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Synthetic control methodology as a tool for evaluating population-level health interventions
Background Many public health interventions cannot be evaluated using randomised
controlled trials so they rely on the assessment of observational data. Techniques for …
controlled trials so they rely on the assessment of observational data. Techniques for …
Area‐based management of blue water fisheries: Current knowledge and research needs
R Hilborn, VN Agostini, M Chaloupka… - Fish and …, 2022 - Wiley Online Library
The pelagic fisheries beyond the continental shelves are currently managed with a range of
tools largely based on regulating effort or target catch. These tools comprise both static and …
tools largely based on regulating effort or target catch. These tools comprise both static and …
Standard synthetic control methods: The case of using all preintervention outcomes together with covariates
It is becoming increasingly popular in applications of standard synthetic control methods to
include the entire pretreatment path of the outcome variable as economic predictors. We …
include the entire pretreatment path of the outcome variable as economic predictors. We …
Can direct innovation subsidies relax SMEs' financial constraints?
Financial constraints hamper the ability of small and medium-sized enterprises (SMEs) to
undertake innovative activities, which, in turn, affects countries' long-term growth. Therefore …
undertake innovative activities, which, in turn, affects countries' long-term growth. Therefore …
Money talks: the environmental impact of China's green credit policy
This study examines the impact of China's green credit policy on the environment. In
particular, we consider an initiative that requires all banks to base their loan decisions on …
particular, we consider an initiative that requires all banks to base their loan decisions on …
Confounding and regression adjustment in difference‐in‐differences studies
Objective To define confounding bias in difference‐in‐difference studies and compare
regression‐and matching‐based estimators designed to correct bias due to observed …
regression‐and matching‐based estimators designed to correct bias due to observed …
Now trending: Co** with non-parallel trends in difference-in-differences analysis
Difference-in-differences (DID) analysis is used widely to estimate the causal effects of
health policies and interventions. A critical assumption in DID is “parallel trends”: that pre …
health policies and interventions. A critical assumption in DID is “parallel trends”: that pre …
[HTML][HTML] Switching to self-employment can be good for your health
M Nikolova - Journal of Business Venturing, 2019 - Elsevier
Relying on theoretical insights from the Job Demand-Control model, which links
occupational characteristics to health, this paper provides the first causal evidence of the …
occupational characteristics to health, this paper provides the first causal evidence of the …
Synthetic control methods: Never use all pre-intervention outcomes together with covariates
It is becoming increasingly popular in applications of synthetic control methods to include
the entire pre-treatment path of the outcome variable as economic predictors. We …
the entire pre-treatment path of the outcome variable as economic predictors. We …
ANCOVA versus change score for the analysis of two-wave data
O Lüdtke, A Robitzsch - The Journal of Experimental Education, 2023 - Taylor & Francis
There is a longstanding debate on whether the analysis of covariance (ANCOVA) or the
change score approach is more appropriate when analyzing non-experimental longitudinal …
change score approach is more appropriate when analyzing non-experimental longitudinal …