kalman filter is useful to estimate dynamic models via maximum likelihood. To do this the model must be set up in state space form. This article shows how various models of interest can be set up in that form. Models considered are Auto Regressive-Moving Average (ARMA) models with measurement error and dynamic factor models. <br /><br /> The filter is used to estimate models of presidential approval. A test of rational expectations in approval shows the hypothesis not to hold. The filter is also used to deal with missing approval data and to study whether interpolation of missing data is an adequate technique. Finally, a dynamic factor analysis of government entrepreneurial activity is performed.<br /><br /> Appendices go through the mathematical details of the filter and show how to implement it in the computer l anguage GAUSS.

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

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Related Publications

Citation

Title:

Nathaniel Beck. 1989. "Estimating Dynamic Models Using Kalman Filtering." Political Analysis, 1(1), 121-156. <a href= "http://pan.oxfordjournals.org/cgi/content/abstract/1/1/121" target= "_new">article available here</a>

Bibliographic Citation:

Nathaniel Beck. 1989. "Estimating Dynamic Models Using Kalman Filtering." Political Analysis, 1(1), 121-156. <a href= "http://pan.oxfordjournals.org/cgi/content/abstract/1/1/121" target= "_new">article available here</a>