Arbeitspapier

Adaptive estimation of the dynamic linear model with fixed effects

This paper shows how the dynamic linear model with fixed regressors can be efficiently estimated. This dynamic model can be used to distinguish spurious correlation from state dependence and we show that the integrated likelihood estimator is adaptive for any asymptotics with T increasing where T is the number of observations per individual.

Language
Englisch

Bibliographic citation
Series: Research Report ; No. 2002-10

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Bayesian Analysis: General
Semiparametric and Nonparametric Methods: General
Subject
Panel data
Efficient Estimation
Bayesian Analysis

Event
Geistige Schöpfung
(who)
Woutersen, Tiemen
Voia, Marcel
Event
Veröffentlichung
(who)
The University of Western Ontario, Department of Economics
(where)
London (Ontario)
(when)
2002

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Woutersen, Tiemen
  • Voia, Marcel
  • The University of Western Ontario, Department of Economics

Time of origin

  • 2002

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