The long run impact of immigration on labor market in an advanced economy

2015 ◽  
Vol 42 (4) ◽  
pp. 356-367
Author(s):  
Faridul Islam ◽  
Saleheen Khan
Keyword(s):  
Labor Market ◽  
Gdp Per Capita ◽  
Advanced Economy ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Run ◽  
The Usa ◽  
Short Run ◽  
Per Capita ◽  
The Impact

Purpose – The purpose of this paper is to examine the dynamic relationship among immigration rate, GDP per capita, and and real wage rates in the USA. Design/methodology/approach – The paper implements the Johansen-Juselius (1990, 1992) cointegration technique to test for a long-run relationship; and for short-run dynamics the authors apply Granger causality tests under the vector error-correction model. Findings – The results show that the long-run causality runs from GDP per capita to immigration, not vice versa. Growing economy attracts immigrants. The authors also find that immigration flow depresses average weekly earnings of the natives in the long-run. Originality/value – The authors are not aware of any study on the USA addressing the impact of immigrants on labor market using a tripartite approach by explicitly incorporating economic growth. It is therefore important to pursue a theoretically justified empirical model in search of a relation to resolve on apparent immigration debate.

Does poverty lead to crime? Evidence from the United States of America

2018 ◽  
Vol 45 (10) ◽  
pp. 1424-1438 ◽  
Author(s):  
Mohammed Imran ◽  
Mosharrof Hosen ◽  
Mohammad Ashraful Ferdous Chowdhury
Keyword(s):  
Time Series Data ◽  
Property Crime ◽  
The United States ◽  
Economic Hardship ◽  
Series Data ◽  
Advanced Economy ◽  
Content Type ◽  
Long Run ◽  
The Usa ◽  
The Impact

Purpose Economic hardship and crime is always a debatable issue in the political economy literature. Some authors define poverty leads to crime some are completely opposite. The purpose of this paper is to find out the impact of poverty on crime in the USA. Design/methodology/approach Using time series data of USA over the period from 1965 to 2016, this study applies autoregressive distributed lag approach to identify the effect of poverty on crime. Findings The outcomes confirm a positive co-integrating relationship between poverty and property crime. It can be argued that poverty ultimately leads property crime in long run in the USA. However, unemployment and GDP exhibit neither long-run nor short-run relationship with property crime and they are not cointegrated for the calculated period. Research limitations/implications The subject of this paper helps to explain and analyze the nexus between poverty and crime in the USA. Practical implications Government and policymakers should focus more on poverty rather than unemployment alone to control property crime. Originality/value This study attempts to identify the consequences of economic hardship and poverty on the crime in the advanced economy like USA.

The impact of labor freedom on geographic cost of living differentials

2017 ◽  
Vol 6 (3) ◽  
pp. 385-395
Author(s):  
Richard Cebula ◽  
James E. Payne ◽  
Donnie Horner ◽  
Robert Boylan
Keyword(s):  
Labor Market ◽  
State Level ◽  
The State ◽  
Annual Data ◽  
Significant Finding ◽  
Cost Of Living ◽  
Content Type ◽  
The Usa ◽  
The Cost ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of labor market freedom on state-level cost of living differentials in the USA using cross-sectional data for 2016 after allowing for the impacts of economic and quality of life factors. Design/methodology/approach The study uses two-stage least squares estimation controlling for factors contributing to cost of living differences across states. Findings The results reveal that an increase in labor market freedom reduces the overall cost of living. Research limitations/implications The study can be extended using panel data and alternative measures of labor market freedom. Practical implications In general, the finding that less intrusive government and greater labor freedom are associated with a reduced cost of living should not be surprising. This is because less government intrusion and greater labor freedom both inherently allow markets to be more efficient in the rationalization of and interplay with forces of supply and demand. Social implications The findings of this and future related studies could prove very useful to policy makers and entrepreneurs, as well as small business owners and public corporations of all sizes – particularly those considering either location in, relocation to, or expansion into other markets within the USA. Furthermore, the potential benefits of the National Right-to-Work Law currently under consideration in Congress could add cost of living reductions to the debate. Originality/value The authors extend the literature on cost of living differentials by investigating whether higher amounts of state-level labor market freedom act to reduce the states’ cost of living using the most recent annual data available (2016). That labor freedom has a systemic efficiency impact on the state-level cost of living is a significant finding. In our opinion, it is likely that labor market freedom is increasing the efficiency of labor market transactions in the production and distribution of goods and services, and acts to reduce the cost of living in states. In addition, unlike previous related studies, the authors investigate the impact of not only overall labor market freedom on the state-level cost of living, but also how the three sub-indices of labor market freedom, as identified and measured by Stansel et al. (2014, 2015), impact the cost of living state by state.

Does educational progress impact energy consumption? A causality test for India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumen Rej ◽  
Barnali Nag
Keyword(s):  
Energy Consumption ◽  
Energy Supply ◽  
Causality Test ◽  
Content Type ◽  
Vector Error Correction ◽  
Educational Advancement ◽  
Long Run ◽  
Short Run ◽  
Development Goals ◽  
Per Capita

Purpose Both energy and education have been positioned as priority objectives under the itinerary of UN development goals. Hence, it is necessary to address the implicit inter relationship between these two development goals in the context of developing nations such as India who are trying to grow in both per capita income and socio economic factors whilst struggling with the challenges of a severe energy supply constrained economy. Design/methodology/approach In the present study, the causal relationship between energy consumption per capita and education index (EI) as a proxy of educational advancement is investigated for India for 1990–2016 using the Johansen-Juselius cointegration test and vector error correction model. Findings The empirical results infer although energy consumption per capita and EI lack short run causality in either direction, existence of unidirectional long run causality from EI to per capita energy consumption is found for India. Further, it is observed that energy consumption per capita takes around four years to respond to unit shock in EI. Research limitations/implications The findings from this study imply that with the advancement of education, a rise in per capita energy consumption requirement can be foreseen on the demand side, and hence, India’s energy policy needs to emphasize further its sustainable energy supply goals to meet this additional demand coming from a population with better education facilities. Originality/value The authors hereby confirm that this manuscript is entirely their own original study and not submitted elsewhere.

scholarly journals THE IMPACT OF LABOUR MARKET ON MIGRATION PROCESS IN THE CENTRAL AND EASTERN EUROPE

2021 ◽  
Author(s):  
Юлія Цевух ◽  
Вікторія Бобришева ◽  
Аліса Крупиця
Keyword(s):  
Czech Republic ◽  
Labor Market ◽  
Central And Eastern Europe ◽  
Slovak Republic ◽  
Gdp Per Capita ◽  
Vacancy Rate ◽  
Market Outcomes ◽  
Job Vacancy ◽  
Per Capita ◽  
The Impact

The article presents the results of the study of the main trends of the labor market in Central and Eastern Europe during 2010-2021; it also investigates selected labour market outcomes affecting migration processes in Bulgaria, Czech Republic, Estonia, Latvia, Lithuania, Romania, Poland, Slovak Republic, Slovenia, and Hungary. Using econometric modeling, the impact of GDP per capita, annual net earnings per employee, job vacancy rate, unemployment rate on the number of emigrants from these CEE countries was estimated. It is followed by the analysis which controls for dependence of the number of immigrants to CEE countries on labor market outcomes and GDP per capita. The simulation results demonstrate a direct impact of the indicators of net earnings per worker, the level of unemployment and quantity of emigrants from CEE countries. At the same time, there is a direct relationship between job vacancy rate, net earnings and immigration into Bulgaria, Czech Republic, Estonia, Latvia, Lithuania, Romania, Poland, Slovak Republic, Slovenia, and Hungary.

scholarly journals Economic crises and emission of pollutants: a historical review of select economies amid two economic recessions

Ekonomika ◽  
2016 ◽  
Vol 95 (1) ◽  
pp. 7-21 ◽  
Author(s):  
Andriy Stavytskyy ◽  
Vincent Giedraitis ◽  
Darius Sakalauskas ◽  
Maik Huettinger
Keyword(s):  
Historical Review ◽  
The United States ◽  
Gdp Per Capita ◽  
Economic Crises ◽  
Greenhouse Gasses ◽  
Long Run ◽  
Per Capita ◽  
Carbon Dioxide Co2 ◽  
Human Pollution ◽  
The Impact

This paper investigates the historical trends in economic development through the impact of economic depressions and emissions of greenhouse gasses, namely carbon dioxide (CO2). The analysis includes four countries: the United States, the United Kingdom, Germany and Japan. The focus, therefore, will be on the impact of two economic crises and their effect on global warming. Temperature changes in the longer period are very often regarded as a result of human activity, which can be measured by the increase of GDP (per capita). The findings indicate that GDP (per capita) parameters cannot be considered as correct measures of human pollution activity. The results show that the long-run temperature can be evaluated with the help of annual average temperatures of the previous four years. The proposed model does not only provide quite satisfactory forecasts, but is very stable with coefficients variables that can make a model more reliable for practice.

Macroeconomic shocks, fragility and home financing in Malaysia: can rental index be the answer?

2018 ◽  
Vol 9 (1) ◽  
pp. 17-44 ◽  
Author(s):  
Rosylin Mohd Yusof ◽  
Farrell Hazsan Usman ◽  
Akhmad Affandi Mahfudz ◽  
Ahmad Suki Arif
Keyword(s):  
Interest Rates ◽  
Islamic Banks ◽  
Macroeconomic Shocks ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Rental Rate ◽  
Conventional Banks ◽  
The Impact ◽  
Conventional And Islamic Banks

Purpose This study aims to investigate the interactions among macroeconomic variable shocks, banking fragility and home financing provided by conventional and Islamic banks in Malaysia. Identifying the causes of financial instability and the effects of macroeconomic shocks can help to foil the onset of future financial turbulence. Design/methodology/approach The autoregressive distributed lag bound-testing cointegration approach, impulse response functions (IRFs) and forecast error variance decomposition are used in this study to unravel the long-run and short-run dynamics among the selected macroeconomic variables and amount of home financing offered by both conventional and Islamic banks. In addition, the study uses Granger causality tests to investigate the short-run causalities among the selected variables to further understand the impact of one macroeconomic shock to Islamic and conventional home financing. Findings This study provides evidence that macroeconomic shocks have different long-run and short-run effects on amount of home financing offered by conventional and Islamic banks. Both in the long run and short run, home financing provided by Islamic banks is more linked to real sector economy and thus is more stable as compared to home financing provided by conventional banks. The Granger causality test reveals that only gross domestic product (GDP), Kuala Lumpur Syariah Index (KLSI)/Kuala Lumpur Composite Index (KLCI) and house price index (HPI) are found to have a statistically significant causal relationship with home financing offered by both conventional and Islamic banks. Unlike the case of Islamic banks, conventional home financing is found to have a unidirectional causality with interest rates. Research limitations/implications This study has focused on analyzing the macroeconomic shocks on home financing. However, this study does not assess the impact of financial deregulation and enhanced information technology on amount of financing offered by both conventional and Islamic banks. In addition, it is not within the ambit of this present study to examine the effects of agency costs and information asymmetry. Practical implications The analysis of cointegration and IRFs exhibits that in the long run and short run, home financing provided by Islamic banks are more linked to real sector economy like GDP and House Prices (HPI) and therefore more resilient to economic vulnerabilities as compared to home financing provided by conventional banks. However, in the long run, both conventional and Islamic banks are more susceptible to fluctuations in interest rates. The results of the study suggest that monetary policy ramifications to improve banking fragility should focus on stabilizing interest rates or finding an alternative that is free from interest. Social implications Because interest plays a significant role in pricing of home loans, the potential of an alternative such as rental rate is therefore timely and worth the effort to investigate further. Therefore, Islamic banks can explore the possibility of pricing home financing based on rental rate as proposed in this study. Originality/value This paper examines the unresolved issues in Islamic home financing where Islamic banks still benchmark their products especially home financing, to interest rates in dual banking system such as in the case of Malaysia. To the best of the authors’ knowledge, studies conducted in this area are meager and therefore is imperative to be examined.

scholarly journals Are some taxes better for growth in Pakistan? A time series analysis

2018 ◽  
Vol 45 (10) ◽  
pp. 1439-1452 ◽  
Author(s):  
Kashif Munir ◽  
Maryam Sultan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
International Trade ◽  
Sales Tax ◽  
Tax Base ◽  
Content Type ◽  
Long Run ◽  
Indirect Taxes ◽  
Short Run ◽  
The Impact

Purpose The purpose of this paper is to analyze the impact of taxes on economic growth in the long run as well as in the short run. Design/methodology/approach The study uses simple time series model, where real GDP is dependent variable and different forms of taxes are explanatory variables under ARDL framework from 1976 to 2014 at annual frequency for Pakistan. Findings Direct taxes have positive relation with economic growth in the long run. Sales tax, tax on international trade (tariffs) and other indirect taxes have positive impact on economic growth of Pakistan in the long run as well as in the short run. However, sales tax and other indirect taxes impact negatively on economic growth in the short run after one year because people realize decline in their real income. Practical implications Government should increase direct taxes by increasing tax base. Indirect taxes usually indicate negative impact after one and two years; therefore, government should decrease its reliance on indirect taxes. Government should promote tax awareness among the people which increase the tax morale of people and increase the tax base. Originality/value Taxes are disaggregated into direct and indirect taxes, while indirect taxes have been further disaggregated into excise duty, sales tax, surcharges, tax on international trade and other indirect taxes. This study provides useful insight for policy makers in designing taxes and their effect on growth.

scholarly journals Economic growth and crude oil revenue in Nigeria

2022 ◽  
Vol 10 (8) ◽  
pp. 218-227
Author(s):  
Nenubari John Ikue ◽  
Lucky Ifeanyi Amabuike ◽  
Joseph Osaro Denwi ◽  
Aminu Usman Mohammed ◽  
Ahmadu Uba Musa
Keyword(s):  
Crude Oil ◽  
Oil Industry ◽  
Individual Income ◽  
Development Indicators ◽  
Oil Revenue ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
The Impact ◽  
World Development

This paper investigated how oil revenue and the activities in the oil industry affected the size of income accrue to each Nigerian (Per capita income) from 1980 to 2019. The variables were sourced from the World Bank’s World Development Indicators (WDI), OPEC Statistics, Baker Hughes Rig Count and the central bank of Nigeria statistical bulletin. Using the AutoRegressive Distributional Lag (ARDL) we observed that explorative activities of crude oil in Nigeria positively impacted the size of individual income. The magnitude of the impact was massive irrespective of time; a 1% increase in exploration increases the size of individual income by 0.4786% in the long run and 0.6030% in the short run. The interaction of rigs by output (interaction of rig-count and oil-production) negatively impacted the size of individual income. This implies that the size of individual income in Nigeria is sensitive to the nature of the explorative environment of the Nigerian oil industry.

Does Ban on Futures trading (de)stabilise spot volatility?

2019 ◽  
Vol 9 (2) ◽  
pp. 145-166 ◽  
Author(s):  
Neharika Sobti
Keyword(s):  
Granger Causality ◽  
Price Discovery ◽  
Futures Trading ◽  
Causality Test ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Spot Volatility ◽  
Non Parametric

Purpose The purpose of this paper is to ascertain the possible consequences of ban on futures trading of agriculture commodities in India by examining three critical issues: first, the author explores whether price discovery dominance changes between futures and spot in the pre-ban and post-relaunch phase both in the long run and short run. Second, the author examines the impact of ban and relaunch of futures trading on its underlying spot volatility for five sample cases of agriculture commodities (Wheat, Sugar, Soya Refined Oil, Rubber and Chana) using both parametric and non-parametric tests. Third, the author revisits the destabilization hypothesis in the light of ban on futures trading by examining the impact of unexpected component of liquidity of futures on spot volatility. Design/methodology/approach The author uses widely adopted methodology of co-integration to examine long-run relationship between spot and futures, while the short-run relationship is investigated using vector error correction model (VECM) and Granger causality to test price discovery in the pre-ban and post-relaunch phases. The second objective is explored using a combination of parametric and non-parametric tests such as Welch one-way ANOVA and Kruskal–Wallis test, respectively, to gauge the impact of ban on futures trading on spot volatility along with post hoc tests to investigate pairwise comparison of spot volatility among three phases (pre-ban, ban and post-relaunch) using Dunn Test. In addition, extensive robustness test is undertaken by adopting augmented E-GARCH model to ascertain the impact of ban and relaunch of futures trading on spot volatility. The third objective is investigated using Granger causality test between spot volatility and unexpected component of liquidity of futures estimated using Hodrick and Prescott (HP) filter to re-visit the destabilization hypothesis. Findings The author found extensive evidence for the dominance of futures market in the price discovery of agriculture commodities both in the pre-ban and post-relaunch phases in India. The ban on futures trading is found to have a destabilizing impact on spot volatility as evident from the findings of Wheat, Sugar and Rubber. In addition, it is observed that spot volatility was highest during the ban phase as compared to the pre-ban and post-relaunch phases for all four commodities barring Chana. The author found that destabilisation hypothesis holds true during the pre ban phase, while weakening of destabilization hypothesis is observed in the post-relaunch phase as unexpected futures liquidity has no role in driving the spot volatility. Originality/value This study is a novel attempt to empirically examine the potential impact of ban and relaunch of futures trading of agriculture commodities on two key market quality dimensions – price discovery and spot volatility. In addition, destabilization hypothesis is revisited to investigate the impact of futures trading on spot volatility during the pre-ban and post-relaunch period.

An empirical note on entrepreneurship and unemployment

2016 ◽  
Vol 5 (1) ◽  
pp. 73-81 ◽  
Author(s):  
Nicholas Apergis ◽  
James E Payne
Keyword(s):  
Error Correction ◽  
Panel Cointegration ◽  
Personal Income ◽  
Entrepreneurial Activity ◽  
Cross Sectional ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
Capita Personal Income

Purpose – The purpose of this paper is to extend the existing literature on the causal dynamics between entrepreneurship and the unemployment rate (UR) in the use of the Kauffman Foundation index of entrepreneurial activity. Design/methodology/approach – Recently developed panel unit root tests with recognition of cross-sectional dependence and panel cointegration/error correction modeling techniques are applied to US States. Findings – The results indicate that the rate of entrepreneurship, the UR, and real per capita personal income are cointegrated. The panel error correction model reveals that bidirectional causality exists among the variables in both the short run and long run. With respect to entrepreneurship, an increase in the UR increases the rate of entrepreneurship, in turn, an increase in the rate of entrepreneurship lowers the UR. Moreover, the results also show a positive bidirectional relationship between the rate of entrepreneurship and real per capita personal income. Originality/value – Unlike other standard measures of entrepreneurship, this is the first empirical study of the causal dynamics between entrepreneurship and the UR using the Kauffman Foundation index of entrepreneurial activity.

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