How macroeconomic indicators influence gold price management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liya A ◽  
Qian Qin ◽  
Hafiz Waqas Kamran ◽  
Anusara Sawangchai ◽  
Worakamol Wisetsri ◽  
...  
Keyword(s):  
United States ◽  
Secondary Data ◽  
The United States ◽  
Research Paper ◽  
Gold Price ◽  
Least Square ◽  
Data Set ◽  
Content Type ◽  
Macroeconomic Indicators ◽  
The Impact

PurposeThis study purposes to measure the influencing relations between macroeconomic indicators and the prices of gold. Further study measures several factors with the gold price in the context of the United States.Design/methodology/approachThe secondary data are collected to measure relationship and fluctuation of gold prices the data collected from the website world development indicators (WDI) for the period of 31 years 1990–2019. This paper uses different econometric analysis such as analytical unit root test for stationary of data, descriptive statistical analysis for description of data, correlation coefficient test for measuring the inter correlation, and ordinary least square regression analysis for determine the impact of dependent and independents variables. In this research paper, gross domestic product (GDP), inflation rate (IR), unemployment rate (UR), real interest rate (RIR), gross national product (GNP), standard trade value (STV) are included in macroeconomic indicators and consider as independent. The gold prices are considered as dependent variable.FindingsThis study's overall results show an important and optimistic association between GDP, IR and STV with the gold price. Moreover, the RIR shows negative and does not show significant relation with the gold prices.Originality/valueSince several economic crises were included during the data selection studied in this research paper, data error may be present, resulting in the instability of the overall data. However, the study still hopes to find the guiding role of these macro gold price factors in the price of gold from the limited data set. The basic scope of research is that research is limited in the United States.

Does the second wave of COVID-19 undermine corporate immunity? International evidence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huy Viet Hoang ◽  
Cuong Nguyen ◽  
Khanh Hoang
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Fixed Effects ◽  
Management Strategies ◽  
The United States ◽  
Least Square ◽  
Content Type ◽  
The Impact ◽  
Second Wave ◽  
Practical Implications

PurposeThis study compares the impact of the COVID-19 pandemic on stock returns in the first two waves of infection across selected markets, given built-in corporate immunity before the global outbreak.Design/methodology/approachThe data are collected from listed firms in five markets that have experienced the second wave of COVID-19 contagion, namely the United States (US), Australia, China, Hong Kong and South Korea. The period of investigation in this study ranges from January 24 to August 28, 2020 to cover the first two COVID-19 waves in selected markets. The study estimates the research model by employing the ordinary least square method with fixed effects to control for the heterogeneity that may confound the empirical outcomes.FindingsThe analysis reveals that firms with larger size and more cash reserves before the COVID-19 outbreak have better stock performance under the first wave; however, these advantages impede stock resilience during the second wave. Corporate governance practices significantly influence stock returns only in the first wave as their effects fade when the second wave emerges. The results also suggest that in economies with greater power distance, although stock price depreciation was milder in the first wave, it is more intense when new cases again surge after the first wave was contained.Practical implicationsThis paper provides practical implications for corporate managers, policymakers and governments concerning crisis management strategies for COVID-19 and future pandemics.Originality/valueThis study is the first to evaluate built-in corporate immunity before the COVID-19 shock under successive contagious waves. Besides, this study accentuates the importance of cultural understanding in weathering the ongoing pandemic across different markets.

Income and healthcare financing system in the United States: an asymmetric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mehdi Barati ◽  
Hadiseh Fariditavana
Keyword(s):  
The United States ◽  
Set Covering ◽  
Healthcare Financing ◽  
Financing System ◽  
Data Set ◽  
Content Type ◽  
Funding Sources ◽  
Distributed Lag ◽  
The Impact ◽  
The Relationship

PurposeThe purpose of this study is to first assess how the US healthcare financing system is influenced by income variation. Then, it examines whether or not the impact of income variation is asymmetric.Design/methodology/approachFor the analyses of this paper, the autoregressive distributed lag (ARDL) model is implemented to a data set covering the period from 1960 to 2018.FindingsThe results provide evidence that major funding sources of aggregate healthcare expenditure (HCE) respond differently to changes in income. The results also imply that the effect of income is not always symmetric.Originality/valueMany studies have attempted to identify the relationship between income and HCE. A common feature of past studies is that they have only focused on aggregate HCE, while one might be interested in knowing how major funders of aggregate HCE would be affected by changes in income. Another common feature of past studies is that they have assumed that the relationship between income and HCE is symmetric.

Can financial inclusion reduce the presence of corruption? Evidence from selected countries in Africa

2020 ◽  
Vol 47 (11) ◽  
pp. 1345-1362
Author(s):  
Folorunsho M. Ajide
Keyword(s):  
Random Effect ◽  
Secondary Data ◽  
Threshold Level ◽  
Financial Inclusion ◽  
Least Square ◽  
African Countries ◽  
Content Type ◽  
The Impact ◽  
Control Of Corruption

PurposeThe purpose of this paper is to evaluate the impact of financial inclusion (FI) on control of corruption in selected African countries.Design/methodology/approachThe study employs secondary data spanning over a period of 2005–2016. These data are sourced from IMF's International Financial Statistics, World Bank Development Indicators, Global Financial Development Database, Transparency International and International Country Risk Guide. The author uses Sarma (2008) approach to construct the FI index for 13 countries in Africa. The author applies random effect, robust least square and instrumental variable (IV) estimations to examine the impact of FI on control of corruption in Africa.FindingsThe author finds that financial inclusion improves the control of corruption. The author tests for possible FI threshold to avoid the case of extreme FI in Africa. The results show that there is a threshold level if reached, FI would have negative impacts in the control of corruption. This may likely happen mainly due to weak institutions in Africa. The results are robust to alternative proxy for control of corruption and various alternative estimation techniques.Practical implicationsThe finding indicates that FI can serve as part of toolkits for reducing corruption in Africa.Originality/valueThis study stresses the important role of FI in the economic system. It is the first paper that empirically suggests the role of FI in controlling corruption in Africa.

scholarly journals Econometric Analysis Suggests Possible Crowding Out of Public Libraries by Book Superstores among Middle Income Families in the 1990s

2007 ◽  
Vol 2 (3) ◽  
pp. 94
Author(s):  
Stephanie Hall
Keyword(s):  
United States ◽  
Public Library ◽  
The United States ◽  
Econometric Analysis ◽  
Consumer Information ◽  
County Level ◽  
Data Set ◽  
Middle Income ◽  
Library Use ◽  
The Impact

Objective – To determine the effect of large bookstores (defined as those having 20 or more employees) on household library use. Design – Econometric analysis using cross-sectional data sets. Setting – The United States of America. Subjects – People in over 55,000 households across the U.S.A. Methods – Data from 3 1996 studies were examined using logit and multinomial logit estimation procedures: the National Center for Education Statistics’ National Household Education Survey (NHES) and Public Library Survey (PLS), and the U.S. Census Bureau’s County Business Patterns (CBP). The county level results of the NHES telephone survey were merged with the county level data from the PLS and the CBP. Additionally, data on Internet use at the state level from the Statistical Abstract of the United States were incorporated into the data set. A logit regression model was used to estimate probability of library use based on several independent variables, evaluated at the mean. Main results – In general, Hemmeter found that "with regard to the impact of large bookstores on household library use, large bookstores do not appear to have an effect on overall library use among the general population” (613). While no significant changes in general library use were found among high and low income households where more large bookstores were present, nor in the population taken as a whole, middle income households (between $25,000 and $50,000 in annual income) showed notable declines in library use in these situations. These effects were strongest in the areas of borrowing (200% less likely) and recreational purposes (161%), but were also present in work-related use and job searching. Hemmeter also writes that “poorer households use the library more often for job search purposes. The probability of library use for recreation, work, and consumer information increases as income increases. This effect diminishes as households get richer” (611). Finally, home ownership was also correlated with higher library use. Households with children were more than 20% more likely to use the library (610). Their use of the library for school-related purposes, general borrowing, program activities, and so on was not affected by the presence of book superstores. White families with children were somewhat less likely to use the library, while families with higher earning and education levels were more likely to use the library. Library use also increased with the number of children in the family. Shorter distances to the nearest branch and a higher proportion of AV materials were also predictive of higher library use. Educational level was another important factor, with those having less than high school completion being significantly less likely to use the library than those with higher levels of educational attainment. Conclusions – The notable decline in public library use among middle income households where more large bookstores are present is seen as an important threat to libraries, as it may result in a decline in general support and support for funding among an important voting block. More current data are needed in this area. In addition to the type of information examined in this study, the author recommends the inclusion of information on funding, support for library referenda, and library quality as they relate to the presence of large bookstores.

Firm-level agreements, employment strategies and temporary workers

2020 ◽  
Vol 42 (1) ◽  
pp. 194-212
Author(s):  
Saverio Minardi
Keyword(s):  
Fixed Effects ◽  
Selection Process ◽  
Temporary Employment ◽  
Least Square ◽  
Temporary Workers ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Collective Agreements ◽  
The Impact

Purpose The purpose of this paper is to investigate the impact of two-tier firm-level collective agreements on firms’ propensity to use temporary employment, accounting for the process of self-selection of firms into different bargaining levels in the Italian context. It further examines which firm-level characteristics drive this process of selection. Design/methodology/approach The empirical analysis uses a panel data set of Italian firms for the years 2005, 2007, 2010 and 2015. Estimations are produced and compared through ordinary least square regression, random-effects and fixed-effects models. Findings Results show that enterprises adopting two-tier firm-level agreements (TTFA) are associated with lower levels of temporary workers. However, a longitudinal analysis suggests that introducing a TTFA does not impact firms’ propensity to employ temporary workers. This novel finding highlights the presence of a selection process based on firm-level time-constant characteristics. The paper argues that these characteristics refer to management orientation toward high-road rather than low-road employment strategies. Further evidence is brought in support of this claim, showing that firms’ propensity toward the provision of training for their labor force partially explain the process of selection. Originality/value The study is the first to analyze the impact of secondary-level collective agreements on firms’ reliance on temporary employment, offering new evidence on the causes of the expansion of temporary employment. It further highlights the relevance of employers’ strategies in shaping the impact of the bargaining structure.

scholarly journals An Attenuated Salmonella enterica Serovar Typhimurium Strain and Galacto-Oligosaccharides Accelerate Clearance of Salmonella Infections in Poultry through Modifications to the Gut Microbiome

2017 ◽  
Vol 84 (5) ◽  
Author(s):  
M. Andrea Azcarate-Peril ◽  
Natasha Butz ◽  
Maria Belen Cadenas ◽  
Matthew Koci ◽  
Anne Ballou ◽  
...  
Keyword(s):  
United States ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Salmonella Enterica ◽  
The United States ◽  
Wild Type ◽  
Content Type ◽  
Salmonella Infections ◽  
Serovar Typhimurium ◽  
The Impact

ABSTRACT Salmonella is estimated to cause one million foodborne illnesses in the United States every year. Salmonella -contaminated poultry products are one of the major sources of salmonellosis. Given the critical role of the gut microbiota in Salmonella transmission, a manipulation of the chicken intestinal microenvironment could prevent animal colonization by the pathogen. In Salmonella , the global regulator gene fnr ( f umarate n itrate r eduction) regulates anaerobic metabolism and is essential for adapting to the gut environment. This study tested the hypothesis that an attenuated Fnr mutant of Salmonella enterica serovar Typhimurium (attST) or prebiotic galacto-oligosaccharides (GOS) could improve resistance to wild-type Salmonella via modifications to the structure of the chicken gut microbiome. Intestinal samples from a total of 273 animals were collected weekly for 9 weeks to evaluate the impact of attST or prebiotic supplementation on microbial species of the cecum, duodenum, jejunum, and ileum. We next analyzed changes to the gut microbiome induced by challenging the animals with a wild-type Salmonella serovar 4,[5],12:r:− (Nal r ) strain and determined the clearance rate of the virulent strain in the treated and control groups. Both GOS and the attenuated Salmonella strain modified the gut microbiome but elicited alterations of different taxonomic groups. The attST produced significant increases of Alistipes and undefined Lactobacillus , while GOS increased Christensenellaceae and Lactobacillus reuteri . The microbiome structural changes induced by both treatments resulted in a faster clearance after a Salmonella challenge. IMPORTANCE With an average annual incidence of 13.1 cases/100,000 individuals, salmonellosis has been deemed a nationally notifiable condition in the United States by the Centers for Disease Control and Prevention (CDC). Earlier studies demonstrated that Salmonella is transmitted by a subset of animals (supershedders). The supershedder phenotype can be induced by antibiotics, ascertaining an essential role for the gut microbiota in Salmonella transmission. Consequently, modulation of the gut microbiota and modification of the intestinal microenvironment could assist in preventing animal colonization by the pathogen. Our study demonstrated that a manipulation of the chicken gut microbiota by the administration of an attenuated Salmonella strain or prebiotic galacto-oligosaccharides (GOS) can promote resistance to Salmonella colonization via increases of beneficial microorganisms that translate into a less hospitable gut microenvironment.

Cyprus will try to improve tarnished image in West

2019 ◽  
Keyword(s):  
United States ◽  
Natural Gas ◽  
The United States ◽  
Small Contribution ◽  
Construction Sector ◽  
Foreign Nationals ◽  
Content Type ◽  
Property Prices ◽  
Investment Programme ◽  
The Impact

Subject Nicosia’s decision to revoke the citizenship of 26 foreign nationals. Significance Cyprus has tightened up its Citizenship by Investment Programme (CIP) with regard to certain controversial individuals out of a desire to strengthen relations with the United States and EU. This is particularly important given Turkish efforts to prevent Cyprus exploring for natural gas in its waters. Impacts According to a finance ministry study, CIP made a positive but relatively small contribution to GDP during 2013-18. The construction sector benefited in particular, with employment rising by about 8%. The effect on property prices seems largely to have been confined to Limassol. The impact on Cypriot banking amounted largely to stabilising the sector and providing a new source of finance during the banking crisis.

scholarly journals US Egg Production Data Set

2019 ◽  
Author(s):  
Samara Mendez
Keyword(s):  
United States ◽  
Egg Production ◽  
Laying Hens ◽  
The United States ◽  
Egg Laying ◽  
United States Department ◽  
Flock Size ◽  
Advocacy Organizations ◽  
Data Set ◽  
The Impact

Tracking the capability of the egg production industry to supply the food industry with enough cage-free eggs to meet retailers' and restaurants' animal welfare commitments is important to industry groups and farm animal advocacy organizations alike. In this project, we synthesize an analysis-ready data set that tracks cage-free hens and the supply of cage-free eggs relative to the overall numbers of hens and table eggs in the United States. The data set is based on reports produced by the United States Department of Agriculture (USDA), which are published weekly or monthly. The data will be updated periodically as new USDA reports are released. We supplement these data with definitions and a taxonomy of egg products drawn from USDA and industry publications. The data include flock size (both absolute and relative) and egg production of cage-free hens as well as all table-egg-laying hens in the US, collected to understand the impact of the industry's cage-free transition on hens. Data coverage ranges from December 2007 to present. Initial analysis of cage-free trends shows that, as of the most recent version of this report, 26% of all table-egg-laying hens lived in cage-free systems. This figure represents an increase of 23 percentage points over the entire sample period of December 2007 to April 2020.Revised: May 29, 2020

scholarly journals Statistical Analysis of the Performance of a Big and Open Economy: The Case of the U.S.

2018 ◽  
pp. 10-17
Author(s):  
O. V. Zhuravliov ◽  
О. М. Simachova
Keyword(s):  
United States ◽  
Open Economy ◽  
Developing Economies ◽  
Negative Impact ◽  
The United States ◽  
Us Economy ◽  
The Us ◽  
The World ◽  
Macroeconomic Indicators ◽  
The Impact

The US economy is one of the richest and most diversified economies in the world and keeps its leadership in the global economy for the past 100 years. The United States is a global leader in computer technology, pharmaceuticals and the manufacture of medical, aerospace and military equipment. And although services make up about 80% of GDP, the US remains the second largest producer of industrial goods in the world and is a leader in research and development. President Donald Trump was elected in November 2016, promising a big gap with his predecessor’s regulatory, tax and trade policies. Therefore, the current socio-economic status of the USA and the possible ways of its development in the future are interesting for studying the impact on other economies, in particular, on the Ukrainian economy and the search for new and optimal ways of developing relations between the United States and Ukraine. Key macroeconomic indicators of the US economy in 2011–2018 are analyzed, demonstrating the influence of Donald Tramp’s new policy on changes in the indicators of the economy, the labor market, trade, etc., as well as possible ways of development in the coming years. The review of key macroeconomic indicators gives grounds for classifying the American economy as healthy one. Rates of GDP growth will remain in the range of 2 to 3%. These rates of growth in the world’s largest economy are callable to ensure a substantial increase in the global activity. But uncertainties in the politics may hinder global growth and have clearly negative impact on the investment growth in developed and developing economies.

scholarly journals Faktor-faktor yang Mempengaruhi Volume Ekspor Kopi dari Kabupaten Aceh Tengah ke Amerika Serikat

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Afriamah Afriamah ◽  
Zulkarnain Lubis ◽  
Mitra Musika Lubis
Keyword(s):  
United States ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
The United States ◽  
Least Square ◽  
Export Demand ◽  
Ordinary Least Square

Indonesia is one of the world's largest coffee producers, it can be seen from the amount of exports from Indonesia for coffee export. In the past few years, several companies have carried out massive expansion to get Gayo coffee from Central Aceh Regency and Bener Meriah. The purpose of this study was to analysis what factors influence the volume of Gayo coffee exports from Central Aceh Regency to the United States. The data collection method using the documentary method is the data obtained and viewed by the document in accordance with the variables in the research model in the period 2013-2017. Data collected is secondary data. The analytical method used is multiple linear regression with the method used is the Ordinary Least Square (OLS) Method. From the research using multiple linear regression analysis obtained that variables which have significant effect to the export demand of Gayo Coffee from the United States is Global Coffee Prices. While the production of domestic Gayo coffee, the exchange rate of dollars against the rupiah and the price of foreign Gayo coffee are not significant to the demand for export of Gayo coffee to the United States.

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