scholarly journals R&D, innovation and productivity relationships: Evidence from threshold panel model

2021 ◽  
Vol 5 (3) ◽  
pp. 113-126
Author(s):  
Nesrine Hammar ◽  
Yacine Belarbi
Keyword(s):  
Panel Model

The bidirectional association between Internet addiction and depression: a large-sample longitudinal study among Chinese university students (Preprint)

2020 ◽  
Author(s):  
Wan-Jun Guo ◽  
Xia Yang ◽  
Yu-Jie Tao ◽  
Ya-Jing Meng ◽  
Hui-Yao Wang ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Internet Addiction ◽  
Causal Effects ◽  
Causal Relationships ◽  
Depression Severity ◽  
Large Sample ◽  
Panel Model ◽  
Bidirectional Association ◽  
Predictive Effect

BACKGROUND Evidence indicates that Internet addiction (IA) is associated with depression, but longitudinal studies have rarely been reported, and no studies have yet investigated potential common vulnerability or a possible specific causal relationship between these disorders. OBJECTIVE To overcome these gaps, the present 12-month longitudinal study based on a large-sample employed a cross-lagged panel model (CLPM) approach to investigate the potential common vulnerability and specific cross-causal relationships between IA and CSD (or depression). METHODS IA and clinically-significant depression (CSD) among 12 043 undergraduates were surveyed at baseline (as freshmen) and in follow-up after 12 months (as sophomores). Application of CLPM revealed two well-fitted design between IA and CSD, and between severities of IA and depression, adjusting for demographics. RESULTS Rates of baseline IA and CSD were 5.47% and 3.85%, respectively; increasing to 9.47% and 5.58%, respectively at follow-up. Among those with baseline IA and CSD, 44.61% and 34.48% remained stable at the time of the follow-up survey, respectively. Rates of new-incidences of IA and CSD over 12 months were 7.43% and 4.47%, respectively. Application of a cross-lagged panel model approach (CLPM, a discrete time structural equation model used primarily to assess causal relationships in real-world settings) revealed two well-fitted design between IA and CSD, and between severities of IA and depression, adjusting for demographics. Models revealed that baseline CSD (or depression severity) had a significant net-predictive effect on follow-up IA (or IA severity), and baseline IA (or IA severity) had a significant net-predictive effect on follow-up CSD (or depression severity). CONCLUSIONS These correlational patterns using a CLPM indicate that both common vulnerability and bidirectional specific cross-causal effects between them may contribute to the association between IA and depression. As the path coefficients of the net-cross-predictive effects were significantly smaller than those of baseline to follow-up cross-section associations, vulnerability may play a more significant role than bidirectional-causal effects. CLINICALTRIAL Ethics Committee of West China Hospital, Sichuan University (NO. 2016-171)

A binary choice model with partial observability for panel data

2020 ◽  
Vol 15 (4) ◽  
pp. 315-322
Author(s):  
Ekaterina Batalova ◽  
Kirill Furmanov ◽  
Ekaterina Shelkova
Keyword(s):  
Job Search ◽  
Latent Class ◽  
Choice Model ◽  
Maximum Likelihood Estimates ◽  
Binary Choice ◽  
Panel Model ◽  
Binary Response Variable ◽  
Monitoring Survey ◽  
Binary Choice Model ◽  
Time Invariant

We consider a panel model with a binary response variable that is a product of two unobservable factors, each determined by a separate binary choice equation. One of these factors is assumed to be time-invariant and may be interpreted as a latent class indicator. A simulation study shows that maximum likelihood estimates from even the shortest panel are much more reliable than those obtained from a cross-section. As an illustrative example, the model is applied to Russian Longitudinal Monitoring Survey data to estimate a proportion of the non-employed population who are participating in job search.

Assessing the impact of energy-saving R&D on China’s energy consumption: Evidence from dynamic spatial panel model

Energy ◽  
2021 ◽  
Vol 218 ◽  
pp. 119443
Author(s):  
Junbing Huang ◽  
Xiang Chen ◽  
Xiaochen Cai ◽  
Hong Zou
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Spatial Panel ◽  
Panel Model ◽  
Spatial Panel Model ◽  
The Impact

Relations between child self-control, maternal relational frustration, and teacher–child conflict: a longitudinal study with children from dual-earner families

2020 ◽  
pp. 1-14
Author(s):  
Tiago Ferreira ◽  
Joana Cadima ◽  
Marisa Matias ◽  
Teresa Leal ◽  
Paula Mena Matos
Keyword(s):  
Longitudinal Study ◽  
Family Conflict ◽  
Self Control ◽  
Work Family Conflict ◽  
Reciprocal Relations ◽  
Panel Model ◽  
Dual Earner ◽  
Work Family ◽  
Over Time

Abstract This longitudinal study follows children from dual-earner families in 4 time-points, covering the early childhood period. We examined the influence of work–family conflict (WFC) on maternal relational frustration (RF) towards the child, and investigated the reciprocal relations among maternal RF, children's self-control (SC), and teacher–child (TC) conflict over time. Participants were 214 children (97 girls; M age = 4.00 years), their mothers, and teachers. Mothers reported their own WFC and RF, whereas teachers reported child SC and T-C conflict. Results from a cross-lagged panel model indicated the experience of WFC positively predicted maternal RF. Maternal RF and T-C conflict were negatively related to the child later SC abilities. Conversely, children who displayed SC difficulties were more likely to experience later maternal RF and T-C conflict. There was evidence supporting the bidirectional effects of child SC and T-C conflict across time. Moreover, maternal RF and T-C conflict were indirectly linked, via child SC. The findings are consistent with a transactional view of development, stressing the importance of contextual factors to the quality of caregiving relationships and highlighting the complex and reciprocal relations between child regulatory competence and the quality of relationships with distinct caregivers.

scholarly journals Regional differences in the capitalisation of first and second pillar payments of the CAP into land rental prices

2020 ◽  
Author(s):  
Klaus Salhofer ◽  
Paul Feichtinger
Keyword(s):  
Agricultural Policy ◽  
Regional Differences ◽  
Dynamic Panel ◽  
Accounting Data ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Land Rental ◽  
Part Time ◽  
High Yields ◽  
Large Farms

Abstract Nearly 80 per cent of Common Agricultural Policy (CAP) expenditures are spent on three different measures: first pillar payments (FPPs), agri-environmental payments (AEPs) and less favoured area payments (LFAPs). Based on a dynamic panel model and farm accounting data for Bavaria, we find that, on average, 30 per cent of FPPs, 40–50 per cent of LFAPs, but no relevant share of AEPs are capitalised into land rental prices. The capitalisation ratio varies considerably across regions. Above average capitalisation ratios for FPPs are observed in more favourable areas with high yields, a low grassland share and large farms. The same is true for LFAPs for areas with high yields, large farms and a greater share of part-time farmers.

The rotating Presidency of the Council of the EU – Still an agenda-setter?

2020 ◽  
Vol 21 (3) ◽  
pp. 497-518
Author(s):  
Austė Vaznonytė
Keyword(s):  
Institutional Changes ◽  
The European Union ◽  
Issue Salience ◽  
Political Factors ◽  
Agenda Setter ◽  
Panel Model ◽  
The Government ◽  
Council Presidency ◽  
Over Time ◽  
The Eu

What role does the rotating Council Presidency maintain a decade after Lisbon? This article argues that, regardless of institutional changes, the rotating Presidency still shapes the Council agenda to a large extent. Based on an original hand-coded dataset of rotating Presidency programmes between 1997 and 2017, I show that some policies are ‘stickier’ on the Council agenda, while the others exhibit significant changes in salience over time. Since the magnitude of these shifts varies from Presidency to Presidency, the analysis focuses on domestic political factors and the country positioning vis-à-vis the European Union to determine their relationship with agenda volatility. By means of a panel model, the examination demonstrates that the government issue salience can best explain the levels of issue salience in the Presidency programmes.

scholarly journals Applying Google Trends’ Search Popularity Indicator to Professional Cycling

2021 ◽  
pp. 152700252098832
Author(s):  
Alexander Genoe ◽  
Ronald Rousseau ◽  
Sandra Rousseau
Keyword(s):  
Fixed Effects ◽  
Global Scale ◽  
Google Trends ◽  
Panel Model ◽  
Tour De France ◽  
Country Preference ◽  
The Impact ◽  
Professional Cycling

This study uses Google Trends data to analyze the impact of the main events in the Tour de France 2019 on cyclists’ online popularity in 12 countries and at a global scale. A fixed effects panel model revealed a strong own-country preference. While online popularity increased with the duration of the Tour, race incidents strongly influenced online popularity. Besides the yellow jersey, winning a stage was more important than wearing the green, white or polka dot jersey for most regions. Still, on a global scale, young cyclists’ online popularity benefited more from wearing the white jersey than from winning a Tour stage.

scholarly journals Influence of uric acid on the correlation between waist circumference and triglyceride glucose index: an analysis from CHARLS

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Jia Zheng ◽  
Min Jiang ◽  
Yanxia Xie
Keyword(s):  
Uric Acid ◽  
Waist Circumference ◽  
Mediation Effects ◽  
Panel Model ◽  
Triglyceride Glucose Index ◽  
Study Population ◽  
Relationship Of ◽  
The Relationship ◽  
Longitudinal Relationships

Abstract Background Waist circumference (WC) and uric acid (UA) are significantly related. Still, their temporal sequence and how the sequence works on future risk of triglyceride glucose (TyG) are unknown, especially in the Chinese population. Methods Cross-lagged panel model was used to analyze the reciprocal, longitudinal relationships among a set of interrelated variables. The mediation model was constructed to test the effect of the relationship between WC and UA on TyG. Results A total of 5727 subjects were enrolled in our study population, of which 53.5% were women, and the mean age was 59.0 (standard deviation, 8.62) years. After adjusting for traditional confounding factors, the results showed that a higher level of baseline WC was significantly associated with a higher level of follow-up UA (β = 0.003, P = 0.031) and follow-up TyG (β = 0.003, P < 0.001);. Simultaneously, there was no statistical association between the level of baseline UA and the level of follow-up WC (β = − 0.009, P = 0.951). The mediation effects of UA on WC-TyG were estimated to be 18.1% in adults, and 36.2% in women. Conclusions The current study demonstrated that higher baseline level of WC probably preceded UA’ level in general population. In addition, UA mediated the relationship of WC to TyG, especially in females. And the possible mechanism would require further clarification.

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