The phrase "loss of observations" is correct and can be used in written English.
You can use it when referring to the phenomenon of observations being unavailable or not being recorded. For example, "The researcher experienced a loss of observations due to inclement weather."
It could be argued that the loss of observations introduces sample selection biases.
Hence, adopting the Min Max method suggested by Dehejia and Wahba 1999 will not imply any loss of observations.
Missing values in parents' and children's characteristics introduced another loss of observations, reducing the sample to 4,266 observations.
At the same time, I tried to avoid unnecessary loss of observations due to less relevant variables.
The final sample consisted of 1,492 observations, where the additional loss of observations was because complete information on case-mix variables (described below) was not available.
A second data challenge is to include as much relevant information as possible by minimizing the cost in terms of loss of observations due to missing values.
But in the case of insufficient data the question arises as how to compensate the loss of observation in the state estimation.
The first sign of trouble, according to the National Space Development Agency of Japan, was a loss of observation data transmission yesterday morning.
Experiments are conducted on the HumanEva dataset with image sequences of walking motion, which has challenges of occlusion and loss of image observations.
As we would expect, the share of migrants itself has a (weakly) significant negative correlation with productivity in model 4, which just about slips into insignificance if secondary enrolment is included as control variable, resulting in the loss of 16 observations (column 5).12 None of the significant effects of rents in Table 1 obtain if HRCs are left out of the model.
In the growth equation, it is striking that all coefficients are similar in size to those presented in column (7) of Table 7 (despite the loss of 76 observations because of the inclusion of our exogenous instrument, physicians per 10 000 inhabitants), with the possible exception of the coefficient associated with the SSA dummy which is now statistically indistinguishable from zero.
