Seasonality Adjustment of Missing Values

[bulker]

Hello,

I am working on tourism data (tourism income and tourism arrivals) and the seasonality is very high as expected. I would like to apply Census X-13 method for the seasonality adjustment; however, all datasets have 0 (zero) value for 2020M04 and 2020M05 observations due to Covid-19 restrictions.

How can I solve this problem? Is it okay if I only put “1” for these missing values then apply Census X-13? Or do you recommend a better option?

I appreciate your help.

[random_user]

Well, one idea: in X-13, you can switch the model estimation method to "additive" rather than multiplicative. Then, values of zero won't be a problem (NAs are still an issue). The downside is that you may get a negative value in 2020m4 and 2020m5, but then you could overwrite that to zero.