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Econ 240 C Lecture 12
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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
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4 Schedule 6
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5 Schedule 9
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6 07-08 The story based on a bivariate distributed lag model
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8 Another Story Based On a Univariate ARIMA Model
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9 Part I. CA Budget Crisis
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10 CA Budget Crisis w What is Happening to UC? UC Budget from the state General Fund
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11 UC Budget w Econ 240A Lab Four w New data for Fiscal Year 2007-08 w Governor’s Budget Summary 2007-08 released January 2007 http://www.dof.ca.gov/
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14 CA Budget Crisis w What is happening to the CA economy? CA personal income
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16 Log Scale
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18 CA Budget Crisis w How is UC faring relative to the CA economy?
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20 CA Budget Crisis w What is happening to CA state Government? General Fund Expenditures?
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22 CA Budget Crisis w How is CA state government General Fund expenditure faring relative to the CA economy?
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24 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
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25 What has happened to UC’s Share of CA General Fund Expenditures? w UC Budget Share = (UC Budget/CA Gen Fnd Exp)
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26 07-08
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29 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.
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30 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)
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31 07-08
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32 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
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33 CA Budget Crisis w Estimate of the relative size of the CA government: 7.00 % w Estimate of UC’s Budget Share: 3.00% w UC Bud = 0.03*0.07*CAPY w UC Bud = 0.0021* 1502.5 $B w UC Bud = 3.155 $B
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34 Forecasts of UC Budget, 07-08 Method Forecast Actual $ 3.270 B Identity/CAPY $ 3.155 B
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35 Econometric Estimates of UCBUD w Linear trend w Exponential trend w Linear dependence on CAPY w Constant elasticity of CAPY
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36 Econometric Estimates w Linear Trend Estimate w UCBUDB(t) = a + b*t +e(t) A lucky coincidence Usually either too low or too high!
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37 A Lucky Coincidence: 2 out of 10
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38 Econometric Estimates w Logarithmic (exponential trend) w lnUCBUDB = a + b*t +e(t) w simple exponential trend will over-estimate UC Budget by far
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40 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
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42 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
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44 Is Higher Education an Inferior Good?
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48 Is Government an Inferior Good? w Elasticity = 1.073
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50 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
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52 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
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53 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)
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54 Identify dlncapy: trace
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58 Estimate ARONE Model dlncapy
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59 Validate model
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60 Orthogonal Residuals
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61 Normal Residuals
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62 Cross-Correlate w and resdlncapy
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63 Distributed lag of w on resdlncapy w W =h 0 *resdlncapy + h 1 *resdlncapy(-1) + e*(t)
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64 Distributed lag Model
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65 Residuals
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66 Also model error as arone
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67 residuals
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68 Estimate this model for dlnucbud
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69 Estimated model
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70 Diagnostics
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71 Residuals
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72 Fitted dlnucbud Dlnucbud (07-08) = 0.046
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73 Dlnucbudf(07-08) Dlnucbudf(07-08) = 0.0452
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74 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)]
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75 Identify dlnucbud
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79 Model dlnucbud
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80 Identify dlncapy Estimate model for dlnucbud
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81 diagnostics
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82 residuals
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83 Univariate forecast dlnucbud(07-08) Dlnucbud(07-08) = 0.0696
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84 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.
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87 Efforts from earlier years
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90 Estimate ARONE Model for dlncapy
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91 Satisfactory Model
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92 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)
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93 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
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95 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)
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99 Try an AR(6) AR(8)residual for dlnucbudb
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103 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
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104 05-06 92-93
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110 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)
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115 Distributed Lag Model w dlnucbud(t) = h 0 *dlncapy(t-1) + dummy (1992-93) + resid(t)
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120Fitted fractional change in UC Budget is 0.032 (3.2%)versus Governor’s proposal of 0.033 (3.3%)
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121 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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124 Try estimating the model in levels
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131 07-08
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132 Postscript 2006-07
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