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While there exist many surveys on the use stochastic frontier analysis (SFA), many important issues and techniques in SFA were not well elaborated in the previous surveys, namely, regular models, copula modeling, nonparametric estimation by Grenander’s method of sieves, empirical likelihood and causality issues in SFA using regression discontinuity design (RDD) (sharp and fuzzy RDD). The purpose of this paper is to encourage more research in these directions.

A literature survey.

While there are many useful applications of SFA to econometrics, there are also many important open problems.

This is the first survey of SFA in econometrics that emphasizes important issues and techniques such as copulas.

Unemployment can negatively affect individuals, their families and communities in various ways. When individuals are out of work may experience mental and physical health problems, material deprivation and poverty. This study aims to examine the impact of unemployment benefits on health and living standards in Turkey.

The authors employ a structural equation modelling (SEM) to consider the simultaneous relationships among the unemployment benefits and the latent variables of health and Standard of Living (SoL). We propose a fuzzy Regression Discontinuity Design (FRDD) and a Regression Kink Design (RKD) within the SEM framework to infer causality. For the empirical analysis, the authors employ the panel Income and Living Conditions Survey (ILCS) in 2007–2015.

The authors’ findings suggest that those who receive these benefits are more likely to report higher levels of health and improve their living standards compared to the non-recipients. Furthermore, unemployment benefits replacement rates are associated with improved levels in health and living standards. The authors’ results indicate a substantial heterogeneity on the impact of unemployment benefits since males, low educated individuals and those belonging to the lower levels of income are affected more in terms of their health status and living standards.

The majority of earlier studies have focused on the impact of unemployment benefits on labor outcomes. The originality of this study is that we implement the FRDD and RKD within the SEM framework to explore, simultaneously, the impact of unemployment insurance on health and living standards. Moreover, future research studies can implement this framework to infer causality and explore the impact of related policies and reforms.

The purpose of this paper is to examine the effects of school attendance on learning and child labour in Ghana.

The paper uses a nationally representative sample of household and individual data in 2005/06 and 2011/12 for the analysis. Regression discontinuity, the capitation grant in 2005 as exogenous, is used to estimate the impact of school attendance on child labour and learning outcomes.

The study found that children who were exposed to the capitation grant spent more hours in school and were more likely to enrol in primary school. School attendance was found to increase the likelihood to read and write a standardised test in English. Also, the improvement in children’s school attendance was found to enhance the likelihood of performing a written calculation. The authors could not find any evidence that school attendance affected child labour.

This research is the first causality analysis in sub-Saharan Africa that uses a nationally representative dataset to study the impact of school attendance on child labour and learning outcomes using a regression discontinuity estimator to deal with endogeneity issues.

With an increasing number of Chinese private firms establishing primary level CPC Party committees, it is important to study the role of Party organizations in these firms. Using a nationwide survey of private firms in 2006, we empirically study the firm-level CCP committee's effect on workers' benefits and firm performance.

To overcome the potential endogeneity, we employ the regression discontinuity approach by utilizing the following rule from the Constitution of the CCP: Primary party committees should be established in any basic work unit with more than 3 full party members.

Our empirical results show that party committees in private firms have positive and statistically significant effects on many types of workers' benefits, including pension, unemployment insurance and workplace safety.

This paper highlights CCP committees as an important alternative mechanism in coordinating labor relationships in China when formal labor protecting institutions are weak.

Even though Europe has recently undergone a difficult time and is recovering from the aftermath of prevalent unemployment, immigrants are still flocking towards Europe and taking up citizenships of their host countries through naturalisation. The purpose of this paper is to look at the how naturalised immigrants fare in terms of income and employment chances, compared to immigrants.

Using a fuzzy regression discontinuity design and the 2008 European Values Study integrated data set with a final sample of 4,460 observations, this paper isolates the causal effect of naturalisation on the income and employment chances of immigrants by exploiting exogenous variations generated by the eligibility rules for naturalisation in 41 European countries.

Main findings show that the probability of being naturalised increases for eligible immigrants, income and employment chances increase for eligible immigrants, and income and employment chances increase for naturalised immigrants.

This study has a data limitation, where in using the discontinuity design, there is an unbalanced number of observations to the left and right of the design’s threshold value.

There are limited studies using causal models or potential outcome frameworks to examine the effect of immigrant naturalisation on labour market outcomes in Europe. This study fills this gap.

The role of increased schooling on teenage childbirth has been expansively studied especially in developed countries. However, caveats remain in the case of low-income countries especially Sub-Saharan Africa. The purpose of this paper is to ascertain the impact of increased schooling on the probability of first childbirth at 15 years or younger, 16-17, 18-19, and 20 years or older, in the important context of Uganda – a country with one of the highest adolescent fertility rates in Africa.

The empirical analysis uses recent data from the nationally representative Demographic and Health Survey for Uganda conducted in 2011. The authors then adopt a fuzzy regression discontinuity design, estimated using instrumental variables techniques that exploit the exogenous change in schooling impelled by the universal primary education policy enacted in 1997 in Uganda. The empirical approach compares the fertility outcomes for women born in 1984-1992 (i.e. exposed to the policy) to those born in 1973-1981 (i.e. non-exposed).

The authors find that a one-year increase in schooling lowers the probability of first childbirth at age the age of 15 years or younger, 16-17, 18-19, and 20 years or older by nearly 8.2, 9.2, 9.4, and 9.5 percentage points, respectively. Also, pathways through which education impacts teenage motherhood included information access through the media, increased literacy, prenatal care utilization, marital status, and unhealthy sexual behavior.

The paper uses nationally representative survey data to scrutinize the causal influence of schooling on the probability of first childbirth using the 1997 universal primary education in Uganda as a natural experiment to identify the impact of schooling. The study recommends that expanding primary schooling opportunities for girls may be an effective strategy toward accelerated reductions in teenage fertility in Uganda.

The purpose of this paper is to examine the relative academic effectiveness of vocational education in three countries with early tracking systems: Austria, Croatia, and Hungary.

The authors use an instrumental variables approach to estimate vocational education’s relative academic effectiveness in terms of achievement on an international test, the Organization for Economic Cooperation and Development’s Program of International Student Assessment (PISA), and two possible indicators of non-cognitive outcomes – self-efficacy in mathematics and intrinsic motivation in mathematics, both also available from the PISA student survey.

The results show few, if any, differences in student gains from attending the vocational track in secondary school as opposed to the academic track. Specifically, the results show that attending the vocational or academic track results in similar achievement gains in the tenth grade and generally similar gains in self-efficacy and motivation in mathematics.

The study is unique because in the three countries, the authors can use a fuzzy regression discontinuity approach based on school systems’ age entrance date rules to estimate the gain in test scores over an academic year and to compare the gain for students in the vocational and academic tracks. The results contradict almost all other studies by showing that in these countries student academic gains in vocational education are about the same as in the academic track.

The purpose of this study is to regard winter heating as a quasi-natural experiment to identify the possible causal effects of winter heating on population mobility. However, there are scant research studies examining the effect of atmospheric quality on population mobility. There also exists some relevant research studies on the relationship between population mobility and environmental degradation (Lu et al., 2018; Reis et al., 2018; Shen et al., 2018), and these studies exist still some deficiencies.

The notorious atmospheric quality problems caused by coal-fired heating in winter of northern China have an aroused widespread concern. However, the quantitative study on the effects on population mobility of winter heating is still rare. In this study, the authors regard the winter heating as a quasi-natural experiment, based on the of daily panel data of 58 cities of Tencent location Big Data in China from August 13 to December 30 in 2016 and August 16 to December 30 in 2017, and examine the impacts of winter heating on population mobility by utilizing a regression discontinuity method.

The findings are as follows, in general, winter heating significantly aggravates regional population mobility, but the impacts on population mobility among different cities are heterogeneous. Specifically, the effects of winter heating on population mobility is greater for cities with relatively good air quality, and the effects is also more obvious for big and medium-sized cities than that in small cities. In addition, different robustness tests, including continuity test, different bandwidth tests and alternative empirical model, are adopted to ensure the reliability of the conclusion. Finally, the authors put forward corresponding policy suggestions from the three dimensions of government, enterprises and residents.

First, regarding winter heating as a quasi-natural experiment, a regression discontinuity design method is introduced to investigate the relationship between winter heating and population mobility, which is helpful to avoid the estimation error caused by endogeneity. Second, the authors use the passenger travel “big data” based on the website of Tencent Location Big Data, which can effectively capture the daily characteristics of China's population mobility. Third, this study discusses the population mobility from the perspective of winter heating and researches population mobility before and after winter heating, which is helpful in enriching the research on population mobility.

This study investigates the impact of political alignment on intergovernmental transfers to the Brazilian unified health system (SUS). The authors analyzed both automatic transfers based on pre-established rules and discretionary transfers, using two criteria of political alignment between mayors and the central government.

For the empirical analysis the authors used regression-discontinuity design (RDD) and the outcomes of close elections between 2001 and 2017.

The results indicate positive and statistically significant effects of party alignment on the two transfer categories, especially discretionary transfers, but also on transfers based on pre-established rules. The effect of direct party alignment, when mayors and the president are from the same party, is greater than that resulting from coalitions established in municipal and federal elections.

The positive effect of party alignment was found both in discretionary transfers (those that do not have previously established rules) and some non-discretionary transfers (although they have previously defined regulations). A part of these regulations depends on production capacity and on taking part in programs promoted by the central government, which may produce entropy in the financing system, and a margin to benefit political allies. In the case of the SUS system, it is possible that this entropy is greater in the basic health care category than in the moderate and high complexity one, allowing a higher margin for discretion in transfers allocated to the former. Stricter rules associated to basic health care transfers would be desirable.

In Brazil, stricter rules and monitoring associated to basic healthcare intergovernmental transfers would be desirable.

The results may inspire some improvement in the mechanisms that govern the distribution of resources to basic healthcare in Brazil, improving social welfare by improving social justice in the distribution of resources to basic healthcare.

The authors does not know any other study about the impact of party alignment on the distribution of intergovernmental transfers to the Brazilian unified health system.

This study investigates how working-age Asian immigrants' educational attainment and professional abilities when arriving in the United States have evolved over the past 4 decades and draws inferences on the impact of the US employment based visa policies.

Using data from the 1980, 1990 and 2000 census and American Community Survey for 2001 to 2019, the study adopts multivariate regression and regression discontinuity design to investigate the trends in educational and occupation selection among Asian immigrants and the association with policy changes in the H1B visa program.

The findings suggest that new Asian immigrants were more positively selected for education than non-Asian immigrants and US natives and this pattern of positive selection increased over time. Newly arrived South Asian and East Asian immigrants had the highest share of highly educated professionals than Southeast Asians and US-born persons. I infer that the enactment and changes in the H1-B program might have contributed to the changing patterns of the educational and occupational selection among East and South Asian Immigrants. The results also shed light on how Asian immigrants' skill selection might be related to the size of Asian diasporas in the US and sending countries' income, inequality and education level.

The story of changing the skill profile (educational and occupational profile) of newly arrived Asian immigrants during 1980–2019 can provide valuable policy implications. US immigration policies are routinely criticized for being inefficient and outdated. The economic prosperity of Asian countries over time also provides an excellent opportunity to test the theories pertaining to how sending countries' income, inequality and education level of the population are associated with Asian migrants' education and occupation when arriving in the US. This study can provide insightful perspectives for policymakers and business decision-makers to adapt to the changing demographics of Asian migrant workers. The most recent reports on Asian immigrants in the US highlighted the aggregated trends of migration flow and education. Still, none have provided a longitudinal and nuanced review of Asian immigrants' educational and occupational selection into the US.