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We implement several Bayesian and classical models to forecast employment for eight sectors of the US economy. In addition to standard vector-autoregressive and Bayesian vector autoregressive models, we also include the information content of 143 additional monthly series in some models. Several...
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One characteristic of many macroeconomic and financial time series is their asymmetric behaviour during different phases of a business cycle. Oil price shocks have been amongst those economic variables that have been identified in theoretical and empirical literature to predict the phases of...
Persistent link: https://www.econbiz.de/10011096980
This paper re-examines the stochastic properties of US State real per capita personal income, using new panel unit-root procedures. The new developments incorporate non-linearity, asymmetry, and cross-sectional correlation within panel data estimation. Including nonlinearity and asymmetry finds...
Persistent link: https://www.econbiz.de/10011095430
Money demand specifications exhibits instability, especially for long spans of data. This paper reconsiders the welfare cost of inflation for the US economy using a flexible time-varying cointegration methodology to estimate the money demand function. We find evidence that the time-varying...
Persistent link: https://www.econbiz.de/10011095471
This paper studies the interplay of fiscal policy and asset price returns of the United States in a time-varying-parameter vector autoregressive model. Using annual data from 1890 to 2013, we study the effects of dynamic shocks to both fiscal policy and asset returns on asset returns and fiscal...
Persistent link: https://www.econbiz.de/10011212744
We employ a 10-variable dynamic structural general equilibrium model to forecast the US real house price index as well as its turning point in 2006:Q2. We also examine various Bayesian and classical time-series models in our forecasting exercise to compare to the dynamic stochastic general...
Persistent link: https://www.econbiz.de/10013116513
We implement several Bayesian and classical models to forecast housing prices in 20 US states. In addition to standard vector-autoregressive (VAR) and Bayesian Vector Autoregressive (BVAR) models, we also include the information content of 308 additional quarterly series in some models. Several...
Persistent link: https://www.econbiz.de/10013117046
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