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rdf:type
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Description
| - In our contribution we focused our attention to modelling relationship between average price of dwelling in the given districts on one side and socioeconomic variables as explanatory variables on the other side. More concretely our regression model considered several socioeconomic variables, resp. indexes: unemployment rate, criminality, average length of incapacity to work, index of ageing and proportion of economic active inhabitants in conjunction with their spatial coordinates. Dataset were combined from two sources. The first data set was obtained from real estate agency server http://www.realitymorava.cz, where the comparison of dwelling prices in all districts of the Czech Republic is periodically published. The second data set was selected through SQL commands from database provided by the Czech Statistical Office. During the modeling process we respected the spatial character of the observed data and for estimation of regression coefficients we used spatial simultaneous autoregressive lag model. Data preprocessing and model building with numeric evaluation was carried out in programming language R 3.0.1 and MS Access. For this purpose we used several specific libraries like ?sp? or ?maptools?.
- In our contribution we focused our attention to modelling relationship between average price of dwelling in the given districts on one side and socioeconomic variables as explanatory variables on the other side. More concretely our regression model considered several socioeconomic variables, resp. indexes: unemployment rate, criminality, average length of incapacity to work, index of ageing and proportion of economic active inhabitants in conjunction with their spatial coordinates. Dataset were combined from two sources. The first data set was obtained from real estate agency server http://www.realitymorava.cz, where the comparison of dwelling prices in all districts of the Czech Republic is periodically published. The second data set was selected through SQL commands from database provided by the Czech Statistical Office. During the modeling process we respected the spatial character of the observed data and for estimation of regression coefficients we used spatial simultaneous autoregressive lag model. Data preprocessing and model building with numeric evaluation was carried out in programming language R 3.0.1 and MS Access. For this purpose we used several specific libraries like ?sp? or ?maptools?. (en)
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Title
| - Modelig price of dwelling based on socioeconomic factors
- Modelig price of dwelling based on socioeconomic factors (en)
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skos:prefLabel
| - Modelig price of dwelling based on socioeconomic factors
- Modelig price of dwelling based on socioeconomic factors (en)
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skos:notation
| - RIV/60076658:12510/13:43885470!RIV14-MSM-12510___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/60076658:12510/13:43885470
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - autoregressive lag model; spatial regression; unemployment; economic activity; dwelling (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - 31st International Conference on Mathematical Methods in Economics 2013
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Friebel, Ludvík
- Rost, Michael
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - Vysoká škola polytechnická Jihlava
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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