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41. Whose intergenerational mobility? A new set of estimates for Indonesia by gender, geography, and generation

Author:
Diding Sakri, Andy Sumner, and Arief Anshory Yusuf
Publication Date:
02-2022
Content Type:
Working Paper
Institution:
United Nations University
Abstract:
Various scholars have estimated levels of intergenerational mobility in OECD countries. Fewer estimates are available for developing countries, where mobility arguably matters more due to starker differences in living standards. This paper presents new estimates of mobility for a developing country, namely Indonesia. The estimates are based on data from five waves of the Indonesian Family Life Survey, a longitudinal analysis of socio-economic status which began in 1993. We constructed a pooling sample consisting of 9,445 matching pairs of children and their parents. The paper estimates relative mobility using the intergenerational elasticity of income. We find that although, overall, the intergenerational elasticity of income is low compared with other developing countries, the level of mobility in Indonesia differs markedly by children’s gender and across provinces and generations.
Topic:
Mobility, Family, Survey, and Longitudinal Analysis
Political Geography:
Indonesia and Southeast Asia

42. 2020 American Community Survey: Use with Caution, An Analysis of the Undercount in the 2020 ACS Data Used to Derive Estimates of the Undocumented Population

Author:
Robert Warren
Publication Date:
07-2022
Content Type:
Journal Article
Journal:
Journal on Migration and Human Security
Institution:
Center for Migration Studies of New York
Abstract:
This paper analyzes and provides estimates of the undercount of the foreign-born in the US Census Bureau’s 2020 American Community Survey (ACS). It confirms that a differential undercount occurred in the 2020 ACS. In particular, noncitizens that arrived from Central American countries after 1981 had undercount rates of 15–25 percent, but undercount of noncitizens that arrived from European countries in the same period was not detectable by the methods described in this paper. The Center for Migration Studies of New York (CMS) and others use ACS data to derive annual estimates of the US undocumented population. The Census Bureau recently reported that the total population count for the 2020 Census was consistent with the count for recent censuses, despite the Covid-19 pandemic and the Trump administration’s interference in the 2020 Census. Nonetheless, the accuracy of 2020 ACS data for the noncitizen population that arrived after 1981 remains a major concern given the fear generated by the Trump administration’s abusive rhetoric and anti-immigrant policies. The estimates set forth in this paper were derived by analyzing trends in annual ACS data for 2016–2020 compiled from the IPUMS website (Ruggles et al. 2021). Decennial census data cannot be used for this purpose because data on country of birth, citizenship, and year of immigration are not collected in the census. However, it is reasonable to believe that the 2020 census and the 2020 ACS experienced similar challenges because they were conducted under comparable conditions. The patterns of undercount of noncitizens described here for the 2020 ACS are likely mirrored in the 2020 census and will reduce federal funding and representation to affected cities and states for the next decade.
Topic:
Migration, Border Control, Survey, and Undocumented Population
Political Geography:
North America and United States of America

43. The Geopolitical Consequences of COVID-19: Assessing Hawkish Mass Opinion in China

Author:
Joshua Byun, D. G. Kim, and Sichen Li
Publication Date:
01-2022
Content Type:
Journal Article
Journal:
Political Science Quarterly
Institution:
Academy of Political Science
Abstract:
JOSHUA BYUN, D.G. KIM, and SICHEN LI examine the impact of the COVID-19 pandemic on the Chinese public’s foreign policy attitudes. Drawing on original surveys fielded in China during the first six months of the global pandemic, they find that ordinary Chinese citizens are optimistic about China’s future global position, and that this optimism corresponds with the widespread perception that the COVID-19 pandemic is accelerating China’s rise relative to the United States.
Topic:
Foreign Policy, Public Opinion, Geopolitics, Survey, and COVID-19
Political Geography:
China, Asia, and United States of America

44. Citizens perceptions of integrity of public institutions in Kosovo

Author:
Shpat Balaj
Publication Date:
01-2022
Content Type:
Special Report
Institution:
Kosovar Centre for Security Studies (KCSS)
Abstract:
The Kosovo Security Forces, the Kosovo Police, the President of Kosovo and the Municipalities are the most trusted public institutions in Kosovo, with over 50 percent of respondents declaring that they trust or completely trust these institutions. This is followed by the Kosovo Customs and the Kosovo Intelligence Agency with 45 percent of respondents sharing such an opinion. On the other hand, less than 40 percent of the respondents declared that they trust or completely trust Courts, Prosecution, Kosovo Correctional Services, the Government of Kosovo and the Kosovo Assembly. The results of the report show that citizens of Kosovo find the security institutions more reliable with a higher level of trust towards them, compared to other public institutions in Kosovo, such as the justice institutions which citizens perceive less trustworthy and with weak integrity. The citizen confidence in the institutions of the Courts and the Prosecution in Kosovo has been consistently in decline, and this is concerning. Citizens have higher confidence in the public institutions from the central level, especially when compared to the previous year (2020), however, the skepticism towards these institutions generally prevails.
Topic:
Security, Public Opinion, Survey, and Public Institutions
Political Geography:
Eastern Europe and Kosovo

45. Labour incomes in India: A comparison of PLFS and CMIE-CPHS data

Author:
Mrinalini Jha and Amit Basole
Publication Date:
02-2022
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
The Covid-19 pandemic has created a need for high frequency employment and income data to gauge the nature and extent of shock and recovery from month to month. Lack of such high frequency household-level data from official sources has forced researchers to rely almost entirely on the Consumer Pyramids Household Survey (CPHS) conducted by the Centre for Monitoring the Indian Economy (CMIE). Recently, the CPHS has been criticised for missing poor and vulnerable households in its sample. In this context, it becomes important to develop a detailed understanding of how comparable CPHS estimates are to other more familiar sources. We examine the comparability of monthly labour income estimates for the pre-pandemic year (2018-19) for CPHS and the Periodic Labour Force Survey (PLFS). Across different methods and assumptions, as well as rural/urban locations, CPHS mean monthly labour earnings are anywhere between 5 percent to 50 percent higher than corresponding PLFS estimates. In addition to the sampling concerns raised in the literature, we point to differences in the way employment and income are captured in the two surveys as possible causes of these differences. While CPHS estimates are always higher, it should also be emphasized that the two surveys agree on some stylized facts regarding the Indian workforce. An individual earning INR 50,000 per month lies in the top 5 percent of the income distribution in India as per both surveys. Second, both PLFS and CPHS show that half the Indian workforce earns below the recommended National Minimum Wage.
Topic:
Labor Issues, Survey, Data, COVID-19, and Income
Political Geography:
South Asia and India

46. Loss, Recovery and the Long Road Ahead: Tracking India’s Informal Workers Through the Pandemic

Author:
Paaritosh Nath, Nelson Mandela, and Aishwarya Gawali
Publication Date:
05-2022
Content Type:
Working Paper
Institution:
Centre for Sustainable Employment, Azim Premji University
Abstract:
Drawing on results from a panel of 2778 workers interviewed during and after the 68-day hard lockdown imposed in India, the following study examines the livelihood impact of the pandemic and the extent of subsequent recovery or lack thereof. Focussing specifically on workers located in the informal economy, the study is a useful addition to the burgeoning body of work on the economic impacts of Covid-19 by providing an insight into the employment and earnings recovery of those located at the margins. These findings are spliced across socio-economic groups to showcase the differential impact of the pandemic on different demographics within the informal sector. Our results show that six months after the hard lockdown, one out five persons were still out of work. Conditioned on being employed prior to the lockdown and having lost work during the lockdown, we find that urban respondents, women, workers above sixty and graduates were significantly less likely to recover from the shock. A similar exercise carried out for women workers showed that middle aged women, never married women and women who were not-literate women or educated up until primary and middle school were significantly more likely to recover from job loss. Older women, those located in urban areas and Muslim women were on the other hand significantly less likely to recover from the job loss. Earnings on the whole were half of what they used to be prior to the pandemic. Some better off workers shifted to more precarious types of employment. Given the fall in earnings poorer worker households were forced to borrow and the amount of loan taken was multiple times their average monthly income. In the context of loss in employment and reverse migration, the survey results show a substantial unmet demand for work under the MGNREGA programme even after the lockdown was lifted. We conclude that despite a partial recovery in the subsequent period, the pandemic induced lockdown has undermined the material conditions for subsistence for a large segment within the informal economy. Moreover, any attempts made to re-imagine what a social protection programme for the informal economy should look like must take into account the segments most susceptible to an economic shock on their livelihoods.
Topic:
Labor Issues, Employment, Survey, COVID-19, and Informal Economy
Political Geography:
South Asia and India