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  • Publication Date: 09-2003
  • Content Type: Working Paper
  • Institution: U.S. Government
  • Abstract: Two years ago, we responded to attacks on America by launching a global war against terrorism that has removed gathering threats to America and our allies and has liberated the Iraqi and Afghan people from oppression and fear.
  • Topic: Security, Defense Policy, Economics
  • Political Geography: Afghanistan, Iraq, America, Middle East
  • Publication Date: 09-2003
  • Content Type: Working Paper
  • Institution: U.S. Government
  • Abstract: Department of Defense (DoD) research, development, and acquisition policies, funding and program decisions, have a major impact on competition and industry transformation. DoD assessments of proposed business combinations (generally, domestic and foreign firm mergers, acquisitions, and joint ventures) must complement such policies and decisions to sustain credible competition in an evolving industrial environment.
  • Topic: Defense Policy, Development, Industrial Policy, Science and Technology
  • Publication Date: 09-2003
  • Content Type: Working Paper
  • Institution: U.S. Government
  • Abstract: The Defense Science Board (DSB) Task Force on Joint Experimentation was established to examine the joint experimentation programs and activities at the Joint Forces Command (JFCOM) and to recommend ways to enhance the contributions of joint experimentation to transformation. The Task Force assessed the goals, process, and substance of JFCOM's experimentation program. The Task Force also provided an external review of the Millennium Challenge 02 (MC02) experiment.
  • Topic: Security, Defense Policy, Development
  • Political Geography: United States
  • Publication Date: 09-2003
  • Content Type: Working Paper
  • Institution: U.S. Government
  • Abstract: The Task Force was charged to examine the use of red teams in the Department of Defense and recommend ways that such teams could be of greater value to the department. Our Terms of Reference and task force membership are provided in Appendices 1 and 2.
  • Topic: International Relations, Security, Defense Policy
  • Political Geography: United States
  • Author: Jonathan H. Wright
  • Publication Date: 09-2003
  • Content Type: Working Paper
  • Institution: U.S. Government
  • Abstract: Recent empirical work has considered the prediction of inflation by combining the information in a large number of time series. One such method that has been found to give consistently good results consists of simple equal weighted averaging of the forecasts over a large number of different models, each of which is a linear regression model that relates inflation to a single predictor and a lagged dependent variable. In this paper, I consider using Bayesian Model Averaging for pseudo out-of-sample prediction of US inflation, and find that it gives more accurate forecasts than simple equal weighted averaging. This superior performance is consistent across subsamples and inflation measures. Meanwhile, both methods substantially outperform a naive time series benchmark of predicting inflation by an autoregression.
  • Topic: International Relations, Economics, International Trade and Finance
  • Political Geography: United States
  • Author: Jonathan H. Wright
  • Publication Date: 09-2003
  • Content Type: Working Paper
  • Institution: U.S. Government
  • Abstract: Exchange rate forecasting is hard and the seminal result of Meese and Rogoff (1983) that the exchange rate is well approximated by a driftless random walk, at least for prediction purposes, has never really been overturned despite much effort at constructing other forecasting models. However, in several other macro and financial forecasting applications, researchers in recent years have considered methods for forecasting that combine the information in a large number of time series. One method that has been found to be remarkably useful for out-of-sample prediction is simple averaging of the forecasts of different models. This often seems to work better than the forecasts from any one model. Bayesian Model Averaging is a closely related method that has also been found to be useful for out-of-sample prediction. This starts out with many possible models and prior beliefs about the probability that each model is the true one. It then involves computing the posterior probability that each model is the true one, and averages the forecasts from the different models, weighting them by these posterior probabilities. This is effectively a shrinkage methodology, but with shrinkage over models not just over parameters. I apply this Bayesian Model Averaging approach to pseudo-out-of-sample exchange rate forecasting over the last ten years. I find that it compares quite favorably to a driftless random walk forecast. Depending on the currency-horizon pair, the Bayesian Model Averaging forecasts sometimes do quite a bit better than the random walk benchmark (in terms of mean square prediction error), while they never do much worse. The forecasts generated by this model averaging methodology are however very close to (but not identical to) those from the random walk forecast.
  • Topic: International Relations, Economics, International Trade and Finance
  • Political Geography: United States
  • Author: John H. Rogers, Shing-Yi B. Wang, Charles M. Engels
  • Publication Date: 09-2003
  • Content Type: Working Paper
  • Institution: U.S. Government
  • Abstract: We reexamine the evidence for border effects in deviations from the law of one price, using data for consumer prices from Canadian and U.S. cities. The study parallels Engel and Rogers (1996), except that this study uses actual price data rather than price index data. We find evidence of border effects both in the levels of prices and the percentage change in prices. Even accounting for distance between cities and relative population sizes, we find that the absolute difference between prices in the U.S. and Canada in our data (annual from 1990 to 2002) is greater than seven percent. This difference exists among tradables and nontradables, though for some categories of tradables (clothing and durables) the difference is smaller. The findings are similar for annual changes, though the magnitude is smaller: the border accounts for a difference in 1.5 percent in annual (log) price changes. Relative population sizes and distance are helpful in explaining price level differences (between Canadian and U.S. cities) for traded goods, but are less helpful in explaining price level differences for nontraded goods or for accounting for differences in price changes for either traded or nontraded goods.
  • Topic: International Relations, Economics, International Trade and Finance
  • Political Geography: Canada, North America
  • Author: Jon Wongswan
  • Publication Date: 09-2003
  • Content Type: Working Paper
  • Institution: U.S. Government
  • Abstract: Using the conditional Capital Asset Pricing Model (CAPM), this paper tests for the existence and pattern of contagion and capital market integration in global equity markets. Contagion is defined as significant excess conditional correlation among different countries' asset returns above what could be explained by economic fundamentals (systematic risks). Capital market integration is defined as the situation in which only systematic risks are priced. The paper uses a panel of sixteen countries, divided into three blocs: Asia, Latin America, and Germany-U.K.-U.S., for the period from 1990 through 1999. The results show evidence of contagion and capital market integration. In addition, contagion is found to be a regional phenomenon.
  • Topic: International Relations, Economics, Globalization, International Trade and Finance
  • Political Geography: United States, United Kingdom, Asia, Germany, Latin America
  • Author: Robert J. Vigfusson, Lawrence J. Christiano, Martin Eichenbaum
  • Publication Date: 09-2003
  • Content Type: Working Paper
  • Institution: U.S. Government
  • Abstract: This paper investigates the response of hours worked to a permanent technology shock. Based on annual data from Canada, we argue that hours worked rise after a positive technology shock. We obtain a similar result using annual data from the United States. These results contradict a large literature that claims that a positive technology shock causes hours worked to fall. We find that the different results are due to the literature making a specification error in the statistical model of per capital hours worked. Finally, we present results that Canadian monetary policy has accommodated technology shocks.
  • Topic: Economics, International Trade and Finance, Science and Technology
  • Political Geography: Canada, North America
  • Author: Joseph W. Gruber, Robert F. Martin
  • Publication Date: 09-2003
  • Content Type: Working Paper
  • Institution: U.S. Government
  • Abstract: We study the role an illiquid durable consumption good plays in determining the level of precautionary savings and the distribution of wealth in a standard Aiyagari model (i.e. a model with heterogeneous agents, idiosyncratic uncertainty, and borrowing constraints). Transactions costs induce an inaction region over which the durable stock and the associated user cost are not adjusted in response to changes in income, increasing, on average, the volatility of non-durable consumption. The volatility of total consumption is then a function of the share of the durable good in the utility function and the width of the inaction region. We are particularly interested in parameterizations which increase the precautionary motive for saving through an increase in "committed expenditure risk." We find, for an empirically relevant share of durable consumption and for all transaction costs below an upper threshold, that the level of precautionary savings is increasing in the transaction costs. Transaction costs have only a modest impact on the degree of wealth dispersion, as measured by the Gini index, as the associated increase in savings is close to linear in wealth. While we are unable to match the dispersion of wealth in the data, we increase the dispersion over a single asset model (Gini index of .71 for financial assets and .37 for total wealth) and we are able to match the relative dispersion of financial to durable assets, i.e. we find financial assets much more unequal than durable assets. We also match the ratio of housing wealth to total wealth for the median agent. We calibrate the model to data from the PSID, the CES, and the SCF.
  • Topic: Economics, Emerging Markets, International Trade and Finance, Science and Technology