It is common to use these indicators every five years as you have mentioned (1990, 1995 ...). There is no significant changes year by year and you won't have significant problems with this.

I would recommend establishing 1990=t1, 1995=t2, 2000=t3, and so on.

It is my suggestion, but maybe would be good if you check other papers which analyze the same indicator.

Kind Regards

Annual data for schooling does not exist on a global scale. The most commonly used data is probably the Barro-Lee dataset: http://www.barrolee.com/ Either one studies 5-year-averaged data, as suggested before, or missing values need to be interpolated. Life expectancy data is available from the World Bank or the US Census Bureau.

'how to adjust data for the years in which the data are not available?'

The usual approach in such a case is interpolation to estimamate values for periods between the reported values. Several studies have used this approach and it seems to be acceptable in applied research.

The other issue is that the yearly data are available for limited sets of countries. See Eurostat and OECD datasets, but they only refer to European/developed economies and this may not be something you are looking for.

check this link:

http://data.un.org/

dear professor

I think you can obtain the data fromthe local statistic department of you country ,sir or the yearly report of I.M.F. in any how you can use the data which you are obtained and use time for the loosing or missed years as dummy variable ,then use 2 SL model to analysis your data .

Thank you@ Mohammad Mousa Alalaya

please see the world bank's data bank ...you will find the same there ...already checked ..if needed will send the link as well

Hello

I do not know any other data source. But, the period you have achieved is very good and sufficient for analysis.

I suggest you only evaluate the years with existing data, with 5 year windows or build the nonexistent periods based on the existing ones, by means of estimation.

greetings

you can calculate it from the database of the World Bank

Wdi u can find the data from there. They have already collected and compiled from different resources..for missing values sometimes u have to fill through interpolation ...or taking averages