Even education has its limits: closing the wage gap

2015 ◽  
Vol 42 (5) ◽  
pp. 908-928 ◽  
Author(s):  
Gil S. Epstein ◽  
Dalit Gafni ◽  
Erez Siniver
Keyword(s):  
Ethnic Group ◽  
Work Experience ◽  
Wage Gap ◽  
Economic Outcomes ◽  
Data Set ◽  
Universities And Colleges ◽  
Content Type ◽  
Ethiopian Immigrants ◽  
Unique Data ◽  
Long Run

Purpose – Economic outcomes are compared for university graduates in Israel belonging to four different ethnic groups. A unique data set is used that includes all individuals who graduated with a first degree from universities and colleges in Israel between the years 1995 and 2008 and which tracks them for up to ten years from the year they graduated. The main finding is that education and experience appear to have a strong effect on earnings in the long run and that an ethnic group can improve its position relative to certain groups while there is no effect relative to other groups. The paper aims to discuss these issues. Design/methodology/approach – The authors consider three of the main factors determining the success of assimilation: size of the ethnic group; cultural differences between groups and skin color; and examine how these factors affect economic outcomes. The authors use a unique data set that includes all individuals who graduated with a first degree from universities and colleges in Israel between the years 1995 and 2008. Findings – The results obtained in this study show that on average native Jews attain the best economic outcomes, followed by FSU immigrants, Israeli Arabs and finally Ethiopian immigrants. Education and experience appear to have a strong effect on earnings in the long run. An ethnic group can improve its position relative to other groups as they accumulate work experience. Originality/value – This is the first time that the Ethiopian immigrants where taken into account.

Ethnic concentration and economic outcomes of natives and second-generation immigrants

2016 ◽  
Vol 37 (1) ◽  
pp. 157-187 ◽  
Author(s):  
Emma Neuman
Keyword(s):  
Educational Attainment ◽  
Ethnic Group ◽  
Second Generation ◽  
Social Assistance ◽  
Ethnic Composition ◽  
Economic Outcomes ◽  
Lower Probability ◽  
Content Type ◽  
Second Generation Immigrants ◽  
Long Run

Purpose – The purpose of this paper is to investigate the link between childhood neighbourhood ethnic composition and short- and long-run economic outcomes of second-generation immigrants and natives in Sweden. Design/methodology/approach – The author uses Swedish longitudinal register data and apply regression analysis methods to investigate the correlation between three ethnic neighbourhood variables(share of immigrants, share of immigrants with the same ethnic background and share of immigrants with other descent) in childhood with short- and long-run economic outcomes (earnings, unemployment, reliance on social assistance and educational attainment). Findings – The results show that second-generation immigrants raised in immigrant-dense neighbourhoods have a lower probability to continue to higher education, whereas, their earnings, unemployment and social assistance tendencies are unaffected. On the contrary, natives’ earnings and educational attainment are negatively correlated with, and the probability of social assistance and unemployment are positively associated with a high immigrant concentration. Moreover, the social assistance and unemployment of non-Nordic second-generation immigrants appears to be negatively correlated with the neighbourhood share of co-ethnics and positively correlated with the neighbourhood proportion of other ethnic groups. Overall, the author finds that the results are very similar in the short and long run. Originality/value – This paper expands the literature on children and ethnic segregation and in contrast to earlier research in this context, it focuses on second-generation immigrants and their performance in comparison to natives. This study contributes to this research area by investigating a large variety of outcomes, looking at both immigrant, own ethnic group and other ethnic group concentration and including both short- and long-run correlations.

Temporary migrants and occupational mobility: evidence from the case of Estonia

2014 ◽  
Vol 35 (6) ◽  
pp. 753-775 ◽  
Author(s):  
Jaan Masso ◽  
Raul Eamets ◽  
Pille Mõtsmees
Keyword(s):  
Labour Market ◽  
Work Experience ◽  
Return Migration ◽  
Occupational Mobility ◽  
Upward Movement ◽  
Temporary Migration ◽  
Data Set ◽  
Return Migrants ◽  
Content Type ◽  
Unique Data

Purpose – The purpose of this paper is to investigate the effect of temporary migration on the upward occupational mobility by using a novel database from Estonia. Design/methodology/approach – The authors use a unique data set of the online job search portal of Estonia that includes thousands of employees with foreign work experience. The authors study whether the presence of temporary migration in ones working career is associated with upward movement in the occupational ladder, defined either in terms of wages or required human capital. Findings – The authors did not find any positive effect of temporary migration on upward occupational mobility and in case of females the effect was negative. The results could be related to the short-term nature of migration and the occupational downshifting abroad as well as the functioning of home country labour market. Research limitations/implications – While the uniqueness of the data set is of value, one needs to acknowledge its weaknesses: the job-seekers work histories are self-reported and the authors do not know what information was left out as undesired by applicant. Practical implications – The findings imply that the benefits of temporary migration from Eastern to Western Europe on the sending country via the returnees’ labour market performance might be limited, yet it does not exclude the benefits of return migration through other mechanism. Originality/value – The literature on return migration is not big and there are only a few papers dealing with occupational change or mobility of the return migrants. Compared to earlier studies we have looked at wider set of occupations ranked by different ladders. Using the unique data set the authors have included in the study ca 7,500 return migrants while earlier studies have been based on rather small samples.

Twitter users exhibited coping behaviours during the COVID-19 lockdown: an analysis of tweets using mixed methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal
Keyword(s):  
Data Analysis ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Twitter Data ◽  
Long Run ◽  
The World ◽  
Twitter Users ◽  
The Government ◽  
Using Data

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.

Does credit market inefficiency affect technology adoption? Evidence from Sub-Saharan Africa

2016 ◽  
Vol 76 (4) ◽  
pp. 494-511 ◽  
Author(s):  
Abdul-Hanan Abdallah
Keyword(s):  
Technology Adoption ◽  
Credit Market ◽  
Sub Saharan Africa ◽  
Food Crops ◽  
Agricultural Technologies ◽  
Data Set ◽  
Content Type ◽  
Unique Data ◽  
Market Inefficiency ◽  
Sub Saharan

Purpose The purpose of this paper is to investigate factors affecting the adoption of agricultural technologies in Sub-Saharan Africa, specifically the role of credit market inefficiency in adoption of agricultural technologies in the region. Design/methodology/approach Most importantly, the paper applies a 2SLS model on a unique data set on nine agrarian countries from Sub-Saharan Africa’s intensification of food crops agriculture (Afrint) to provide evidence on how credit market inefficiency affects adoption of technologies in the sub region. Findings The study finds that the relationship between credit and technology adoption is one-way causal relation (i.e. credit access leads to technology adoption) as opposed to a two-way relation (i.e. mutual dependent relation). Further, the results indicate that credit market inefficiency can be a major barrier to the adoption of yield enhancing technologies in Sub-Saharan Africa. Further, the study showed mixed results for household variables. The results give credence to studies that highlight the importance of infrastructure and risk control in the adoption of new technologies. Research limitations/implications The study is limited to only nine countries in Sub-Saharan Africa. Thus, the findings and interpretations should be considered as such. Further, there is the need for further research that considers all the region so as to establish whether or not there is a relationship between credit market inefficiencies and technology adoption in the region. Practical implications The policy implication is that microfinance institutions should consider scaling up their credit services to ensure that more households benefit from it, and in so doing technology adoption will be enhanced. Originality/value The main contribution of the study lies in its use of a unique data set from Sub-Saharan Africa’s intensification of food crops agriculture (Afrint) to investigation relationship between credit market inefficiency and technology adoption.

Rethinking dual careers: success factors for career transition of professional football players and the role of sport entrepreneurship

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ana Sofia Ramos ◽  
Jonas Hammerschmidt ◽  
Antonio Sérgio Ribeiro ◽  
Francisco Lima ◽  
Sascha Kraus
Keyword(s):  
Work Experience ◽  
Success Factors ◽  
Career Transition ◽  
Football Players ◽  
Professional Football ◽  
Dual Career ◽  
Data Set ◽  
Content Type ◽  
Dual Careers ◽  
Athletic Career

PurposeThe purpose of this longitudinal study is to examine the dual career and entrepreneurial experiences of professional football players and their influence on the career transition process to entrepreneurship or employment.Design/methodology/approachThe study examined a Portuguese employer–employee data set from 1991 to 2017 using the logit model, a binary choice regression model that allows predicting the probabilities of two possible qualitative and binary outcomes.FindingsEntrepreneurial experience is the key driver for retired football players to pursue entrepreneurship. Having a dual career and working during the athletic career leads to higher chances of continuing in the labor market as an employee. Higher education levels did not significantly influence the decision to pursue a second career but having secondary education increases the chances of continuing as an entrepreneur.Research limitations/implicationsFirst, the study aims to shed light on success factors in career transition of professional football players who engage in a dual career. Second, the authors introduce sport entrepreneurship as a possible activity alongside an athletic career.Practical implicationsAthletes can benefit from the experience they gain during a dual career in the process of career transition. Working in the final year of an athletic career represents a promising strategy to gain work experience alongside sport without jeopardizing sporting success.Originality/valueThis study adds evidence to the contemporary discourse on dual career theory and career transitions and reconciles the theory of sport entrepreneurship and dual careers.

House price index (HPI) and Covid-19 pandemic shocks: evidence from Turkey and Kazakhstan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yeşim Aliefendioğlu ◽  
Harun Tanrivermis ◽  
Monsurat Ayojimi Salami
Keyword(s):  
Real Estate ◽  
Price Index ◽  
Housing Prices ◽  
House Price ◽  
Monthly Basis ◽  
Data Set ◽  
House Price Index ◽  
Content Type ◽  
Asymmetric Pricing ◽  
Long Run

Purpose This paper aims to investigate asymmetric pricing behaviour and impact of coronavirus (Covid-19) pandemic shocks on house price index (HPI) of Turkey and Kazakhstan. Design/methodology/approach Monthly HPIs and consumer price index (CPI) data ranges from 2010M1 to 2020M5 are used. This study uses a nonlinear autoregressive distributed lag model for empirical analysis. Findings The findings of this study reveal that the Covid-19 pandemic exerted both long-run and short-run asymmetric relationship on HPI of Turkey while in Kazakhstan, the long-run impact of Covid-19 pandemic shock is symmetrical long-run positive effect is similar in both HPI markets. Research limitations/implications The main limitations of this study are the study scope and data set due to data constraint. Several other macroeconomic variables may affect housing prices; however, variables used in this study satisfy the focus of this study in the presence of data constraint. HPI and CPI variables were made available on monthly basis for a considerably longer period which guaranteed the ranges of data set used in this study. Practical implications Despite the limitation, this study provides necessary information for authorities and prospective investors in HPI to make a sound investment decision. Originality/value This is the first study that rigorously and simultaneously examines the pricing behaviour of Turkey and Kazakhstan HPIs in relation to the Covid-19 pandemic shocks at the regional level. HPI of Kazakhstan is recognized in the global real estate transparency index but the study is rare. The study contributes to regional studies on housing price by bridging this gap in the real estate literature.

Economics of savings-based finance: an interest-free model of rotating savings and credit association in Turkey

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusuf Dinç ◽  
Rashed Jahangir ◽  
Ruslan Nagayev ◽  
Fahrettin Çakır
Keyword(s):  
Financial Market ◽  
Design Methodology ◽  
Data Set ◽  
Content Type ◽  
Unique Data ◽  
Credit Associations ◽  
Free Model ◽  
Savings And Credit Associations ◽  
Financing And Investment ◽  
Credit Association

Purpose The emerging markets have been witnessing a remarkable revival of rotating savings and credit associations (ROSCAs) serving as alternative informal financing and investment platforms, also known as savings-based finance (SBF) in Turkey. The purpose of this study is to present the SBF model mathematically, analyse the performance of the SBF sector and propose a new Sharīʿah-compliant SBF model for the acquisition of durables. Design/methodology/approach The paper thoroughly reviews the concept and practice of ROSCA across the globe, mathematically models and empirically analyses the performance of Turkish SBF companies using a unique data set. Findings The study formulates a two-person SBF model and proposes a Mudarabah-Wakalah hybrid model with a new investment feature. It is found that the concept of ROSCA is being operationalized in 105 countries across the globe under different names with slight business model modifications. The research also reveals that the demand for financing of durables in Turkey significantly increased in recent years with the demand for housing is twice greater compared to vehicles. Most importantly, a strong significant inter- and intra-comovement is observed between these durables implying that the success of the sector in one segment has attracted the customers to other SBF products. It shows that the SBF institutions can effectively serve as the alternative financing houses for pooling savings and financing the durables, and they have strong potential to capture a larger financial market share in Turkey and even globally. Originality/value The study constructs mathematical models and proposes a new investment wing to an existing SBF wealth fund.

Long-run relationship between investment and maintenance in local governments

Facilities ◽  
2016 ◽  
Vol 34 (11/12) ◽  
pp. 703-722 ◽  
Author(s):  
Arnt O. Hopland
Keyword(s):  
Local Governments ◽  
Reduced Form ◽  
Public Infrastructure ◽  
Data Set ◽  
Content Type ◽  
Vector Autoregressive ◽  
The Past ◽  
Long Run ◽  
The Relationship ◽  
New Infrastructure

Purpose The purpose of the paper is to analyze the relationship between maintenance of existent and investment in new infrastructure in Norwegian local governments. Design/methodology/approach A reduced form vector autoregressive system is estimated using a 29-year-long panel data set for the Norwegian local governments. Findings The data reveal that increased investment in new infrastructure sparks little, if any, increase in maintenance. The results also indicate that increased maintenance expenditures spark new investments. Because more investments mean more infrastructure and adequate maintenance should give that investments are not caused by maintenance, the results suggest that the local governments have not optimized their maintenance scheduling in this period. Originality/value Even though maintenance and investment are large expenditures that both serve as inputs to the stock of infrastructure, little is known about the relationship between the two. The findings in this paper suggests that Norwegian local governments have not planned their maintenance and investments well in the past, and this can be part of the explanation as to why local public infrastructure in Norway is presently in poor condition.

The colonial exports pattern, institutions and current economic performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tania El Kallab ◽  
Cristina Terra
Keyword(s):  
Human Capital ◽  
Economic Development ◽  
Resource Curse ◽  
Data Set ◽  
Content Type ◽  
Long Run ◽  
French Colonies ◽  
Colonial Institutions ◽  
The Impact

PurposeThis paper explores the role of colonial heritage on long-term economic development from a resource-curse perspective. The authors investigate the impact of colonial exports on long-term economic development through two channels: (1) a direct impact of the economic dependency on natural resources and (2) an indirect impact via its effect on colonial institutions, which persisted over time and influenced current economic development.Design/methodology/approachTo address this issue, the authors use an original data set on French bilateral trade from 1880 to 1912. The authors use partial least square structural equation modeling (PLS-SEM) in the empirical analysis, so that the authors are able to construct latent variables (LVs) for variables that are not directly observable, such as the quality of institutions.FindingsThe authors find that exports of primary goods to France had a negative impact on colonial institutions and that for French colonies, this impact was driven by minerals exports. Despite its impact on colonial institutions, exports of French colonies had no significant indirect impact on their current institutions. The authors find no significant direct impact of colonial trade on current development for French colonies. Finally, colonial exports of manufactured products had no significant impact on colonial institutions among French colonies and a positive impact among non-French ones.Research limitations/implicationsResearch implications regarding the findings of this paper are, namely, that the relative poor performance within French colonies today cannot be attributed to the extraction of raw materials a century ago. However, human capital and institutional development, instead of exports, are more relatively important for long-term growth. Some limitations in trying to determine the simultaneous relationship among colonial trade, institutions and economic performance are the relation between colonial trade and the extent of extraction from the colonizer, which is hard to quantify, as well as its precise mechanism.Practical implicationsSince the initial institutions set in those former colonies presented a strong persistence in the long run, their governments should focus now on building sound and inclusive political and economic institutions, as well as on investing in human capital in order to foster long-term growth. Once a comprehensive set of institutional and human resources are put in place, the quality and quantity of exports might create a positive spillover on the short-run growth.Social implicationsOne social implication that can be retrieved from this study is the ever-lasting effect of both human capital investment and introduction of inclusive political and economic institutions on the long-run impact of growth.Originality/valueThe paper uses an original primary data set from archival sources to explore the role of colonial heritage on long-term economic development from a resource-curse perspective. It applies a relatively new model partial least squares path modeling (PLS-PM) that allows the construction of LVs for variables that are not directly observable, as well as channeling the impact on growth through both direct and indirect channels. Finally, it allows for the simultaneous multigroup analysis across different colonial groups.

Cointegration-causality analysis between terrorism and key macroeconomic indicators

2014 ◽  
Vol 41 (8) ◽  
pp. 664-682 ◽  
Author(s):  
Aisha Ismail ◽  
Shehla Amjad
Keyword(s):  
Research Work ◽  
Cointegration Analysis ◽  
Gdp Per Capita ◽  
Gdp Growth ◽  
Data Set ◽  
Content Type ◽  
Long Run ◽  
Macroeconomic Indicators ◽  
Per Capita ◽  
The Relationship

Purpose – The purpose of this paper is two folds: first, to analyze the long-run relationship between terrorism and key macroeconomic indicators (GDP growth, GDP per capita, inflation and unemployment) and second, to determine the direction of causality between these variables in Pakistan. Design/methodology/approach – The relationship between terrorism and various macroeconomic indicators is analyzed by applying Johansen cointegration analysis. Furthermore, the causality between terrorism and macroeconomic indicators is tested by applying Toda Yamamoto Granger causality test. Findings – The results show that there exists a long-run relationship between terrorism and key macroeconomic indicators. Furthermore, the results suggest that there exists a bi-directional causality between terrorism and inflation. The causality between GDP per capita, unemployment, GDP growth and terrorism is unidirectional. Originality/value – There is a lack of research work conducted to analyze the long-run relationship and direction of causation between terrorism and various macroeconomic indicators specifically for Pakistan. The current paper fills the gap in the literature by using sophisticated econometric techniques and recent data set to provide the evidence of the relationship between terrorism and various macroeconomic indicators.

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