Research and Other Projects
My research activities are motivated by my interests in the study of American Political Institutions, Congressional Elections, Representation, and Data Science/Quantitative Methods. More specifically, my research is focused on better understanding how institutional factors impact the relationship between the legislative and executive branches of the U.S. government, as well as how both institutional and electoral factors influence congressional elections from the perspective of both the candidates and voters. I provide links to my published and ongoing research below.
Peer-Reviewed Publications:
Shay, Laine P., and Jason S. Byers. "Can’t Buy Me Love? An Experiment on the Relationship Between Federal Grant Spending and Public Approval of Federal Agencies." Public Management Review. 26(6): 1547-1565.
Zhukov, Yuri M., Jason S. Byers, Marty A. Davidson II, and Ken Coleman. "Integrating Data Across Misaligned Spatial Units." Political Analysis. 32(1): 17-33.
Byers, Jason S., and Laine P. Shay. "What Explains a Representative’s Staffing “Style”? Exploring the Relationship between Congressional Staffing Decisions and Electoral Considerations." American Politics Research. 51(6): 749-762.
Krause, George A., and Jason S. Byers. "Proponents, Caretakers, and the Dynamics of Administrative Leadership Turnover in U.S. Executive Agencies." Political Research Quarterly. 76(4): 1707-1722.
Byers, Jason S., and Jeff Gill. 2022. "Applied Geospatial Bayesian Modeling in the Big Data Era: Challenges and Solutions." Mathematics. 10(21): 4116-4138.
Krause, George A., and Jason S. Byers. 2022. "Confirmation Dynamics: Differential Vetting in the Appointment of U.S. Federal Agency Leaders." Journal of Politics. 84(2): 1189-1201.
Byers, Jason S., and Laine P. Shay. 2022. "We Have it Totally Under Control? Exploring the Effects of Ideology and Knowing Someone Diagnosed with Covid-19 on Evaluations of President Trump's Leadership On the Pandemic." American Politics Research. 50(1): 83-96.
Byers, Jason S., and Laine P. Shay. 2021. "Position Taking on the President's Agenda." Political Behavior. 43(2): 495-516.
Byers, Jason S., Jamie L. Carson, and Ryan D. Williamson. 2020. "Policymaking by the Executive: Examining the fate of Presidential Agenda Items." Congress & the Presidency. 47(1): 1-31.
Byers, Jason S., and Jamie L. Carson. 2017. "Trump and the Republican Congress: The Challenges of Governing." The Forum. 15(3): 499-512.
Editor-Reviewed Publications:
Byers, Jason S. 2020. "Elephants Grumble: The Republican Establishment's Resistance to Donald Trump." In The Republican Resistance: # NeverTrump Conservatives and the Future of the GOP. Andrew Pieper and Jeff DeWitt, Editors. Lexington Books.
Byers, Jason S., and Jamie L. Carson. 2017. "What's Rules Got to Do with It? Parties, Reform, and Selection in the Presidential Nomination Process." In Changing How America Votes. Todd Donovan, Editor. Rowman and Littlefield.
Software:
Jason S. Byers, Marty Davidson, and Yuri M. Zhukov. 2020. "SUNGEO: Sub-National Geospatial Data Archive: Geoprocessing Toolkit."
Jason S. Byers, Le Bao, Jamie L. Carson, and Jeff Gill. 2018. "krige: Geospatial Kriging with Metropolis Sampling."
My research activities are motivated by my interests in the study of American Political Institutions, Congressional Elections, Representation, and Data Science/Quantitative Methods. More specifically, my research is focused on better understanding how institutional factors impact the relationship between the legislative and executive branches of the U.S. government, as well as how both institutional and electoral factors influence congressional elections from the perspective of both the candidates and voters. I provide links to my published and ongoing research below.
Peer-Reviewed Publications:
Shay, Laine P., and Jason S. Byers. "Can’t Buy Me Love? An Experiment on the Relationship Between Federal Grant Spending and Public Approval of Federal Agencies." Public Management Review. 26(6): 1547-1565.
Zhukov, Yuri M., Jason S. Byers, Marty A. Davidson II, and Ken Coleman. "Integrating Data Across Misaligned Spatial Units." Political Analysis. 32(1): 17-33.
Byers, Jason S., and Laine P. Shay. "What Explains a Representative’s Staffing “Style”? Exploring the Relationship between Congressional Staffing Decisions and Electoral Considerations." American Politics Research. 51(6): 749-762.
Krause, George A., and Jason S. Byers. "Proponents, Caretakers, and the Dynamics of Administrative Leadership Turnover in U.S. Executive Agencies." Political Research Quarterly. 76(4): 1707-1722.
Byers, Jason S., and Jeff Gill. 2022. "Applied Geospatial Bayesian Modeling in the Big Data Era: Challenges and Solutions." Mathematics. 10(21): 4116-4138.
Krause, George A., and Jason S. Byers. 2022. "Confirmation Dynamics: Differential Vetting in the Appointment of U.S. Federal Agency Leaders." Journal of Politics. 84(2): 1189-1201.
Byers, Jason S., and Laine P. Shay. 2022. "We Have it Totally Under Control? Exploring the Effects of Ideology and Knowing Someone Diagnosed with Covid-19 on Evaluations of President Trump's Leadership On the Pandemic." American Politics Research. 50(1): 83-96.
Byers, Jason S., and Laine P. Shay. 2021. "Position Taking on the President's Agenda." Political Behavior. 43(2): 495-516.
Byers, Jason S., Jamie L. Carson, and Ryan D. Williamson. 2020. "Policymaking by the Executive: Examining the fate of Presidential Agenda Items." Congress & the Presidency. 47(1): 1-31.
Byers, Jason S., and Jamie L. Carson. 2017. "Trump and the Republican Congress: The Challenges of Governing." The Forum. 15(3): 499-512.
Editor-Reviewed Publications:
Byers, Jason S. 2020. "Elephants Grumble: The Republican Establishment's Resistance to Donald Trump." In The Republican Resistance: # NeverTrump Conservatives and the Future of the GOP. Andrew Pieper and Jeff DeWitt, Editors. Lexington Books.
Byers, Jason S., and Jamie L. Carson. 2017. "What's Rules Got to Do with It? Parties, Reform, and Selection in the Presidential Nomination Process." In Changing How America Votes. Todd Donovan, Editor. Rowman and Littlefield.
Software:
Jason S. Byers, Marty Davidson, and Yuri M. Zhukov. 2020. "SUNGEO: Sub-National Geospatial Data Archive: Geoprocessing Toolkit."
Jason S. Byers, Le Bao, Jamie L. Carson, and Jeff Gill. 2018. "krige: Geospatial Kriging with Metropolis Sampling."