“…To this end, we fit econometric models to measure the effect of oil price shocks on inflation and to predict them under different scenarios. …”
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“…A new decision rule based on net benefit per capita is proposed and exemplified with the aim of assisting policymakers in deciding whether to lockdown or reopen an economy—fully or partially—amidst a pandemic. Bayesian econometric models using Markov chain Monte Carlo algorithms are used to quantify this rule, which is illustrated via several sensitivity analyses. …”
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“…By applying time series econometric models to weekly datasets from May 2020 to April 2021, this study finds that the Global Times narrative is significantly associated with the level of the China threat narrative in Australia, and the same is true for the corresponding global relationship. …”
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“…We use both conventional econometric and Machine Learning (ML) models that incorporate the local spread dynamics, COVID-19 cases and death, and Google search activities to assess if incorporating information about local spreads improves the predictive accuracy of models for the US stock market. …”
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“…Based on a panel database of 29,616 rural residents, the Health Utility Index (HUI) and a spatial econometric model are used for analysis. The results show that, on the temporal dimension, the health inequality of rural China first expands and then deflates. …”
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“…This study aims to measure the effects of organic production on the economic development of municipalities through spatial analysis and econometric methodologies. Thus, it estimates the impact of organic production hotspots on the 2017 gross domestic product of Brazilian municipalities and the agriculture gross value added. …”
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“…This study analyzes the role of regional demographic, socioeconomic, and political factors in mobility changes during the COVID‐19 pandemic in Germany. Spatial econometric models are applied using data from the 401 counties in Germany. …”
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“…To contrast it, we propose an econometric model using the Propensity Matching Score (PSM) methodology with data from the Learning 2018 (Aprender 2018) campaign of students at the last year of elementary school in Argentina and in each of the regions that conform it. …”
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“…By applying linear and non-linear econometric models, we find a strong engagement of adaptive behavior of returns from commodities during the ongoing pandemic. …”
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“…Accordingly, scholars have begun to seek the best methods to predict the recovery of tourism from the devastating effects of COVID-19. In this study, econometric and judgmental methods were combined to forecast the possible paths to tourism recovery in Hong Kong. …”
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“…A first descriptive analysis of data from the summer of 2020 shows that: i) resilience was not homogeneously distributed across Spanish provinces; ii) the territorial concentration of tourism demand decreased due to the pandemic crisis; iii) the distribution of resilience was not consistent with standard indicators of tourism competitiveness. Econometric modeling shows that pre-pandemic domestic market specialization and population density explain most observed variability. …”
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“…This approach helps to evaluate events through the eyes of the popular epidemiological SIR model, and to find insights that are hard to recognize in a standard econometric model.…”
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“…This paper shows that population aging is not found to be a significant determinant of health care expenditures according to the econometric analysis using OECD health data and time-series data for Korea. …”
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“…In the first part of the empirical study econometric techniques are employed to tackle the omitted-variable problem and substantial evidence is found to confirm the positive effect of college education. …”
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“…First, we demonstrate that when children use statistical information to learn about preferences, their inferences match the predictions of a simple econometric model. Next, we show that this same model can explain children's ability to learn that other people have preferences similar to or different from their own and use that knowledge to reason about the desirability of hidden objects. …”
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“…Progress towards universal health coverage involves providing people with access to needed health services without entailing financial hardship and is often advocated on the grounds that it improves population health. The paper offers econometric evidence on the effects of health coverage on mortality outcomes at the national level. …”
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“…We undertook extensive econometric analyses of several datasets, using a series of new proxies for different dimensions of globalization potentially affecting overweight in up to 887,000 women aged 15–49 living in 56 countries between 1991 and 2009. …”
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“…The data has been, and can continue to be, used to investigate econometric specification [3], bid design and other nonmarket valuation issues. …”
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“…An econometric choice task was used to estimate the implicit reward value of social and non-social stimuli related to restricted interests in children and adolescents with (n = 12) and without (n = 22) autism spectrum disorder (ASD). …”
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“…Two research questions drive the analysis: (1) how does recovery vary by acquisition funding source; and (2) what is the relationship between recovery and vulnerable populations? Through spatial econometric modeling, relative recovery is compared between two federal programs that funded the acquisitions, and across socially vulnerable populations. …”
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