Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Table 1.

General data description.

More »

Table 1 Expand

Fig 1.

a: Distribution of market spreads, as of 4/27/2022 for all non-sinkable bonds that were not sold via private placement and that do have a settle period > 2 months. 1 bp = 0.01%. b: Distribution of spreads at issue for all non-sinkable bonds issued after 2015 that were not sold via private placement and that do have a settle period > 2 months. 1 bp = 0.01%.

More »

Fig 1 Expand

Fig 2.

a: Distribution of market spreads, as of 4/27/2022 for all non-sinkable water/sewer revenue bonds that were not sold via private placement and that do have a settle period > 2 months. 1 bp = 0.01%. b: Distribution of spreads at issue for all non-sinkable water/sewer revenue bonds issued after 2015 that were not sold via private placement and that do have a settle period > 2 months. 1 bp = 0.01%.

More »

Fig 2 Expand

Table 2.

Dataset characteristics for the whole market data and water and sewer revenue bonds only, for both response variables: market spread and spread at issue.

More »

Table 2 Expand

Fig 3.

a: Count of bonds outstanding, grouped by climate risk (risQ Score) of the issuer, for the whole market. b: Count of bonds outstanding, grouped by climate risk (risQ Score) of the issuer, for water and sewer revenue bonds only.

More »

Fig 3 Expand

Fig 4.

a: Count of bonds outstanding, grouped by percent Black of issuer, for the whole market. b: Count of bonds outstanding, grouped by percent Black of issuer, for water and sewer revenue bonds only.

More »

Fig 4 Expand

Table 3.

Model variable definitions.

More »

Table 3 Expand

Table 4.

Results for the whole market, using market spread as the response variable.

Model 1 is the “hedonic” model, which includes bond structure only. Model 2 includes bond structure and non-race SES. Model 3 includes bond structure, non-race SES, and climate and race.

More »

Table 4 Expand

Table 5.

Results for water and sewer only, using market spread as the response variable.

Model 1 is the “hedonic” model, which includes bond structure only. Model 2 includes bond structure and non-race SES. Model 3 includes bond structure, non-race SES, and climate and race.

More »

Table 5 Expand

Table 6.

Results for the whole market, using spread at issue as the response variable.

Model 4 is the “hedonic” model, which includes bond structure and market condition. Model 5 includes bond structure, market condition, and non-race SES. Model 6 includes bond structure, market condition, non-race SES, and climate and race.

More »

Table 6 Expand

Table 7.

Results for water and sewer only, using spread at issue as the response variable.

Model 4 is the “hedonic” model, which includes bond structure and market condition. Model 5 includes bond structure, market condition, and non-race SES. Model 6 includes bond structure, market condition, non-race SES, and climate and race.

More »

Table 7 Expand

Fig 5.

Correlation matrix for continuous variables used in regression models.

More »

Fig 5 Expand

Fig 6.

Racial credit spread penalties for a 100% Black community, for 1000 model simulations (histogram) versus actual data (vertical line).

The model simulations maintain all real data for each CUSIP, except for race, which is randomly shuffled at the CUSIP6 level.

More »

Fig 6 Expand