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Time-Varying Phillips Curves

This tool presents time-varying estimates of the Phillips curve across multiple regions.
Using kernel-weighted regression methods, it traces the relationship between inflation
and unemployment over time, capturing structural shifts that static models often miss.

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Unobserved Components Model

This function implements the Stock and Watson (2007) unobserved components
model with stochastic volatilities. It employs a gamma random variable generator
function and can be used to extract the trend of any given univariate time series.

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VAR Historical Decomposition

This function takes in the output from the VAR function (refer to the vars package)
and computes the vector autoregression historical decomposition. It is an abridged
translation of Cesa-Bianchi's MATLAB code (see the VAR-Toolbox) designed for R.

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Gaussian Error Propagation

This function determines the uncertainty of any mathematical expression containing
estimated variables with uncertainties by taking the partial derivatives with respect to
each variable, multiplied by their uncertainty, and added in quadrature.

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