3300 Econometric HW obs RWAGES PRODUCT 1959 59.87100 48.02600 1960 61.31800 48.86500 1961 63.05400 50.56700 1962 65.19200 52.88200 1963 66.63300 54.95000 1964 68.25700 56.80800 1965 69.67600 58.81700 1966 72.30000 61.20400 1967 74.12100 62.54200 1968 76.89500 64.67700 1969 78.00800 64.99300 1970 79.45200 66.28500 1971 80.88600 69.01500 1972 83.32800 71.24300 1973 85.06200 73.41000 1974 83.98800 72.25700 1975 84.84300 74.79200 1976 87.14800 77.14500 1977 88.33500 78.45500 1978 89.73600 79.32000 1979 89.86300 79.30500 1980 89.59200 79.15100 1981 89.64500 80.77800 1982 90.63700 80.14800 1983 90.59100 83.00100 1984 90.71200 85.21400 1985 91.91000 87.13100 1986 94.86900 89.67300 1987 95.20700 90.13300 1988 96.52700 91.50600 1989 95.00500 92.40800 1990 96.21900 94.38500 1991 97.46500 95.90300 1992 100.00000 100.00000 1993 99.71200 100.38600 1994 99.02400 101.34900 1995 98.69000 101.49500 1996 99.47800 104.49200 1997 100.51200 106.47800 1998 105.17300 109.47400 1999 108.04400 112.82800 2000 111.99200 116.11700 2001 113.53600 119.08200 2002 115.69400 123.94800 2003 117.70900 128.70500 2004 118.94900 132.39000 2005 119.69200 135.02100 2006 120.44700 136.40000 Problem 2. Use the data in the “Autocorrelation” tab to test For Autocorrelation using the Durbin...

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Basic Math

3300 Econometric HW

obsRWAGESPRODUCT
195959.8710048.02600
196061.3180048.86500
196163.0540050.56700
196265.1920052.88200
196366.6330054.95000
196468.2570056.80800
196569.6760058.81700
196672.3000061.20400
196774.1210062.54200
196876.8950064.67700
196978.0080064.99300
197079.4520066.28500
197180.8860069.01500
197283.3280071.24300
197385.0620073.41000
197483.9880072.25700
197584.8430074.79200
197687.1480077.14500
197788.3350078.45500
197889.7360079.32000
197989.8630079.30500
198089.5920079.15100
198189.6450080.77800
198290.6370080.14800
198390.5910083.00100
198490.7120085.21400
198591.9100087.13100
198694.8690089.67300
198795.2070090.13300
198896.5270091.50600
198995.0050092.40800
199096.2190094.38500
199197.4650095.90300
1992100.00000100.00000
199399.71200100.38600
199499.02400101.34900
199598.69000101.49500
199699.47800104.49200
1997100.51200106.47800
1998105.17300109.47400
1999108.04400112.82800
2000111.99200116.11700
2001113.53600119.08200
2002115.69400123.94800
2003117.70900128.70500
2004118.94900132.39000
2005119.69200135.02100
2006120.44700136.40000

Problem 2.

Use the data in the “Autocorrelation” tab totest

  1. For Autocorrelation using the Durbin WatsonTest

  2. Graph the Residuals and determine whether they aredistributed normally or whether they are biased

Answer & Explanation Solved by verified expert
3.9 Ratings (385 Votes)
We are going to use the Durbin Watson Test for testing theautocorrelation I am using the Stata Software for applying theDurbin Watson testYou dont have mentioned which of    See Answer
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