Staff research
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Forecasting GDP Growth Using Artificial Neural Networks
Financial and monetary variables have long been known to contain useful leading information regarding economic activity. In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. […] -
Capital Gains and Inflation Taxes in a Life-cycle Model
Inflation distorts an economy through many channels. This paper highlights the interaction between inflation and capital gains tax and how they distort an economy through the financial market. Several observations motivate this research. First, capital formation or investment is an important channel for economic agents to smooth their consumption over their life cycles. Second, capital […] -
Dynamic Employment and Hours Effects of Government Spending Shocks
In this paper, we analyze the dynamic behaviour of employment and hours worked per worker in a stochastic general equilibrium model with a matching mechanism between vacancies and unemployed workers. The model is estimated for the United States using the Generalized Methods of Moments (GMM) estimation technique. An increase in government spending raises hours worked […]
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