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Unformatted text preview: 14: multiple choices (5 points each Hit up website and old Exams5: calcuate variance for stable AR(1) model (10 points) From Homework # 46: moving average model (10 points) From Homework # 57: lag operator (10 points) From Homework # 78: distributed lag model (25 points)  4 subquestions Homework # 6????????????????????9: assumptions in the time series setting (10 points) Summer 2007 Session 1 # 6 (12 Points) 4 partsPage 546!! TOO SICK! YEE YEE10: autoregressive model (15 points)(From 14.7)1) Pseudo outofsample forecasting can be used for the following reasons with theexception ofa. giving the forecaster a sense of how well the model forecasts at the end of thesample.b. estimating the RMSFE.c. analyzing whether or not a time series contains a unit root.d. evaluating the relative forecasting performance of two or more forecastingmodels.2) Autoregressive distributed lag models includea. current and lagged values of the error term.b. lags of the dependent variable, and lagged values of additional predictorvariables.c. current and lagged values of the residuals.d. lags and leads of the dependent variable.3) Time series variables fail to be stationary whena. the economy experiences severe fluctuations.b. the population regression has breaks.c. there is strong seasonal variation in the data.d. there are no trends.4) Departures from stationaritya. jeopardize forecasts and inference based on time series regression.b. occur often in crosssectional data.c. can be made to have less severe consequences by using loglog specifications.d. cannot be fixed.5) In order to make reliable forecasts with time series data, all of the following conditionsare needed with the exception ofa. coefficients having been estimated precisely.b. the regression having high explanatory power....
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This note was uploaded on 03/21/2009 for the course ECON 120C taught by Professor Stohs during the Spring '08 term at UCSD.
 Spring '08
 Stohs
 Econometrics

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