1)Before you can do anything, you must first create three additional variables. The first new variable you should call TIME which takes a value of 1 for 1983.1 through 120 for 2012.4. The second variable call OILSQ which is the square of the oil price variable. The third variable is LPSQ, which is the square of the LP variable. Then, regress the variable RDPIPC on everything else except the three newly created variables in the data file. Does this process generate the first econometric problem that I recommended that you evaluate first? If so, paste in your proof, if not paste in the regression output. Are you pleased or disappointed with this outcome. EXPLAIN

2)Now run a standard, backward, stepwise regression to identify the variables that belong in the model (pr of 0.3). Has this process changed the regression model at all?

3)Perform the standard test to determine if heteroscedasticity arises in the model from question 1 (in STATA) report the final regression results from the prescribed procedure to fix heteroscedasticity in table form IF AND ONLY IF the correction is necessary. Show the test results that verify that heteroskedastcity does or does not arise. Why do you suppose the results showed (did not show) heteroskedasticity? 4)Using the model for question 2, test for whether or not autocorrelation arises in the model (use the 100 data point row in the DW table). If necessary, perform the proper adjustment to see if you can eliminate the problem (either in EXCEL or STATA ). Make sure you provide your hypotheses. Paste in your evidence and comment on why or why not autocorrelation arose, and why not or why you could solve or reduce it. 5)Comment on what you think of the model from question4? Do you suspect missing variables? EXPLAIN. 6)Now insert TIME, LPSQ, and OILSQ into the model and report the results, adjusting for autocorrelation if necessary. 7)Now create a variable called RECESSION which takes a value of 1 in 1990.2-1992.2, 2001.2-2001.4, and 2007.4-2009.2, zero otherwise. Insert this variable in the regression from question 6 , adjust for econometric problems if necessary, and paste in your results (remove any variables that are not significant AND have partial correlation coefficients with one or more other variables greater than the multiple correlation coefficient). 8)Carefully, interpret each of the variables significant at the 0.11 level or better. 9)Do you see any reason to suspect simultaneity bias? Explain very briefly. 10)If the Federal Reserve board of governors raised interest rates in December 2015 based on our model, what impact would you believe there would be on per-capital disposable income? Explain.11)Without doing the test, do you suspect that RFFR and LP produce joint explanatory power, WHY or WHY NOT?

Year

RDPIPC

RFFR

RNGS

OILPR

LP

1983.1

23458.64

7.30626

-211.39

94.68350564

-2.6

23550.99

7.431645

-221.391

88.30258758

0.8

23830.91

5.669178

-295.217

86.71337217

0.7

24268.57

6.565798

-360.177

86.27064188

3.5

1984.1

24686.88

5.040678

-355.378

78.95268275

5

25019.33

5.488451

-325.738

73.6604371

9.6

25284.15

5.088109

-340.498

74.68486758

3.6

25413.34

6.513035

-288.253

74.15867682

1.9

1985.1

25274.08

4.337039

-250.62

71.94333125

-0.2

25681.95

7.260298

-259.457

72.01818271

2.5

25517.1

7.084701

-282.264

70.63505347

1.7

25731.77

6.883526

-293.177

69.21413269

0.6

1986.1

25973.39

4.414699

-226.849

65.49481578

0.7

26238.46

6.45935

-317.037

65.46081757

1.1

26344.07

6.613712

-278.638

62.90207413

5.4

26311.86

6.223612

-293.595

62.56603576

1.9

1987.1

26448.64

6.389046

-277.303

45.39382709

5.2

26113.46

5.425754

-325.392

30.05819087

3

26508.3

4.064871

-328.409

27.65379805

1.7

26782.9

3.723068

-284.344

31.1346303

-1.1

1988.1

27092.94

3.386245

-299.638

38.52359688

-2.5

27289.83

4.855638

-184.244

41.34770769

2.8

27471.17

4.061113

-216.517

42.60121002

-0.1

27655.03

4.467878

-234.321

39.82123895

3.8

1989.1

27914.19

3.83746

-226.277

33.37509467

1.1

27750.49

3.689199

-207.756

34.07112964

1.4

27857.76

3.586562

-177.062

30.73387236

1

27999.83

5.812688

-186.34

28.19402275

2.3

1990.1

28153.87

5.757006

-140.957

35.21155975

-1.8

28240.11

6.295512

-172.592

39.1715709

1.5

28169.14

7.036819

-187.988

36.08458332

2.4

27865.72

6.70154

-218.312

38.20917267

0.4

1991.1

27844.67

3.793008

-241.551

39.38132203

3.1

27957.36

3.914276

-256.685

31.47417192

3.4

27978.7

4.940463

-254.17

44.81697202

1.7

28137.53

4.8518

-285.484

56.68333064

-3.4

1992.1

28660.07

2.886852

-244.214

36.85344792

1

28878.03

4.520242

-332.668

34.18082376

6.1

28922.28

6.363535

-356.279

34.79617126

2.5

28939.75

6.757422

-386.211

34.848167

1.9

1993.1

29020.7

6.655479

-430.016

29.75054598

6.9

28990.14

6.524448

-436.267

34.10152526

3

28926.24

6.855249

-456.296

35.23175136

4.1

29035.32

6.312759

-426.031

32.85124615

3.1

1994.1

29157.72

5.773645

-457.187

30.95863313

-2.9

29385.05

5.76035

-393.486

31.31593546

-1.7

29478.11

5.532674

-401.335

27.51867814

1.6

29805.41

5.207479

-331.929

24.65239908

2.8

1995.1

30007.39

1.10663

-320.939

22.64488417

2.2

29993.12

2.213405

-275.427

27.34149637

-0.4

30178.96

2.470239

-282.413

28.64710964

-2.3

30271.08

3.370943

-291.461

27.56020371

3.7

1996.1

30477.44

3.765654

-286.193

28.76891452

-1.3

30685.58

4.665357

-282.214

30.56316263

0.6

30846.61

4.529126

-271.052

27.70508972

0.6

30924.06

4.039056

-225.013

27.86479487

3.1

1997.1

31150.96

3.519813

-231.803

30.31565369

3.5

31332.66

4.152656

-174.079

33.02276052

4.5

31621.43

3.666995

-149.816

33.57117206

1.3

31988.86

3.803384

-109.251

37.08096432

0.2

1998.1

32583.8

3.575625

-81.7198

33.59537612

-1.4

32951.17

4.118621

-49.4141

28.59571539

4.8

33199.26

4.86327

6.240827

28.22000935

3.4

33380.7

4.397398

0.129525

27.7834387

1.6

1999.1

33591.18

5.425052

69.19267

21.01745706

1.5

33586.05

4.97461

81.66594

19.40092238

2.3

33722.51

4.44784

125.1922

18.52569113

2.5

34129.15

4.193772

138.1955

16.8768216

5.5

2000.1

34711.29

3.345924

157.2717

16.89220771

2.9

34981.08

3.38094

169.7067

23.74377062

3.9

35298.67

4.063388

183.6814

30.05299533

0.3

35326.89

4.042674

202.7377

34.88285716

3.3

2001.1

35536.64

2.495787

321.028

40.2813195

3.3

35414.54

4.020678

283.6533

39.53412301

-1.5

36158.17

4.30845

272.825

42.95543327

9.4

35619.02

4.950922

248.161

41.40099988

0.1

2002..1

36392.43

3.122834

213.4198

34.97403859

3.4

36483.93

1.698853

137.6908

34.38789068

-1.3

36343.64

2.443607

-154.211

33.08782482

7.4

36426.34

1.110458

-74.8961

24.37368465

2.5

2003.1

36439.95

0.31557

-314.513

27.57759467

2.9

36873.27

-0.01178

-368.62

34.09355528

8.8

37383.79

-0.0143

-369.875

36.66004707

0.5

37440.98

-0.95323

-413.544

35.77329915

3.8

2004.1

37619.41

-1.72586

-449.88

42.46240566

4.6

37895.83

0.096869

-501.908

35.72486082

3.7

38000.82

-1.31341

-557.209

37.89944848

5.5

38380.47

-1.21929

-435.534

38.3548619

9.5

2005.1

37916.32

-2.64544

-497.767

42.43108667

3.7

38122.14

-2.54784

-463.17

45.95000048

0.6

38224.04

-1.65607

-414.201

51.96643552

3.3

38444.14

-1.08577

-392.606

53.12659393

0.7

2006.1

39225.77

-1.36738

-294.175

54.52459162

2.6

39189.04

0.298424

-298.317

60.5456103

4.2

39205.46

-0.72168

-287.492

73.57704008

-0.8

39620.64

0.709226

-253.785

66.90044479

3.1

2007.1

39784.53

1.647761

-156.248

70.02577028

1.6

39766.66

1.519758

-177.896

80.63775375

2.5

39773.47

2.459323

-183.895

80.32492561

0.4

39711.78

3.763263

-134.305

67.44527098

-2.2

2008.1

39903.83

0.762722

-179.631

66.47776896

0.9

40643.62

2.774228

-215.694

77.09131545

-0.2

39620.81

4.115545

-264.173

86.49099641

3.4

39772.9

2.881801

-306.42

100.0087561

4.8

2009.1

39543.76

0.535039

-441.627

107.6586472

1.5

39747.28

-0.51716

-808.268

137.2301537

-2.6

39250.71

-1.15445

-748.322

131.624795

2.4

39146.89

-0.13583

-783.375

62.41379913

-0.8

2010.1

39087.99

-0.8833

-1134.34

48.65783098

0.6

39507.65

1.03548

-1434.88

68.77444703

5.5

39601.17

-0.40836

-1453.82

78.69910772

6.8

39767.91

-1.30537

-1380.06

85.96436082

5.2

2011.1

40165.3

-1.51847

-1425.86

88.40148761

2.9

40031.05

-1.58704

-1421.63

87.35076721

2.7

40095.28

-2.02875

-1362.44

85.8700291

-0.5

39945.6

-2.12839

-1341.07

94.21186989

3.3

2012.1

40299.52

-1.9954

-1300.17

108.3523397

3.1

40385.49

-2.72473

-1346.75

123.6861612

-2

40234.43

-3.11662

-1305.72

115.1982298

1.2

41013.08

-0.3142

-1255.35

118.5477634

0.6

RDPIPC – 1983.1-2012.4 real per capita disposable personal income in dollars

RFFR – 1983.1-2012.4 real federal funds interest rate in percent (i.e., 5 is 5 percent)

RNGS – 1983.1-2012.4 real net government savings (the federal deficit) in billions of dollars

OILPR – 1983.1-2012.4 real oil prices (U.S. markets) in dollars per barrel

LP – 1983.1-2012.4 labor productivity in percent increase or decrease