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J.B. Loomis

Publications and source records attributed to J.B. Loomis.

2 recordsLinked to original sources

The hidden cost of wildfires: Economic valuation of health effects of wildfire smoke exposure in Southern California

There is a growing concern that human health impacts from exposure to wildfire smoke are ignored in estimates of monetized damages from wildfires. Current research highlights the need for better data collection and analysis of these impacts. Using unique primary data, this paper quantifies the economic cost of health effects from the largest wildfire in Los Angeles County's modern history. A cost of illness estimate is \$9.50 per exposed person per day. However, theory and empirical research consistently find that this measure largely underestimates the true economic cost of health effects from exposure to a pollutant in that it ignores the cost of defensive actions taken as well as disutility. For the first time, the defensive behavior method is applied to calculate the willingness to pay for a reduction in one wildfire smoke induced symptom day, which is estimated to be \$84.42 per exposed person per day.

California

Two valuation questions in one survey: Is it a recipe for sequencing and instrument context effects?

Economic theory suggests that willingness to pay for two goods independently offered should remain unchanged when the survey instrument changes slightly. Four survey treatments consisting of comprehensive good and a subset of that good were used. The surveys alternated in the question ordering and in the embedded good which accompanied the comprehensive good. We tested for sequencing and instrument context effects using both a combined and split sample designs. In the combined sample case we found some evidence to sequencing effects in the data containing the first subset good. Likelihood ratio tests indicated that sequencing did not effect scale or location of parameters. In the test for instrument context effects, evidence was found indicating context does effect willingness to pay estimates.

Applied Economics