GENLIN has missing value for Wald chi-square statistic in earlier release but not later one

The most likely scenario here is that the predictor variable is on a large enough scale that its standard error is effectively 0 and the Wald test, which requires forming a ratio of the parameter estimate to its standard error, would involve dividing a number by 0. Beginning with Version 20, GENLIN performs internal linear transformations on predictor variables in order to avoid numerical precision issues like this, doing estimation on "nicer" transformed values, then back-transforming the results to the original scale. You may be able to obtain the same result for the test statistic shown in later releases by rescaling the predictor variable. Dividing a predictor by 10 moves the decimal place one unit to the right in terms of the scale of the parameter estimate (and accompanying standard error). Moving the decimal a number of units to the right may allow you to get the test. If interest truly centers on the original scale, you can then divide the coefficient and its standard error by the same power of 10 used to rescale the variable and obtain the same equation you get in later releases.