Table II.

Descriptive Statistics of Observations Pertaining to Water Clarity.

Variable	Mean	Std. Dev.	Min	Max
Dependent variable:
Elasticity	0.1167	0.2543	−0.6478	1.7198
Study area/commodity variables:
Waterfront^a	0.6808	0.4671	0	1
Mean clarity (Secchi disk depth, meters)	2.34	1.97	0.38	6.45
Lake or Reservoir^a	0.5615	0.4972	0	1
Estuary^a	0.4385	0.4972	0	1
Waterbody size^b (sq. km.)	6.8846	5.3156	0.0002	20.8858
Median income (thousands, 2017$)	59.078	14.144	37.865	91.174
College degree (% population)	0.1366	0.0414	0.0768	0.2734
Population density (households /sq. km.)	49.91	58.38	1.41	227.96
Mean house price (thousands, nominal $)	211.314	131.341	31.287	675.364
Northeast^a	0.2885	0.4539	0	1
Midwest^a	0.1923	0.3949	0	1
South^a	0.4846	0.5007	0	1
West^a	0.0346	0.1832	0	1
Methodological variables:
Elasticity variance	1228.159	18704.52	9.03E-06	301448.5
Unpublished^a	0.1500	0.3578	0	1
Not in-situ measure^a	0.6115	0.4883	0	1
Other water quality variables^a	0.2192	0.4145	0	1
Assessed values^a	0.0538	0.2261	0	1
Study time period (years)	10.27	3.82	3	24
Time trend (0=1994 to 20=2014)	8.59	6.17	0	20
No spatial methods^a	0.3808	0.4865	0	1
Double-log^a	0.4308	0.4961	0	1
Linear-log^a	0.3077	0.4624	0	1
Linear^a	0.0385	0.1927	0	1
Log-linear^a	0.2231	0.4171	0	1

Unweighted descriptive statistics presented for n=260 elasticity estimates in meta-dataset pertaining to water clarity. Estimates based on 18 primary hedonic studies, corresponding to 66 study-housing market clusters.

^(a)

Denotes independent variables that are dummy variables.

^(b)

The size of the waterbody (or waterbodies) examined in the primary studies was only available for n=79 of the 260 observations in the meta-dataset pertaining to water clarity. If multiple waterbodies were examined in the primary study hedonic regression models, then the average waterbody size is reported.