基于LASSO回归和弹性网回归的合肥市房价影响因素分析

Analysis of Factors Affecting Housing Prices in Hefei Based on LASSO and Elastic Net Regression

摘要: 研究住宅商品房平均销售价格对于把握区域房地产市场动态、指导政策制定和居民购房决策具有重要意义。本文基于2002~2023年合肥市住宅商品房平均销售价格和相关的指标数据，运用LASSO回归和弹性网回归进行变量选择，得到了影响合肥市住宅商品房平均销售价格的主要因素，两种方法得到的模型精准度和拟合效果均较好，本理论丰富了住宅商品房价格的理论体系，为政府制定相关政策提供了实证依据。

Abstract: An investigation into the average selling price of residential commercial housing proves instrumental in comprehending regional real estate market dynamics, informing policy formulation, and facilitating home purchase decision-making. Leveraging Hefei’s residential housing price data spanning 2002~2023 alongside relevant indicators, this study employs LASSO regression and elastic net regression methodologies for variable selection, successfully identifying primary determinants of housing prices. Both modeling approaches demonstrate satisfactory predictive accuracy and model fit. The theoretical contributions herein augment existing frameworks pertaining to residential housing valuation while simultaneously furnishing empirical evidence to support governmental policy development.