Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Niet-lineair Structureel Vector Autoregressief (NL-SVAR) Model× | Vector Autoregressie (VAR)× | |
|---|---|---|
| Vakgebied | Econometrie | Econometrie |
| Familie | Regression model | Regression model |
| Jaar van ontstaan≠ | 1990s–2010s | 1980 |
| Grondlegger≠ | Extensions by Koop, Potter, Auerbach, Gorodnichenko and others | Christopher A. Sims |
| Type≠ | Multivariate nonlinear structural time series model | Multivariate time-series model |
| Oorspronkelijke bron≠ | Koop, G., & Korobilis, D. (2010). Bayesian multivariate time series methods for empirical macroeconomics. Foundations and Trends in Econometrics, 3(4), 267–358. DOI ↗ | Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗ |
| Aliassen | nonlinear structural VAR, NL-SVAR, threshold SVAR, regime-switching SVAR | VAR, VAR model, vector autoregressive model, multivariate autoregression |
| Verwant≠ | 6 | 5 |
| Samenvatting≠ | The Nonlinear Structural VAR model extends the standard SVAR framework to allow structural relationships and dynamic responses to vary across economic regimes or states of the world. By imposing nonlinear transition mechanisms — such as threshold switching or smooth regime change — it captures asymmetric responses to shocks that a linear SVAR cannot detect. | Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance. |
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