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Using 'Big Data' To Explain Visits To Lakes In 17 Us States, Erik Nelson, Maggie Rogers, Spencer Wood, Jesse Chung, Bonnie Keeler
Using 'Big Data' To Explain Visits To Lakes In 17 Us States, Erik Nelson, Maggie Rogers, Spencer Wood, Jesse Chung, Bonnie Keeler
Economics Department Working Paper Series
We use large dataset on US lakes from 17 states to estimate the relationship between summertime visits to lakes as proxied by social media use and the lakes' water quality, amenities, and surrounding landscape features and socioeconomic conditions. Prior to estimating these relationships we worked on 1) selecting a parsimonious set of explanatory variables from a roster of more than 100 lake attributes and 2) accounting for the non-random pattern of missing water quality data. These steps 1) improved the interpretability of the estimated visit models and 2) widened our estimated models' scope of statistical inference. We used Machine Learning …
Where Do The Poor Live In Cities? Revisiting The Role Of Public Transportation On Income Sorting In Us Urban Areas, Erik Nelson
Where Do The Poor Live In Cities? Revisiting The Role Of Public Transportation On Income Sorting In Us Urban Areas, Erik Nelson
Economics Department Working Paper Series
Glaeser et al. (2008) argue that the relative distribution of poor and rich households (HHs) in American cities is "strongly" explained by the spatial location of the cities' public transportation (PT) networks. Among their claims: 1) The broad distribution of poor and rich HHs in the typical American city is consistent with a basic monocentric city model that includes commute technology speeds; 2) Poor commuters will overwhelmingly transition from commuting by PT to car if they experience a substantial increase in their HH’s income; 3) areas in American cities that receive new PT infrastructure become poorer over time. Using 2017 …