are found as follows: from the Ed value of -2, we find that the Lerner index is 0.5. If the price is 30 and L is 0.5, then MC will be 15: MC = P − P × L = 30 — 30 × 0,5 = 15. Industry C. For P=40 and MC=30, the Lerner index will be equal to 0.25 [= (40 − 30) ÷ 40], and the value of Ed should be -4 [= -1 ÷ 0.25]. Based on the results of the calculations, our table will take the final form: Thus, industry B has the greatest monopoly power, and industry С is the closest to perfect competition. Lerner index of the Czech credit market During the period 2000–2005 the Lerner index computed for the credit market slightly increased. It means that there was a slight decrease in competition. Then, during 2006–2009, there was a decrease in the Lernex index. In 2010 the Lerner index significantly increased. The mean of the Lerner index computed for the full sample is 53.58 %, which do not confirm either monopoly or perfect competition in the credit market of Czech Republic. Lerner index of the Czech deposit market This table represents the estimation of the market power in the deposit market in Czech Republic. During the period 2005–2009 the Lerner index computed for the deposit market slightly decrease, which means a slight increase in competition. In 2010, there was an increase in the Lerner index. It signals a decrease in competition. However, the value of Lerner index haven't changed significantly in estimated 10 years. Lerner index in the lending market of Russia In 2015, the article "Application of the Lerner index to the assessment of competition in small and medium-sized business in lending market of Russia" was published. They analyzed the period from 2010 to 2013. The objectives of this work were to assess the degree of competition in the segment of lending to small and medium-sized businesses, as well as to analyze the market power of various groups of commercial banks. As a research method, the Lerner index was chosen to determine which of the groups of banks (small, medium and large; partners and non-partners of various development banks) have higher market power and how it changes over time. This work made a significant contribution to the study of banking competition, adapting the indicator for assessing the competition of the entire