A continuous-time model of the United States economy

1993 ◽  
pp. 151-193 ◽  
Author(s):  
Kieran P. Donaghy
1984 ◽  
Vol 78 (2) ◽  
pp. 297-317 ◽  
Author(s):  
Michael Don Ward

This article presents a model of arms expenditures and arms accumulation for the Soviet Union and United States from 1952 through 1978. It argues that contemporary superpowers do not react solely to the military budgets of one another in assessing the potential threat against which they must allocate military resources, i.e., in deciding upon the military budget. Rather, they respond primary to the relative balance of strategic and conventional military forces. A continuous time model of this process is developed and estimated. If one examines only the budgets of these two nations, it would appear that no race is occurring; rather, the Soviets are simply increasing their arms expenditures irrespective of what the United States does. However, when one examines the relative stocks of military capabilities, it appears that the USSR is racing to catch up to the United States. Finally, the dynamics governing arms competition between the United States and the USSR appear to be undergoing marked change.


Author(s):  
Gustavo F Dias ◽  
Marcelo Fernandes ◽  
Cristina M Scherrer

Abstract We formulate a continuous-time price discovery model and investigate how the standard price discovery measures vary with respect to the sampling interval. We find that the component share (CS) measure is invariant to the sampling interval, and hence, discrete-sampled prices suffice to identify the continuous-time CS. In contrast, information share (IS) estimates are not comparable across different sampling intervals because the contemporaneous correlation between markets increases in magnitude as the sampling interval grows. We show how to back out the continuous-time IS from discrete-sampled prices under certain assumptions on the contemporaneous correlation. We assess our continuous-time model by comparing the estimates of the (continuous-time) CS and IS at different sampling intervals for 30 stocks in the United States. We find that both price discovery measures are typically stable across the different sampling intervals, suggesting that our continuous-time price discovery model fits the data very well.


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