Empirical Innovations in Policy Analysis
Datos Bibliográficos
| ID | 6330336 |
|---|---|
| Autores | Grant Blume, Tyler Andrew Scott (0000-0002-4214-5895), Tyler Scott, Maureen A Pirog, Maureen Pirog |
| Año | 2014 |
| Volumen | 42 |
| Número | S1 |
| Fecha de publicación | 2014-04-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Policy Studies Journal (JOURNAL) |
| Identificadores de la revista | ISSN: 0190-292X • E-ISSN: 1541-0072 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/psj.12050 |
| OpenAlex | W2111609075 |
| Idioma | EN |
| Citas recibidas | 4 |
| Referencias citadas | 43 |
In this article we survey the field of policy analysis from two perspectives. First, we discuss recent arguments made for and against the use of random assignment in social experimentation and policy analysis. Second, we argue that data, not methods, are driving policy analysis innovation. We review the benefits and drawbacks of three types of data—administrative data, spatial data, and Big Data—and discuss the role, or potential role, each plays in extant policy analysis. We end with a comment on what we believe are the future directions and areas of growth for the field of policy analysis in coming years
Big data · Data mining · Data science · Economics · Extant taxon · Field (mathematics · Policy analysis · Political science · Public economics · Regional science · Sociology · Computer Science · Data-Driven Disease Surveillance · Public Administration · Spatial and Panel Data Analysis · Survey Methodology and Nonresponse
Handbook of Education Policy Research
Detecting influenza epidemics using search engine query data
Google Trends
Predicting the Present with Google Trends
Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments
Statistics and Causal Inference
Multiple Imputation for Nonresponse in Surveys
Goals for Statistical Uses of Administrative Records
Using State Administrative Data to Measure Program Performance
Wildland fire risk and social vulnerability in the Southeastern United States
Assessing policy measures for the stimulation of intermodal transport
Ethnic enclave residence, employment, and commuting of Latino workers
Reply comments
Nathan response to Robinson Hollister's opening statement
Political and Public Acceptability of Congestion Pricing
Are Charitable Giving and Religious Attendance Complements or Substitutes? The Role of Measurement Error
The crowding out hypothesis
No renters in my suburban backyard
Three conditions under which experiments and observational studies produce comparable causal estimates
The Effect of Media on Charitable Giving and Volunteering
The role of random assignment in social policy research
Credit scores, race, and residential sorting
Hollister response to Richard Nathan's opening statement
Inequities in enforcement? Environmental justice and government performance
Get the question right, then choose the method
Reply comments
The role of random assignment in social policy research
Decentralized governance and environmental change
Inside national service
Do some enterprise zones create jobs
Regulating Abortion
Some empirically viable alternatives to random assignment
An analysis of the neighborhood impacts of a mortgage assistance program
Fiscal Rules and the Composition of Government Expenditures in OECD Countries
Can Nonexperimental Estimates Replicate Estimates Based on Random Assignment in Evaluations of School Choice? A Within‐Study Comparison
Child care subsidy patterns
Capturing Curiosity
Trends and Innovations in Public Policy Analysis
| Obras citantes distintas | 4 |
|---|---|
| Citas por año | 0,36 |
| Intervalo de citas | 2015 - 2020 (6) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 4 |