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Econ 240 C Lecture 12. 2 The Big Picture w Exploring alternative perspectives w Exploratory Data Analysis Looking at components w Trend analysis Forecasting.

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Presentation on theme: "Econ 240 C Lecture 12. 2 The Big Picture w Exploring alternative perspectives w Exploratory Data Analysis Looking at components w Trend analysis Forecasting."— Presentation transcript:

1 Econ 240 C Lecture 12

2 2 The Big Picture w Exploring alternative perspectives w Exploratory Data Analysis Looking at components w Trend analysis Forecasting long term w Distributed lags Forecasting short term

3 3 The 2010-2011 CA Budget w Long Run Perspectives Univariate trends Bivariate relationships w Short Run

4 4 UC Budget $B nominal Vs. Fiscal Year

5 5 UC Budget Billions Nominal $ Vs. Fiscal Year: 1998-09 – 2010-11

6 6 1991-2 RECESSION 2001-02 Recession ?

7 7 US Civilian Unemployment Rate

8 8 UC’s Share of California General Fund Expenditures

9 9 Relative Size of California Government

10 10 CA Budget Crisis w Estimate of the relative size of the CA government: 5.14 % w Estimate of UC’s Budget Share: 3.68% w UC Bud = 0.0368*0.0514*CAPY w UC Bud = 0.00189* 1597.2 $B w UC Bud = 3.021 $B for 2010-11 w UC Bud = 3.019 $B Governor’s proposal

11 11

12 12 Schedule 6 Fiscal Year: CA personal Income, CA General Fund Expenditures

13 13 Schedule 9: UC Budget, Gen. Fund Support

14 14

15 15

16 16

17 17 Salary by Major

18 18 Economic Concept of a Public Good w Consumption by one person does not leave less for the next person National Defense Safe Streets Public Health Flu shots Measle vaccinations

19 19 Return to Education

20 20 07-08 The story based on a bivariate distributed lag model

21 21 Another Story Based On a Univariate ARIMA Model

22 22 Part I. CA Budget Crisis

23 23 CA Budget Crisis w What is Happening to UC? UC Budget from the state General Fund

24 24 UC Budget w Econ 240A Lab Four w New data for Fiscal Year 2008-09 w Governor’s Budget Summary 2008-09 released January 2008 http://www.dof.ca.gov/

25 25

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27 27 CA Budget Crisis w What is happening to the CA economy? CA personal income

28 28

29 29 Log Scale

30 30 Nov 1989 Berlin Wall Down

31 31 CA Budget Crisis w How is UC faring relative to the CA economy?

32 32

33 33 CA Budget Crisis w What is happening to CA state Government? General Fund Expenditures?

34 34

35 35 CA Budget Crisis w How is CA state government General Fund expenditure faring relative to the CA economy?

36 36

37 37 Long Run Pattern Analysis w Make use of definitions: w UCBudget = (UCBudget/CA Gen Fnd Exp)*(CA Gen Fnd Exp/CA Pers Inc)* CA Pers Inc w UC Budget = UC Budget Share*Relative Size of CA Government*CA Pers Inc

38 38 What has happened to UC’s Share of CA General Fund Expenditures? w UC Budget Share = (UC Budget/CA Gen Fnd Exp)

39 39

40 40

41 41

42 42 UC Budget Crisis w UC’s Budget Share goes down about one tenth of one per cent per year will the legislature continue to lower UC’s share? Probably, since competing constituencies such as prisons, health and K-12 will continue to lobby the legislature.

43 43 What has happened to the size of California Government Expenditure Relative to Personal Income? w Relative Size of CA Government = (CA Gen Fnd Exp/CA Pers Inc)

44 44 07-08

45 45 California Political History w Proposition 13 approximately 2/3 of CA voters passed Prop. 13 on June 6, 1978 reducing property tax and shifting fiscal responsibility from the local to state level w Gann Inititiative (Prop 4) In November 1979, the Gann initiative was passed by the voters, limits real per capita government expenditures

46 46 CA Budget Crisis w Estimate of the relative size of the CA government: 6.50 % w Estimate of UC’s Budget Share: 3.00% w UC Bud = 0.03*0.065*CAPY w UC Bud = 0.00195* 1588.5 $B w UC Bud = 3.098 $B for 2008-09 w UC Bud = 3.494 Governor’s proposal

47 47 Forecasts of UC Budget, 08-09 Method Forecast Actual (proposed)$3.394 B Identity/CAPY$3.098 B

48 48 Econometric Estimates of UCBUD w Linear trend w Exponential trend w Linear dependence on CAPY w Constant elasticity of CAPY

49 49 Econometric Estimates w Linear Trend Estimate w UCBUDB(t) = a + b*t +e(t) A lucky coincidence Usually either too low or too high!

50 50 A Lucky Coincidence: 2 out of 10

51 51 Econometric Estimates w Logarithmic (exponential trend) w lnUCBUDB = a + b*t +e(t) w simple exponential trend will over-estimate UC Budget by far

52 52

53 53 Econometric Estimate w Dependence of UC Budget on CA Personal Income w UCBUDB(t) = a + b*CAPY(t) + e(t) w looks like a linear dependence on income will overestimate the UC Budget for 2007- 08

54 54

55 55 Econometric Estimates w How about a log-log relationship w lnUCBUDB(t) = a + b*lnCAPY(t) + e(t) w Estimated elasticity 0.833 w autocorrelated residual w fitted lnUCBUDB(2007-08) = 1.32945 $3.78 B w actual (Governor’s Proposal) = 1.18481 $3.27B

56 56

57 57 Is Higher Education a necessary economic Good?

58 58

59 59

60 60

61 61 Is Government a luxury Good? w Elasticity = 1.073

62 62

63 63 Forecasting Conclusions w Trend analysis and bi-variate regressions of UC General Fund Expenditures on California Personal Income focus on the long run w The UC budget depends on the business cycle, a more short run focus w Try Box-Jenkins Methods

64 64 Econometric Estimates w Try a distributed lag Model of lnUCBUDB(t) on lnCAPY(t) clearly lnUCBUDB(t) is trended (evolutionary) so difference to get fractional changes in UC Budget likewise, need to difference the log of personal income

65 65 Box-Jenkins Distributed Lag w Dlnucbud = h 0 *dlncapy(t) + h 1 *dlncapy(t-1) + … + e(t) w Dlnucbud(t) = h(z) dlncapy(t) + e(t) w Dlncapy = 0.709*dlncapy(t-1) + resdlncapy(t) w [1-0.709z]dlnucbud = h(z)[1-0.709z] *dlncapy(t) + [1-0.709z]*e(t) w W(t) = h(z) resdlncapy(t) + e*(t)

66 66 Identify dlncapy: trace

67 67

68 68

69 69

70 70 Estimate ARONE Model dlncapy

71 71 Validate model

72 72 Orthogonal Residuals

73 73 Normal Residuals

74 74 Cross-Correlate w and resdlncapy

75 75 Distributed lag of w on resdlncapy w W =h 0 *resdlncapy + h 1 *resdlncapy(-1) + e*(t)

76 76 Distributed lag Model

77 77 Residuals

78 78 Also model error as arone

79 79 residuals

80 80 Estimate this model for dlnucbud

81 81 Estimated model

82 82 Diagnostics

83 83 Residuals

84 84 Fitted dlnucbud Dlnucbud (07-08) = 0.046

85 85 Dlnucbudf(07-08) Dlnucbudf(07-08) = 0.0452

86 86 Forecasts of UC Budget, 07-08 Method Forecast Actual $ 3.270 B Identity/CAPY $ 3.155 B univariate model distributed lag $3.223 B = UCBud(06- 07)*[1+dlnucbudf(07-08)]

87 87 Identify dlnucbud

88 88

89 89

90 90

91 91 Model dlnucbud

92 92 Identify dlncapy Estimate model for dlnucbud

93 93 diagnostics

94 94 residuals

95 95 Univariate forecast dlnucbud(07-08) Dlnucbud(07-08) = 0.0696

96 96 Univariate forecast for 2008-09 w Fit AR(1) to dlnucbud, 68-69 though 07-08 w Forecast dlnucbud for 08-09 = 0.059 with sef =0.064 w Governor’s proposed increase is 0.069

97 97 proposed Actual 2004-05 was Scwarzenegger’s First budget

98 98 Forecasts of UC Budget, 07-08 Method Forecast Actual $ 3.270 B Identity/CAPY $ 3.155 B univariate model $ 3.298 B ($18 M high) distributed lag$ 3.223 B = UCBud(06- 07)*[1+dlnucbudf(07-08)] ($ 47 M low) simple exp. smooth$3.083 B double exp. Smooth -HW $ 3.309 B ($39 M high), trend = $226 M/yr.

99 99

100 100

101 101 Efforts from earlier years

102 102

103 103

104 104 Estimate ARONE Model for dlncapy

105 105 Satisfactory Model

106 106 Estimate ARONE Model for dlncapy(t) w Orthogonalize dlncapy and save residual w need to do transform dlnucbudb w dlnucbudb(t) = h(Z)*dlncapy(y) + resid(t) w dlncapy(t) = 0.72*dlncapy(t-1) + N(t) w [1 - 0.72Z]*dlnucbudb(t) = h(Z)* [1 - 0.72Z]*dlncapy(t) + [1 - 0.72Z]*resid(t) w i.e. w(t) = h(Z)*N(t) + residw(t)

107 107 Distributed Lag Model w Having saved resid as res[N(t)] from ARONE model for dlncapy w and having correspondingly transformed dlnucbud to w w cross-correlate w and res

108 108

109 109 Distributed lag model w There is contemporary correlation and maybe something at lag one w specify dlnucbud(t) = h 0 *dlncapy(t) + h 1 *dlncapy(t-1) + resid(t)

110 110

111 111

112 112

113 113 Try an AR(6) AR(8)residual for dlnucbudb

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115 115

116 116

117 117 w Try a dummy for 1992-93, the last recession, this is the once and for all decline in UCBudget mentioned by Granfield w There is too much autocorrelation in the residual from the regression of lnucbud(t) = a + b*lncapy(t) + e(t) to see the problem w Look at the same regression in differences

118 118 05-06 92-93

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120 120

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123 123

124 124 Distributed lag Model w dlnucbud(t) = h 0 *dlncapy(t) + h 1 *dlncapy(t-1) + dummy (1992-93) + resid(t) w dlnucbud(t) = h 0 *dlncapy(t) + h 1 *dlncapy(t-1) + dummy (1992-93) + dummy(2002-03) + resid(t) w dlnucbud(t) = h 0 *dlncapy(t) + dummy (1992-93) + resid(t)

125 125

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128 128

129 129 Distributed Lag Model w dlnucbud(t) = h 0 *dlncapy(t-1) + dummy (1992-93) + resid(t)

130 130

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133 133

134 134Fitted fractional change in UC Budget is 0.032 (3.2%)versus Governor’s proposal of 0.033 (3.3%)

135 135 Conclusions w Governors proposed increase in UC Budget of 3.3% is the same as expected from a Box-Jenkins model, controlling for income w The UC Budget growth path ratcheted down in the recession beginning July 1990 w The UC Budget growth path looks like it ratcheted down again in the recession beginning March 2001

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137 137

138 138 Try estimating the model in levels

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140 140

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142 142

143 143

144 144

145 145 07-08

146 146 Postscript 2006-07

147 147

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149 149

150 150

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