This chapter develops a toolkit of neoclassical macroeconomic models, and applies these models to the U.S. economy from 1929 through 2014. We first filter macroeconomic time series into business cycle and long-run components, and show that the long-run component is typically much larger than the...

This chapter develops a toolkit of neoclassical macroeconomic models, and applies these models to the U.S. economy from 1929 through 2014. We first filter macroeconomic time series into business cycle and long-run components, and show that the long-run component is typically much larger than the...

We estimate a time varying parameter structural macroeconomic model of the UK economy, using a Bayesian local likelihood methodology. This enables us to estimate a large open-economy DSGE model over a sample that comprises several different regimes and an incomplete set of data. Our estimation...

Many modelling issues and policy debates in macroeconomics depend on whether macroeconomic times series are best characterized as linear or nonlinear. If departures from linearity exist, it is important to know whether these are endogenously generated (as in, e.g., a threshold autoregressive...

Macroeconomic Modelling and Bayesian Methods -- Monetary Policy Framework in India -- Determinants of Yields on Government Securities in India -- Monetary Transmission in the Indian Economy -- India’s Bi-lateral Export Growth and Exchange Rate Volatility: A Panel GMM Approach.

Many modelling issues and policy debates in macroeconomics depend on whether macroeconomic time series are best characterized as linear or nonlinear. If departures from linearity exist, it is important to know whether these are endogenously generated (as in, e.g. a threshold autoregressive...