scholarly journals Analysis of Difference in Household Debt across Regions of Thailand

2021 ◽  
Vol 13 (21) ◽  
pp. 12253
Author(s):  
Paravee Maneejuk ◽  
Sopanid Teerachai ◽  
Atinuch Ratchakit ◽  
Woraphon Yamaka
Keyword(s):  
Panel Data ◽  
Statistical Significance ◽  
Household Debt ◽  
Significance Level ◽  
Access To Credit ◽  
Debt Burden ◽  
Quantile Regression Model ◽  
Panel Quantile Regression ◽  
Unequal Access ◽  
Different Levels

This study analyzed the determinants of household debt in Thailand at both the regional and the national levels using the panel data of 76 provinces over the years 2009–2017. The Panel Quantile Regression Model was employed to enable the analysis of the formation of household debt ranging from low to high levels. The findings indicate that household indebtedness in different regions has been shaped by a variety of factors, and that households in the same region with different levels of debt burden would experience different impacts or outcomes. We also tested the convergence of household debt, which produced the thought-provoking finding that household debt convergence failed to occur at both the national and the regional levels, while household debt divergence was found instead at the statistical significance level in some regions. The growing debt divergence phenomenon might be an outcome indicator of the unequal access to credit sources among different households in Thai society.

Asymmetric Dynamics between Informed Trading Activity and Credit Default Swaps

2018 ◽  
Keyword(s):  
Investment Decisions ◽  
Informed Trading ◽  
Economic Conditions ◽  
Positive Relation ◽  
Trading Activity ◽  
Quantile Regression Model ◽  
Panel Quantile Regression ◽  
Credit Default ◽  
The Relationship ◽  
Different Levels

This article investigates the relationship between informed trading activity and CDS spreads; contrary to prior research, the results show that level of information-based trading of stocks should be a key determinant of CDS spreads. Using the panel quantile regression model, this article finds that the effects of informed trading activity on CDS spreads are asymmetrical across firms with different levels of credit conditions. Further, these asymmetric dynamics behave in opposite directions across different economic conditions. In particular, when economic conditions are good, a negative (positive) relation between informed trading activity and CDS spreads is documented for firms with bad (good) credit conditions. When economic conditions are unfavorable, catastrophic news dominates investment decisions, and a reverse asymmetrical dynamic between the two variables is then observed.

American Life in Debt

Divested ◽  
2020 ◽  
pp. 111-136
Author(s):  
Ken-Hou Lin ◽  
Megan Tobias Neely
Keyword(s):  
Labor Markets ◽  
Financial Burden ◽  
Investment Strategy ◽  
Economic Hardship ◽  
Household Debt ◽  
Access To Credit ◽  
Primary Driver ◽  
Unequal Access ◽  
Families First ◽  
Over Time

This chapter examines how financialization exacerbates inequality through the expansion of household debt. It identifies three primary avenues through which household debt has become a primary driver of inequality among families. First, families have unequal access to credit. Those who need it the most are the least likely to have access to credit; when they do, these families face the heaviest financial burden for taking out credit. Second, those who are well-off have abundant access to cheap credit and use that credit as a part of a household investment strategy that bolsters their wealth. Third, though policymakers have long championed credit as a solution to inequalities in wages and in labor markets, the expansion of credit is inadequate for addressing economic hardship. Credit can provide relief to a family in the short term, but it deepens economic divisions over time.

scholarly journals Effects of Economic Policy Uncertainty on Manufacturing Structural Upgrading: Evidence from China

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Renjing Hu ◽  
Yanyang Yan
Keyword(s):  
Economic Policy ◽  
Panel Data ◽  
Manufacturing Industry ◽  
Policy Uncertainty ◽  
Firm Level ◽  
Economic Policy Uncertainty ◽  
Quantile Regression Model ◽  
Panel Quantile Regression ◽  
Advanced Stages ◽  
China’S Growth

Manufacturing is one of the drivers of China’s growth, realizing structural upgrading is vital to achieve high-quality economic development during periods of economic policy uncertainty. Based on firm-level and province-level panel data from 1997 to 2018, this paper used a fixed effect panel data model and panel quantile regression model to investigate the effect of economic policy uncertainty on structural upgrading in manufacturing. The findings indicate that the effect of economic policy uncertainty on structural upgrading in manufacturing is significantly positive and great in regions at advanced stages of manufacturing structure. The discussion about the results suggests that the mechanism of economic policy uncertainty affecting structural upgrading in manufacturing operates through pushing the manufacturing industry to implement service transformation strategies along with vertical integration.

scholarly journals Does daily wear time of Twin Block reliably predict its efficiency of class II treatment?

2021 ◽  
Author(s):  
Michal Sarul ◽  
Marek Nahajowski ◽  
Grzegorz Gawin ◽  
Joanna Antoszewska-Smith
Keyword(s):  
Statistical Significance ◽  
Characteristic Curve ◽  
Class Ii ◽  
Class I ◽  
Rank Test ◽  
Treatment Efficiency ◽  
Significance Level ◽  
Twin Block ◽  
Wear Time ◽  
Class Ii Treatment

Abstract Purpose The objective of this study was to investigate how daily wear time (DWT) influences class II malocclusion treatment efficiency. Materials and methods The study group consisted of 55 patients (mean age 10.4 years) diagnosed with a class II/1 malocclusion. Twin block appliances, with built-in Theramon® microsensors (MC Technology, Hargelsberg, Austria) to monitor patients’ cooperation (daily wear time assessment), were used for treatment. Cephalograms were taken and the following initial and final measurements were compared: Co-Gn, Co-Go, Co-Olp, Pg-Olp, WITS, SNA, SNB, ANB, Co-Go-Me, overjet, molar and canine relationships. The Shapiro–Wilk test, Wilcoxon signed-rank test, Student’s t-test, Levene’s test, Mann–Whitney U test, Kruskal–Wallis test, χ2 test, and Spearman’s rank correlation coefficient with p < 0.05 set as the statistical significance level were used to determine the correlation of the outcomes with DWT; a ROC (receiver operating characteristic) curve was calculated to illustrate diagnostic ability of the binary classifier system. Results DWT was very highly positively correlated with change of the Pg-Olp parameter and highly with an improvement in the ANB, SNA, and SNB angles, an increase in the WITS parameter and an increase in Co-Gn distance. DWTs < 7.5 h correlated with significantly less improvement of the investigated variables. However, DWT > 7.5 h did not significantly correlate with the improvement of the overjet and most of the linear parameters in the mandible. The ROC curve and its AUC (area under curve) allowed the determination of a DWT of 7 h and 48 min to be capable of establishing a class I relationship with 83% probability. Conclusions Class II treatment efficiency was influenced by DWT; an 8 h threshold value had an 83% probability of establishing a class I relationship.

scholarly journals Association of placental chorangiosis with pregnancy complication and prenatal outcome: a case-control study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Homeira Vafaei ◽  
Zinat Karimi ◽  
Mojgan Akbarzadeh-Jahromi ◽  
Fatemeh Asadian
Keyword(s):  
Case Control Study ◽  
Gestational Hypertension ◽  
Statistical Significance ◽  
Placental Tissue ◽  
Case Control ◽  
Low Grade ◽  
Amniotic Fluid Index ◽  
Significance Level ◽  
Adverse Pregnancy ◽  
Control Study

Abstract Background Chorangiosis is a vascular change involving the terminal chorionic villi in the placenta. It results from longstanding, low-grade hypoxia in the placental tissue, and is associated with such conditions as intrauterine growth restriction (IUGR), diabetes, and gestational hypertension in pregnancy. Chorangiosis rarely occurs in normal pregnancies. However, its prevalence is 5–7% of all placentas from infants admitted to newborn intensive care units. The present study was aimed at determining the association of chorangiosis with pregnancy complications and perinatal outcomes. Methods In this case-control study, 308 chorangiosis cases were compared with 308 controls (with other diagnoses in pathology) in terms of maternal, placental, prenatal, and neonatal characteristics derived from the medical records of participants retrospectively. R and SPSS version 22 software tools were used, and the statistical significance level was considered 0.05 for all the tests. Results Preeclampsia, diabetes mellitus, maternal hemoglobin, maternal hematocrit, C/S, oligohydramnios, fetal anomaly, dead neonates, NICU admissions were significantly higher in the chorangiosis group OR = 1.6, 3.98, 1.68, 1.92, 2.1, 4.47, 4.22, 2.9, 2.46, respectively (p-value< 0.05 for all). Amniotic fluid index, birth weight, cord PH amount, 1st, and 5th Apgar score was lower in the chorangiosis group OR = 0.31, 1, 0.097, 0.83, 0.85, respectively (p-value< 0.05 for all). Moreover, fundal placenta, retro placental hemorrhage, perivillous fibrin deposition, calcification, and acute chorioamnionitis were higher in the chorangiosis group OR = 2.1, 11.8, 19.96, 4.05, and 6.38 respectively, (p-value< 0.05). There was a high agreement between the two pathologists, and the power of the study was estimated at 99%. Conclusion Although chorangiosis is an uncommon condition, it is associated with a higher incidence of perinatal and neonatal morbidity and mortality. Therefore, it should be considered an important clinical sign of adverse pregnancy outcomes and should be reported in the pathology evaluation.

scholarly journals THU0652-HPR ONLINE EDUCATION YIELDS SIGNIFICANT GAINS IN RHEUMATOLOGISTS’ KNOWLEDGE OF BIOLOGICS AND BIOSIMILARS BUT A SUBSTANTIAL GAP REMAINS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 570.2-571
Author(s):  
A. Stan ◽  
E. Bell ◽  
P. Schoonheim ◽  
E. Mysler
Keyword(s):  
Online Education ◽  
Statistical Significance ◽  
Treatment Options ◽  
Educational Activity ◽  
Round Table Discussion ◽  
Knowledge Gain ◽  
Regulatory Requirements ◽  
Research Support ◽  
Significance Level ◽  
Post Assessment

Background:Biologics are complex proteins which have revolutionized the treatment of many serious diseases. Due to their complexity and manufacturing which involves living organisms, it is not possible to create identical versions of reference biologics, but it is possible to create biosimilar drugs. Biosimilars have the potential to yield high cost savings and expand treatment options to meet the growing demand for biological therapies.Objectives:This study assessed whether the online CME-accredited round-table-discussion titled “Understanding Biologics: from protein to clinical practice” improved physicians’ understanding of the inherent variability of biologics and what similarity means in the context of biologics as well as the analytical assessment of quality that applies to both biologics and biosimilars.Methods:Rheumatologists participated in an online CME activity (www.medscape.org/viewarticle/900121) consisting of a 30-minute video discussion between 4 experts with accompanying slides. Educational effect was assessed using a 4-question repeated pairs, pre-/post-assessment. A chi-square test was used to determine if a statistically significant improvement (P<.05 significance level) existed in the number of pre-/post-test correct responses. Cramer’s V was used to estimate the level of impact of the education. The CME activity launched on 22 Aug 2018, and the data were collected through 9 Oct 2018.Results:A total of 622 rheumatologists participated in the educational activity, and 87 completed the pre- and postassessment. Overall the activity had a signficiant impact (P<.001) on rheumatologists’ understanding of the inherent variability of biologics and the regulatory requirements for approval of a biosimilar. The Cramer’s V value of 0.186 indicates a considerable effect of the education. The average perecentage of correct responses rose from 33% pre-activity to 51% post-activity. A linked learning assessment (individual responses matched pre- and post-education) showed that 25% of learners improved their knowledge and 26% reinforced their knowledge. The change in percentage of correct responses from pre- to post-assessment achieved statistical significance (P<.05) in 2 of the 3 questions presented: (i) understanding the type of studies needed to demonstrate comparability of a biosimilar to an originator (11% at baseline; 45% post activity), (ii) understanding the type of variability considered acceptable for a biologic (46% at baseline; 63% post activity). However, no knowledge gain was observed regarding basic analytic attributes evaluated to ensure batch to batch consistency (37% at baseline; 38% post activity). Almost 45% of rheumatologists gained confidence in their ability to describe the regulatory requirements for approval of a biosimilar.Conclusion:This online CME activity significantly improved rheumatologists’ understanding of the inherent variability of complex biologic medicines and the role of analytical studies in the regulatory approval of biosimilars. However, there is room for further improving physicians’ knowledge, especially of basic analytics of biologics and biosimilars.Acknowledgments:This CME-certified activity was supported by independent funding from Sandoz.Disclosure of Interests:Adriana Stan Grant/research support from: The CME-certified activity was supported by anindependent educational grant from Sandoz., Elaine Bell: None declared, Peter Schoonheim Grant/research support from: This CME-certified activity was supported by independent funding from Sandoz., Eduardo Mysler Grant/research support from: AbbVie, Lilly, Pfizer, Roche, BMS, Sandoz, Amgen, and Janssen., Consultant of: AbbVie, Lilly, Pfizer, Roche, BMS, Sandoz, Amgen, and Janssen.

scholarly journals Association of ADRB1 gene polymorphism with dilated cardiomyopathy

2021 ◽  
Vol 10 (Supplement_1) ◽  
Author(s):  
A Chernova ◽  
SY Nikulina ◽  
OO Kuznecova
Keyword(s):  
Statistical Significance ◽  
Rare Allele ◽  
Public Institution ◽  
Control Group ◽  
Significance Level ◽  
Funding Sources ◽  
Idiopathic Cardiomyopathy ◽  
Homozygous Genotype ◽  
Number Of Patients ◽  
Medical University

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University Aim. To evaluate the Association of rs1801252 polymorphism of the ADRB1 gene with dilated idiopathic cardiomyopathy (DCMP) and myocardial dilation of ischemic origin (DMI). Subjects and methods. The study included patients with ICMP and MD IG in the number of 221 people. The average age of the subjects was in the range of 55.30 ± 9.69 years. We divided the patients into 2 groups: the first – patients diagnosed with idiopathic dilatation cardiomyopathy and the second-patients with myocardial dilatation of ichemic origin. The number of patients in the first group was 111, including 99 men (89.2%) and 12 women (10.8%). The average age of patients in this group is 51.73 ± 9.74 years, in men 51.00 ± 8.96 years, in women 57.75 ± 3.71 years. The second group included patients with myocardial dilatation of ischemic origin. Their number is 110 people, including 100 men (91.5%) and 10 women (8.5%). The average age of respondents is 58.68 ± 8.38 years, for men 58.29 ± 8.46 years, for women 62.90 ± 6.29 years. The control group included patients who had no manifestations of cardiovascular diseases. Their number is 121 people (average age 53.6 ± 4.8 years). The patients underwent laboratory and instrumental studies, as well as molecular and genetic studies of the A145G polymorphism of the ADRB1 gene (rs1801252 ). All patients underwent coronary angiography. Based on the anamnesis data and instrumental studies, those patients who could be said to have no risk factors for the development of dilatation of the heart cavities were identified in the first group. And those patients who were reliably diagnosed with CHD were in the second group, that is, dilatation of the heart cavities is due to a previous myocardial infarction, existing angina pectoris. Results. In the group with DCMP 70.3% of patients were carriers of the common homozygous A145A genotype, the heterozygous A145G genotype-27.0%, and the rare homozygous G145G genotype-2.7%. In the control group 71.9% of patients were identified as carriers of a homozygous genotype by a common allele, and 25.3% were carriers heterozygous genotype, and homozygous genotype for a rare allele – 2.7%. Statistical analysis showed no achievement of statistical significance level across any of the genotypes. In the group with DM IG, there was no association with the rs1801252 polymorphism of the ADRB1 gene. Conclusion. A statistically significant association of rs1801252 of the ADRB1 gene with DCMP was not found. The association of DM IG c rs1801252 could not be confirmed.

Identification of excessive Russia's household debt burden

2021 ◽  
Vol 21 (1) ◽  
pp. 189-207
Author(s):  
Galina Gospodarchuk ◽  
Ekaterina Suchkova
Keyword(s):  
Financial Stability ◽  
Evaluation Method ◽  
Gap Analysis ◽  
Stability Index ◽  
Threshold Value ◽  
Federal State ◽  
Household Debt ◽  
Calculation Algorithm ◽  
Debt Burden ◽  
Household Sector

Modern trends characterized by increasing Russian household debt against the stagnation of real income of the population demonstrate the importance of analytical tools within the regulator. It helps identify the level of debt burden in household sector and to develop an analytical toolkit that makes it possible to reveal debt burden. The paper uses the methods of statistic and graphical analysis as well as comparative and GAP-analysis. The empirical analysis is based on data of the Federal State Statics Service and Bank of Russia over a period of 1.01.2007–1.01.2019. The study develops the methodology to create an indicator for household sector debt burden both on macro- and micro-level. Based on the methodology, we develop a new financial stability index of household sector and its calculation algorithm. We offer the evaluation method of threshold value of this index and determine its quantitative value. The findings concerning debt burden level in Russia’s household sector drawn on the basis of this indicator confirm its suitability for using as an additional diagnostic tool of Russia’s financial stability.

Modelling of Atrazine Loss in Surface Runoff from Agricultural Watershed

2003 ◽  
Vol 38 (4) ◽  
pp. 585-606 ◽  
Author(s):  
Bing Chen ◽  
Yifan Li ◽  
Guohe Huang ◽  
John Struger ◽  
Baiyu Zhang ◽  
...  
Keyword(s):  
Environmental Sustainability ◽  
Surface Runoff ◽  
Statistical Significance ◽  
Water Quality Management ◽  
Soil Layer ◽  
Agricultural Watershed ◽  
Integrated Modelling ◽  
Distributed Hydrological Model ◽  
Adsorption Model ◽  
Significance Level

Abstract There have been growing concerns over the negative effect of pesticide usage on human health and environmental sustainability. It has been found out that atrazine, a widely used herbicide, threatens ecosystems. Its residues after application can be discharged into water bodies, and thus contaminate surface water and pose risks to public health. An integrated modelling system was developed to estimate atrazine losses through surface runoff. This model includes a distributed hydrological model, a pesticide adsorption model, relational databases, and a geographic information system. The proposed model can simulate atrazine losses due to runoff through the consideration of emission, degradation, adsorption, and movement of atrazine in dissolved and adsorbed phases at the top soil layer. A case study was carried out in the Auglaize-Blanchard Watershed. A comparison between observed and predicted data during May 1997 to April 1998 was conducted. The correlation coefficients are over 0.9 and the statistical significance level was approximately 5%, indicating a reasonable prediction accuracy. The modelling results provide useful decision support for water quality management.

scholarly journals Quantile Regression for Panel Data: An Empirical Approach for Knowledge Spillovers Endogeneity

2017 ◽  
Vol 9 (7) ◽  
pp. 106 ◽  
Author(s):  
Luigi Aldieri ◽  
Concetto Paolo Vinci
Keyword(s):  
Theoretical Model ◽  
Panel Data ◽  
Quantile Regression ◽  
Knowledge Spillovers ◽  
Spillover Effect ◽  
Technology Spillovers ◽  
Significant Heterogeneity ◽  
The Core ◽  
Endogenous Regressors ◽  
Different Levels

The aim of this paper is to investigate the extent to which knowledge spillovers effects are sensitive to different levels of innovation. We develop a theoretical model in which the core of spillover effect is showed and then we implement the empirical model to test for the results. In particular, we run the quantile regression for panel data estimator (Baker, Powell, & Smith, 2016), to correct the bias stemming from the endogenous regressors in a panel data sample. The findings identify a significant heterogeneity of technology spillovers across quantiles: the highest value of spillovers is observed at the lowest quartile of innovation distribution. The results might be interpreted to provide some useful implications for industrial policy strategy.

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