Learn about spatial fixed effects models in Python using Airbnb data in Berlin residential districts (2018) /

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 St...

Full description

Bibliographic Details
Main Author:	Wolf, Levi John (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2019.
Subjects:	Airbnb (Firm) > Statistics. Airbnb (Firm) Spatial analysis (Statistics) Python (Computer program language) > Handbooks, manuals, etc. Hospitality industry > Germany > Berlin > Statistics. Rental housing > Germany > Berlin > Statistics. Analyse spatiale (Statistique) Python (Langage de programmation) > Guides, manuels, etc. Accueil (Tourisme) > Allemagne > Berlin > Statistiques. Logement locatif > Allemagne > Berlin > Statistiques. spatial analysis. Hospitality industry Python (Computer program language) Rental housing Germany > Berlin Handbooks and manuals Statistics
Online Access:	Connect to the full text of this electronic book

Internet

Connect to the full text of this electronic book

Available Online

Holdings details from Available Online
Call Number	Status	Get It
Call Number:		QA278.2 .W65 2019

QA278.2 .W65 2019	Available