Erpzz mean of x constant 04186 00704 5949 0000 age

Info icon This preview shows pages 11–23. Sign up to view the full content.

View Full Document Right Arrow Icon
| Standard Error |b/St.Er.|P[|Z|>z]| Mean of X| +--------+--------------+----------------+--------+--------+----------+ |Constant| .04186*** .00704 5.949 .0000 | |AGE | .00030*** .919581D-04 3.209 .0013 43.5257| |EDUC | .01967*** .00045 44.180 .0000 11.3206| |MARRIED | .07947*** .00239 33.192 .0000 .75862| |WHITEC | .04819*** .00225 21.465 .0000 .29960| +--------+------------------------------------------------------------+ ™    10/27
Image of page 11

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Part 9: Hypothesis Testing - 2 F Statistic for Chow Test --> Calc ; k = col(x) ; List; dfd = (tm + tf - 2*k) ; Chowtest = ((sall - sm - sf)/k) / ((sm+sf)/dfd) ; FCrit = Ftb(.95,k,dfd) $ DFD = 27316.000000 CHOWTEST = 64.281630 FCRIT = 2.214100 ™    11/27
Image of page 12
Part 9: Hypothesis Testing - 2 Use Dummy Variables ™    12/27
Image of page 13

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Part 9: Hypothesis Testing - 2 Wald Test for Difference ™    13/27
Image of page 14
Part 9: Hypothesis Testing - 2 Specification Test: Normality of p Specification test for distribution p Standard tests: n Kolmogorov-Smirnov: compare empirical cdf of X to normal with same mean and variance n Bowman-Shenton: Compare third and fourth moments of X to normal, 0 (no skewness) and 34 (meso kurtosis) p Bera-Jarque – adapted Bowman/Shenton to linear regression residuals ™    14/27
Image of page 15

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Part 9: Hypothesis Testing - 2 Testing for Normality ™    15/27 2 1 1 3 2 4 2 3 4 Normality Test for Random Variable e ( ) ( ) s = , m , e = 0 for regression residuals ( / ) [( / ) 3] Chi-squared[2] = 6 20 n n j i i i i j e e e e n n m s m s = = - - = - +
Image of page 16
Part 9: Hypothesis Testing - 2 The Stochastic Frontier Model              ui > 0, usually assumed to be |N[0,s ]|              vi may take any value.   symmetric  distribution,  such  as  the  normal  distribution, is usually assumed for vi. ™    16/27 ( ) ln + = + . i v i i i i i i i i i = f y e TE = + v u y + α - α x x x ε β β
Image of page 17

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Part 9: Hypothesis Testing - 2 Application to Spanish Dairy Farms Input Units Mean Std. Dev. Minimum Maximum Milk Milk production (liters) 131,108 92,539 14,110 727,281 Cows # of milking cows 2.12 11.27 4.5 82.3 Labor # man-equivalent units 1.67 0.55 1.0 4.0 Land Hectares  of  land  devoted  to  pasture  and  crops. 12.99 6.17 2.0 45.1 Feed Total  amount  of  feedstuffs  fed  to  dairy  cows (tons) 57,941 47,981 3,924.1 4 376,732 N = 247 farms, T = 6 years (1993-1998) ™    17/27
Image of page 18
Part 9: Hypothesis Testing - 2 Stochastic Frontier Model ™    18/27
Image of page 19

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Part 9: Hypothesis Testing - 2 ™    19/27
Image of page 20
Part 9: Hypothesis Testing - 2 ™    20/27
Image of page 21

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Part 9: Hypothesis Testing - 2 Nonnested Regression Models p Davidson and MacKinnon: If model A is correct, then predictions from model B will not add to the fit of model A to the data.
Image of page 22
Image of page 23
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern