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Learn About Spatial Fixed Effects Models in Python Using Airbnb Data in Berlin Residential Districts (2018)

By: Published: 2019 | Product: SAGE Research Methods Datasets Part 2

This dataset teaches readers how to estimate and interpret a spatial fixed-effects model in Python. This dataset contains data related to Airbnb prices in Berlin, Germany, and the contextual effects of nightly Airbnb prices will be presented. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Python.

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You can preview and download the dataset from this tab. The dataset is designed to be used in the GeoJSON format. You can also view and download the Codebook, which provides information on the structure, contents, and layout of the dataset.

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Fixed effects model

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