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How program managers can use random assignment (i.e., a lottery) to build evidence that can improve customer service: An interview with Matthew Notowidigdo, Northwestern University – Episode #163

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Conteúdo fornecido por Andy Feldman. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Andy Feldman ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

How can program managers within public agencies — whether local, state or federal — use random assignment (in other words, a lottery) within programs to build evidence that can strengthen results and improve customer service?

A good example comes from South Carolina. Its Medicaid program is administered through Managed Care Organizations, which offer different health care plans to Medicaid beneficiaries. What happens when people don’t choose a plan? In those cases, the state has begun randomly assigning those individuals to plans. It’s not only a fair way to make those assignment decisions, but it also allows researchers to build credible evidence about the different Medicaid plans — and about the state’s star ratings of those plans.

To learn more, we are joined by Matthew Notowidigdo, and an affiliated professor at J-PAL. With Craig Garthwaite of Northwestern, he has been studying South Carolina’s Medicaid system as part of JPAL-North America’s State and Local Innovation Initiative.

The post How program managers can use random assignment (i.e., a lottery) to build evidence that can improve customer service: An interview with Matthew Notowidigdo, Northwestern University – Episode #163 appeared first on Gov Innovator Podcast.

  continue reading

101 episódios

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Manage episode 197118948 series 128719
Conteúdo fornecido por Andy Feldman. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Andy Feldman ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

How can program managers within public agencies — whether local, state or federal — use random assignment (in other words, a lottery) within programs to build evidence that can strengthen results and improve customer service?

A good example comes from South Carolina. Its Medicaid program is administered through Managed Care Organizations, which offer different health care plans to Medicaid beneficiaries. What happens when people don’t choose a plan? In those cases, the state has begun randomly assigning those individuals to plans. It’s not only a fair way to make those assignment decisions, but it also allows researchers to build credible evidence about the different Medicaid plans — and about the state’s star ratings of those plans.

To learn more, we are joined by Matthew Notowidigdo, and an affiliated professor at J-PAL. With Craig Garthwaite of Northwestern, he has been studying South Carolina’s Medicaid system as part of JPAL-North America’s State and Local Innovation Initiative.

The post How program managers can use random assignment (i.e., a lottery) to build evidence that can improve customer service: An interview with Matthew Notowidigdo, Northwestern University – Episode #163 appeared first on Gov Innovator Podcast.

  continue reading

101 episódios

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