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4 results for “Econometrics”
Determinants of Airbnb prices in European cities: A spatial econometrics approach (Supplementary Material)
<p>This repository contains supplementary materials for the article:</p> <p><strong>Determinants of Airbnb prices in European cities: A spatial econometrics approach</strong></p> <p><strong>(</strong>DOI<strong>: </strong><a href="https://doi.org/10.1016/j.tourman.2021.104319">https://doi.org/10.1016/j.tourman.2021.104319</a>)</p> <p>The materials include the used datasets and Python scripts for spatial regression models.</p> <p><strong>Datasets</strong></p> <p>For each city two files are provided: data for weekday and weekend offers</p> <p>The columns are as following:</p> <ul> <li>realSum: the full price of accommodation for two people and two nights in EUR</li> <li>room_type: the type of the accommodation </li> <li>room_shared: dummy variable for shared rooms</li> <li>room_private: dummy variable for private rooms</li> <li>person_capacity: the maximum number of guests </li> <li>host_is_superhost: dummy variable for superhost status</li> <li>multi: dummy variable if the listing belongs to hosts with 2-4 offers</li> <li>biz: dummy variable if the listing belongs to hosts with more than 4 offers</li> <li>cleanliness_rating: cleanliness rating</li> <li>guest_satisfaction_overall: overall rating of the listing</li> <li>bedrooms: number of bedrooms (0 for studios)</li> <li>dist: distance from city centre in km</li> <li>metro_dist: distance from nearest metro station in km</li> <li>attr_index: attraction index of the listing location</li> <li>attr_index_norm: normalised attraction index (0-100)</li> <li>rest_index: restaurant index of the listing location</li> <li>attr_index_norm: normalised restaurant index (0-100)</li> <li>lng: longitude of the listing location</li> <li>lat: latitude of the listing location</li> </ul> <p><strong>Programming Scripts</strong></p> <p>In this repository you will find a script for spatial regressions in Python using PySAL (models_robust.py).</p> <p>The codes cover the following regression models:</p> <ul> <li>OLS</li> <li>SLX (lagged_x)</li> <li>SAR (lagged_y)</li> <li>SDM (lagged_x_y)</li> <li>SEM (lagged_e)</li> <li>SDEM (lagged_e_x)</li> </ul> <p>Main parameters:</p> <ul> <li>cities - list of cities from the dataset to be included in the analysis</li> <li>Robust=False: calculate the OLS, SLX, SAR and SDM regressions with W (weight matrix) based on 10 closest neighbours</li> <li>Robust=True: calculate all regression models with different specifications of W</li> <li>direct_indirect=True: calculate the direct and indirect effects (based on Golgher, A. B., & Voss, P. R. (2016). How to Interpret the Coefficients of Spatial Models: Spillovers, Direct and Indirect Effects. Spatial Demography (Vol. 4). https://doi.org/10.1007/s40980-015-0016-y)</li> </ul> <p>Key functions:</p> <ul> <li>create_weights - defines the W specification</li> <li>write_stats - calculates's Moran's I and Geary's C</li> <li>direct - calculates the direct effect of the variable</li> <li>indirect - calculates the indirect effect</li> <li>coord - sets the coordinate refence system (CRS) appropriate to the analysed city</li> <li>total_results calculates the regressions</li> <li>the coordinates are projected from GPS (epsg:4326) to the local CRS (km_lat, km_lon)</li> <li>all regressions are saved as formatted txt table</li> <li>the results can be also saved as csv table</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Degraded Pastures in Brasil: dataset used in econometric models
Open the record for dataset details and reuse information.
ECONOMETRIC MODEL OF PUBLIC UTILITIES BASED ON MODERNIZATION AND UNIFICATION OF THE ECONOMY-STATISTICAL ANALYSIS
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Econometric model derived from meta-analysis to estimate VSL and VOLY associated to air pollution at a global level.
<p>VSL global database focused exclusively on studies about air pollution-related costs. </p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.