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error models – to correct for misspecification due to neglected spatial autocorrelation in the data set. Our empirical …
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Volatility and Time Series Econometrics: Essays in Honor of Robert F. .Engle Edited by … History of Econometrics at the University of California, San Diego: A Personal Viewpoint 1 … 6 7 Wives 8 8 The Econometrics Research Project …
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Recent rises in macroeconomic volatility have prompted the introduction of quantile vector autoregression (QVAR) models to forecast macroeconomic risk. This paper provides an extensive evaluation of the predictive performance of QVAR models in a pseudo-out-of-sample experiment spanning 112...
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Forecasts of the quarterly real price of oil are routinely used by international organizations and central banks worldwide in assessing the global and domestic economic outlook, yet little is known about how best to generate such forecasts. Our analysis breaks new ground in several dimensions....
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Emerging-market economies have become increasingly important in driving global GDP growth over the past 10 to 15 years. This has made timely and accurate assessment of current and future economic activity in emerging markets important for policy-makers not only in these countries but also in...
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This paper conducts a real-time, out-of-sample analysis of the forecasting power of various aggregate financial intermediaries' balance sheets to a wide range of economic activity measures in the United States. I find evidence that the balance sheets of leveraged financial institutions do have...
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