|
|
Second-hand Board Game Price Analysis
Novotný, Lukáš ; Polák, Petr (advisor) ; Pertold-Gebicka, Barbara (referee)
This thesis investigates the determinants of price and value retention of pre- owned board games in the United States market. It is most likely the first thesis applying the hedonic pricing method to the board game industry. Two depen- dent variables, price and the portion of the original manufacturer's suggested retail price that remains, were modelled using various game characteristics. The analysis is performed on data obtained primarily from BoardGameGeek. Applying multiple linear regression and Ordinary Least Squares method on the cross-sectional sample of over 2000 observations, several factors were estimated to be significant. Condition, rating, age, complexity, duration and weight of the box turned out to be the most crucial board game value drivers. Moreover, in the case of regression on residual price share, the most significant predictors appeared to be condition, age and rating. Keywords second-hand market, board game, hedonic pric- ing model, OLS regression Title Second-hand Board Game Price Analysis
|
|
|
Determinants of the average daily rate of Peer-to-peer accommodation in the Czech Republic
Řežábek, Pavel ; Pavlíček, Jaroslav (advisor) ; Schwarz, Jiří (referee)
This thesis investigates which characteristics of peer-to-peer accommodation affect its average daily rate. The study utilizes a unique dataset created with data on all accommodation offers in the Czech Republic, made directly from data downloaded from airbnb.com, which is the largest platform presenting short-term rentals outside hotels. The information about amenities and reviews of individual properties offering accommodation are firstly categorized. The effects of each such category together with information about size and location on the average daily rate are then investigated using the ordinary least squares method. The following parameters are found to have have the most significant effect on the average daily rate: location in Prague, the maximum number of occupants, hotel-type equipment, and luxury amenities.
|
|
|
Price Determinants of Flats Purchased for the First Time in Prague
Pelnář, Daniel ; Cahlík, Tomáš (advisor) ; Nevrla, Matěj (referee)
Being able to correctly estimate the true intrinsic value of a flat is important for various economic agents. This paper is concerned with the price determinants of first-time- purchased flats in Prague. It is mostly about the hedonic pricing model and its applications using data from Vivus which is one of the larger flat developers operating in Prague. Ordinary least squares was the estimation method of choice in this study. The main results are as follows. The residual analysis showed no extremely overvalued or undervalued flats based on our chosen models. Moreover, the estimated increase in prices of average sized flats in Uhříněves was 36.76% from 2017 to 2019. This is a much larger magnitude if compared with the period of the financial crisis where an average sized flat in Na Vyhlídce increased in its price by 12.83% from 2007 to 2009. It is interesting to see that even during a recession, the prices of Prague flats were raising.
|
|
|
Price of Location: The Private versus Commercial Accommodation in Selected European Cities
Houfková, Barbora ; Kocourek, David (advisor) ; Matoušek, Jindřich (referee)
This thesis investigates the relationship between the location and the price of short-term accommodation in context of European metropolitan cities. We em- ploy the econometric OLS regression with log-level functional form to estimate the influence of main determinants on the price of the accommodation. We compare hotels and apartments in determined cities. We find out that there is a negative relationship between the distance from the city centre and the price of the accommodation. Our model determines the exact rate of drop in prices due to increasing proximity from the city centre. Furthermore, we find distance from the metro station and presence of Wi-Fi in the rooms as insignificant fac- tors for our sample. Finally, we explore that people's perception of the metro station is stable with changing proximity from the city centre. In conclusion, we provide suggestions for further research based on our analyses. Keywords short-term accommodation, tourism economics, hedonic pricing model, OLS regression, location, European cities Author's e-mail houfkova.bara@gmail.com Supervisor's e-mail kocourek.david@email.cz
|
guest ::
