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Working Paper
Assertion without empirical basis : an econometric appraisal of monetary trends in ... the United Kingdom, by Milton Friedman and Anna J. Schwartz
This paper critically re-evaluates some of the fundamental empirical claims about monetary behavior in the United Kingdom made by Milton Friedman and Anna J. Schwartz in their 1982 book Monetary Trends in the United States and the United Kingdom. We focus on six aspects of their analysis: the exogeneity of money; their claims of the constancy and correct specification of their money-demand equation; their interpretation of a dummy variable in that equation as capturing a "shift in liquidity preference" for 1921-55; their treatment of the interdependence of money, income, prices, and ...
Discussion Paper
Predicting Fed Forecasts
Monetary policy decisions by the Fed's Federal Open Market Committee (FOMC) have attracted considerable attention in recent years, especially with quantitative easing through large-scale asset purchases, the introduction of forward guidance, and December's "lift-off" after seven years of a near-zero federal funds rate. The FOMC's decisions are based in part on the Greenbook forecasts, which are economic forecasts produced by the Federal Reserve Board's staff and which are presented to the FOMC prior to their policy meetings. This note shows that the minutes of the FOMC meetings--and the ...
Working Paper
Post-simulation analysis of Monte Carlo experiments: interpreting Pesaran's (1974) study of non-nested hypothesis test statistics
"Monte Carlo experimentation in econometrics helps 'solve' deterministic problems by simulating stochastic analogues in which the analytical unknowns are reformulated as parameters to be estimated." (Hendry (1980) With that in mind, Monte Carlo studies may be divided operationally into three phases: design, simulation, and post-simulation analysis. This paper provides a guide to the last of those three, post-simulation analysis, given the design and simulation of a Monte Carlo study, and uses Pesaran's (1974) study of statistics for testing non-nested hypotheses to illustrate the techniques ...
Working Paper
A retrospective on J. Denis Sargan and his contributions to econometrics
This retrospective provides a biographical history of Denis Sargan's career and reviews his contributions to econometrics, emphasizing the breadth of his work in both theoretical and applied econometrics. We include a complete bibliography for Denis and a list of PhD theses that he supervised--students were a substantive facet of his professional life. Finally, two of Denis's previously unpublished manuscripts on model building now appear in print.
Working Paper
An econometric analysis of UK money demand in MONETARY TRENDS IN THE UNITED STATES AND THE UNITED KINGDOM by Milton Friedman and Anna J. Schwartz
This paper evaluates an empirical model of UK money demand developed by Friedman and Schwartz in Monetary Trends... .Testing reveals mis-specification and hence the potential for an improved model. Using recursive procedures on their annual data, we obtain a better-fitting, constant, dynamic error-correction (cointegration) model. Results on exogeneity and encompassing imply that our money-demand model is interpretable as a model of money but not of prices since its constancy holds only conditional on contemporaneous prices.
Working Paper
Economic Forecasting in Theory and Practice : An Interview with David F. Hendry
David Hendry has made major contributions to many areas of economic forecasting. He has developed a taxonomy of forecast errors and a theory of unpredictability that have yielded valuable insights into the nature of forecasting. He has also provided new perspectives on many existing forecast techniques, including mean square forecast errors, add factors, leading indicators, pooling of forecasts, and multi-step estimation. In addition, David has developed new forecast tools, such as forecast encompassing; and he has improved existing ones, such as nowcasting and robustification to breaks. This ...
Working Paper
Cointegration tests in the presence of structural breaks
Structural breaks in stationary time series can induce apparent unit roots in those series. Thus, using recently developed recursive Monte Carlo techniques, this paper investigates the properties of several cointegration tests when the marginal process of one of the variables in the cointegrating relationship is stationary with a structural break. The break has little effect on the tests' size. However, tests based on estimated error correction models generally are more powerful than Engle and Granger's two-step procedure employing the Dickey-Fuller unit root test. Discrepancies in power ...
Working Paper
Forecast uncertainty in economic modeling
This paper provides an introduction to forecast uncertainty in empirical economic modeling. Forecast uncertainty is defined, various measures of forecast uncertainty are examined, and some sources and consequences of forecast uncertainty are analyzed. Empirical illustrations with the U.S. trade balance, U.K. inflation and real national income, and the U.S./U.K. exchange rate help clarify the issues involved.
Working Paper
Constructive data mining: modeling consumers' expenditure in Venezuela
Hoover and Perez (1999) advocate a constructive approach to data mining. The current paper identifies four pejorative senses of data mining and shows how Hoover and Perez's approach counters each. To assess the benefits of constructive data mining, the current paper applies a data-mining algorithm similar to Hoover and Perez's to a dataset for Venezuelan consumers' expenditure. The selected model is economically sensible and statistically satisfactory; and it illustrates how data can be highly informative, even with relatively few observations. Limitations to algorithmically based data mining ...
Working Paper
How Biased Are U.S. Government Forecasts of the Federal Debt?
Government debt and forecasts thereof attracted considerable attention during the recent financial crisis. The current paper analyzes potential biases in different U.S. government agencies? one-year-ahead forecasts of U.S. gross federal debt over 1984-2012. Standard tests typically fail to detect biases in these forecasts. However, impulse indicator saturation (IIS) detects economically large and highly significant time-varying biases, particularly at turning points in the business cycle. These biases do not appear to be politically related. IIS defines a generic procedure for examining ...