830 research outputs found
Forecasting inflation using dynamic model averaging
We forecast quarterly US inflation based on the generalized Phillips curve using econometric methods which incorporate dynamic model averaging. These methods not only allow for coefficients to change over time, but also allow for the entire forecasting model to change over time. We find that dynamic model averaging leads to substantial forecasting improvements over simple benchmark regressions and more sophisticated approaches such as those using time varying coefficient models. We also provide evidence on which sets of predictors are relevant for forecasting in each period
Deflation and depression: Is there an empirical link?
Are deflation and depression empirically linked? No, concludes a broad historical study of inflation and real output growth rates. Deflation and depression do seem to have been linked during the 1930s. But in the rest of the data for 17 countries and more than 100 years, there is virtually no evidence of such a link
Modeling the transition to a new economy: Lessons from two technological revolutions
Many view the period after the Second Industrial Revolution as a paradigm of a transition to a new economy following a technological revolution, including the Information Technology Revolution. We build a quantitative model of diffusion and growth during transitions to evaluate that view. With a learning process quantified by data on the life cycle of US manufacturing plants, the model accounts for the key features of the transition after the Second Industrial Revolution. But we find that features like those will occur in other transitions only if a large amount of knowledge about old technologies exists before the transition begins
Modeling and measuring organization capital
Manufacturing plants have a clear life cycle: they are born small, grow substantially with age, and eventually die. Economists have long thought that this life cycle is driven by organization capital, the accumulation of plant‐specific knowledge. The location of plants in the life cycle determines the size of the payments, or organization rents, plant owners receive from organization capital. These payments are compensation for the interest cost to plant owners of waiting for their plants to grow. We use a quantitative growth model of the life cycle of plants, along with U.S. data, to infer the overall size of these payments
Using humanoid robots to study human behavior
Our understanding of human behavior advances as our humanoid robotics work progresses-and vice versa. This team's work focuses on trajectory formation and planning, learning from demonstration, oculomotor control and interactive behaviors. They are programming robotic behavior based on how we humans “program” behavior in-or train-each other
If exchange rates are random walks, then almost everything we say about monetary policy is wrong
The optimal degree of discretion in monetary policy
How much discretion should the monetary authority have in setting its policy? This question is analyzed in an economy with an agreed-upon social welfare function that
depends on the economy’s randomly fluctuating state. The monetary authority has private
information about that state. Well designed rules trade off society’s desire to give
the monetary authority discretion to react to its private information against society’s
need to prevent that authority from giving in to the temptation to stimulate the economy
with unexpected inflation, the time inconsistency problem. Although this dynamic
mechanism design problem seems complex, its solution is simple: legislate an inflation
cap. The optimal degree of monetary policy discretion turns out to shrink as the severity
of the time inconsistency problem increases relative to the importance of private
information. In an economy with a severe time inconsistency problem and unimportant
private information, the optimal degree of discretion is none
Money, interest rates, and exchange rates with endogenously segmented markets
We analyze the effects of money injections on interest rates and exchange rates when agents must pay a Baumol‐Tobin‐style fixed cost to exchange bonds and money. Asset markets are endogenously segmented because this fixed cost leads agents to trade bonds and money infrequently. When the government injects money through an open market operation, only those agents that are currently trading absorb these injections. Through their impact on these agents’ consumption, these money injections affect real interest rates and real exchange rates. The model generates the observed negative relation between expected inflation and real interest rates as well as persistent liquidity effects in interest rates and volatile and persistent exchange rates
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