Scott Cody
Biographic Data
| ID | 6045375 |
|---|---|
| NAME | Scott Cody |
| GIVEN NAMES | Scott |
| FAMILY NAME | Cody |
| SIGNATURE | CODY S |
| AFFILIATIONS | University of Florida |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 14 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 2 |
What Works for Whom? A Bayesian Approach to Channeling Big Data Streams for Public Program Evaluation
In the coming years, public programs will capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries. Program evaluators seeking to take full advantage of these data streams will require novel statistical methods, such as Bayesian approach. A Bayesian approach to randomize…
Administrative Experiments
Administrative experiments are increasingly available for public programs with high-quality administrative data to identify what changes make programs and services more effective. Program administrators can run short-term experiments to test improvements in programs and have causally valid impact estimates within a year. Administrative experiments also can be used to better understand what works for whom by testing program improvements on key sub…
Making the Housing Unit Method Work
An Evaluation of Population Estimates in Florida
A regression approach to estimating the average number of persons per household
In the housing unit method, population is calculated as the number of households times the average number of persons per household (PPH), plus the population residing in group quarters facilities. Estimates of households and the group quarters population can be derived directly from concurrent data series, but estimates of PPH have traditionally been based on previous values or estimates for larger areas. In our study, we developed several regres…
A Regression Approach to Estimating the Average Number of Persons Per Household
In the housing unit method, population is calculated as the number of households times the average number of persons per household (PPH), plus the population residing in group quarters facilities. Estimates of households and the group quarters population can be derived directly from concurrent data series, but estimates of PPH have traditionally been based on previous values or estimates for larger areas. In our study, we developed several regres…
An Evaluation of Population Estimates in Florida
What Works for Whom? A Bayesian Approach to Channeling Big Data Streams for Public Program Evaluation
In the coming years, public programs will capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries. Program evaluators seeking to take full advantage of these data streams will require novel statistical methods, such as Bayesian approach. A Bayesian approach to randomize…
Making the Housing Unit Method Work
Administrative Experiments
Administrative experiments are increasingly available for public programs with high-quality administrative data to identify what changes make programs and services more effective. Program administrators can run short-term experiments to test improvements in programs and have causally valid impact estimates within a year. Administrative experiments also can be used to better understand what works for whom by testing program improvements on key sub…
A regression approach to estimating the average number of persons per household
In the housing unit method, population is calculated as the number of households times the average number of persons per household (PPH), plus the population residing in group quarters facilities. Estimates of households and the group quarters population can be derived directly from concurrent data series, but estimates of PPH have traditionally been based on previous values or estimates for larger areas. In our study, we developed several regres…
A Regression Approach to Estimating the Average Number of Persons Per Household
In the housing unit method, population is calculated as the number of households times the average number of persons per household (PPH), plus the population residing in group quarters facilities. Estimates of households and the group quarters population can be derived directly from concurrent data series, but estimates of PPH have traditionally been based on previous values or estimates for larger areas. In our study, we developed several regres…
An Evaluation of Population Estimates in Florida
Making the Housing Unit Method Work
Administrative Experiments
Administrative experiments are increasingly available for public programs with high-quality administrative data to identify what changes make programs and services more effective. Program administrators can run short-term experiments to test improvements in programs and have causally valid impact estimates within a year. Administrative experiments also can be used to better understand what works for whom by testing program improvements on key sub…
What Works for Whom? A Bayesian Approach to Channeling Big Data Streams for Public Program Evaluation
In the coming years, public programs will capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries. Program evaluators seeking to take full advantage of these data streams will require novel statistical methods, such as Bayesian approach. A Bayesian approach to randomize…
demographic modeling and climate adaptation (4 works) · Demography (4 works) · Economics (4 works) · Geography (4 works) · Housing Market and Economics (4 works) · Population (4 works) · Statistics (4 works) · Computer Science (3 works) · Econometrics (3 works) · Estimation (3 works)