scholarly journals Spatial income inequality in Toronto: a longitudinal study

2021 ◽  
Author(s):  
Candace Safonovs
Keyword(s):  
Income Inequality ◽  
Fixed Effects ◽  
Spillover Effects ◽  
Spatial Inequality ◽  
Income Segregation ◽  
Inequality Measures ◽  
Housing Characteristics ◽  
Fixed Effects Panel Regression ◽  
Macro Scale ◽  
Housing Regulation

This paper examines the trends and changes in both spatial and non-spatial income inequality in the Toronto CMA between 1985 and 2015 at various geographic scales, including both within and between neighbourhoods. Fixed effects panel regression models are used to uncover which local demographic and housing characteristics are most significant in explaining changes in inequality within neighbourhoods over time. Findings indicate that macro-scale income segregation among neighbourhoods has declined, while micro-scale intra-neighbourhood income segregation has increased since 1985. Further, compared to overall changes in income inequality in the region, neighbourhoods have become more homogenous in terms of their household income distribution. Thus, neighbourhood sorting by households based on income has increased since 1985. Consistent with extant literature, local housing characteristics have spillover effects on income segregation. Specifically, variables associated with greater housing affluence are negatively correlated with intra-neighbourhood inequality measures, and thus positively correlated with income homogenization. This confirms and adds to the literature that local land use regulations impact income spatial inequality. KEYWORDS Spatial Income Inequality; Segregation; Neighbourhoods; Toronto CMA; Fixed Effects Models; Quantitative Analysis; GIS; Housing Regulation

scholarly journals Spatial income inequality in Toronto: a longitudinal study

2021 ◽  
Author(s):  
Candace Safonovs
Keyword(s):  
Income Inequality ◽  
Fixed Effects ◽  
Spillover Effects ◽  
Spatial Inequality ◽  
Income Segregation ◽  
Inequality Measures ◽  
Housing Characteristics ◽  
Fixed Effects Panel Regression ◽  
Macro Scale ◽  
Housing Regulation

This paper examines the trends and changes in both spatial and non-spatial income inequality in the Toronto CMA between 1985 and 2015 at various geographic scales, including both within and between neighbourhoods. Fixed effects panel regression models are used to uncover which local demographic and housing characteristics are most significant in explaining changes in inequality within neighbourhoods over time. Findings indicate that macro-scale income segregation among neighbourhoods has declined, while micro-scale intra-neighbourhood income segregation has increased since 1985. Further, compared to overall changes in income inequality in the region, neighbourhoods have become more homogenous in terms of their household income distribution. Thus, neighbourhood sorting by households based on income has increased since 1985. Consistent with extant literature, local housing characteristics have spillover effects on income segregation. Specifically, variables associated with greater housing affluence are negatively correlated with intra-neighbourhood inequality measures, and thus positively correlated with income homogenization. This confirms and adds to the literature that local land use regulations impact income spatial inequality. KEYWORDS Spatial Income Inequality; Segregation; Neighbourhoods; Toronto CMA; Fixed Effects Models; Quantitative Analysis; GIS; Housing Regulation

Do Economic Inequalities Harm Health? Evidence from Europe

2012 ◽  
Author(s):  
Jean-Michel Etienne ◽  
Ali Skalli ◽  
Ioannis Theodossiou
Keyword(s):  
Health Status ◽  
Income Inequality ◽  
European Community ◽  
Fixed Effects ◽  
Objective Measures ◽  
Reference Groups ◽  
Self Assessment ◽  
Random Effects Models ◽  
Inequality Measures ◽  
Country Level

Using the European Community Household Panel (1994-2001), random effects models are estimated to assess the effect of income inequality on individuals' health. The individual's health status is measured by self assessment responses and by relatively objective measures of health. Country-level inequality measures are used after controlling for regional fixed effects. This implies that country level factors are the relevant approximations of individuals' reference groups. The results suggest that income inequality harms not only the health of the least well off but also the health of all individuals regardless of their position in the income distribution.

Linked in Life and Death: A Note on the Effect of Parental Death on Sibling Relations in Young and Middle Adulthood

2021 ◽  
pp. 0192513X2098556
Author(s):  
Karsten Hank
Keyword(s):  
Family Relationships ◽  
Fixed Effects ◽  
Family System ◽  
Parental Death ◽  
Spillover Effects ◽  
Three Dimensions ◽  
Life And Death ◽  
Sibling Relations ◽  
Fixed Effects Regression ◽  
Parent Child

Despite the important role of adult parent–child and sibling relations in the family system, only few studies have investigated yet, how the common adult experience of parental death impacts sibling relations. Estimating fixed-effects regression models using four waves of data from the German Family Panel (pairfam; n = 4,123 respondents), the present note focused on changes in three dimensions of adult siblings’ relationship qualities following the first parent’s death. Our analysis revealed a short-term positive effect of parental death on sibling contacts as well as longer-lasting increases in emotional closeness and conflicts. Next to an intensification of sibling relations following the first parent’s death, we also detected significant spillover effects from respondents’ relationship with the surviving parent to their sibling relations. Our analysis thus provided evidence for adult parent–child and sibling relations to be “linked in life and death,” underlining the benefits of jointly analyzing intra- and intergenerational family relationships.

scholarly journals German forecasters’ narratives: How informative are German business cycle forecast reports?

2021 ◽  
Author(s):  
Karsten Müller
Keyword(s):  
Business Cycle ◽  
Fixed Effects ◽  
Predictive Power ◽  
Recursive Estimation ◽  
Regression Methods ◽  
Inflation Forecasts ◽  
Fixed Effects Panel Regression ◽  
Weak Evidence ◽  
Out Of Sample ◽  
Different Characteristics

AbstractBased on German business cycle forecast reports covering 10 German institutions for the period 1993–2017, the paper analyses the information content of German forecasters’ narratives for German business cycle forecasts. The paper applies textual analysis to convert qualitative text data into quantitative sentiment indices. First, a sentiment analysis utilizes dictionary methods and text regression methods, using recursive estimation. Next, the paper analyses the different characteristics of sentiments. In a third step, sentiment indices are used to test the efficiency of numerical forecasts. Using 12-month-ahead fixed horizon forecasts, fixed-effects panel regression results suggest some informational content of sentiment indices for growth and inflation forecasts. Finally, a forecasting exercise analyses the predictive power of sentiment indices for GDP growth and inflation. The results suggest weak evidence, at best, for in-sample and out-of-sample predictive power of the sentiment indices.

scholarly journals From Micro to Macro: Exploring Preference-Based Person Centered Care from Multiple Perspectives

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 836-836
Author(s):  
Katherine Abbott ◽  
Kristine Williams
Keyword(s):  
Nursing Home ◽  
Assisted Living ◽  
Fixed Effects ◽  
Nursing Home Residents ◽  
Direct Care ◽  
Multiple Perspectives ◽  
Person Centered Care ◽  
Fixed Effects Panel Regression ◽  
Centered Care ◽  
The Impact

Abstract Advancing our knowledge related to honoring nursing home resident preferences is a cornerstone of person-centered care (PCC). While there are multiple approaches to providing PCC, we focus on resident preferences as assessed via the Preferences for Everyday Living Inventory (PELI). The PELI is an evidenced-based, validated instrument that can be used to enhance the delivery of PCC. In this symposium, we explore the perspectives of a variety of stakeholders including nursing home residents, staff, and the impact of preference-based care on provider level regulatory outcomes. First, we present a comparative study of preference importance among n=317 African America and White nursing home residents that found more similarities than differences between the two groups. Second, a content analysis of the responses from n=196 interviews with nursing home residents details the barriers and facilitators connected to their levels of satisfaction with their preferences being fulfilled. Third, perspectives from n=27 direct care workers explore the concept of pervasive risk avoidance to the delivery of PCC. Fourth, systems-level practices, such as shift assignments and provider schedules are identified as barriers to successfully fulfilling resident preferences from the perspectives of n=19 staff within assisted living. Our final presentation utilizes a fixed-effects panel regression analysis with n=551 Ohio nursing home providers to explore the impact of PELI use on regulatory outcomes such as substantiated complaints and deficiency scores reported in the CMS Nursing Home Compare data. Discussant Dr. Kristi Williams will integrate findings, highlighting implications for policy, practice, and future directions. Research in Quality of Care Interest Group Sponsored Symposium.

South Africa’s increasing climate variability and its effect on food production

2021 ◽  
pp. 003072702110049
Author(s):  
Mashudu Tshikovhi ◽  
Roscoe Bertrum van Wyk
Keyword(s):  
South Africa ◽  
Climate Variability ◽  
Food Production ◽  
Fixed Effects ◽  
Crop Yields ◽  
Negative Impact ◽  
Secondary Data ◽  
Mean Annual Temperature ◽  
Fixed Effects Panel Regression ◽  
The Impact

This study examines the impact of increasing climate variability on food production in South Africa, focusing on maize and wheat yields. A two-way fixed effects panel regression model was used to assess the climate variability impacts, analysing secondary data for the period 2000 to 2019 for nine provinces in South Africa. The study found that increasing climate variability has a negative impact on maize and wheat production in South Africa. Specifically, the results indicated a negative correlation between mean annual temperature with both maize and wheat yields. A decrease in precipitation affected maize yields negatively, while the impact on wheat yields was positive, although insignificant. This analysis, therefore, depicted that crop yields generally increase with more annual precipitation and decrease with higher temperatures. The study recommends that funding initiatives to educate farmers on increasing climate variability and its effects on farming activities in South Africa should be prioritised.

scholarly journals Income Inequality and Population Health: A Global Gradient?

2018 ◽  
Vol 59 (4) ◽  
pp. 536-553 ◽  
Author(s):  
Michaela Curran ◽  
Matthew C. Mahutga
Keyword(s):  
Economic Development ◽  
Income Inequality ◽  
Population Health ◽  
Fixed Effects ◽  
Harmful Effect ◽  
Fixed Effects Models ◽  
Two Measures ◽  
The Relationship ◽  
Lower Population ◽  
Cross National

Cross-national empirical research about the link between income inequality and population health produces conflicting conclusions. We address these mixed findings by examining the degree to which the income inequality and health relationship varies with economic development. We estimate fixed-effects models with different measures of income inequality and population health. Results suggest that development moderates the association between inequality and two measures of population health. Our findings produce two generalizations. First, we observe a global gradient in the relationship between income inequality and population health. Second, our results are consistent with income inequality as a proximate or conditional cause of lower population health. Income inequality has a 139.7% to 374.3% more harmful effect on health in poorer than richer countries and a significantly harmful effect in 2.1% to 53.3% of countries in our sample and 6.6% to 67.6% of the world’s population but no significantly harmful effect in richer countries.

scholarly journals Is X-ray Exposure Related to Dentist Remuneration?

2021 ◽  
Author(s):  
Olivier Kalmus ◽  
Martin Chalkley ◽  
Stefan Listl
Keyword(s):  
Health Care Providers ◽  
Fixed Effects ◽  
Adult Population ◽  
Common Source ◽  
Fee For Service ◽  
X Rays ◽  
Care Providers ◽  
X Ray ◽  
Fixed Effects Panel Regression ◽  
Provider Payment

Abstract Background: In many market settings individuals are encouraged to switch health care providers as a means of ensuring more competition. Switching may have a potentially undesirable side effect of increasing unnecessary treatment. Focusing on the most common source of medical radiation (dental X-rays), the purpose of this study was to assess whether, upon switching dentist, X-ray exposure increases depending on the type of provider payment. Methods: The analysis used longitudinal data from 2005 to 2016 covering a 5% random sample of the Scottish adult population covered by the National Health Service (NHS). Multiple fixed-effects panel regression analyses were employed to determine the correlation of provider remuneration with patients' likelihood of receiving an X-ray upon switching to a new dentist other things equal. A broad set of covariates including a patient’s copayment status was controlled for. Results: Upon switching to a dentist who was paid fee-for-service, patients had a by 9.6 %-points (95% CI: 7.4%-11.8%) higher probability of receiving an X-ray, compared to switching to a salaried dentist. Results were robust when accounting for patient exemption status, as well as unobserved patient and dentist characteristics. Conclusions: In comparison to staying with the same dentist, patients may be exposed to substantially more X-rays upon switching to a dentist who is paid fee-for-service. There may need to be better guidance and regulation to protect the health of those who have to switch provider due to moving and greater caution in advocating voluntary switching.

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