Kaylee K. Wells

Kaylee K. Wells

She/Her

PhD candidate in Agricultural and Applied Economics (expected May 2025)

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

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Blog Post number 4

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Blog Post number 2

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Blog Post number 1

less than 1 minute read

Published:


This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

datasets

'Prairie Directory of North America' (2013) Entries for the Tallgrass, Mixed Grass, and Shortgrass Prairie Regions of the United States


with Carlos Martinez and Gisselle Pena

Published:


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This dataset contains transcribed entries from the “Prairie Directory of North America” (Adelman and Schwartz 2013) for the Tallgrass, Mixed Grass, and Shortgrass prairie regions of the united states. We identified the historical spatial extent of the Tallgrass, Mixed Grass, and Shortgrass prairie regions using Ricketts et al. (1999), Olson et al. (2001), and Dixon et al. (2014) and selected the counties entirely or partially within these boundaries from the USDA Forest Service (2022) file. The resulting lists of counties are included as separate files. The dataset contains information on publicly accessible grasslands and prairies in these regions including acreage and amenities like hunting access, restrooms, parking, and trails. This is joint work with undergraduates Carlos Martinez and Gisselle Pena.

Recommended citation: Martinez, C., G. Pena, and K. K. Wells. 2024. 'Prairie Directory of North America' (2013) Entries for the Tallgrass, Mixed Grass, and Shortgrass Prairie Regions of the United States. Illinois Data Bank. doi: 10.13012/B2IDB-0421892_V1

publications

talks

teaching

ACE 255: The Economics of Food and Environmental Justice


Teaching Assistant, University of Illinois, Agricultural and Consumer Economics
Spring 2021, Spring 2022, and Fall 2024
Supervisor(s): Amy W. Ando/Marin Skidmore

Included on the list of teachers ranked as excellent by their students for Spring 2021.
Responsibilities

  • Lead weekly discussion sessions
  • Grade Assignments
  • Hold weekly office hours

ACE 310 Natural Resource Economics


Teaching Assistant, University of Illinois, Agricultural and Consumer Economics
Fall 2020 and Fall 2021
Supervisor(s): Renata Endres

Responsibilities

  • Lead weekly discussion sessions
  • Grade assignments
  • Hold weekly office hours

ACE 500: Applied Economic Theory


Teaching Assistant, University of Illinois, Agricultural and Consumer Economics
Fall 2023
Supervisor(s): Bill Ridley

Responsibilities

  • Grade Assignments
  • Hold weekly office hours

M.S./MAAE Math Camp 2023


Instructor
August 07, 2023 - August 11, 2023
Supervisor(s): Bill Ridley

Responsibilities

  • Plan and teach a week-long (16-hour) math review for incoming master’s students on topics including univariate calculus, multivariate calculus, matrix algebra, optimization, and statistics

wip

Grassland restoration at the landscape level: Value based on a nationally representative sample


with Amy W. Ando, Sahan T. M. Dissanayake, and Rich Iovanna

Before European settlement, diverse, functioning grassland covered much of the major grassland regions in the Midwestern and Western parts of the U.S. Recent estimates suggest that nearly 80% of the historical extent of grasslands in this part of the country have been converted for agriculture and development and conversion continues today. Grasslands are important for carbon sequestration, controlling soil erosion, and providing pollinator habitat. USDA and other organizations know grassland restoration is valuable, but do not know how much people value their restoration at the landscape level. This research addresses this question for the Tallgrass, Mixed Grass, and Short Grass prairie regions using a nationally representative choice experiment survey of over 1,200 Americans. We focus on these prairie regions because over 76% of all acres enrolled in the USDA Conservation Reserve Program (CRP) in 2022 were located there, making these regions most likely to be the focus of a similar landscape-level restoration project. In the survey, we present each respondent with six choice tasks each including a program and status quo option. Program attributes include the size of the area restored to grassland, the quality of the restored grassland, the extent of public access on the restored land, and the annual cost of the program to each respondent’s household as an increase in federal taxes. This research also addresses two methodological questions relevant to the choice experiment literature. The first relates to the inclusion of factual but politically divisive information about climate change in the survey influences willingness to pay (WTP). The second explores whether including a follow-up question intended to help identify yea-sayers provides information in addition to more commonly used follow-up questions for hypothetical bias mitigation (e.g., consequentiality questions). We contracted with IPSOS to elicit responses to the survey from their Knowledge Panel. Data collection was completed in Fall 2023. The most preferred program (with the highest level of quality and highest level of public access without hunting) produces a total value to adult Americans of about $5.2 billion per million acres restored. This estimate more than exceeds the average cost the government incurred to enroll an additional million acres in USDA’s Conservation Reserve Program in 2022 ($80.83 million). We also find descriptive evidence suggesting that being exposed to factual, but politically divisive, information affects WTP among people who identify as a member of a major political party but has no effect on independents.

Public access, ecological integrity, and people’s heterogeneous values of grassland restoration


with Amy W. Ando, Sahan T. M. DIssanayake, Rich Iovanna, and Sarah Cline

Grassland, or prairie, ecosystems provide many benefits to society including species habitat, carbon sequestration, soil erosion control, and recreational opportunities. At the same time, grassland ecosystems in North America are disappearing, with grassland loss in most areas exceeding 80% since the mid-1800’s; in Illinois the loss is 99.9%. The USDA protects and restores grasslands through the Conservation Reserve Program. However, it is more costly for farmers to plant high quality grassland habitat on CRP acres, and much remains unknown about public willingness to pay (WTP) for grassland restoration projects and how that varies with grassland quality and public access to restored grasslands. This study quantifies the relationship between the value of grassland restoration and its ecological quality and public access. We use a choice experiment survey of residents in the Tallgrass Prairie region that includes area restored, ecological quality, public access with and without hunting, and annual cost to households as attributes. There were two experimental treatments in survey administration: with and without video (to see if video of the thing being valued changes respondents’ expressed preferences) and with the cost attribute expressed in terms of sales tax or income tax (to see if this affected responses from low income people who do not pay income tax.) We find that people have large MWTP for acres of grassland restored, and that the premium people are willing to pay for diverse grassland habitat is high. We also find that people have large MWTP to have walking and biking, while the average MWTP to have hunting also available is negative. Findings yield interesting insights into how preferences for open space and recreation vary among different groups of people.

The recreational value of grasslands in the Tallgrass Prairie region of the United States


Recreation is one of many ecosystem services grasslands provide globally (Zhao et al. 2020). In the Tallgrass Prairie Region of the United States public and private groups like USDA, U.S. Forest Service, and The Nature Conservancy are actively involved in restoring and preserving grasslands to which they provide varying degrees of public access. How much do people living in the Tallgrass Prairie Region states of Iowa, Illinois, and Minnesota value the recreational opportunities grasslands provide? I answer this question using the travel cost method. Although the literature contains related travel cost studies (e.g., Knoche et al. 2015), this is the first study to focus on grassland recreation in this region outside of the context of specific grassland species or conservation programs. Data on trip demand comes from a general population survey of adults living in the three target states. I estimate a repeated discrete choice model (Morey et al. 1993) and find that average per-trip recreational value for grasslands in the region is just under $10. I also find that people over 65 and those who identify as black are significantly more likely to choose not to recreate at a grassland than people between 18 and 24 and people who identify as white and not Hispanic.

working_papers

U.S. grassland recreation under climate change: Evidence from big data and weather (Job Market Paper)


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Grasslands offer many important ecosystem services including recreational opportunities, but grassland recreation may be particularly sensitive to the effects of extreme heat from climate change. What impact will climate change have on grassland recreation and the well-being of the people in the U.S. heartland who uses these sites? I use mobility data to estimate a structural model of the causal relationship between short-run weather shocks and demand for recreation at 16 nationally notable grasslands. The mobility data are estimates of the number of day trips from households in nearby U.S. census block groups to each grassland for the months January 2019-April 2022. The structural model is a repeated discrete choice random utility maximization model. I specify utility for a visit to each grassland in each month as a function of average daily temperature, daily precipitation, average daily wind speed, and daily snowfall. Using grassland, month-of-year, and hunting season fixed effects, I identify the relationship between short-run deviations from typical weather and demand for grassland recreation. Willingness to pay (WTP) per household for a grassland day trip is about $54 on average. I find that an additional day of extremely hot temperatures in a month would decrease average WTP for a grassland visit by about $0.60 on average, which is comparable to estimates for coastal fishing. Snowfall is also a significant determinant of grassland recreation demand. Responses to temperature and snowfall are heterogeneous across climates. Grassland recreators in warmer climates are more responsive to temperature in general than recreators in colder climates. They also respond positively to additional days of snowfall in contrast to recreators in colder climates.