LexDeep:Hybrid Lexicon and Deep Learning Sentiment Analysis Using Twitter for Unemployment-Related Discussions During COVID-19

The COVID-19 pandemic has spread globally,resulting in financialinstability in many countries and reductions in the per capita grossdomestic product.Sentiment analysis is a cost-effective method for acquiringsentiments based on household income loss,as expressed on social media.However,limited research has been conducted in this domain using theLexDeep approach.This study aimed to explore social trend analytics usingLexDeep,which is a hybrid sentiment analysis technique,on Twitter to capturethe risk of household income loss during the COVID-19 pandemic.First,tweet data were collected using Twint with relevant keywords before(9 March2019 to 17 March 2020)and during(18 March 2020 to 21 August 2021)thepandemic.Subsequently,the tweets were annotated using VADER(lexiconbased)and fed into deep learning classifiers,and experiments were conductedusing several embeddings,namely simple embedding,Global Vectors,andWord2Vec,to classify the sentiments expressed in the tweets.The performanceof each LexDeep model was evaluated and compared with that of a supportvector machine(SVM).Finally,the unemployment rates before and duringCOVID-19 were analysed to gain insights into the differences in unemploymentpercentages through social media input and analysis.The resultsdemonstrated that all LexDeep models with simple embedding outperformedthe SVM.This confirmed the superiority of the proposed LexDeep modelover a classical machine learning classifier in performing sentiment analysistasks for domain-specific sentiments.In terms of the risk of income loss,the unemployment issue is highly politicised on both the regional and globalscales;thus,if a country cannot combat this issue,the global economy will alsobe affected.Future research should develop a utility maximisation algorithmfor household welfare evaluation,given the percentage risk of income lossowing to COVID-19.

Urbanization,unemployment rate and China' rising divorce rate

This paper analyzes the impacts of urbanization and unemployment rate on China's divorce rate with the panel data of 31Chinese provinces from 2000 to 2011.The study manifests as follows.First,the significant influence of urbanization cannot be observed on the rising breakdown since the latter is not the inevitable result of the former.In the second place,unemployment rate has a significant negative influence on divorce rate,namely,with the former increasing,the latter will decrease,which echoes the perspective of divorce cost.And finally,this paper also finds positive effects of per capita fixed investment,old-age dependency rate,average household size,the proportion of floating population and population density,and negative correlation of average education attainment on divorce rate.

Threshold Parameter for the Control of Unemployment in the Society: Mathematical Model and Analysis

Unemployment is one of the major vices in our contemporal society, which weigh greatly on the economy of such nation. It is also, a fact that knowing ones enemy before battle gives 50 per cent chance of victory;thus, this research aimed at providing understanding about dynamics of unemployment with consideration for retirement and possible control criterion. And the objectives are;formulation of mathematical model using the concept of deterministic model and mathematical epidemiology;then, model analysis. The model analysis includes, a numerical semi-analytical scheme for investigating validity of analytical solutions. The result of the analysis were that: 1) the model was mathematically well-pose and biologically meaningful 2) two equilibria points exist, and 3) a threshold for recruitment from the pool of unemployment, assuring victory in the fight against unemployment was also, obtained. The threshold is required to be well managed in order to win the battle against the socio-vice (unemployment) in the contemporary society. In addition, variational iterative method (VIM) is the numerical semi-analytic scheme employed to solve the model;thus, the approximate solution gave a practical meaningful interpretation supporting the analytical results and proof of verdict of assumptions of the model. The article concluded with three points;everyone has roles to play to curtail the socio-menace, beseech government and policy makers to look kindly, and create policy(ies) to sustain population growth, and the retiree should also, plan live after service, because over dependence on pension scheme could be died before death because of corruption in the scheme.

COVID-19 and Unemployment: A Novel Bi-Level Optimal Control Model

Since COVID-19 was declared as a pandemic in March 2020,the world’s major preoccupation has been to curb it while preserving the economy and reducing unemployment.This paper uses a novel Bi-Level Dynamic Optimal Control model(BLDOC)to coordinate control between COVID-19 and unemployment.The COVID-19 model is the upper level while the unemployment model is the lower level of the bi-level dynamic optimal control model.The BLDOC model’s main objectives are to minimize the number of individuals infected with COVID-19 and to minimize the unemployed individuals,and at the same time minimizing the cost of the containment strategies.We use the modified approximation Karush–Kuhn–Tucker(KKT)conditions with the Hamiltonian function to handle the bi-level dynamic optimal control model.We consider three control variables:The first control variable relates to government measures to curb the COVID-19 pandemic,i.e.,quarantine,social distancing,and personal protection;and the other two control variables relate to government interventions to reduce the unemployment rate,i.e.,employment,making individuals qualified,creating new jobs reviving the economy,reducing taxes.We investigate four different cases to verify the effect of control variables.Our results indicate that rather than focusing exclusively on only one problem,we need a balanced trade-off between controlling each.

Factors and Determinants of Interregional Unemployment Rate Differences in Rural Russia

This study involves an econometric assessment of the impact that macroeconomic, institutional, structural, demographic and social variables produce on the rate of and interregional differences in rural unemployment. We classify the regions of Russia by the rate of overall and rural unemployment and characterize the groups of regions we have selected according to key parameters of the labor market and features of regional development. Employing a regression analysis, this paper focuses on the factors of regional unemployment in the subjects of Russian Federation. When making our regression models, stepwise regression methods were used. Evaluating the regression models that include demographic, economic and social factors, we identify the determinants of rural unemployment. The regression analysis was carried out for both the Russian Federation as a whole and each of the typological groups individually. We find that such factors like a big share of young people in the structure of the rural population and a low level of education of rural residents do contribute to the growth of rural unemployment. At the same time, higher employment, diversification of the rural economy through promoting non-agricultural employment, and higher levels of vocational education among rural residents cause the rate of rural unemployment to fall.

Currency Areas: Public Debt, Inflation and Unemployment

Can public debt, inflation and unemployment tell us something about optimal or not optimal currency areas? In this paper, I compare the behavior of these variables in two countries, Mexico and the United States of America (USA), along with the member countries of the Euro Zone (European Monetary Union, or EMU). The main purpose is to know the divergence between public debt, average inflation ﹣0% in the graphs—in the main cities or regions of the first two, and compare them with the countries of the EMU. The period of 2001-2012 is chosen to be the years in which the Euro has been circulating among member countries of the Monetary Union (EMU). We find significant differences that allow us to determine the faults that the criteria of divergence on these variables had on the founding treaty of the European Monetary Union.

An investigation on the Correlation between Unemployment and Living Conditions in Zambia： A Case Study of Kaunda Square Stage II

Most of the Zambian population, the poor people in affluent society, are enmeshed in the net of poverty. The Zambian government seems to have failed in its contractual obligation to respect and sustain its social contract with the people. There is a seemingly total collapse of social security, increased unemployment rate and consequently decreased living conditions among the youth. This study sets out to investigate the correlation between unemployment and living conditions in Kaunda Square Stage II by analyzing the impact of unemployment and suggests strategic solutions to mitigate the levels of unemployment. The primary objective of this study is to investigate the impact on the living conditions caused by unemployment in Zambia specifically in Kaunda Square Stage II and adopt strategic solutions that will mitigate creation of jobs to improve the living conditions. The study underscores that unemployment is a universal phenomenon, not necessarily a peculiar characteristic of any segment of the society. Reducing poverty, preventing excessive inequality, and generating adequate employment are the three most important goals of a macroeconomic strategy that seeks to improve the living standards of the population. Inequality and employment are each a complex phenomenon and difficult to capture with a single measurement, particularly in a low-income economy undergoing change. It is in this context that the study intends to investigate the correlation between unemployment and living conditions in Kaunda Square Stage II and to provide strategic solutions that may improve living conditions in Kaunda Square Stage II. The study concludes that high unemployment in Kaunda Square Stage II increases poverty which subsequently affects living conditions. Therefore, when, unemployment rates increase the opportunities for earning income decreases which instigate individuals to be poor. The paper closes with reflections on how good strategic solutions can be used to underwrite more employment reduction strategies.

Is There Hysteresis in Unemployment in OECD Countries？ Evidence From Panel Unit Root Test With Structural Breaks

This study tests the hysteresis hypothesis of unemployment in fifteen OECD countries by using panel unit root tests which allow for structural breaks. We apply annual unemployment rates covering 1985-2008 periods. We test whether unemployment rates are stationary by using second generation tests which allow cross section dependency among series and panel unit root test based on structural break advanced by Carrion-i-Silvestre, Barrio-Castro and Lopez-Bazo （2005）. We find series as a stationary process with structural breaks according to Carrion-i Silvestre et al. （2005） test, while we find series as unit root process with second generation panel unit root test. According to the Carrion-i Silvestre et al. （2005） test, we find the evidence of absence of hysteresis in analyzed countries. As a result, temporary shocks have temporary effects on unemployment instead of permanent effect. Structural factors can affect the natural rate of unemployment and, therefore, unemployment would be stationary around a process that is subject to structural breaks. So, there still exists a unique natural rate of unemployment to which the economy eventually will converge.

Statistical Analysis of the Relation Between Inflation and Unemployment in Democratic States Using Spearman＇s Correlation Coefficient With Application in Albania

The main purpose of the present study is to investigate the relation between inflation rate and unemployment rate in contemporary democratic states, using Spearman＇s correlation coefficient. We apply this method in Albania during the period from January 2005 to December 2014. Some results of the study include： （1） The Central Limit Theorem （CLT） is not applicable for the quarterly inflation rate as well as for quarterly unemployment rate in Albania during the period from January 2005 to December 2014 at the confidence level of 99.99%. The official data for inflation and unemployment contradict the CLT at a very high confidence level of 99.99%; （2） The inflation process in Albania during the period from January 2005 to December 2014 is an unfair game at the confidence level of 99.2%; （3） The unemployment process in Albania during the period from January 2005 to December 2014 is an unfair game at the confidence level of 99.99%; （4） The inflation and unemployment in Albania during the period from January 2005 to December 2014 are statistically dependent at the 96% confidence level; （5） Spearman＇s correlation coefficient = 0.387 indicates a weak positive correlation between inflation and unemployment in Albania during the specified period; and （6） The official data for inflation and unemployment in Albania during the period from January 2005 to December 2014 are consistent with Friedman＇s hypothesis.

Unemployment Period Approach with Infinite Servers Queue Systems

With results on the infinite servers queue systems with Poisson arrivals - M｜G｜∞ queues - busy period, it is displayed an application of those queue systems in the unemployment periods time length parameters and distribution function study. These queue systems are adequate to the study of many population processes, and this quality is brought in here. The results presented are mainly on unemployment periods length and their number in a certain time interval. Also, some questions regarding the practical applications of the outlined formulas are briefly discussed.

Economic growth and unemployment in East Asia

Barro and Sala-i-Martin （2004） analyzed the empirical determinants of growth. The data used in this paper consists of panel data of several macroeconomic variables observed for 55 years 0950-2004） in six East Asian countries and regions. Following the implications of semi-endogenous growth theory, the author regressed output growth on the determinants of steady-state income. The estimation and test results suggest the existence of significant relationship between steady-state income and （trend weighted） R ＆ D input both in Japan and South Korea. In addition, following Cellini （1995）, the author also considers cointegration and error-correction methods as the growth regression of East Asian countries. Meanwhile, Chang, et al （2004） derived the conclusion that the decreases in reallocation shocks are main factor in a downward trend in natural rate of unemployment for South Korea. The author extends this analysis using structural VAR to other Asian countries and regions, Japan and Taiwan region. Impulse responses show that the growth of production in Korea and Taiwan reduce unemployment, but, in Japan, this raises unemployment.

There are Steps to Bring Down Unemployment

For both India and China,the fundamental issue to solving the question of job creation is to maintain growth momentum.If we don’t grow we cannot create fresh employment.At the same time,growth must be employment friendly.Even existing businesses must grow,otherwise they die out.Being

Reducing unemployment in China's economy

China’s great transformation,launched three decades ago,has changed the fate of hundreds of millions of people,including Liu Wei,an "educated youth" at the time. After having witnessed the seeming insignificance and helplessness of individuals in the face of grand social movements over the past 30 years,Liu,now an economist,shifted his attention to how the fate of ordinary people changes amid the rising and ebbing tides of the economy. While people fret over the future national well-being during complicated policy changes,Liu pointed out that employment holds key to China’s economy because employment has a direct bearing on people’s livelihood.

The obstacles and countermeasures of developing function of China＇s Unemployment insurance funds

The function of the unemployment insurance funds arc： ensuring the basic life and stabling employment, preventing unemployment and promoting employment, on the one hand, it guarantee basic livings of the unemploycd, in order to reduce the impact on the individual and society. On the other hand, it also has a function of stabling employment, preventing unemployment and promoting unemployed again obtain employment. In recent years, however, the unemployment insurance fund revenue has been greater than its expenditure, balance funds become more and more, it not only faces a risk of depreciation, also will cause the waste of funds. Therefore, improve the utilization rate of the uncmployment insurance fund itself and expand the function of the unemployment insurance fund, realize the sustainable development of unemployment insurance funds is great significance.

A Research on Unemployment in China＇s Transition Economy

Based on the theory of rigid wage of Keynesianism, this paper discusses the influence of rigid wage on unemployment in China＇s transition economy, and thoroughly analyzes the traditional concept of workers in state-owned enterprises. Then the paper puts forward that in order to activate employment market, solve current problem of the large quantity surplus labor, supply-demand rule of labor market should be obeyed, and the rigid wage of long-term contract should be replaced by the flexible wage of short-term contract. The solution of unemployment will be of great significance for Chinese economy growth and social development.