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His areas of research specialization are in the use of econometric, experimental, and game-theoretic tools to analyze the impact of development programs.
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This study has investigated the views of policy stakeholders on the use of econometric modelling to inform a high-profile public health policy debate.
There was general enthusiasm for increased use of econometric modelling to inform future policymaking but an appreciation that such evidence should only form one input into the process.
The desire for empirically verifiable proxies and weights has led to the use of econometric models that examine the association between use of services and a wide range of need variables.
One exhaustive study, by James Ziliak and Thomas Kniesner*, makes use of sophisticated econometric techniques to show that labour supply of American men rose by around 3% after the tax cuts of the 1980s.
For example, the use of standard econometric methods from literature on peer effects substantially reduces evidence of social network effects in obesity.
Secondly, it explores empirically the main drivers of their innovative output, proxied by patents, using a variety of econometric techniques and control variables.
We used the standard battery of econometric tests performed to assess the validity of instruments.
This paper explores the role of state regulation using an econometric model of the impact of regulation on growth.
To establish causal relationships between liquidity and volatility, we use the econometric notion of Granger causality [11].
We use a quasi-experimental spatial econometric approach, the spatial difference-in-differences model, to measure the causal relationship between urban rail investments and gentrification, which allows us to capture the average direct and indirect (spatial spillover) effects of urban rail on several socioeconomic measures of gentrification.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com