Poverty dynamics with panel data
Panel surveys track the same households over time to estimate who moves into and out of poverty and what predicts those moves.
GCRI · 사회와 인간 개발
Econometrics estimates relationships in social and economic data. In this field it measures how income, prices, shocks and policies relate to poverty, wellbeing and inequality, using panels and time series with uncertainty stated.
Econometrics applies statistical methods to economic data to estimate relationships, test theories and forecast. It provides empirical evidence on how shocks and policies affect economic outcomes. In society and human development and information and public trust, econometric evidence estimates how disasters, pandemics and financial shocks affect output, employment and prices. It informs the economic case for 위험 경감. The canonical description is on STEM Commons.
Panel surveys track the same households over time to estimate who moves into and out of poverty and what predicts those moves.
Household spending patterns and price data estimate how food and energy price changes affect real incomes across the distribution.
Inequality is decomposed into differences within and between groups, such as regions or genders, to see where gaps come from.
팀이 이 방법을 따라가는 데 사용할 화면으로, 그 지표, 상태, 결정을 보여 줍니다. 이름은 예시이며 값은 설명용입니다.
Society and human development · Econometrics for social outcomes · Run R-6763
강건 표준오차
| People in need | 0.58 | 0.07 | [−0.2, 1.0] | 예 |
| 다차원 빈곤 | −0.22 | 0.08 | [−0.5, 0.9] | 아니요 |
| Internally displaced people | 0.24 | 0.09 | [−0.6, 0.7] | 예 |
| School attendance | 0.14 | 0.11 | [−0.3, 0.3] | 아니요 |
Datasets and records used by econometrics on this platform, with the role each plays and the label its values carry. Sources are listed in 출처 등록부.
| 데이터 | 역할 | 라벨 |
|---|---|---|
| Panel household surveys | Dynamics | 보고됨 |
| Price indices | Price changes | 공표 통계 |
| Income and consumption surveys | 분배 | 추정 |
모형, 그 가정, 데이터, 불확실성을 과학자나 엔지니어가 확인할 형태로 제시합니다. 구조는 발행된 방법을 따릅니다. 제시된 값은 예시이며 결과가 아닙니다.
The couplings between the systems in econometrics for social outcomes: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
Models are assessed through specification tests, robustness checks and out-of-sample performance. Results are compared across datasets and methods.
| 점검 | 수행 방식 |
|---|---|
| Measurement error | Analyses account for measurement error in income and consumption |
| Robustness to specification | Results are tested across models |
| Attrition analysis | Panel attrition is assessed for bias |
Endogeneity, measurement error and structural change can bias estimates. Relationships may shift under extreme conditions.
Process explorer · Process
10 steps·4단계
절차
PRISMA 2020은 체계적 문헌고찰을 위한 보고 지침입니다. 단계는 의무적 순서가 아니라 그 체크리스트를 따르며, 이를 채택한 Nexus 문서는 없습니다.
보고서Outline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.
경제 개발 stewards econometrics for the Consortium and reviews how it is applied across platforms.
Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
개인정보, 민감한 인프라 세부 정보, 공유할 권리가 없는 자료는 절대 보내지 마십시오. 기여물은 사용 전에 검토됩니다. 기여물을 보낸다고 해서 저작자 지위나 편집 권한이 부여되지 않으며, 후원으로 조사 결과를 얻을 수 없습니다.
정보와 문의는 오늘부터 열려 있습니다. 문의에는 참조 번호가 부여되고 다음 단계가 안내됩니다. 신청, 결제, 컴퓨팅 할당, 등록은 해당 팀, 약관, 심사 역량이 갖추어졌을 때만 열립니다.
이 사이트의 지도, 데이터와 그림은 맥락과 일반 정보로 제시됩니다. 조언, 예보 또는 경보가 아니며, 정보의 한계는 면책 고지와 데이터 고지에 나와 있습니다.
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