Environmental Sustainability and Housing Prices: Dataset for European Countries (2014–2020)

Description

This dataset contains annual observations for European countries covering the period 2014–2020. The data were compiled from Eurostat, the World Bank, and environmental accounts databases to examine the relationship between environmental sustainability indicators and housing prices. The dataset includes the House Price Index (HPI), air pollution indicators, construction-sector CO₂ emissions, real estate-sector CO₂ emissions, energy-sector CO₂ emissions, and GDP per capita. The dataset was used to estimate multiple linear regression models investigating the impact of environmental sustainability on residential property values.

Steps to reproduce

Data Collection: Collect annual data for European countries (2014–2020) from Eurostat and the World Bank. The dataset should include the House Price Index (HPI), air pollution, construction-sector CO₂ emissions, real estate-sector CO₂ emissions, energy-sector CO₂ emissions, and GDP per capita. Data Preparation: Merge all datasets using country and year as common identifiers. Remove incomplete observations and ensure consistency across variables. Statistical Software: Import the final dataset into IBM SPSS Statistics and define all variables appropriately. Descriptive Analysis: Generate descriptive statistics (mean, standard deviation, minimum, and maximum values) to summarize the characteristics of the sample. Correlation Analysis: Conduct Pearson correlation analysis to examine relationships among variables and identify potential multicollinearity issues. Regression Analysis: Estimate two multiple linear regression models. The first model includes only environmental variables, while the second model additionally incorporates GDP per capita as a control variable. Diagnostic Tests: Assess model validity through residual analysis, ANOVA tests, and multicollinearity diagnostics (VIF and tolerance values). Results Interpretation: Evaluate coefficient signs, statistical significance, and explanatory power to determine the impact of environmental sustainability indicators on housing prices and assess the research hypotheses. This procedure enables the replication of the empirical analysis and findings presented in the study.

Institutions

• Panteion University

  Attica, Athens

Categories

Licence