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1“...This new edition arms real estate professionals with a comprehensive approach to the economic factors that both define and affect modern urban areas. The text...”
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2by McMillen, Daniel Published in Regional science and urban economics (01.11.2015)“...This paper demonstrates that a conditionally parametric version of a quantile regression estimator is well suited to analyzing spatial data. The conditionally...”
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3by McMillen, Daniel P Published in Journal of regional science (01.02.2010)“...ABSTRACT Misspecified functional forms tend to produce biased estimates and spatially correlated errors. Imposing less structure than standard spatial lag...”
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4by Ahlfeldt, Gabriel M McMillen, Daniel P Published in The review of economics and statistics (01.12.2018)“...Abstract Despite unprecedented vertical growth in large cities, the economics of skyscrapers remain understudied. We combine data on tall buildings with a...”
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5by Daniel McMillen Published in Revue économique (01.05.2017)“...Conditionally parametric (CPAR) Probit models are used to estimate the probability that a demolition permit was issued for residential properties in Chicago...”
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6by McMillen, Daniel P Published in Journal of regional science (01.05.2012)“...ABSTRACT Though standard spatial econometric models may be useful for specification testing, they rely heavily on a parametric structure that is highly...”
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7by McMillen, Daniel P Published in Journal of urban economics (2008)“...Quantile hedonic house price function estimates imply that appreciation rates were higher between 1995 and 2005 for high-priced homes in Chicago...”
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9“...A unique data source is used to analyze the effect of the fair market rent (FMR) on the distribution of apartment rents in Los Angeles for 2007–2015. The data...”
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10“...ABSTRACT In contrast to the rigid structure of standard parametric hedonic analysis, nonparametric estimators control for misspecified spatial effects while...”
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11by Raya, Josep Maria Nicodemo, Catia McMillen, Daniel Published in Urban affairs review (Thousand Oaks, Calif.) (01.09.2020)“...Using a unique dataset and a nonparametric decomposition, we determine whether immigrants with native names, immigrants with foreign names, and natives have...”
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12“...ABSTRACT Spatial data sets pose challenges for discrete choice models because the data are unlikely to be independently and identically distributed. A...”
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13by Bonilla‐Mejía, Leonardo Lopez, Esteban McMillen, Daniel Published in Journal of regional science (01.01.2020)“...Studies of open school policies predict house prices to rise in areas that gain access to high‐quality schools. However, excess demand may limit access to...”
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14by Klier, Thomas McMillen, Daniel P Published in Journal of business & economic statistics (01.10.2008)“...A linearized logit version of Pinkse and Slade's spatial GMM estimator reduces estimation to two steps-standard logit followed by two-stage least squares...”
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15“...Motor vehicle and motor vehicle parts production tend to exhibit a strong degree of agglomeration. We estimate a location model utilizing detailed plant‐level...”
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16“...An empirical model of residential housing demolitions and the redevelopment process in the Chicago metropolitan area supports the theoretical prediction that...”
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17“...Differences in property tax rates and sales tax distribution formulas can give suburban municipalities strong incentives to attract commercial and industrial...”
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19“...We review and test Fujita and Ogawa's [Regional Science and Urban Economic 12 (1982) 161–196] model of urban spatial structure. The central theoretical...”
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20“...ABSTRACT Using nonparametric descriptive tools developed by Duranton and Overman (2005, Review of Economic Studies, 72, 1077–1106), we show that both new and...”