Amanote Research

Amanote Research

  • Register
  • Sign In

Spatial Vector Autoregressions

Spatial Economic Analysis- United Kingdom

doi 10.1080/17421770701346689

Full Text

Abstract

Available in

Categories

DevelopmentPlanetary SciencesFinanceProbabilityUncertaintyEconomicsPlanningStatisticsEarthEconometricsGeography

Date

June 1, 2007

Authors

Michael BeenstockDaniel Felsenstein

Publisher

Informa UK Limited


Related search

Implementing Bayesian Vector Autoregressions

1988English

Prior Selection for Vector Autoregressions

2012English

Structural Approaches to Vector Autoregressions

1992English

Sign Restrictions in High-Dimensional Vector Autoregressions

SSRN Electronic Journal
2020English

Sign Restrictions in Structural Vector Autoregressions: A Critical Review

Journal of Economic Literature
EconomicsEconometrics
2011English

Estimating Overidentified, Nonrecursive, Time-Varying Coefficients Structural Vector Autoregressions

Quantitative Economics
EconomicsEconometrics
2015English

Forecasting With Bayesian Vector Autoregressions: Five Years of Experience

Journal of Business and Economic Statistics
EconomicsProbabilityUncertaintySocial SciencesStatisticsEconometrics
1986English

Forecasting With Bayesian Vector Autoregressions Five Years of Experience

1985English

A Topological View on the Identification of Structural Vector Autoregressions

Economics Letters
EconomicsFinanceEconometrics
2016English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy