scholarly journals Hofstede’s cultural dimensions in the gravity model using mixed-effect model

2021 ◽  
Vol 24 (2) ◽  
pp. 306-328
Author(s):  
Sotya Fevriera ◽  
Nadia Marettania ◽  
Virgiana Nugransih Siwi
Keyword(s):  
Gravity Model ◽  
Random Effect ◽  
Cultural Dimensions ◽  
Mixed Effect Model ◽  
Mixed Effect ◽  
Effect Model ◽  
Negative Effect ◽  
Per Capita ◽  
Trade Partners

According to the gravity model, the closer the distance between two countries, the trade activity between those countries will be greater. This research aims to know whether the gravity model works on Indonesian export value in 2002-2019. Besides the distance, this research also study the effects of population, per capita PPP GDP and Hofstede cultural dimensions. The research was done using a mixed-effect model. The results of this study show that together, population, per capita PPP GDP, distance and Hofstede cultural dimensions have significant effects on Indonesian export value. The gravity model is proven in this study because distance has a negative effect on export value. Individually, population, per capita PPP GDP and long-term orientation index have a positive significant effect while masculinity index has a negative significant effect on export value. Indonesian export values tend to be elastic toward per capita PPP GDP, population and the distance. This research also found that the effect of per capita PPP GDP has a random effect or its effect is difference among Indonesia’s main trade partners.

scholarly journals A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation

Psychometrika ◽  
2021 ◽  
Author(s):  
Steffen Nestler ◽  
Sarah Humberg
Keyword(s):  
Prediction Models ◽  
Random Effect ◽  
Regression Tree ◽  
Residual Variance ◽  
Mixed Effect Model ◽  
Lasso Regression ◽  
Marginal Maximum Likelihood ◽  
Tree Model ◽  
Mixed Effect ◽  
Effect Model

AbstractResearch in psychology is experiencing a rapid increase in the availability of intensive longitudinal data. To use such data for predicting feelings, beliefs, and behavior, recent methodological work suggested combinations of the longitudinal mixed-effect model with Lasso regression or with regression trees. The present article adds to this literature by suggesting an extension of these models that—in addition to a random effect for the mean level—also includes a random effect for the within-subject variance and a random effect for the autocorrelation. After introducing the extended mixed-effect location scale (E-MELS), the extended mixed-effect location-scale Lasso model (Lasso E-MELS), and the extended mixed-effect location-scale tree model (E-MELS trees), we show how its parameters can be estimated using a marginal maximum likelihood approach. Using real and simulated example data, we illustrate how to use E-MELS, Lasso E-MELS, and E-MELS trees for building prediction models to forecast individuals’ daily nervousness. The article is accompanied by an R package (called ) and functions that support users in the application of the suggested models.

scholarly journals Evidence of a range expansion in sunfish from 47 years of coastal sightings

2022 ◽  
Vol 169 (2) ◽  
Author(s):  
Olga Lyashevska ◽  
Deirdre Brophy ◽  
Steve Wing ◽  
David G. Johns ◽  
Damien Haberlin ◽  
...  
Keyword(s):  
Range Expansion ◽  
Sea Surface ◽  
Linear Mixed Effect Model ◽  
Mixed Effect Model ◽  
Mixed Effect ◽  
Ocean Sunfish ◽  
Science Projects ◽  
Effect Model ◽  
The Mean

AbstractAlmost nothing is known about the historical abundance of the ocean sunfish. Yet as an ecologically and functionally important taxa, understanding changes in abundance may be a useful indicator of how our seas are responding to anthropogenic changes including overfishing and climate change. Within this context, sightings from a coastal bird observatory (51.26$$^\circ$$ ∘ N, 9.30$$^\circ$$ ∘ W) over a 47 year period (from April to October 1971–2017) provided the first long-term index of sunfish abundance. Using a general linear mixed effect model with a hurdle to deal with imperfect detectability and to model trends, a higher probability of detecting sunfish was found in the 1990s and 2000s. Continuous Plankton Recorder (CPR) phytoplankton color indices and the annual mean position of the 13 $$^{\circ }$$ ∘ C sea surface isotherm were significantly correlated with the probability of detecting sunfish. An increase in siphonophore abundance (as measured by the CPR) was also documented. However, this increase occurred 10–15 years after the sunfish increase and was not significantly correlated with sunfish abundance. Our results suggest that the observed increase in sunfish sightings is evidence of a range expansion because it was significantly correlated with the mean position of the 13 $$^{\circ }$$ ∘ C isotherm which moved northwards by over 200 km. Furthermore, the observed increase in sunfish occured  10 years before sunfish sightings are documented in Icelandic and Norwegian waters, and was concurrent with well-known range expansions for other fish species during the 1990s. This study demonstrates how sustained citizen science projects can provide unique insights on the historical abundance of this enigmatic species.

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