Testing for and estimating structural breaks and other nonlinearities in a dynamic monetary sector
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Publication:2691674
DOI10.1515/snde-2015-0104OpenAlexW2368957506MaRDI QIDQ2691674
Publication date: 30 March 2023
Published in: Studies in Nonlinear Dynamics and Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/snde-2015-0104
model selectionnonlinearitiescointegrationmoney demanderror correctionstructural breaksconditional modelsautometricsmodel designdynamic specificationUnited Kingdombroad moneyFriedman and Schwartz
Applications of statistics to economics (62P20) Macroeconomic theory (monetary models, models of taxation) (91B64)
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- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Robustifying forecasts from equilibrium-correction systems
- Model selection when there are multiple breaks
- An analogue model of phase-averaging procedures
- Automatic selection of indicators in a fully saturated regression
- A low-dimension portmanteau test for non-linearity
- Likelihood of a model and information criteria
- Estimating the dimension of a model
- Testing for and estimating structural breaks and other nonlinearities in a dynamic monetary sector
- Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models
- Tests of Equality Between Sets of Coefficients in Two Linear Regressions
- Optimal Money Holding under Uncertainty
- A Dynamic Baumol-Tobin Model of Money Demand
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Testing for Higher Order Serial Correlation in Regression Equations when the Regressors Include Lagged Dependent Variables
- Dynamic Econometrics
- NONLINEAR ERROR CORRECTION: THE CASE OF MONEY DEMAND IN THE UNITED KINGDOM (1878–2000)
- Improving on ‘Data mining reconsidered’ by K.D. Hoover and S.J. Perez
- Constructive data mining: modeling consumers' expenditurein Venezuela
- A Reality Check for Data Snooping
- MODEL DISCOVERY AND TRYGVE HAAVELMO’S LEGACY
- A COMPARISON OF COMPLEMENTARY AUTOMATIC MODELING METHODS: RETINA AND PcGets
- Computer automation of general-to-specific model selection procedures
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