“…In this study, we use recent developments in panel econometrics, which consider cross-sectional dependence and parameter heterogeneity, to examine the effects of climatic conditions on cereal farming in Africa from 1970Q1 to 2017Q4. …”
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“…Notably, this study combines Time Series econometrics with Panel Data analysis to enhance methodological robustness. …”
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“…Results showed that the wind-speed models identified Katsina with higher wind-speed class than both Warri and Calabar that were otherwise identified as low wind-speed sites. However, econometrics of electricity power simulation at different hub heights of low wind-speed turbine systems showed that the cost of electric-power generation in the three study sites was converging to affordable cost per kWh of electric energy from the wind resource at each site. …”
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“…PATIENTS AND METHODS: In this study, using an econometrics Bayesian logit model, determinants of the appearance of catastrophic health expenditure based on household budget data collected in 2010 were evaluated. …”
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“…The curse of dimensionality has long been a hurdle in the analysis of complex data in areas such as computational biology, ecology and econometrics. In this work, we present a forecasting algorithm that exploits the dimensionality of data in a nonparametric autoregressive framework. …”
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“…Applying bibliometrics and econometrics, the study compares the extant research across the three sub-domains of banking and finance, production and operations, and accounting. …”
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“…To assess this impact, the study used econometrics models based on the Chinese provincial data from March 2020 to April 2021. …”
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“…In this study, we assess the impact of COVID-19 on China’s business and economic conditions; employing the quantile-on-quantile (QQ) regression and the quantile causality approaches. These econometrics batteries suit our research postulation, as they are capable to delineate underlying asymmetries across the whole distribution, based on which we can infer whether the response of China’s business and economic conditions towards COVID-19 is heterogenous or homogenous. …”
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“…Two of Peter Schmidt’s many contributions to econometrics have been to introduce a simultaneous logit model for bivariate binary outcomes and to study estimation of dynamic linear fixed effects panel data models using short panels. …”
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“…This mean-reverting behavior allowed us to apply sparse vector autoregression (sVAR)—a multivariate method developed for econometrics—to model the autoregressive component of gut community dynamics. …”
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“…The regression discontinuity design (RDD), first proposed in the educational psychology literature and popularized in econometrics in the 1960s, has only recently been applied to epidemiologic research. …”
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“…The approach is based on a standardization of the impedance matrix, similar to approaches popular in the spatial statistics and econometrics literature. The result is a more intiuitive measure of accessibility that 1) provides a local version of the provider-to-population ratio; and 2) preserves the level of demand and the level of supply in a system. …”
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“…The data were analyzed using the time series models in econometrics, Vector Auto Regression, and Granger causality technique. …”
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“…Spatial weight matrices play a key role in econometrics to capture spatial effects. However, these constructs are prone to clustering and can be challenging to analyse in common statistical packages such as STATA. …”
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“…A 1% increase of log-transformed average concentration and maximum concentrations of PM(2.5) is associated with 1.76‰ and 2.31‰ increase of perinatal mortality rates, respectively. In spatial econometrics analysis, we find PM(2.5) has significant spatial autocorrelation characteristics. …”
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“…To this end, this study using recent econometrics analysis explored the nexus between tourism arrival GDP growth, urbanization, carbon dioxide emission, and foreign direct investment for oil and non-oil sub-Saharan Africa (SSA) countries, that is, to ascertain the real impacts of tourism and FDI on the environmental performance of the regions. …”
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“…Taking the Hangzhou Bay Greater Bay Area as a case study, based on the City Business Credit Environment Index (CEI) from 2015 to 2019, we examine the characteristics of business credit networks using social network analysis and discuss the impact of business credit on urban green economy efficiency heterogeneity by drawing on spatial econometrics. The study confirms that the structure of business credit networks in the Hangzhou Bay Greater Bay Area tends to be dense, the network density and number of connections show growth, the spatial network structure is taking shape, and the strength of spatial connections among cities has increased. …”
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“…This study examines the dynamic impact of face mask use on both infected cases and fatalities at a global scale by using a rich set of panel data econometrics. An increase of 100% of the proportion of people declaring wearing a mask (multiply by two) over the studied period lead to a reduction of around 12 and 13.5% of the number of Covid-19 infected cases (per capita) after 7 and 14 days respectively. …”
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“…The used data set of the study was sourced from National Panel Survey 2020/21 and Household Budget Survey 2017/18. The econometrics analysis applied in the study include two‐stage residual inclusion (2SRI) and control function approach due to their ability to suppress endogeneity and enhance the clarity of results. …”
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