scholarly journals Income Mobility and Moving to a Better Neighbourhood: An Enquiry into Ethnic Differences in Finland

2019 ◽  
Vol 35 (4) ◽  
pp. 538-551 ◽  
Author(s):  
Maria Vaalavuo ◽  
Maarten van Ham ◽  
Timo M Kauppinen

Abstract The spatial concentration of immigrants in disadvantaged neighbourhoods may hinder their opportunities for social and economic integration. It is therefore important that immigrants can translate their available economic resources into mobility to less disadvantaged neighbourhoods. This study adds to existing research on the relationship between socioeconomic and spatial integration by focusing on the effects of income mobility on residential mobility. We analyse intra-urban residential mobility from low-income neighbourhoods into non-low-income neighbourhoods among immigrants and native-born residents in three urban regions in Finland. We use longitudinal register data for the 2004–2014 period for the full population, allowing a dynamic analysis of changes in income and neighbourhood of residence. Based on fixed-effects multinomial logit modelling of residential outcomes, we found that upward income mobility is connected to exit from low-income areas, but the effect is stronger among the native-born Finns than among those with an immigrant background. This stronger effect for natives is in contrast to findings of previous European studies, suggesting that these might have been influenced by unobserved individual-level heterogeneity. Our findings imply that both policies improving labour market opportunities of immigrants and policies reducing constraints for spatial integration are needed if the aim is to decrease ethnic residential segregation.

2017 ◽  
Vol 57 (6) ◽  
pp. 1150-1190 ◽  
Author(s):  
Saurav Pathak ◽  
Etayankara Muralidharan

This article explores the extent to which income inequality and income mobility—both considered indicators of economic inequality and conditions of formal regulatory institutions (government activism)—facilitate or constrain the emergence of social entrepreneurship. Using 77,983 individual-level responses obtained from the Global Entrepreneurship Monitor (GEM) survey of 26 countries, and supplementing with country-level data obtained from the Global Competitiveness Report of the World Economic Forum, our results from multilevel analyses demonstrate that country-level income inequality increases the likelihood of individual-level engagement in social entrepreneurship, while income mobility decreases this likelihood. Further, income mobility negatively moderates the influence of income inequality on social entrepreneurship, such that the condition of low income mobility and high income inequality is a stronger predictor of social entrepreneurship. We discuss implications and limitations of our study, and we suggest avenues for future research.


Urban Science ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 79
Author(s):  
Sohyun Park ◽  
Aram Yang ◽  
Hui Jeong Ha ◽  
Jinhyung Lee

Social mixing is one of the key objectives of the housing policy in OECD countries. The Low-Income Housing Tax Credit (LIHTC) program, the largest affordable housing construction program in the US since 1986, has recently set creating mixed-income communities as one of the standards. As a project-based program, LIHTC developments are likely to influence residential mobility; however, little is known about its empirical effects. This study investigated whether new LIHTC projects are effective at attracting heterogeneous income groups to LIHTC neighborhoods, thereby contributing to creating mixed-income communities. Using unique individual-level household movement data combined with origin–destination neighborhood characteristics, we developed zero-inflated negative binomial (ZINB) models to analyze the LIHTC’s impact on residential mobility patterns in Franklin County, Ohio, US, from 2011 to 2015. The results suggest that the LIHTC attracts low-income households while deterring higher-income families, and therefore the program is not proved to be effective at creating mixed-income neighborhoods.


Author(s):  
Joan Hamory ◽  
Marieke Kleemans ◽  
Nicholas Y Li ◽  
Edward Miguel

Abstract Recent research has pointed to large gaps in labor productivity between the agricultural and non-agricultural sectors in low-income countries, as well as between workers in rural and urban areas. Most estimates are based on national accounts or repeated cross-sections of microsurvey data, and as a result typically struggle to account for individual selection between sectors. This paper uses long-run individual-level panel data from two low-income countries (Indonesia and Kenya) to explore these gaps. Accounting for individual fixed effects leads to much smaller estimated productivity gains from moving into the non-agricultural sector (or urban areas), reducing estimated gaps by roughly 67%–92%. Furthermore, gaps do not emerge up to 5 years after a move between sectors. We evaluate whether these findings imply a re-assessment of the conventional wisdom regarding sectoral gaps, discuss how to reconcile them with existing cross-sectional estimates, and consider implications for the desirability of sectoral reallocation of labor.


Urban Studies ◽  
2019 ◽  
Vol 57 (13) ◽  
pp. 2663-2680
Author(s):  
Haley McAvay

This paper uses a large-scale longitudinal data set from France over a 23-year period (1990–2013) to investigate the links between socioeconomic status and long-term exposure to disadvantaged neighbourhoods. The findings show that while local environments tend to be durable over the life course, higher income substantially reduces the risk of staying in spaces with high unemployment over time. The negative effect of income on the transmission of disadvantage is found regardless of immigrant background. However, a specific form of socio-spatial disadvantage is observed for low-income children of non-European immigrant(s), who experience a greater degree of exposure to high unemployment areas from childhood to adulthood than any other group. These findings make a new contribution to emerging research on intergenerational contextual mobility by documenting the moderating effect of income and immigrant origin on the transmission of spatial disadvantage.


2018 ◽  
Vol 28 (3) ◽  
pp. 79-94
Author(s):  
Mi Kang ◽  
Jae Woo Lee

2021 ◽  
pp. 135406882110119
Author(s):  
Matthew Polacko

Previous research into the relationship between income inequality and turnout inequality has produced mixed results, as consensus is lacking whether inequality reduces turnout for all income groups, low-income earners, or no one. Therefore, this paper builds on this literature by introducing supply-side logic, through the first individual-level test of the impact that income inequality (moderated by policy manifesto positions) has on turnout. It does so through multilevel logistic regressions utilizing mixed effects, on a sample of 30 advanced democracies in 102 elections from 1996 to 2016. It finds that higher levels of income inequality significantly reduce turnout and widen the turnout gap between rich and poor. However, it also finds that when party systems are more polarized, low-income earners are mobilized the greatest extent coupled with higher inequality, resulting in a significantly reduced income gap in turnout. The findings magnify the negative impacts income inequality can exert on political behavior and contribute to the study of policy offerings as a key moderating mechanism in the relationship.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Davis

Abstract Achieving a long-lasting impact on health outcomes requires focus not just on patient care, but also on community approaches aimed at improving population health through addressing gaps in Social Determinants of Health (SDOH). SDOH have been found to disproportionately affect those in low-income brackets and the disabled to varying degrees based on locale. The purpose of this exploratory research was to determine 1) which SDOH have the greatest negative impact on disabled and elderly populations within four targeted states (Iowa, Ohio, Minnesota, Wisconsin) and 2) if there is a difference in negative SDOH impact between metro and non-metro locales. Individual-level data were obtained from disabled persons aged 65 years or older who responded to the Centers for Disease Control and Prevention's 2017 Behavioral Risk Factor Surveillance System (BRFSS) survey. Utilizing these data, frequency distributions were obtained using SPSS. Rank order variation in SDOH was observed among four Midwestern states and between metro vs. non-metro geographic regions. Frequency distributions assisted in identifying the greatest negative impacting SDOH on elderly disabled populations. An examination of the rank order tables allowed the investigator to accurately assess the rank of negative impacts. There were variabilities in responses to questions with moving two or more times within 12 months having the lowest negative impact. When regrouped based upon SDOH negative impacts, were you able to pay your bills was the most frequent SDOH across all states. Feeling unsafe or extremely unsafe in your neighborhood was the highest negatively impacted SDOH within states. Cited determinants in three categories were highest in Ohio. Ohio also had the highest proportion of negatively impacted SDOH across all states. No money for balanced meals was a close second SDOH across states. Key messages Social Determinants Impacting Elderly Disabled. Impact of Social Determinants by Geography.


2013 ◽  
Vol 25 (1) ◽  
pp. 89-118 ◽  
Author(s):  
John C. Paolillo

AbstractIndividual-level variation is a recurrent issue in variationist sociolinguistics. One current approach recommends addressing this via mixed-effects modeling. This paper shows that a closely related model with fixed effects for individual speakers can be directly estimated using Goldvarb. The consequences of employing different approaches to speaker variation are explored by using different model selection criteria. We conclude by discussing the relation of the statistical model to the assumptions of the research design, pointing out that nonrandom selection of speakers potentially violates the assumptions of models with random effects for speaker, and suggesting that a model with fixed effects for speakers may be a better alternative in these cases.


2021 ◽  
Author(s):  
Eduardo Tapia

Previous studies show households' selective residential mobility as a principal cause of residential segregation. However, a less studied aspect of residential segregation has been how foreign newcomers affect those mobility patterns and consequently residential segregation trends. This paper extends previous investigations by evaluating the effects of newly arrived immigrants on ethnic residential segregation from a dynamic perspective. Unlike previous studies, this study analyzes newcomers' neighborhood choices together with their direct, indirect, and cumulative effects on segregation. Results show that immigrant settlements not only exacerbate residential segregation by landing in already segregated areas (direct effect) but by triggering segregating promoting movements in households living in destination neighborhoods (undirect effect). Both results contribute to producing a higher level of segregation compared with a situation where newcomers would have been randomly allocated across the residential areas (cumulative effect). These findings highlight the importance of reception strategies in host cities to palliate segregation levels and demonstrates its cumulative effects.


2021 ◽  
Author(s):  
◽  
Jaime Lancaster

<p>This thesis expands the literature on minimum and living wages by investigating local minimum wage ordinances and voluntary living wage programs. This thesis is presented as three distinct papers; the first explores a county-wide minimum wage ordinance in New Mexico, USA, while papers 2 and 3 explore New Zealand’s voluntary living wage program. In the United States, local minimum wage ordinances are growing in popularity, and research is emerging on their effects. Setting minimum wages at the local level is politically easier than enacting Federal legislation, and local minimum wages may be better targeted to local economic conditions. In my first chapter, “Local Minimum Wage Laws and Labour Market Outcomes: Evidence from New Mexico,” I use fixed effects and synthetic control analysis to uncover the effects of a local minimum wage law on the Albuquerque/Bernalillo region of New Mexico, with a focus on how provisions exempting tipped workers affect gains in earnings. My findings reveal that these provisions can lead to reductions in hourly wages for workers exempted from the minimum wage even when the labour market is not harmed overall. I find that the minimum wage ordinance did not reduce teen employment but that it served to increase the supply of teen labour leading to an increase in the teen unemployment rate.  The second and third papers in this thesis address the voluntary living wage program in New Zealand. In the first quantitative work on New Zealand’s living wage, I utilize data from Statistics New Zealand’s Integrated Data Infrastructure (IDI) to explore several facets of the living wage experience for employers and employees. In the second paper, “The New Zealand Living Wage: Earnings, Labour Costs and Turnover,” I investigate the characteristics of New Zealand living wage firms and use fixed effects to examine the impact of living wage certification on employment, worker earnings and turnover. My results provide some evidence for increases in labour costs and worker earnings following certification but find that this change is driven by changes in small firms that employ few workers. I find no evidence of a reduction in turnover.  In my final chapter, “Who Benefits from Living Wage Certification?” I investigate the distribution of benefits from the living wage based on an employees’ pre-treatment earnings, time of hire and whether or not they remained employed with the living wage firm. To do this, I utilize a worker-level panel dataset containing the full earnings history of all workers that were employed for a living wage or matched control firm between January 2014 and December 2015. I use fixed effects models containing fixed effects for worker, firm and month to compare patterns of earnings growth for workers hired before certification (‘pre-hires’) with those hired after certification (‘joiners’) and those who left their living wage job but remained in the workforce (‘leavers’). I also estimate the impact of living wage employment on the earnings of low-income workers. I find that the financial benefit of the living wage accrues almost exclusively to workers hired after certification and to low income workers. In addition, my analysis on the worker-level panel suggests that overall earnings growth in living wage firms lagged that in control firms over the observation period. This result is driven by relative declines in earnings for living wage workers in large firms and is attributed to increases in the published living wage rate that lags behind wage growth in the relevant segments of the job market.</p>


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