A new GLO Discussion Paperfinds an overall positive impact of parental migration on education, work, and temper of left-behind children in the Philippines.
The Global Labor Organization (GLO) is an independent, non-partisan and non-governmental organization that functions as an international network and virtual platform to stimulate global research, debate and collaboration.
Author Abstract: The Philippine government has focused most of its migration policy initiatives to encouraging international labour migration and protecting the rights of Filipino migrant workers. However, government interventions and aids to left-behind families and children left much to be desired. This paper aims to provide a better understanding of the impact of parental migration on the welfare of left-behind children in the Philippines so that policies can be devised to support them. This study’s analytical methods (instrumental variable analysis and propensity score matching) enable it to address several issues in migration research including endogeneity, migrant selectivity and community (regional) context, using previously unexamined nationally representative data from the Philippines. Our results suggest an overall positive impact on education, work, and temper of left-behind children. However, they tend to be more physically sickly. This warrants government attention to preclude any long-term negative health effects.
Governments around the world employ short-term re-election strategies.A new GLO Discussion Papertests whether longer program exposure has a causal effect on election outcomes in the context of a large anti-poverty program in India.It finds that length of program exposure lowers electoral support for the government.
The Global Labor Organization (GLO) is an independent, non-partisan and non-governmental organization that functions as an international network and virtual platform to stimulate global research, debate and collaboration.
Author Abstract: Short-term re-election strategies are widely used by governments around the world. This is problematic if governments can maximize their re-election chances by prioritizing short-term spending before an election over long-term reforms. This paper tests whether longer program exposure has a causal effect on election outcomes in the context of a large anti-poverty program in India. Using a regression-discontinuity framework, the results show that length of program exposure lowers electoral support for the government. The paper discusses a couple of potential explanations, finding that the most plausible mechanism is that voters hold the government accountable for the program’s implementation quality.
A new paper published online in the Journal of Population Economics updates research on son preferences in the United States. In contrast to previous research, any apparent son preference in fertility decisions have disappeared among natively born Americans, while some evidence for son preference in fertility persists among immigrants.
Read more in:
Francine D. Blau, Lawrence M. Kahn, Peter Brummund, Jason Cook & Miriam Larson-Koester Is there still son preference in the United States? See READLINK. Forthcoming: Journal of Population Economics (2020), Vol. 33, Issue 3. LEAD ARTICLE. https://doi.org/10.1007/s00148-019-00760-7
Author Abstract: In this paper, we use 2008–2013 American Community Survey data to update and further probe evidence on son preference in the USA. In light of the substantial increase in immigration, we examine this question separately for natives and immigrants. Dahl and Moretti (Review of Economic Studies 75, 1085-1120, 2008) found earlier evidence consistent with son preference in that having a female first child raised fertility and increased the probability that the family was living without a father. We find that for our more recent period, having a female first child still raises the likelihood of living without a father, but is instead associated with lower fertility, particularly for natives. Thus, by the 2008–2013 period, any apparent son preference in fertility decisions appears to have been outweighed by factors such as cost concerns in raising girls or increased female bargaining power. In contrast, some evidence for son preference in fertility persists among immigrants. Immigrant families that have a female first child have significantly higher fertility and are more likely to be living without a father (though not significantly so). Further, gender inequity in source countries is associated with son preference in fertility among immigrants. For both first- and second-generation immigrants, the impact of a female first-born child on fertility is more pronounced for immigrants from source countries with less gender equity. Finally, we find no evidence of sex selection for the general population of natives and immigrants, suggesting that it does not provide an alternative mechanism to account for the disappearance of a positive fertility effect for natives.
Related recent papers from the GLO network on son preferences:
A recent GLO Discussion Paper (also the GLO Discussion Paper of the Month March) had documented that the public health measures adopted in China have effectively contained the virus outbreak there already around February 15. Now a substantially revised version of the paper based on rigorous peer review has been accepted for publication in the Journal of Population Economics.
“Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China”byQiu, Yun & Chen, Xi & Shi, Wei Forthcoming: Journal of Population Economics, Issue 4, 2020. PDF of the prepublication revised draft.
Major Findings
Stringent quarantine, city lockdown, and local public health measures imposed since late January significantly decreased the virus transmission rate.
Population outflow from the outbreak source region posed a higher risk to the destination regions than other factors including geographic proximity and similarity in economic conditions.
Over 1.4 million infections and 56,000 deaths could have been avoided according to the estimates based on the analysis.
Most effective was found to be “city lockdown” first followed by “closed management of communities” and “family outdoor restrictions”.
GLO Discussion Paper No. 494, 2020: GLO Discussion Paper of the Month: March
Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China by Qiu, Yun & Chen, Xi & Shi, Wei PDF of the GLO Discussion Paper
Yun Qiu & Wei Shi are Professors at the Institute for Economic and Social Research (IESR), Jinan University, China
Xi Chen is a Professor at Yale University & President of the China Health Policy and Management Society
Yun Qiu
Xi Chen
Wei Shi
Revised Abstract: This paper models the local and cross-city transmissions of the novel coronavirus in China between January 19 and February 29 in 2020. We examine the role of various socioeconomic mediating factors, including public health measures that encourage social distancing in local communities. Weather characteristics two weeks ago are used as instrumental variables for causal inference. Stringent quarantine, city lockdown, and local public health measures imposed since late January significantly decreased the virus transmission rate. The virus spread was contained by the middle of February. Population outflow from the outbreak source region posed a higher risk to the destination regions than other factors including geographic proximity and similarity in economic conditions. We quantify the effects of different public health measures in reducing the number of infections through counterfactual analyses. Over 1.4 million infections and 56,000 deaths could have been avoided as a result of the national and provincial public health measures imposed in late January in China.
A new GLO Discussion Paper reviews recent literature on public program benefits to conclude that there may well be net social gains.
The Global Labor Organization (GLO) is an independent, non-partisan and non-governmental organization that functions as an international network and virtual platform to stimulate global research, debate and collaboration.
Author Abstract: Precipitated by rapid globalization, rising inequality, population growth, and longevity gains, social protection programs have been on the rise in low- and middle-income countries (LMICs) in the last three decades. However, the introduction of public benefits could displace informal mechanisms for riskprotection, which are especially prevalent in LMICs. If the displacement of private transfers is considerably large, the expansion of social protection programs could even lead to social welfare loss. In this paper, we critically survey the recent empirical literature on crowd-out effects in response to public policies, specifically in the context of LMICs. We review and synthesize patterns from the behavioral response to various types of social protection programs. Furthermore, we specifically examine for heterogeneous treatment effects by important socioeconomic characteristics. We conclude by drawing on lessons from our synthesis of studies. If poverty reduction objectives are considered, along with careful program targeting that accounts for potential crowd-out effects, there may well be a net social gain.
A new GLO Discussion Paperreveals the positive effects of a large Indian public works program showing thatthere is little evidence of a crowding out of private-sector jobs and that it functions as a safety net and encourages risk-taking.
The Global Labor Organization (GLO) is an independent, non-partisan and non-governmental organization that functions as an international network and virtual platform to stimulate global research, debate and collaboration.
Author Abstract: Most countries around the world implement some form of a safety net program for poor households. A widespread concern is that such programs crowd out private-sector jobs. But they could also improve workers’ welfare by allowing them to take on more risk, for example through self-employment. This paper analyzes the employment impacts of the world’s largest public-works program using a novel regression-discontinuity design. The analysis exploits detailed institutional information to describe the allocation formula of the program and to construct a benefit calculator that predicts early and late treatment of districts. The results show that there is little evidence of a crowding out of private-sector jobs. Instead, the scheme functions as a safety net after a bad rainfall shock. Male workers also take on more risk by moving into family employment. This self-revealed preference for a different type of job suggests other potential benefits of safety net programs which so far have received little attention in the literature.
Will happiness levels return to normal before the end of 2020? Talita Greyling and Stephanié Rossouw of GLO analyze the situation, as it happens – real-time happiness levels and emotions (www.gnh.today) during the evolution of the Coronavirus Crisis. The Gross National Happiness data set used (a real-time Happiness Index) is an ongoing project, the two researchers launched in April 2019 in South-Africa, New-Zealand and Australia. The project is presented below and documents the development of real-time happiness in Australia, New Zealand and South Africa in the periods of the outbreak of the Coronacrisis in those countries.
The authors
Talita Greyling:School of Economics, University of Johannesburg, South Africa, and GLO; email: talitag@uj.ac.za Stephanié Rossouw:Faculty of Business, Economics and Law, Auckland University of Technology, Auckland, New Zealand,and GLO; email: stephanie.rossouw@aut.ac.nz
Stephnie Rossouw
Talita Greyling
The analysis
Traditionally, economists measured the well-being of people or a nation by using objective economic indicators such as gross domestic product (GDP). We know that these indicators do not measure well-being per se, but merely specific conditions, which is believed to lead to a good life. What we should be measuring is whether people’s lives are getting better? In general, when people are happy and satisfied with their life, it signals that they have a higher level of well-being.
Gross National Happiness (GNH) refers to the level of happiness for a group of citizens or nations and the best-known surveys that captures cross country data are the Gallup World Poll Survey data and World Value Survey data. In these surveys we find measures of subjective-wellbeing, thus evaluative happiness, which if averaged across a country gives the mean subjective well-being of a specific country. Although these measures of subjective well-being are very useful and informative there are significant time-lags between real-time events and the reporting of this evaluative happiness levels. What is needed is a real-time measure of happiness.
Using social media and the voluntary information sharing structure of Twitter, Greyling and Rossouw (in collaboration with AFSTEREO) have been determining the happiness in real-time (mood) of citizens in Australia, New Zealand and South Africa since April 2019 (http://gnh.today/), and lately also been analyzing the specific emotions of Tweets, distinguishing between eight emotions, anger, anticipation, disgust, fear, joy, sadness and surprise.
They analyze extracted Tweets using sophisticated software to determine the sentiment and the emotions of the Tweets. Sentiment analysis is used to label a ‘live’ stream of tweets of these countries as having either a positive, neutral or negative sentiment after which a sentiment balance algorithm is applied to derive a happiness score. The scale of the happiness scores is between 0 (not happy) and 10 (very happy), with 5 being neutral, thus neither happy nor unhappy. In this manner, they have been tracking the ‘mood’ of these nations and analyzed the impact of various economic (industrial actions), political (national elections), social (death of Kobe Bryant and COVID-19, xenophobia, music concerts) and sport events on happiness levels, as early as one hour after it happened. See Figures 1-3 for a peek into what the happiness index can ascertain.
As can be seen from Figure 1, on 25 January when Australia confirmed its first COVID-19 case, there was very little reaction. Happiness even increased somewhat after the announcement, though the higher levels of happiness were related top sport events. The dip in the happiness on 27 March was due to the death of the American basketball player, Kobe Bryant’. On 17 March when Prime Minister Scott Morrison banned gatherings larger than 100 people, we for the first time saw a significant decrease in the happiness levels. The Australians are not on complete lockdown, but it seems that their happiness levels continue to stay below pre-Corona times. We will be tracking these changes in the coming weeks, to see if the happiness levels return to pre-Corona levels as time goes by.
Coincidentally, until the outbreak of COVID-19, the lowest happiness level in New Zealand was on 27 January (6.43), also signalling New Zealander’s empathy with Kobe Bryant’s death. As can be seen from the Figure 2, on 28 February when New Zealand confirmed its first COVID-19 case, there was very little reaction. On 4 March, New Zealand experienced the ‘Toilet paper apocalypse’, but it wasn’t until 13 March that the lowest level of happiness (6.37) was recorded. People were devastated by all the concert and festival cancellations, because of COVID-19. The first day of complete lockdown was on 26 March. We will be monitoring whether New Zealanders adjust to their new normal over the coming weeks.
As can be seen from Figure 3, on 6 March when South Africa confirmed its first COVID-19 case, the happiness level was above the average for the period preceding the outbreak, as well as the total average. It wasn’t until 16 March when reality set in for most South Africans after President Cyril Ramaphosa declared a national state of disaster, that we saw a decrease in happiness levels. When the announcement came on 23 March, that a complete lockdown of South Africa will commence on 27 March, the index fell to its lowest level yet (5.35). We will be monitoring whether South Africans adjust to their new normal over the coming weeks.
Technical Support by AFSTEREO
Reference Greyling T. & Rossouw S. 2020. Gross National Happiness Project. Afstereo (IT partner). University of Johannesburg (funding agency). Pretoria, South Africa. www.gnh.today.
The world still struggles about a convincing strategy to handle the #coronavirus crisis. Radical alternatives focus around (i) herd immunity and selective social distancing and (ii) a total lockdown of the economy and the entire society. In previous posts the GLO website was reporting about the strategy of lockdown, the societal consequences and the arguments against it, and the alternative Swedish strategy. Today we listen to a feedback from Italy, the country hit hardest first after China. The interview partner is Alessandro Cigno of the University of Florence.
Some core messages of the interview:
The course of the contagion is the same everywhere.
Italy is on its way out of the crisis.
It started in the most populated North with global connections, affecting the most vulnerable.
Italy has an efficient public health system which managed the crisis.
The radical lockdown had no alternative and saved very many lives.
The missing European solidarity may result in the end of European unification.
GLO Fellow Alessandro Cigno is a Professor of Economics at the University of Florence, and Editor of the Journal of Population Economics.
Interview
GLO: The coronacrisis in Italy has become a terrible catastrophe, and there is no end in sight…..
Alessandro Cigno: ….not quite true that there is no end in sight in Italy. The number of contagions has stabilized, and the number of intensive care cases is decreasing , the number cured or dead is larger than the number of new cases…..
GLO: But what can the other countries learn from the Italian experiences? Why was the coronavirus affecting Italy suddenly like a tsunami?
Alessandro Cigno: The course of the contagion is the same everywhere. It just started earlier in Italy.
GLO: Why has the disease largely affected first the North and so much the Old?
Alessandro Cigno: The North is more densely populated and has more intense relations with the rest of the world. The old are more likely to have other pathologies.
GLO: What role played the openness of the country, the strength of the healthcare system and the strong family relationships in the Italian culture? What role played missing data and slow government response?
Alessandro Cigno: Openness facilitated the contagion. Fortunately we have an efficient public health system. But the number of intensive care beds per 1000 inhabitants, while double that of the UK, was initially half of that of France and one third that of Germany. That number has been raised very quickly. Strong family relationships helped the contagion, especially from the young to the old. As Italy was the first to start, the government response was unavoidably tentative (that of other countries who started later had no excuse).
GLO: Italy is strongly related to China through the Belt & Road initiative. Has this played any role?
Alessandro Cigno: The Belt & Road initiative may have played a role.
GLO: Were the radical lockdown measures effective?
Alessandro Cigno: Radical lockdown is estimated to have saved 30 000 lives.
GLO: Did Italy discuss alternatives?
Alessandro Cigno: Alternatives to lockdown were and are discussed, but the scientific and medical consensus is that they are inferior.
GLO: How do Italians react to the missing European solidarity in this crisis?
Alessandro Cigno: Italians are offended by the missing European solidarity and fear that it will be the end of European unification.
************* With Alessandro Cigno spoke Klaus F. Zimmermann, GLO President.
A new GLO Discussion Paperfinds a weak trade-off between aggregated national-level wage inflation and unemployment.
The Global Labor Organization (GLO) is an independent, non-partisan and non-governmental organization that functions as an international network and virtual platform to stimulate global research, debate and collaboration.
Author Abstract: This paper examines the relationship between labour market conditions and wage dynamics by exploiting a unique dataset of 0.8 million online job vacancies. We find a weak trade-off between aggregated national-level wage inflation and unemployment. This link becomes more evident when wage inflation is disaggregated at sectoral and occupational levels. Using exogenous variations in local market unemployment as the main identification strategy, a negative correlation between vacancy-level wage and unemployment is also established. The correlation magnitude, however, is different across regions and skill segments. Our findings suggest the importance of micro data’s unique dimensions in examining wage setting – unemployment relationship.
The GLO Discussion Paper of the Month March suggests that the public health measures adopted in China have effectively contained the virus outbreak there already around February 15.
Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China by Qiu, Yun & Chen, Xi & Shi, Wei PDF of the GLO Discussion Paper
Yun Qiu & Wei Shi are Professors at the Institute for Economic and Social Research (IESR), Jinan University, China
Xi Chen is a Professor at Yale University & President of the China Health Policy and Management Society
Yun Qiu
Xi Chen
Wei Shi
Author Abstract: This paper examines the role of various socioeconomic factors in mediating the local and cross-city transmissions of the novel coronavirus 2019 (COVID-19) in China. We implement a machine learning approach to select instrumental variables that strongly predict virus transmission among the rich exogenous weather characteristics. Our 2SLS estimates show that the stringent quarantine, massive lockdown and other public health measures imposed in late January significantly reduced the transmission rate of COVID-19. By early February, the virus spread had been contained. While many socioeconomic factors mediate the virus spread, a robust government response since late January played a determinant role in the containment of the virus. We also demonstrate that the actual population flow from the outbreak source poses a higher risk to the destination than other factors such as geographic proximity and similarity in economic conditions. The results have rich implications for ongoing global efforts in containment of COVID-19.
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