The present thesis is devoted to public procurements. Our data set consists of 58 largest municipalities in the Czech Republic and our time period is 2017- 2018. The longer time period is not available in current data sources. We very broadly describe the process of data cleaning a then the creation of our testing data set. The primary aim of this thesis is to figure out whether higher expenses in different types of public procurements (e.g. small-scale contracts in different price limits, soft-service contracts, etc.) lead to a higher or lower probability of mayors' re-election. The regression equation is examined by the ordinary least squares method. We prove the hypotheses about the small-scale contracts in price limits around 6,0 million CZK and 200 000 CZK. These price limits lead to a higher probability of mayors' re-election. Whether mayors spend more through these procurements in these price limits in election year then they have a higher probability that they are going to be re-elected. The hypotheses about the soft-service purchases or about the concluding the amendments are not proved. JEL Classification C12, D72, H57, H72 Keywords public procurement, political cycle