Batch file run: /Users/doornik/Documents/Books_other/Lund/code/04_04_dataz_inflat.fl

Autometrics identification block search over regressors
no. initial regressors    177  no. of observations       154
significance level      0.001  block method         standard
extension effort     standard  reduction effort     standard
backtesting              GUM0  backtesting in      A,B,C1,D1

Free variables in the GUM:
 INFLAT       INFLAT       INFLAT       INFLAT       INFLAT       CONS         CONS        
 CONS         CONS         CONS         INC          INC          INC          INC         
 INC          OUTPUT       OUTPUT       OUTPUT       OUTPUT       OUTPUT       CSeasonal   
 CSeasonal    CSeasonal    I:1954(2)    I:1954(3)    I:1954(4)    I:1955(1)    I:1955(2)   
 I:1955(3)    I:1955(4)    I:1956(1)    I:1956(2)    I:1956(3)    I:1956(4)    I:1957(1)   
 I:1957(2)    I:1957(3)    I:1957(4)    I:1958(1)    I:1958(2)    I:1958(3)    I:1958(4)   
 I:1959(1)    I:1959(2)    I:1959(3)    I:1959(4)    I:1960(1)    I:1960(2)    I:1960(3)   
 I:1960(4)    I:1961(1)    I:1961(2)    I:1961(3)    I:1961(4)    I:1962(1)    I:1962(2)   
 I:1962(3)    I:1962(4)    I:1963(1)    I:1963(2)    I:1963(3)    I:1963(4)    I:1964(1)   
 I:1964(2)    I:1964(3)    I:1964(4)    I:1965(1)    I:1965(2)    I:1965(3)    I:1965(4)   
 I:1966(1)    I:1966(2)    I:1966(3)    I:1966(4)    I:1967(1)    I:1967(2)    I:1967(3)   
 I:1967(4)    I:1968(1)    I:1968(2)    I:1968(3)    I:1968(4)    I:1969(1)    I:1969(2)   
 I:1969(3)    I:1969(4)    I:1970(1)    I:1970(2)    I:1970(3)    I:1970(4)    I:1971(1)   
 I:1971(2)    I:1971(3)    I:1971(4)    I:1972(1)    I:1972(2)    I:1972(3)    I:1972(4)   
 I:1973(1)    I:1973(2)    I:1973(3)    I:1973(4)    I:1974(1)    I:1974(2)    I:1974(3)   
 I:1974(4)    I:1975(1)    I:1975(2)    I:1975(3)    I:1975(4)    I:1976(1)    I:1976(2)   
 I:1976(3)    I:1976(4)    I:1977(1)    I:1977(2)    I:1977(3)    I:1977(4)    I:1978(1)   
 I:1978(2)    I:1978(3)    I:1978(4)    I:1979(1)    I:1979(2)    I:1979(3)    I:1979(4)   
 I:1980(1)    I:1980(2)    I:1980(3)    I:1980(4)    I:1981(1)    I:1981(2)    I:1981(3)   
 I:1981(4)    I:1982(1)    I:1982(2)    I:1982(3)    I:1982(4)    I:1983(1)    I:1983(2)   
 I:1983(3)    I:1983(4)    I:1984(1)    I:1984(2)    I:1984(3)    I:1984(4)    I:1985(1)   
 I:1985(2)    I:1985(3)    I:1985(4)    I:1986(1)    I:1986(2)    I:1986(3)    I:1986(4)   
 I:1987(1)    I:1987(2)    I:1987(3)    I:1987(4)    I:1988(1)    I:1988(2)    I:1988(3)   
 I:1988(4)    I:1989(1)    I:1989(2)    I:1989(3)    I:1989(4)    I:1990(1)    I:1990(2)   
 I:1990(3)    I:1990(4)    I:1991(1)    I:1991(2)    I:1991(3)    I:1991(4)    I:1992(1)   
 I:1992(2)    I:1992(3)   

A. Step 1: block search for omitted regressors
  significance          0.001  diagnostics             off
  no of blocks              3  blocked by         variable
- block   2 size= 60 total=  12  11 added
- block   1 size= 60 total=  16   4 added
- block   0 size= 57 total=  16

A. Step 2: determination of new candidate set
  significance          0.001  diagnostics              on
- block   0 size= 15 total=   9 loglik=    -2.97459 SC=    0.332998

              lag  sel count    sel run     in GUM
INFLAT          1          1          1          1
INFLAT          2          1          1          1
INFLAT          3          1          1          1
INFLAT          5          1          1          1
OUTPUT          1          1          1          1
OUTPUT          2          1          1          1
OUTPUT          3          1          1          1
OUTPUT          4          1          1          1


B. Step 1: block search for omitted regressors
  significance          0.001  diagnostics         delayed
  no of blocks              4  blocked by         variable
- block   3 size= 60 total=   9
- block   2 size= 60 total=  23  14 added
- block   1 size= 60 total=  23
- block   0 size= 21 total=  23

B. Step 2: determination of new candidate set
  significance          0.001  diagnostics              on
- block   0 size= 22 total=  11 loglik=     29.9090 SC=  -0.0286466

                 lag  sel count    sel run     in GUM
INFLAT             1          2          2          1
INFLAT             2          1          0          0
INFLAT             3          1          0          0
INFLAT             5          2          2          1
OUTPUT             1          2          2          1
OUTPUT             2          1          0          0
OUTPUT             3          2          2          1
OUTPUT             4          1          0          0
I:1964(3)          0          1          1          1
I:1965(3)          0          1          1          1
I:1970(2)          0          1          1          1
I:1973(3)          0          1          1          1
I:1973(4)          0          1          1          1
I:1975(1)          0          1          1          1


B. Step 1: block search for omitted regressors
  significance          0.001  diagnostics         delayed
  no of blocks              4  blocked by         variable
- block   3 size= 60 total=  11
- block   2 size= 60 total=  11
- block   1 size= 60 total=  11
- block   0 size= 27 total=  11
B. Step 1 (continued): 
  significance          0.008  diagnostics         delayed
  no of blocks              4  blocked by         variable
- block   3 size= 60 total=  11
- block   2 size= 60 total=  11
- block   1 size= 60 total=  12   1 added
- block   0 size= 27 total=  12

B. Step 2: determination of new candidate set
  significance          0.001  diagnostics              on
- block   0 size= 11 total=   9 loglik=     27.1540 SC=  -0.0582814

                 lag  sel count    sel run     in GUM
INFLAT             1          3          3          1
INFLAT             2          1          0          0
INFLAT             3          1          0          0
INFLAT             5          3          3          1
OUTPUT             1          3          3          1
OUTPUT             2          1          0          0
OUTPUT             3          3          3          1
OUTPUT             4          1          0          0
I:1964(3)          0          2          2          1
I:1965(3)          0          1          0          0
I:1970(2)          0          2          2          1
I:1973(3)          0          2          2          1
I:1973(4)          0          2          2          1
I:1975(1)          0          1          0          0


C. Step 1: extended block search for omitted regressors
  significance          0.002  diagnostics         delayed
  no of blocks              4  blocked by         variable
- block   3 size= 60 total=   9
- block   2 size= 60 total=   9
- block   1 size= 60 total=   9
- block   0 size= 21 total=   9
C. Step 1 (continued): 
  significance          0.016  diagnostics         delayed
  no of blocks              4  blocked by         variable
- block   3 size= 60 total=   9
- block   2 size= 60 total=   9
- block   1 size= 60 total=  10   1 added
- block   0 size= 21 total=  10

C. Step 2: determination of new candidate set
  significance          0.001  diagnostics              on
- block   0 size=  9 total=   8 loglik=     23.6733 SC=  -0.0457861

                 lag  sel count    sel run     in GUM
INFLAT             1          2          4          1
INFLAT             5          2          4          1
OUTPUT             1          2          4          1
OUTPUT             3          2          4          1
I:1964(3)          0          2          3          1
I:1970(2)          0          1          0          0
I:1973(3)          0          2          3          1
I:1973(4)          0          2          3          1


D. Step 1: extended block search for omitted regressors
  significance          0.004  diagnostics         delayed
  no of blocks              4  blocked by         variable
- block   3 size= 60 total=   8
- block   2 size= 60 total=   8
- block   1 size= 60 total=   8
- block   0 size= 18 total=   8

                 lag  sel count    sel run     in GUM
INFLAT             1          3          5          1
INFLAT             5          3          5          1
OUTPUT             1          3          5          1
OUTPUT             3          3          5          1
I:1964(3)          0          3          4          1
I:1970(2)          0          1          0          0
I:1973(3)          0          3          4          1
I:1973(4)          0          3          4          1


Block search complete, estimated 6782 models in  4.93
- final block size=  7 regs=  7 total=   8 loglik=     23.6733

GUM( 9) Modelling INFLAT by OLS
        The dataset is: /Users/doornik/Documents/Books_other/Lund/code/dataz.in7
        The estimation sample is: 1954(2) - 1992(3)

                  Coefficient  Std.Error  t-value  t-prob Part.R^2
INFLAT_1              1.10832    0.01572     70.5  0.0000   0.9715
INFLAT_5            -0.156720    0.01752    -8.95  0.0000   0.3541
OUTPUT_1            0.0625357   0.004006     15.6  0.0000   0.6254
OUTPUT_3           -0.0635230   0.003691    -17.2  0.0000   0.6698
I:1964(3)            0.407888     0.2148     1.90  0.0596   0.0241
I:1973(3)             1.53538     0.2150     7.14  0.0000   0.2589
I:1973(4)             1.22983     0.2165     5.68  0.0000   0.1810
Constant      U       1.25891      2.414    0.521  0.6029   0.0019

sigma                0.213101  RSS                6.63016434
R^2                  0.974239  F(7,146) =    788.8 [0.000]**
Adj.R^2              0.973004  log-likelihood        23.6733
no. of observations       154  no. of parameters           8
mean(INFLAT)          1.78254  se(INFLAT)            1.29699

AR 1-5 test:      F(5,141)  =   3.1063 [0.0108]* 
ARCH 1-4 test:    F(4,146)  =  0.39443 [0.8124]  
Normality test:   Chi^2(2)  =   8.2546 [0.0161]* 
Hetero test:      F(8,142)  =  0.49395 [0.8590]  
Chow test:        F(45,101) =   1.2961 [0.1428]   for break after 1981(2)


---------- Autometrics: dimensions of initial GUM ----------
no. of observations       154  no. of parameters           8
no. free regressors (k1)    7  no. free components (k2)    0
no. of equations            1  no. diagnostic tests        5
Fixed regressors: 
[0] = Constant

[0.2] Presearch reduction of initial GUM

Starting closed lag reduction at 0.01991
Removing lags(#regressors): none

Starting common lag reduction at 0.01991
Removing lags(#regressors): none

Starting common lag reduction at 0.01991 (excluding lagged y's)
Removing lags(#regressors): none

Presearch reduction in opposite order

Starting common lag reduction at 0.01991 (excluding lagged y's)
Removing lags(#regressors): none

Starting common lag reduction at 0.01991
Removing lags(#regressors): none

Starting closed lag reduction at 0.01991
Removing lags(#regressors): none

Encompassing test against initial GUM (iGUM) removes: none

Presearch reduction: none removed

[0.3] Testing GUM 0:  LRF( 7) [0.0000] kept

[1.0] Start of Autometrics tree search

Searching from GUM 0  k=   7 loglik=     23.6733

Searching for contrasting terminals in terminal paths

[2.0] Selection of final model from terminal candidates: terminal 0

p-values in Final GUM and terminal model(s)
                 Final GUM
INFLAT_1        0.00000000
INFLAT_5        0.00000000
OUTPUT_1        0.00000000
OUTPUT_3        0.00000000
I:1964(3)       0.05955156
I:1973(3)       0.00000000
I:1973(4)       0.00000007
k                        7
parameters               8
loglik              23.673
AIC               -0.20355
HQ                -0.13947
SC               -0.045786

coefficients and diagnostic p-values in Final GUM and terminal model(s)
                 Final GUM
INFLAT_1            1.1083
INFLAT_5          -0.15672
OUTPUT_1          0.062536
OUTPUT_3         -0.063523
I:1964(3)          0.40789
I:1973(3)           1.5354
I:1973(4)           1.2298
k                        7
parameters               8
loglik              23.673
sigma              0.21310
AR(5)              0.01085
ARCH(4)            0.81239
Normality          0.01613
Hetero             0.85898
Chow(70%)          0.14277

p-values of diagnostic checks for model validity
          Initial GUM     cut-off   Final GUM     cut-off Final model
AR(5)         0.01085     0.01000     0.01085     0.01000     0.01085
ARCH(4)       0.81239     0.01000     0.81239     0.01000     0.81239
Normality     0.01613     0.01000     0.01613     0.01000     0.01613
Hetero        0.85898     0.01000     0.85898     0.01000     0.85898
Chow(70%)     0.14277     0.01000     0.14277     0.01000     0.14277


The final model has 1 insignificant coefficient:
Joint significance  LRF( 1) [0.0596]
I:1964(3)           Failed diagnostic testing

Summary of Autometrics search
initial search space      2^7  final search space        2^7
no. estimated models        8  no. terminal models         0
test form                LR-F  target size        Tiny:0.001
outlier detection          no  presearch reduction      lags
backtesting              GUM0  tie-breaker                SC
diagnostics p-value      0.01  search effort        standard
time                     4.93  Autometrics version      1.5e

EQ(10) Modelling INFLAT by OLS
       The dataset is: /Users/doornik/Documents/Books_other/Lund/code/dataz.in7
       The estimation sample is: 1954(2) - 1992(3)

                  Coefficient  Std.Error  t-value  t-prob Part.R^2
INFLAT_1              1.10832    0.01572     70.5  0.0000   0.9715
INFLAT_5            -0.156720    0.01752    -8.95  0.0000   0.3541
OUTPUT_1            0.0625357   0.004006     15.6  0.0000   0.6254
OUTPUT_3           -0.0635230   0.003691    -17.2  0.0000   0.6698
I:1964(3)            0.407888     0.2148     1.90  0.0596   0.0241
I:1973(3)             1.53538     0.2150     7.14  0.0000   0.2589
I:1973(4)             1.22983     0.2165     5.68  0.0000   0.1810
Constant      U       1.25891      2.414    0.521  0.6029   0.0019

sigma                0.213101  RSS                6.63016434
R^2                  0.974239  F(7,146) =    788.8 [0.000]**
Adj.R^2              0.973004  log-likelihood        23.6733
no. of observations       154  no. of parameters           8
mean(INFLAT)          1.78254  se(INFLAT)            1.29699

AR 1-5 test:      F(5,141)  =   3.1063 [0.0108]* 
ARCH 1-4 test:    F(4,146)  =  0.39443 [0.8124]  
Normality test:   Chi^2(2)  =   8.2546 [0.0161]* 
Hetero test:      F(8,142)  =  0.49395 [0.8590]  
Hetero-X test:    F(14,136) =   1.2895 [0.2215]  
RESET23 test:     F(2,144)  =  0.65901 [0.5189]  

Autometrics identification block search over regressors
no. initial regressors    175  no. of observations       154
significance level      0.001  block method         standard
extension effort     standard  reduction effort     standard
backtesting              GUM0  backtesting in      A,B,C1,D1

Free variables in the GUM:
 INFLAT       INFLAT       INFLAT       INFLAT       INFLAT       CONS         CONS        
 CONS         CONS         CONS         INC          INC          INC          INC         
 INC          OUTPUT       OUTPUT       OUTPUT       OUTPUT       OUTPUT       CSeasonal   
 CSeasonal    CSeasonal    S1:1954(3)   S1:1954(4)   S1:1955(1)   S1:1955(2)   S1:1955(3)  
 S1:1955(4)   S1:1956(1)   S1:1956(2)   S1:1956(3)   S1:1956(4)   S1:1957(1)   S1:1957(2)  
 S1:1957(3)   S1:1957(4)   S1:1958(1)   S1:1958(2)   S1:1958(3)   S1:1958(4)   S1:1959(1)  
 S1:1959(2)   S1:1959(3)   S1:1959(4)   S1:1960(1)   S1:1960(2)   S1:1960(3)   S1:1960(4)  
 S1:1961(1)   S1:1961(2)   S1:1961(3)   S1:1961(4)   S1:1962(1)   S1:1962(2)   S1:1962(3)  
 S1:1962(4)   S1:1963(1)   S1:1963(2)   S1:1963(3)   S1:1963(4)   S1:1964(1)   S1:1964(2)  
 S1:1964(3)   S1:1964(4)   S1:1965(1)   S1:1965(2)   S1:1965(3)   S1:1965(4)   S1:1966(1)  
 S1:1966(2)   S1:1966(3)   S1:1966(4)   S1:1967(1)   S1:1967(2)   S1:1967(3)   S1:1967(4)  
 S1:1968(1)   S1:1968(2)   S1:1968(3)   S1:1968(4)   S1:1969(1)   S1:1969(2)   S1:1969(3)  
 S1:1969(4)   S1:1970(1)   S1:1970(2)   S1:1970(3)   S1:1970(4)   S1:1971(1)   S1:1971(2)  
 S1:1971(3)   S1:1971(4)   S1:1972(1)   S1:1972(2)   S1:1972(3)   S1:1972(4)   S1:1973(1)  
 S1:1973(2)   S1:1973(3)   S1:1973(4)   S1:1974(1)   S1:1974(2)   S1:1974(3)   S1:1974(4)  
 S1:1975(1)   S1:1975(2)   S1:1975(3)   S1:1975(4)   S1:1976(1)   S1:1976(2)   S1:1976(3)  
 S1:1976(4)   S1:1977(1)   S1:1977(2)   S1:1977(3)   S1:1977(4)   S1:1978(1)   S1:1978(2)  
 S1:1978(3)   S1:1978(4)   S1:1979(1)   S1:1979(2)   S1:1979(3)   S1:1979(4)   S1:1980(1)  
 S1:1980(2)   S1:1980(3)   S1:1980(4)   S1:1981(1)   S1:1981(2)   S1:1981(3)   S1:1981(4)  
 S1:1982(1)   S1:1982(2)   S1:1982(3)   S1:1982(4)   S1:1983(1)   S1:1983(2)   S1:1983(3)  
 S1:1983(4)   S1:1984(1)   S1:1984(2)   S1:1984(3)   S1:1984(4)   S1:1985(1)   S1:1985(2)  
 S1:1985(3)   S1:1985(4)   S1:1986(1)   S1:1986(2)   S1:1986(3)   S1:1986(4)   S1:1987(1)  
 S1:1987(2)   S1:1987(3)   S1:1987(4)   S1:1988(1)   S1:1988(2)   S1:1988(3)   S1:1988(4)  
 S1:1989(1)   S1:1989(2)   S1:1989(3)   S1:1989(4)   S1:1990(1)   S1:1990(2)   S1:1990(3)  
 S1:1990(4)   S1:1991(1)   S1:1991(2)   S1:1991(3)   S1:1991(4)   S1:1992(1)   S1:1992(2)  

A. Step 1: block search for omitted regressors
  significance          0.001  diagnostics             off
  no of blocks              3  blocked by         variable
- block   2 size= 60 total=  10   9 added
- block   1 size= 60 total=  23  13 added
- block   0 size= 55 total=  23
A. Step 1 (continued): 
- block   0 size= 22 total=   4   3 added

A. Step 2: determination of new candidate set
  significance          0.001  diagnostics              on
- block   0 size=  3 total=   4 loglik=     46.4999 SC=   -0.473065

                  lag  sel count    sel run     in GUM
INFLAT              1          1          1          1
OUTPUT              1          1          1          1
S1:1973(2)          0          1          1          1


B. Step 1: block search for omitted regressors
  significance          0.001  diagnostics         delayed
  no of blocks              4  blocked by         variable
- block   3 size= 60 total=   4
- block   2 size= 60 total=   4
- block   1 size= 60 total=   4
- block   0 size=  4 total=   4

                  lag  sel count    sel run     in GUM
INFLAT              1          2          2          1
OUTPUT              1          2          2          1
S1:1973(2)          0          2          2          1


C. Step 1: extended block search for omitted regressors
  significance          0.002  diagnostics         delayed
  no of blocks              4  blocked by         variable
- block   3 size= 60 total=   4
- block   2 size= 60 total=   4
- block   1 size= 60 total=   4
- block   0 size=  4 total=   4

C. Step 2: determination of new candidate set
  significance          0.001  diagnostics              on
- block   0 size=  3 total=   4 loglik=     46.4999 SC=   -0.473065

                  lag  sel count    sel run     in GUM
INFLAT              1          2          3          1
OUTPUT              1          2          3          1
S1:1973(2)          0          2          3          1


D. Step 1: extended block search for omitted regressors
  significance          0.004  diagnostics         delayed
  no of blocks              4  blocked by         variable
- block   3 size= 60 total=   4
- block   2 size= 60 total=   4
- block   1 size= 60 total=   4
- block   0 size=  4 total=   4

                  lag  sel count    sel run     in GUM
INFLAT              1          3          4          1
OUTPUT              1          3          4          1
S1:1973(2)          0          3          4          1


Block search complete, estimated 479 models in  0.29
- final block size=  3 regs=  3 total=   4 loglik=     46.4999

GUM(11) Modelling INFLAT by OLS
        The dataset is: /Users/doornik/Documents/Books_other/Lund/code/dataz.in7
        The estimation sample is: 1954(2) - 1992(3)

                  Coefficient  Std.Error  t-value  t-prob Part.R^2
INFLAT_1             0.725637    0.01435     50.6  0.0000   0.9446
OUTPUT_1            0.0763616   0.002545     30.0  0.0000   0.8572
S1:1973(2)           -1.73816    0.06338    -27.4  0.0000   0.8337
Constant      U      -89.5909      2.994    -29.9  0.0000   0.8565

sigma                0.181277  RSS                4.92921815
R^2                  0.980848  F(3,150) =     2561 [0.000]**
Adj.R^2              0.980465  log-likelihood        46.4999
no. of observations       154  no. of parameters           4
mean(INFLAT)          1.78254  se(INFLAT)            1.29699

AR 1-5 test:      F(5,145)  =   1.6334 [0.1548]  
ARCH 1-4 test:    F(4,146)  =  0.54830 [0.7005]  
Normality test:   Chi^2(2)  =  0.17845 [0.9146]  
Hetero test:      F(5,148)  =  0.91944 [0.4702]  
Chow test:        F(45,105) =   1.3291 [0.1192]   for break after 1981(2)


---------- Autometrics: dimensions of initial GUM ----------
no. of observations       154  no. of parameters           4
no. free regressors (k1)    3  no. free components (k2)    0
no. of equations            1  no. diagnostic tests        5
Fixed regressors: 
[0] = Constant

[0.2] Presearch reduction of initial GUM

Starting closed lag reduction at 0.01991
Removing lags(#regressors): none

Starting common lag reduction at 0.01991
Removing lags(#regressors): none

Starting common lag reduction at 0.01991 (excluding lagged y's)
Removing lags(#regressors): none

Presearch reduction in opposite order

Starting common lag reduction at 0.01991 (excluding lagged y's)
Removing lags(#regressors): none

Starting common lag reduction at 0.01991
Removing lags(#regressors): none

Starting closed lag reduction at 0.01991
Removing lags(#regressors): none

Encompassing test against initial GUM (iGUM) removes: none

Presearch reduction: none removed

[0.3] Testing GUM 0:  LRF( 3) [0.0000] kept

[1.0] Start of Autometrics tree search

[2.0] Selection of final model from terminal candidates: terminal 0

p-values in Final GUM and terminal model(s)
                 Final GUM
INFLAT_1        0.00000000
OUTPUT_1        0.00000000
S1:1973(2)      0.00000000
k                        3
parameters               4
loglik              46.500
AIC               -0.55195
HQ                -0.51991
SC                -0.47307

coefficients and diagnostic p-values in Final GUM and terminal model(s)
                 Final GUM
INFLAT_1           0.72564
OUTPUT_1          0.076362
S1:1973(2)         -1.7382
k                        3
parameters               4
loglik              46.500
sigma              0.18128
AR(5)              0.15476
ARCH(4)            0.70054
Normality          0.91464
Hetero             0.47020
Chow(70%)          0.11923

p-values of diagnostic checks for model validity
          Initial GUM     cut-off   Final GUM     cut-off Final model
AR(5)         0.15476     0.01000     0.15476     0.01000     0.15476
ARCH(4)       0.70054     0.01000     0.70054     0.01000     0.70054
Normality     0.91464     0.01000     0.91464     0.01000     0.91464
Hetero        0.47020     0.01000     0.47020     0.01000     0.47020
Chow(70%)     0.11923     0.01000     0.11923     0.01000     0.11923


Summary of Autometrics search
initial search space      2^3  final search space        2^3
no. estimated models        2  no. terminal models         0
test form                LR-F  target size        Tiny:0.001
outlier detection          no  presearch reduction      lags
backtesting              GUM0  tie-breaker                SC
diagnostics p-value      0.01  search effort        standard
time                     0.29  Autometrics version      1.5e

EQ(12) Modelling INFLAT by OLS
       The dataset is: /Users/doornik/Documents/Books_other/Lund/code/dataz.in7
       The estimation sample is: 1954(2) - 1992(3)

                  Coefficient  Std.Error  t-value  t-prob Part.R^2
INFLAT_1             0.725637    0.01435     50.6  0.0000   0.9446
OUTPUT_1            0.0763616   0.002545     30.0  0.0000   0.8572
S1:1973(2)           -1.73816    0.06338    -27.4  0.0000   0.8337
Constant      U      -89.5909      2.994    -29.9  0.0000   0.8565

sigma                0.181277  RSS                4.92921815
R^2                  0.980848  F(3,150) =     2561 [0.000]**
Adj.R^2              0.980465  log-likelihood        46.4999
no. of observations       154  no. of parameters           4
mean(INFLAT)          1.78254  se(INFLAT)            1.29699

AR 1-5 test:      F(5,145)  =   1.6334 [0.1548]  
ARCH 1-4 test:    F(4,146)  =  0.54830 [0.7005]  
Normality test:   Chi^2(2)  =  0.17845 [0.9146]  
Hetero test:      F(5,148)  =  0.91944 [0.4702]  
Hetero-X test:    F(6,147)  =   1.0254 [0.4112]  
RESET23 test:     F(2,148)  =  0.86363 [0.4237]  
