The topic of circular labor migration has recently received increased attention within the objective of reducing unemployment in Georgia. Circular migration Schemes (CMS) are widely recognized policy tools for reducing illegal migration and facilitating the return of migrants to their countries of origin. The Georgian government’s increased interest and efforts to develop circular migration deals with EU member states serve, on the one hand, the long-term objective of addressing the high levels of unemployment, and, on the other hand, to reduce illegal, and stimulate legal, migration.

It is widely recognized that education is the key to the future. In general, educated people have higher earnings and lower unemployment rates and highly-educated countries grow faster and innovate more than the other countries. Therefore, in the recent economic literature, education is considered as an investment good and look for the other investments, there are the costs and benefits of the investments in the education.

The labor market is always a hot topic in our country, and debate about it usually overheats as elections approach. Referring to unsatisfactory labor market indicators is always a good way to emphasize the mistakes and/or the inertia of the ruling parties. Another common way to score points is making pre-election promises of increased future employment. One way or another, parties always promise and voters always believe their promises (including unrealistic ones).

On February 20, ISET students delivered yet another policy seminar. The seminar was opened by Eric Livny, the president of ISET, who delivered an inspirational speech regarding the jobs of the future. He posed the question, “In this rapidly changing world, what do we need to teach schoolchildren today so that their skills and knowledge are still relevant ten or twenty years from now?”.

The CCI, which is computed by ISET-PI on a monthly basis, monitors how Georgians feel about their personal financial situations and the economic well-being of the whole country. Roughly speaking, the index is computed as the difference between the frequencies of positive and negative answers to 12 questions covering the present and expected economic situations of the households surveyed, as well as general economic parameters of the country, such as inflation and unemployment.