This paper uses dynamic general equilibrium models to quantitatively test the idea that technical change caused the stock market collapse of the mid 1970's, its subsequent stagnation, and recovery. First, I consider the hypothesis that the arrival of information technologies (IT) rendered old...

The U.S. financial growth between 1995 and 2006 certainly translated into record-high shareholder returns. Labor compensation returns were also dramatically high at the onset of the current crisis.

The market value of U.S. corporations, relative to the replacement cost of their tangible assets, declined by about 50% in 1973-74, and stagnated at that level for the following decade. This collapse in market valuations exactly coincides with the Oil Crisis of October 1973. Over the 1973-78...

A growing literature argues that the Information Technology rev- olution caused the stock market crash of 1973-1974, its subsequent stagnation and eventual recovery. This paper employs general equi- librium theory to test whether this good news hypothesis is consistent with the behavior of US...

In this paper we present a recursive method for the computation of dynamic competitive equilibria in models with heterogeneous agents and market frictions. This method is based upon a convergent operator over an expanded set of state variables. The fixed point of this operator defines the set...

The market value of U.S. corporations was nearly halved following the oil crisis of October 1973. Real energy prices more than doubled by the end of the decade, increasing energy costs and spurring innovation in energy-saving technologies by corporations. This paper uses a neo-classical growth...

This paper is concerned with accuracy properties of simulations of approximate solutions for stochastic dynamic models. Our analysis rests upon a continuity property of invariant distributions and a generalized law of large numbers. We then show that the statistics generated by any sufficiently...

This paper provides a general framework for the quantitative analysis of stochastic dynamic models. We review convergence properties of some numerical algorithms and available methods to bound approximation errors. We then address convergence and accuracy properties of the simulated moments. Our...

while still achieving the socially optimal level of output.