scholarly journals Distributed lag models to identify the cumulative effects of training and recovery in athletes using multivariate ordinal wellness data

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Erin M. Schliep ◽  
Toryn L. J. Schafer ◽  
Matthew Hawkey
Keyword(s):  
Factor Model ◽  
Well Being ◽  
Cumulative Effects ◽  
Long Term Effects ◽  
Latent Factor ◽  
Ordinal Response ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Major League Soccer ◽  
Lag Model

Abstract Subjective wellness data can provide important information on the well-being of athletes and be used to maximize player performance and detect and prevent against injury. Wellness data, which are often ordinal and multivariate, include metrics relating to the physical, mental, and emotional status of the athlete. Training and recovery can have significant short- and long-term effects on athlete wellness, and these effects can vary across individual. We develop a joint multivariate latent factor model for ordinal response data to investigate the effects of training and recovery on athlete wellness. We use a latent factor distributed lag model to capture the cumulative effects of training and recovery through time. Current efforts using subjective wellness data have averaged over these metrics to create a univariate summary of wellness, however this approach can mask important information in the data. Our multivariate model leverages each ordinal variable and can be used to identify the relative importance of each in monitoring athlete wellness. The model is applied to professional referee daily wellness, training, and recovery data collected across two Major League Soccer seasons.

Unraveling the Nexuses of Tourism, Terrorism, and Well-Being: Evidence from Pakistan

2020 ◽  
Vol 44 (6) ◽  
pp. 974-1001
Author(s):  
Asif Khan ◽  
Sughra Bibi ◽  
Jiaying Lyu ◽  
Asad Raza ◽  
Hizar Hayat ◽  
...  
Keyword(s):  
Developing Economies ◽  
Positive Association ◽  
Well Being ◽  
Negative Effects ◽  
Significant Positive Association ◽  
Equal Distribution ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Negative Effect ◽  
Lag Model

This study attempts to highlight the role of tourism and terrorism in shaping well-being measures and, to address the mechanism of how tourism and well-being measures can lead to terrorism in developing economies. Thus, it examines the causal relationship between well-being measures (overall well-being, social well-being, health well-being, and material well-being), tourism, terrorism, and inequality by focusing on Pakistan as a case study. We applied several time series techniques and procedures that include the bounds test, autoregressive distributed lag model mechanism, and Granger causality to analyze the relationships between the aforementioned variables. The findings suggest significant positive relationships between tourism and well-being measures. However, terrorism has a significant negative effect on well-being measures. Inequalities in the distributions of income and facilities have substantial negative effects on well-being measures and tourism; besides, it shows a significant positive association with terrorism. This study indicates that through effective tourism planning, policy makers can improve well-being measures, hence, leading to a reduction in terrorism. However, along with progress in well-being dimensions, policies, and long-term planning should be developed to ensure the equal distribution of income and facilities.

scholarly journals The Determinants of Tourist Expenditure Per Capita in Thailand: Potential Implications for Sustainable Tourism

2021 ◽  
Vol 13 (12) ◽  
pp. 6550
Author(s):  
Wanvilai Chulaphan ◽  
Jorge Fidel Barahona
Keyword(s):  
Natural Resources ◽  
Sustainable Tourism ◽  
Least Square ◽  
Mass Tourism ◽  
Tourist Destinations ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Lag Model ◽  
Per Capita

Tourism authorities in Thailand have consistently pursued profit-seeking mass tourism, resulting in the detriment of the natural resources in major tourist destinations. In response, sustainable tourism projects centered on preserving the environment have been established but neglect the financial needs of tour operators. The objective of this study was to investigate the determinants of tourist expenditure per capita in Thailand using a dataset consisting of 31 countries from 2010 to 2017. The analysis was based on an autoregressive distributed lag model (ARDL) and used a panel estimated generalized least square (ELGS). Generating such knowledge is essential for tourist authorities to develop profitable and sustainable tourism projects in tourist destinations whose natural resources have been affected by profit-seeking tourism. The tourism expenditure per capita is positively affected by word of mouth, income, and the rising prices in other major tourist destinations in Asia. However, it was negatively affected by relative levels of price and corruption. Sustainable tourism projects can be used to develop activities that will help distinguish Thailand from other tourism destinations in Asia. However, in implementing these sustainable tourism initiatives, the mark-up should be minimized to keep tourist prices in Thailand competitive.

scholarly journals Examining Eurozone Crisis and Unemployment Relationship Using Var Models

2013 ◽  
Vol 60 (2) ◽  
pp. 85-92
Author(s):  
Dimitrios Dapontas
Keyword(s):  
Government Spending ◽  
Eurozone Crisis ◽  
Var Models ◽  
Monthly Data ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Negative Effect ◽  
Lag Model ◽  
The Relationship

Abstract This work examines the relationship between the Eurozone crisis and unemployment. We deploy distributed lag model using two binary (Crisis and crisis in another country) along with three (Government spending to GDP, Labor freedom, and urbanization) variables working as a long term factors applied on a six countries set (Cyprus, Greece, Ireland, Italy, Portugal and Spain respectively) spanning the period January1995-May 2012 in order to explain the unemployment change using VAR models on monthly data in contrast to longer frequency analyses. This innovative approach is determining the optimal lag length between unemployment and crises determining the time between turbulence and its effect to unemployment. The results show that optimal lag varies among two and eight months. Two variables seem to have negative effect on unemployment (Government spending to GDP, labor freedom) and one positive (urbanization).

Asymmetric Impact of Institutional Quality on Environmental Degradation: Evidence of the Environmental Kuznets Curve

2021 ◽  
Vol 13 (22) ◽  
pp. 12507
Author(s):  
Farrah Dina Abd Razak ◽  
Norlin Khalid ◽  
Mohd Helmi Ali
Keyword(s):  
Financial Development ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Energy Use ◽  
Institutional Quality ◽  
Kuznets Curve ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Lag Model ◽  
New Guidelines

This paper aims to discover the asymmetry impacts and co-integration between gross domestic product, financial development, energy use and environmental degradation by featuring institutional quality covering the Malaysia economy during the period from 1984 until 2017 using a nonlinear auto-regressive distributed lag model. The results confirm the existence of the Environmental Kuznets Curve hypothesis for both linear and nonlinear analyses, thus verifying the relevance of symmetric and asymmetric EKC hypotheses for Malaysia. Further, this study verifies the attributes of financial development and institutional quality that mitigates the concern on CO2 emissions, but contradicting results were produced on energy use. The implication of this finding provides new guidelines for Malaysia authorities to consider the asymmetries in formulating environment-related policies to maintain environmental quality and achieve their sustainable development goals.

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