Unintended Labor Supply Effects of Cash Transfer Programs: New Evidence from South Africa’s Pension†

2019 ◽  
Vol 28 (5) ◽  
pp. 558-581 ◽  
Author(s):  
Martin Abel
Keyword(s):  
Panel Data ◽  
Labor Supply ◽  
Cash Transfer ◽  
Income Effect ◽  
Data Set ◽  
Transfer Programs ◽  
Disability Grant ◽  
Household Members ◽  
Nationally Representative ◽  
New Evidence

Abstract Using South Africa’s first nationally representative panel data set, I find that the presence of pension recipients in the household reduces the probability of employment of both previously employed and unemployed prime-aged adults. Exploiting institutional features of the disability grant to isolate the pension’s income effect suggests that the effects operate through the income mechanism. By contrast, there is no evidence that pensioners enable household members to work by providing childcare as concluded by previous studies.

scholarly journals Stochastic Revealed Preferences with Measurement Error

2020 ◽  
Author(s):  
Victor H Aguiar ◽  
Nail Kashaev
Keyword(s):  
International Economic ◽  
Measurement Error ◽  
Panel Data ◽  
Revealed Preference ◽  
Revealed Preferences ◽  
Data Sets ◽  
Single Individual ◽  
Data Set ◽  
International Economic Review ◽  
New Evidence

Abstract A long-standing question about consumer behaviour is whether individuals’ observed purchase decisions satisfy the revealed preference (RP) axioms of the utility maximization theory (UMT). Researchers using survey or experimental panel data sets on prices and consumption to answer this question face the well-known problem of measurement error. We show that ignoring measurement error in the RP approach may lead to overrejection of the UMT. To solve this problem, we propose a new statistical RP framework for consumption panel data sets that allows for testing the UMT in the presence of measurement error. Our test is applicable to all consumer models that can be characterized by their first-order conditions. Our approach is non-parametric, allows for unrestricted heterogeneity in preferences and requires only a centring condition on measurement error. We develop two applications that provide new evidence about the UMT. First, we find support in a survey data set for the dynamic and time-consistent UMT in single-individual households, in the presence of nonclassical measurement error in consumption. In the second application, we cannot reject the static UMT in a widely used experimental data set in which measurement error in prices is assumed to be the result of price misperception due to the experimental design. The first finding stands in contrast to the conclusions drawn from the deterministic RP test of Browning (1989, International Economic Review, 979–992). The second finding reverses the conclusions drawn from the deterministic RP test of Afriat (1967, International Economic Review, 8, 6–77) and Varian (1982, Econometrica, 945–973).

Agricultural disaster programs and family farm labor supply in Taiwan

2018 ◽  
Vol 8 (4) ◽  
pp. 642-655 ◽  
Author(s):  
Karin Wu ◽  
Hung-Hao Chang ◽  
Lih-Chyun Sun
Keyword(s):  
Panel Data ◽  
Labor Supply ◽  
Natural Disaster ◽  
Disaster Relief ◽  
Farm Labor ◽  
Family Farm ◽  
Data Set ◽  
Content Type ◽  
Individual Level ◽  
On Farm

PurposeThe purpose of this paper is to investigate the effects of disaster relief payments on on-farm and off-farm labor supply of farm households in Taiwan. The effectiveness of the policy amendments of the disaster relief assistance programs is also examined.Design/methodology/approachA unique sample of 124,827 persons living in the family farm household in 2009, 2011, 2012, 2013 and 2014 was used. This sample was merged into the township-level administrative profile of all of the recipients of agricultural disaster relief payments from the Natural Disaster Program in Taiwan. A fixed effect panel data model was estimated to analyze the impacts of disaster relief payments on each individual’s labor supply decision.FindingsNatural disaster payments significantly reduced individual’s propensity to work on the farm. Moreover, the higher of the payments, the higher(lower) possibility of the individual to engage in on-farm(off-farm) work. In addition, an increase in the amount of disaster payments can increase the on-farm labor supply of family farm members.Research limitations/implicationsDue to data unavailability, an individual-level panel data set is not used. Future studies can check the robustness of the finding using an individual-level panel data set.Originality/valueThis paper contributes to the limited empirical evidence on agricultural relief programs.

scholarly journals All-cause mortality during SARS-CoV-2 Pandemic in India: Nationally-representative estimates independent of official death registry

2021 ◽  
Author(s):  
Sabareesh Ramachandran ◽  
Anup Malani
Keyword(s):  
Panel Data ◽  
Death Rate ◽  
The Elderly ◽  
Data Set ◽  
Death Registry ◽  
All Cause Mortality ◽  
Large Panel ◽  
Nationally Representative ◽  
Second Wave ◽  
Excess Deaths

We estimate excess deaths in India during the COVID pandemic using monthly deaths in the sample of privately-conducted, nationally-representative, large, panel data set. The data set includes roughly 174,000 households (1.2 million members) and spans January 2015 - June 2021. We estimate COVID is associated with 3.36 million (95% CI: 2.08-4.63 million) excess deaths, a 17.3% increase in the all-cause death rate, until April 2021. Excess deaths spike during the peaks of the 2 infection waves in India. The second wave is associated with significantly more excess deaths than the first. The age-pattern of deaths is skewed towards the elderly relative to baseline.

scholarly journals THE ROLE OF GENDER-TARGETED CASH TRANSFERS IN INCREASING SCHOOL ENROLLMENT IN PUNJAB, PAKISTAN

2021 ◽  
Vol 9 (2) ◽  
pp. 380-387
Author(s):  
Maria Faiq Javaid ◽  
Atif Khan Jadoon ◽  
Tayyaba Asif ◽  
Ambreen Sarwar
Keyword(s):  
Public Schools ◽  
School Enrollment ◽  
Cash Transfers ◽  
Cash Transfer ◽  
Data Set ◽  
Enrollment Rate ◽  
Household Level ◽  
Transfer Programs ◽  
Major Factors ◽  
The Impact

Purpose of the study: This study is conducted to assess the success of the Female Stipend Program (FSP), started in the province Punjab, Pakistan under the Punjab Education Sector Reform Program in 2003. Methodology: Panel data on household-level collected from years 2016 to 2018 is used for the analysis. The impact of cash transfers (directed towards female students in selected districts of the province) on female school enrollment in public (elementary and high) schools is measured. Enrollment growth in public schools is used as a dependent variable whereas female stipend, the number of schools, student to teacher ratio, the population of the districts, and basic facilities available in public schools are taken as independent variables. The results are obtained by employing Linear Mixed Multilevel Modeling. Main findings: All the variables, except the population of districts, are having a highly significant impact on the enrollment rate in Punjab. Female school's stipend, number of schools in the district, and the accessibility to basic infrastructural facilities have an important impact on female enrollment rate while a high student to teacher ratio negatively contributes to female enrollment rate. Furthermore, districts, where a stipend program is implemented, have higher enrollments as compared to other districts in the province. Application of the study: Outcomes of the study indicate that cash transfer programs directed towards female school enrollment are very fruitful in the case of Punjab. Therefore, such programs should be started in other provinces of the country as well. Novelty/ Originality of the study: The present study contributes to the research gap by using the largest data set available for all 36 districts of the province. To further highlight major factors contributing to high female school enrollments, the study includes school infrastructure, the population of districts, student-teacher ratio, and availability of schools in the model.

scholarly journals Cash Transfer Programs and Household Labor Supply

2020 ◽  
Author(s):  
Daniela Del Boca ◽  
Chiara Pronzato ◽  
Giuseppe Sorrenti
Keyword(s):  
Labor Supply ◽  
Household Labor ◽  
Cash Transfer ◽  
Household Labor Supply ◽  
Transfer Programs

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

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