12.07.2015 Views

The Limits of Mathematics and NP Estimation in ... - Chichilnisky

The Limits of Mathematics and NP Estimation in ... - Chichilnisky

The Limits of Mathematics and NP Estimation in ... - Chichilnisky

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

64 Advances <strong>in</strong> Econometrics - <strong>The</strong>ory <strong>and</strong> Applications18 Will-be-set-by-IN-TECHNo Het Non-Para Log-Normal Weibull Weibull Weibull2 Factors 2 Factors 3 FactorsWelfare to Welfare Tra<strong>in</strong><strong>in</strong>gBasel<strong>in</strong>e 1 12.951 † 11.769 † 9.916 † 9.736 † 7.437 † 7.511 †Replacement -41.844 † -34.680 † -34.591 † -34.500 † -30.710 † -30.722 †M<strong>in</strong>imum Wage 11.507 † 10.464 † 10.555 † 10.624 † 10.132 † 10.127 †Unemp Rate 1.837 † 0.641 † 0.659 † 0.659 † 0.855 † 0.858 †Welfare Ben. -0.267 -1.202 † -1.165 † -1.169 † -1.058 † -1.046 †Wel. Tr. 3 0.133 0.126JRP 4 0.486 † 0.486 †U.I. Tr. 5 0.123 0.127Welfare to JRPBasel<strong>in</strong>e 1 -16.915 ‡ -12.068 -20.602 † -21.019 † 23.330 † -23.004 †Replacement -2.948 10.486 11.451 11.010 14.679 14.800M<strong>in</strong>imum Wage 24.425 † 20.061 † 20.504 † 20.511 † 20.177 † 19.689 †Unemp Rate 0.114 -2.402 † -2.477 † -2.465 † -2.301 † -2.304 †Welfare Ben. 1.389 0.081 0.093 0.046 0.115 0.095Wel. Tr. 3 0.562 ‡ 0.561 ‡JRP 4 -0.011 -0.039U.I. Tr. 5 0.112 0.109Welfare to UnemploymentBasel<strong>in</strong>e 1 2.275 0.160 -5.840 -6.134 -3.910 -3.511Replacement -30.577 † -16.447 -15.796 -16.035 -19.417 ‡ -18.808 ‡M<strong>in</strong>imum Wage 12.777 16.201 † 16.575 † 16.565 † 16.483 † 15.791 †Unemp Rate 1.538 † -0.399 -0.446 -0.451 -0.568 -0.547Welfare Ben. 1.579 ‡ 0.672 0.682 0.626 0.571 0.456Wel. Tr. 3 0.232 0.210JRP 4 -2.164 ‡ -2.139 ‡U.I. Tr. 5 0.594 0.531Welfare to WorkBasel<strong>in</strong>e 2 -6.268 † 5.172 † -1.084 -1.426 -0.781 -0.902-6.786 † 4.757 † -1.501 -1.836 -1.194 -1.250-7.623 † 4.039 † -2.253 -2.580 -1.941 -1.910Replacement -0.201 -2.715 -2.268 -2.469 -3.464 -2.834M<strong>in</strong>imum Wage 6.019 † -0.608 -0.470 -0.447 -0.345 -0.266Unemp Rate -0.322 † -0.106 -0.127 -0.126 -0.209 -0.219Welfare Ben. -1.107 † -1.214 † -1.204 † -1.231 † -1.272 † -1.342 †Wel. Tr. 3 0.027 0.020JRP 4 -0.454 † -0.436 †U.I. Tr. 5 0.314 0.273Welfare to OLFBasel<strong>in</strong>e 1 -2.676 -1.632 -1.661 -1.858 -1.136 -1.025Replacement -3.865 -6.066 ‡ -6.159 ‡ -5.847 -6.859 ‡ -6.669 ‡M<strong>in</strong>imum Wage -1.026 -1.394 -1.424 -1.268 -1.130 -1.055Unemp Rate 0.396 † 0.500 † 0.484 † 0.508 † 0.382 0.425 ‡Welfare Ben. -0.847 † -0.621 † -0.522 † -0.590 † -0.632 † -0.684 †Wel. Tr. 3 -0.209 -0.242JRP 4 -0.276 -0.233U.I. Tr. 5 0.708 † 0.597 †Table 4. Parameter Estimates – Exits from Welfare1 Exponential hazard.2 Exponential hazard – spl<strong>in</strong>es.3 Dummy <strong>in</strong>dicator for any previous welfare tra<strong>in</strong><strong>in</strong>g.4 Dummy <strong>in</strong>dicator for any previous JRP.5 Dummy <strong>in</strong>dicator for any previous U.I. tra<strong>in</strong><strong>in</strong>g.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!