Drivers of COVID-19 vaccinations: vaccine delivery and delivery efficiency in the United States

Alfano, V., & Ercolano, S. (2020). The efficacy of lockdown against COVID-19: A cross-country panel analysis. Applied Health Economics and Health Policy, 18, 509–517. https://doi.org/10.1007/s40258-020-00596-3.

Asongu, S. A., Diop, S., & Nnanna, J. (2020). The geography of the effectiveness and consequences of Covid-19 measures: Global evidence. Journal of Public Affairs. https://doi.org/10.1002/pa.2483.

Baldwin, R., & Weder di Mauro, B. (Eds.). (2020). Economics in the time of COVID-19. Centre for Economic Policy Research. CEPR Press.

Bartolini, D., & Santolini, R. (2017). Political institutions behind good governance. Economic Systems, 41(1), 68–85.

British Medical Journal. (2020). Covid-19: politicisation, “corruption,” and suppression of science. BMJ, 371. https://doi.org/10.1136/bmj.m4425.

Chabner, B. A. (2020). The corruption of science. Oncologist, 25(11), 907–908. https://doi.org/10.1002/onco.13549.

Farzanegan, M.R., Feizi, M., Gholipour, H.F., 2020. Globalization and outbreak of COVID-19: An empirical analysis, CESifo working paper #8315, May.

Glaeser, E. L., & Saks, R. E. (2006). Corruption in America. Journal of Public Economics, 90(6–7), 1053–1072.

Goel, R. K. (2009). Technological complementarities, demand, and market power. Netnomics, 10, 161–170. https://doi.org/10.1007/s11066-009-9034-5.

Goel, R. K., Mazhar, U., & Saunoris, J. W. (2020). Identifying the corrupt cog in the wheel: Dimensions of supply chain logistics and cross-country corruption. Australian Economic Papers. https://doi.org/10.1111/1467-8454.12226.

Goel, R. K., & Nelson, M. A. (2011). Measures of corruption and determinants of US corruption. Economics of Governance, 12(2), 155–176.

Goel, R. K., & Nelson, M. A. (2021). COVID‑19 internet vaccination information and vaccine administration: Evidence from the United States. Journal of Economics and Finance. https://doi.org/10.1007/s12197-021-09551-x.

Goel, R. K., Nelson, M. A., & Goel, V. Y. (2021). COVID-19 vaccine rollout – scale and speed carry different implications for corruption. Journal of Policy Modeling. https://doi.org/10.1016/j.jpolmod.2021.04.003.

Papke, L. E., & Wooldridge, J. M. (1996). Econometric methods for fractional response variables with an application to 401(k) plan participation rates. Journal of Applied Econometrics, 11(6), 619–632.

Persad, G., Peek, M. E., & Emanuel, E. J. (2020). Fairly prioritizing groups for access to COVID-19 vaccines. JAMA, 324(16), 1601–1602. https://doi.org/10.1001/jama.2020.18513.

Potrafke, N. (2018). Government ideology and economic policy-making in the United States—A survey. Public Choice, 174, 145–207.

Price, G., & van Holm, E. (2021). The effect of social distancing on the early spread of the novel coronavirus. Social Science Quarterly. https://doi.org/10.1111/ssqu.12988.

Roccato. M., Russo, S., Colloca, P., & Cavazza, N. (2021). The lasting effects of the COVID-19 pandemic on support for anti-democratic political systems: A six-month longitudinal study. Social Science Quarterly. https://doi.org/10.1111/ssqu.12958.

Salvatore, D., Constantiello, A., & Campano, F. (2021). Implications of U.S. trade policies after the 2020 pandemic. Journal of Policy Modeling. https://doi.org/10.1016/j.jpolmod.2021.02.012.

Turnbull, G. K., & Djoundourian, S. S. (1993). Overlapping jurisdictions: Substitutes or complements? Public Choice, 75(3), 231–245.

United Nations Office on Drugs and Crime (UNODC), 2020. Covid-19 Vaccines and Corruption Risks: Preventing Corruption in the Manufacture, Allocation and Distribution of Vaccines. https://www.unodc.org/documents/corruption/COVID-19/Policy_paper_on_COVID-19_vaccines_and_corruption_risks.pdf

Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Press.