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Author:Allen, Donald S. 

Journal Article
Where's the productivity growth (from the information technology revolution)?

Information technology has advanced rapidly in the last two or three decades, and an equivalent rapid gain in economy-wide productivity has been anticipated. Productivity statistics, however, do not support this expectation. Although productivity growth has risen since the slowdown witnessed in the 1970s, it can hardly be described as phenomenal. Donald S. Allen discusses some of the current explanations for this apparent disparity and suggests that, as the workforce catches up to the technology level and exploits its full potential, productivity growth will increase.
Review , Issue Mar , Pages 15-25

Working Paper
A state space forecasting model with fiscal and monetary control

In this paper we model the U.S. economy parsimoniously in an a theoretic state space representation. We use monthly data for thirteen macroeconomic variables. We treat the federal deficit as a proxy for fiscal policy and the fed funds rate as a proxy for monetary policy and use each of them as control (exogenous) variables, and designate the rest as state variables. The output (measured) variable is the growth rate of quarterly real GDP which we interpolate to obtain a monthly equivalent. We specify a linear relation between state variables and implicitly allow for time variation of the ...
Working Papers , Paper 1997-017

Journal Article
Seasonal production smoothing

Empirical tests of the production-smoothing hypothesis have yielded mixed results. In this paper, Donald Allen looks for and finds evidence of seasonal production smoothing in 15 out of 25 manufacturing series and eight out of 10 retail series, using detrended seasonally unadjusted data. The equivalent test using seasonally adjusted data were negative for all 35 series. The results suggest that seasonally adjusted data obscure short-term production smoothing.
Review , Volume 81 , Issue Sep , Pages 21-40

Working Paper
Aggregate dynamics of lumpy agents

This paper identifies the criteria for dynamic synchronization of the movement of agents who make intermittent adjustment to inventory stocks, leading to "harmonic resonance" rather than cancellation. I use a discrete Markov process model of (S,s) inventory adjustment to establish a theoretical framework for the aggregate dynamics and use simulations to demonstrate the distribution effects of a discrete model of lumpy behavior. The paper identifies circumstances that lead to increased skewness of the distribution of agents over the inventory interval. This has application in financial, ...
Working Papers , Paper 1996-003

Journal Article
Do inventories moderate fluctuations in output?

Inventories are widely believed to serve as a buffer stock against unexpected fluctuations in demand, allowing firms to plan production more efficiently. If so, we would expect production to vary less than sales and inventory to move in the opposite direction to sales. However, research finds that production varies more than sales and that there is a positive correlation between changes in inventory and changes in sales. These findings imply that inventories are not being used to smooth production and do not serve as a buffer for uncertain demand. Donald S. Allen examines firm-level data and ...
Review , Issue Jul , Pages 39-50

Journal Article
Changes in inventory management and the business cycle

Review , Issue Jul , Pages 17-26

Journal Article
What determines long-run growth?

National Economic Trends , Issue Sep

Working Paper
Filtering permanent cycles with complex unit roots

Separating cyclical movement from trend growth at seasonal and business cycle frequencies is important to macroeconomic research. At business cycle frequencies, time trends, first differences and the more recent Hodrick-Prescott (HP) filter are used to separate trends from cycles. At seasonal frequencies, ad-hoc methods like the Census Bureau's X-11 seasonal filter are applied. This paper reviews the criteria for permanent cycles in systems characterized by difference equations and looks at the effect of filtering data which exhibit permanent cyclicality. Second order moving averages with ...
Working Papers , Paper 1997-001

Working Paper
Forecasting with an adaptive control algorithm

We construct a parsimonious model of the U.S. macro economy using a state space representation and recursive estimation. At the core of the estimation procedure is a prediction/correction algorithm based on a recursive least squares estimation with exponential forgetting. The algorithm is a Kalman filter-type update method which minimizes the sum of discounted squared errors. This method reduces the contribution of past errors in the estimate of the current period coefficients and thereby adapts to potential time variation of parameters. The root mean square errors of out-of-sample forecast ...
Working Papers , Paper 1996-009

Working Paper
Trade, growth and capital: a case study of Jamaica

This is the first of two articles on the dynamics of the Jamaican economy over the last two and a half decades. It compares the overall macroeconomy of Jamaica in the areas of output, fiscal and monetary policy, capital formation and trade to that of Singapore and South Korea. The conclusion from the aggregate data is that government spending in the second half of the 1970?s and the first half of the 1980?s may have had a significant role in the inflationary episodes and reduced capital formation during this period. The second article will delve deeper into the details of the fiscal and ...
Working Papers , Paper 1995-012

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