Vliv platformy Airbnb na vývoj cen nájemného v Praze mezi lety 2024-2025

The aim of this bachelor's thesis is to empirically verify whether, and to what extent, the concentration of Airbnb listings is related to the level of long-term rent in Prague between December 2024 and September 2025, and at the same time to determine whether this relationship differs between central and other parts of the city, and whether it can also be observed when tracking changes in individual city districts over time. The thesis develops a theoretical framework of the rental housing market and uses it to interpret the relationship between Airbnb and rent identified in the empirical part. Using an original panel dataset compiled from publicly available sources (Inside Airbnb, Sreality, the Czech Statistical Office), the thesis shows that the simple relationship between Airbnb concentration and rent levels does not prove to be statistically significant on its own once the general price level of the locality is taken into account. On the other hand, it was found that in the peripheral parts of Prague, Airbnb concentration is positively and statistically significantly associated with higher rent levels, while no such relationship is apparent in the central parts. The added value of the thesis lies in its own empirical analysis at the level of individual Prague city districts, which distinguishes between central and peripheral areas and thus complements the existing discussion on the impact of Airbnb on the Czech housing market. Given the correlational nature of the analysis and the short period under observation, the thesis does not draw causal conclusions or provide specific recommendations for the regulation of short-term rentals, and its findings are intended primarily as a basis for further discussion and research.