Home Equity Lines of Credit and the Unemployment Rate – What Does the Evidence Say?

2012 ◽  
Author(s):  
John Phillip Lajaunie ◽  
Norbert J. Michel ◽  
Shari Lawrence ◽  
Ronnie Fanguy
Keyword(s):  
Unemployment Rate ◽  
Home Equity ◽  
Lines Of Credit

scholarly journals The Market Crash and Mass Layoffs: How the Current Economic Crisis May Affect Retirement

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Courtney C Coile ◽  
Phillip B Levine
Keyword(s):  
Labor Market ◽  
Stock Market ◽  
Economic Crisis ◽  
Unemployment Rate ◽  
Housing Markets ◽  
Home Equity ◽  
Market Conditions ◽  
Stock Market Returns ◽  
Long Run ◽  
Current Economic Crisis

Abstract Recent dramatic declines in U.S. stock and housing markets have led to widespread speculation that shrinking retirement accounts and falling home equity will lead workers to delay retirement. Yet the weakness in the labor market and its impact on retirement are often overlooked. If older job seekers have difficulty finding work, they may retire earlier than expected. The net effect of the current economic crisis on retirement is thus far from clear. In this paper, we use 30 years of data from the March Current Population Survey to estimate models relating retirement decisions to fluctuations in equity, housing, and labor markets. We find that workers age 62 to 69 are responsive to the unemployment rate and to long-run fluctuations in stock market returns. Less-educated workers are more sensitive to labor market conditions and more-educated workers are more sensitive to stock market conditions. We find no evidence that workers age 55 to 61 respond to these fluctuations or that workers at any age respond to fluctuating housing markets. On net, we predict that the increase in retirement attributable to the rising unemployment rate will be almost 50 percent larger than the decrease in retirement brought about by the stock market crash.

Consumer Credit & the Housing Market: An Examination of Trends in Home Equity Lines of Credit

2012 ◽  
Author(s):  
Norbert J. Michel ◽  
John Phillip Lajaunie ◽  
Shari Lawrence ◽  
Ronnie Fanguy
Keyword(s):  
Housing Market ◽  
Consumer Credit ◽  
Home Equity ◽  
Lines Of Credit

Soft Skills among Students: A Case Study of UiTM Cawangan Kelantan

2019 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Muhammad Faizal Samat ◽  
Norazlan Annual ◽  
Raznee Atisya Md Rashidi
Keyword(s):  
Problem Solving ◽  
Unemployment Rate ◽  
Significant Influence ◽  
Education System ◽  
Communication Skill ◽  
Soft Skills ◽  
Team Building ◽  
Leadership Skill ◽  
Quality In Education

This article contributes to ongoing debates about soft skills among students. In 2017, the unemployment rate in Malaysia was at 3.42 percent as compared to 2.85 percent in 2014. Education system must aim towards employability and ensure quality in education to reduce the percentage of unemployment. Thus, this study aims to investigate the development of soft skills among students through co-curriculum activities in UiTM Cawangan Kelantan. The sample were 113 students from UiTM Cawangan Kelantan. Questionnaires adapted from previous research to measure the communication skill, problem solving skill, team building skill, leadership skill and soft development of soft skills among students through co-curriculum activities. SEM-PLS 3.0 were employed in this study. The findings revealed only team building skill has significant influence on developments of soft skills among students through co-curriculum activities. However, the study indicates that communication skill, problem solving skill and leadership skill are not significant towards development of soft skills among students through cocurriculum activities.

Using distributed lag models to predict regional budget revenues

2020 ◽  
Vol 19 (6) ◽  
pp. 1154-1172
Author(s):  
Yu.V. Granitsa
Keyword(s):  
Unemployment Rate ◽  
Consumer Price Index ◽  
Mathematical Methods ◽  
Distributed Lag ◽  
Key Indicator ◽  
Distributed Lag Models ◽  
Regional Budget ◽  
The Impact ◽  
Financial Result

Subject. The article addresses projections of regional budget revenues, using distributed lag models. Objectives. The purpose is to review economic and statistical tools that are suitable for the analysis of relationship between the revenues of the regional budget system and regional macroeconomic predictors. Methods. The study draws on statistical, constructive, economic and mathematical methods of analysis. Results. In models with quantitative variables obtained under the Almon method, the significant predictors in the forecasting of regional budget revenues are determined mainly by the balanced financial result, the consumer price index, which characterizes inflation processes in the region, and the unemployment rate being the key indicator of the labor market. Models with quantitative variables obtained through the Koyck transformation are characterized by a wider range of predictors, the composition of which is determined by the peculiarities of economic situation in regions. The two-year forecast provides the average lag obtained during the evaluation of the models. The exception is the impact of unemployment rate, which is characterized as long-term. Conclusions. To generate forecasts of budget parameters, the results of both the Koyck method and the Almon method should be considered, though the former is more promising.

ANALYSIS OF UNEMPLOYMENT USING FOUR-FACTOR MODEL IN EUROPEAN UNION COUNTRIES

2020 ◽  
Author(s):  
Ľubica Hurbánková ◽  
Keyword(s):  
European Union ◽  
Unemployment Rate ◽  
Economic Activity ◽  
Total Population ◽  
Factor Model ◽  
Economic Statistics ◽  
European Union Countries ◽  
Working Age ◽  
Working Age Population ◽  
Microsoft Office

The paper deals with the analysis of unemployment in European Union countries on the basis of data of the unemployment rate and the number of unemployed. The data are obtained from the Eurostat website. The aim of the paper is to find out how the number of unemployed in individual EU countries changed in 2018 compared to 2009, in which country the number of unemployed increased the most, in which the least. Appropriate tools of economic statistics are used for the analysis. Based on a four-factor model of the analysis of the number of unemployed, we find out how this indicator has changed depending on the change in the unemployment rate, the economic activity rate, the share of the working age population in the total population, and the total population. The application of statistical method is implemented through the programme Microsoft Office Excel.

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