scholarly journals Distributional effects of macroeconomic shocks in real-time

2021 ◽  
Author(s):  
Kerstin Bruckmeier ◽  
Andreas Peichl ◽  
Martin Popp ◽  
Jürgen Wiemers ◽  
Timo Wollmershäuser
Keyword(s):  
Real Time ◽  
Labor Demand ◽  
Time Lags ◽  
Demand Model ◽  
Macroeconomic Shocks ◽  
Policy Makers ◽  
Household Level ◽  
Policy Responses ◽  
Level Data ◽  
Household Incomes

AbstractThe highly dynamic nature of the COVID-19 crisis poses an unprecedented challenge to policy makers around the world to take appropriate income-stabilizing countermeasures. To properly design such policy measures, it is important to quantify their effects in real-time. However, data on the relevant outcomes at the micro level is usually only available with considerable time lags. In this paper, we propose a novel method to assess the distributional consequences of macroeconomic shocks and policy responses in real-time and provide the first application to Germany in the context of the COVID-19 pandemic. Specifically, our approach combines different economic models estimated on firm- and household-level data: a VAR-model for output expectations, a structural labor demand model, and a tax-benefit microsimulation model. Our findings show that as of September 2020 the COVID-19 shock translates into a noticeable reduction in gross labor income across the entire income distribution. However, the tax benefit system and discretionary policy responses to the crisis act as important income stabilizers, since the effect on the distribution of disposable household incomes turns progressive: the bottom two deciles actually gain income, the middle deciles are hardly affected, and only the upper deciles lose income.

Middle and Below Living Standards: What Can We Learn from Beyond Income Measures of Economic Well-being?

2018 ◽  
Author(s):  
Marii Paskov ◽  
Joan E. Madia ◽  
Tim Goedemé
Keyword(s):  
Well Being ◽  
Material Deprivation ◽  
Living Standards ◽  
Household Level ◽  
The Great Recession ◽  
Level Data ◽  
Working Age ◽  
Household Incomes ◽  
The Relationship ◽  
Economic Well Being

This chapter complements the income-based measures of living standards on which earlier chapters have focused by incorporating non-income dimensions of economic well-being into its analysis, including indicators of material deprivation, economic burdens, and financial stress. It analyses how working-age households around and below the middle of the income distribution fared in European countries in the years before, during, and after the Great Recession. Harmonized household-level data across the members of the EU are analysed to see whether the evolution of these various non-income measures present a similar or different picture to household incomes over time. To probe what lies behind the patterns this reveals, four quite different countries are then examined in greater depth. Finally, the chapter also explores the relationship between material deprivation for households around and below the middle and overall income inequality.

More on the Impact of Economic Freedom on the Black–White Income Gap

2016 ◽  
Vol 46 (2) ◽  
pp. 205-223 ◽  
Author(s):  
Gary A. Hoover ◽  
Ryan A. Compton ◽  
Daniel C. Giedeman
Keyword(s):  
Household Income ◽  
Economic Freedom ◽  
Black Household ◽  
Household Level ◽  
Black And White ◽  
White Household ◽  
Level Data ◽  
Household Incomes ◽  
The Impact ◽  
Positive Effect

Using household-level data from 1980 to 2010, we examine whether economic freedom, as measured by the Economic Freedom of North America Index, has similar effects on white household income as it does on black household income. Our findings suggest that the positive effect of economic freedom found in most studies affects black households less than white households. Further, using the Oaxaca decomposition, our results show that economic freedom is an important factor explaining the gap between black and white household incomes.

scholarly journals Assessing Progress in Implementing Uganda’s Nutrition Action Plan

2016 ◽  
Vol 37 (4_suppl) ◽  
pp. S142-S150 ◽  
Author(s):  
Edgar Agaba ◽  
Amanda Pomeroy-Stevens ◽  
Shibani Ghosh ◽  
Jeffrey K. Griffiths
Keyword(s):  
Child Nutrition ◽  
Dietary Diversity ◽  
Action Plan ◽  
Policy Makers ◽  
Household Level ◽  
Scarce Resources ◽  
Maternal And Child Nutrition ◽  
Level Data ◽  
Women And Children ◽  
Key Indicators

Background: The 2011 Uganda Nutrition Action Plan (UNAP) established 2016 maternal and child nutrition targets. However, there is a lack of routine district-level data collection to assess UNAP implementation. Objective: To use Nutrition Innovation Lab (NIL) data to inform policy makers on the progress of UNAP-related indicators. Methods: The NIL collected serial household-level survey data (n = 3600) in 6 districts, including 2 UNAP implementation districts, in 2012 and 2014. Questionnaires focused on food security, nutrition, and health, among others, and included specific indicators relevant to UNAP’s targets. Results: In 2012, outcomes in Kisoro and Lira districts were below national average for some UNAP key indicators, including dietary diversity and anemia prevalence, but above average for others (exclusive breastfeeding and underweight among women and children). The prevalence of child stunting was higher than national averages in Kisoro but below national averages in Lira. In 2014, anemia among women and children decreased significantly. Kisoro also saw improvements in several other UNAP target indicators including underweight, breastfeeding, and stunting. Conclusion: Although the study showed improvements in key UNAP indicators, there is a need to invest in appropriate methods to gauge its progress because the NIL was not designed to assess UNAP. Since the quality of implementation of complex multisectoral programs can differ widely across different contexts, it is critical that effective monitoring of progress be part of such programs. National endorsement of nutrition plans doesn’t in itself result in desired outcomes, hence, the allocation of scarce resources has to be based on rigorous evidence.

scholarly journals Young Australians living with parents: free and pay board as popular housing tenure choices

2021 ◽  
Author(s):  
Jason Chia ◽  
Isil Erol
Keyword(s):  
Young Adults ◽  
Personal Characteristics ◽  
Housing Tenure ◽  
Policy Makers ◽  
Never Married ◽  
Household Level ◽  
Individual Level ◽  
Elderly Parents ◽  
Level Data ◽  
High Earning

AbstractYoung adults staying with parents is definitely a growing housing tenure in Australia. This paper, for the first time, unearths individual-level housing tenure choices of young Australians from the household-level data of owning/renting from the 2017 Household Income and Labour Dynamics in Australia survey. In addition to owner-occupation and private rental, the paper explores the influence of personal characteristics on two types of multigenerational co-residence: young adults who live with parents rent-free and pay board. The results show that, in Australia, young women are more independent in their housing tenure choices (i.e., owning and renting) in comparison to young men. There is a growing trend towards mature and high-earning young people living with parents for free, which might be explained by the aim of saving money to buy a house or investment property and also care arrangements for their elderly parents. Marital status has also a significant effect on housing tenure choices. Never married young adults prefer to live with parents either for free or pay board; while those divorced/separated or widowed prefer to rent privately to maintain their residential independency, after life circumstances changed. This study informs policy makers to provide more support to young adults in a fully or partly independent housing tenure (renting and paying board) in assisting them to climb up the housing career ladder—becoming a homeowner.

scholarly journals Analysis of Tobacco Price Elasticity in Albania Using Household Level Data

2020 ◽  
Vol 17 (2) ◽  
pp. 432 ◽  
Author(s):  
Aida Gjika ◽  
Edvin Zhllima ◽  
Klodjan Rama ◽  
Drini Imami
Keyword(s):  
Price Elasticity ◽  
Tobacco Consumption ◽  
Living Standard ◽  
Demand Model ◽  
Middle Income ◽  
Female Ratio ◽  
Household Level ◽  
Middle Income Countries ◽  
Level Data ◽  
Quality Choice

This paper analyzes the determinant factors of tobacco consumption in Albania, which is one of the countries with the highest smoking prevalence in Europe. To empirically estimate the elasticity of cigarettes demand in Albania, the paper uses the Living Standard Measurement Survey (LSMS) applying Deaton’s (1988) demand model. This paper estimates an Almost Ideal Demand System (AIDS), which allows disentangling quality choice from exogenous price variations using unit values from cigarette consumption. Following Deaton’s model, the results suggest that the demand for tobacco is inelastic, with a price elasticity of −0.57. The price elasticity appears to be within the range of elasticity estimates frequently reported for low- and middle-income countries. The results suggest that total expenditure, household size, male-to-female ratio, and adult ratio are important determinants of tobacco demand in Albania. The increase in the tobacco price, which has been mainly driven by increased excises, has demonstrated a significant impact on reducing tobacco consumption. Consequently, the Albanian government may engage in gradual increases in excise taxes given the inelastic tobacco demand.

Hasty Pudding Versus Tasty Bread: Regional Variations in Diet and Nutrition during the Industrial Revolution

2012 ◽  
pp. 9-30 ◽  
Author(s):  
Sara Horrell ◽  
Deborah Oxley
Keyword(s):  
Dairy Products ◽  
Industrial Revolution ◽  
Local Economy ◽  
Household Level ◽  
Level Data ◽  
Other Information ◽  
Level Information ◽  
Local Supply ◽  
Key Aspects ◽  
Nutritional Score

Using parish-level information from Sir F.M. Eden's The state of the poor (1797) we can identify typical diets for the counties of England. These diets varied considerably and afforded very different standards of nutrition. We compute a nutritional score for this diet, paying attention to the presence of vitamins, minerals and micronutrients shown to be essential for health and growth in constructing this measure. Other information in the reports allows us to relate county-level nutrition to factors in the local economy. In particular we find nutrition was positively related to the availability of common land in the area and to women's remunerated work if conducted from home. Lack of common land and little local supply of dairy products also pushed households into buying white wheaten bread rather than baking their own wholemeal loaf. Replicating some of this analysis with household-level data confirms these results. Diet also maps onto stature: male convicts to Australia were significantly taller if they originated in a county with a more nutritious diet. This verifies the important impact of nutrition on stature and demonstrates the sensitivity of height as a measure of key aspects of welfare.

scholarly journals Self-Regulating Demand and Supply Equilibrium in Joint Simulation of Travel Demand and a Ride-Pooling Service

2021 ◽  
pp. 036119812199714
Author(s):  
Gabriel Wilkes ◽  
Roman Engelhardt ◽  
Lars Briem ◽  
Florian Dandl ◽  
Peter Vortisch ◽  
...  
Keyword(s):  
Real Time ◽  
Travel Demand ◽  
State Of The Art ◽  
Choice Model ◽  
Mode Choice ◽  
Attractive Alternative ◽  
Full Potential ◽  
Demand Model ◽  
Modeling Framework ◽  
Demand And Supply

This paper presents the coupling of a state-of-the-art ride-pooling fleet simulation package with the mobiTopp travel demand modeling framework. The coupling of both models enables a detailed agent- and activity-based demand model, in which travelers have the option to use ride-pooling based on real-time offers of an optimized ride-pooling operation. On the one hand, this approach allows the application of detailed mode-choice models based on agent-level attributes coming from mobiTopp functionalities. On the other hand, existing state-of-the-art ride-pooling optimization can be applied to utilize the full potential of ride-pooling. The introduced interface allows mode choice based on real-time fleet information and thereby does not require multiple iterations per simulated day to achieve a balance of ride-pooling demand and supply. The introduced methodology is applied to a case study of an example model where in total approximately 70,000 trips are performed. Simulations with a simplified mode-choice model with varying fleet size (0–150 vehicles), fares, and further fleet operators’ settings show that (i) ride-pooling can be a very attractive alternative to existing modes and (ii) the fare model can affect the mode shifts to ride-pooling. Depending on the scenario, the mode share of ride-pooling is between 7.6% and 16.8% and the average distance-weighed occupancy of the ride-pooling fleet varies between 0.75 and 1.17.

scholarly journals It Is Not Just Mortality: A Call From Chile for Comprehensive COVID-19 Policy Responses Among Older People

2020 ◽  
Author(s):  
Pablo Villalobos Dintrans ◽  
Jorge Browne ◽  
Ignacio Madero-Cabib
Keyword(s):  
Older People ◽  
National Level ◽  
Health Issues ◽  
Negative Consequences ◽  
Access To Health Services ◽  
Term Care ◽  
Policy Responses ◽  
Level Data ◽  
Definition Of

Abstract Objective Provide a synthesis of the COVID-19 policies targeting older people in Chile, stressing their short- and long-term challenges. Method Critical analysis of the current legal and policy measures, based on national-level data and international experiences. Results Although several policies have been enacted to protect older people from COVID-19, these measures could have important unintended negative consequences in this group’s mental and physical health, as well as financial aspects. Discussion A wider perspective is needed to include a broader definition of health—considering financial scarcity, access to health services, mental health issues, and long-term care—in the policy responses to COVID-19 targeted to older people in Chile.

scholarly journals COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ye Emma Zohner ◽  
Jeffrey S. Morris
Keyword(s):  
Web Application ◽  
The United States ◽  
Mitigation Strategies ◽  
Time Lags ◽  
Policy Makers ◽  
Major Health ◽  
Dynamic Representation ◽  
Graphical Displays ◽  
The Usa ◽  
User Friendly

Abstract Background The COVID-19 pandemic has caused major health and socio-economic disruptions worldwide. Accurate investigation of emerging data is crucial to inform policy makers as they construct viral mitigation strategies. Complications such as variable testing rates and time lags in counting cases, hospitalizations and deaths make it challenging to accurately track and identify true infectious surges from available data, and requires a multi-modal approach that simultaneously considers testing, incidence, hospitalizations, and deaths. Although many websites and applications report a subset of these data, none of them provide graphical displays capable of comparing different states or countries on all these measures as well as various useful quantities derived from them. Here we introduce a freely available dynamic representation tool, COVID-TRACK, that allows the user to simultaneously assess time trends in these measures and compare various states or countries, equipping them with a tool to investigate the potential effects of the different mitigation strategies and timelines used by various jurisdictions. Findings COVID-TRACK is a Python based web-application that provides a platform for tracking testing, incidence, hospitalizations, and deaths related to COVID-19 along with various derived quantities. Our application makes the comparison across states in the USA and countries in the world easy to explore, with useful transformation options including per capita, log scale, and/or moving averages. We illustrate its use by assessing various viral trends in the USA and Europe. Conclusion The COVID-TRACK web-application is a user-friendly analytical tool to compare data and trends related to the COVID-19 pandemic across areas in the United States and worldwide. Our tracking tool provides a unique platform where trends can be monitored across geographical areas in the coming months to watch how the pandemic waxes and wanes over time at different locations around the USA and the globe.

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