The present study develops a spatial unconditional quantile regression by extending Firpo et al.’s (Econometrica 77:953–973, 2009) unconditional quantile regression and empirically investigates the determinants of parking prices at different quantiles of prices in Japan. The empirical results suggest that spatial competition in terms of unit price and the unit time play important roles in determining parking prices. On the contrary, price is unaffected by demand, approximated by adopting several employment density variables and aggregated people flow data obtained from cell phones. Besides, significant differences exist among the factors that affect parking prices during the day and at night as well as among the unconditional quantiles.

中文翻译：

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空间无条件分位数回归：应用于日本停车价格数据

本研究通过扩展Firpo等人（Econometrica 77：953-973，2009）的无条件分位数回归来发展空间无条件分位数回归，并通过实证研究了日本不同价格分位数的停车价格的决定因素。实证结果表明，在单位价格和单位时间方面的空间竞争在确定停车价格方面起着重要作用。相反，价格不受需求的影响，可以通过采用几个就业密度变量和从手机获得的汇总人流量数据来近似得出。此外，白天和晚上影响停车价格的因素之间以及无条件分位数之间也存在显着差异。