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KU Leuven (11)


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book (11)


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English (11)


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Book
Experimentation at Scale
Authors: --- ---
Year: 2017 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

This paper makes the case for greater use of randomized experiments "at scale." We review various critiques of experimental program evaluation in developing countries, and discuss how experimenting at scale along three specific dimensions - the size of the sampling frame, the number of units treated, and the size of the unit of randomization - can help alleviate them. We find that program evaluation randomized controlled trials published in top journals over the last 15 years have typically been "small" in these senses, but also identify a number of examples - including from our own work - demonstrating that experimentation at much larger scales is both feasible and valuable.

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Book
Building State Capacity : Evidence from Biometric Smartcards in India
Authors: --- --- ---
Year: 2014 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Anti-poverty programs in developing countries are often difficult to implement; in particular, many governments lack the capacity to deliver payments securely to targeted beneficiaries. We evaluate the impact of biometrically-authenticated payments infrastructure ("Smartcards") on beneficiaries of employment (NREGS) and pension (SSP) programs in the Indian state of Andhra Pradesh, using a large-scale experiment that randomized the rollout of Smartcards over 158 sub- districts and 19 million people. We find that, while incompletely implemented, the new system delivered a faster, more predictable, and less corrupt NREGS payments process without adversely affecting program access. For each of these outcomes, treatment group distributions first-order stochastically dominated those of the control group. The investment was cost-effective, as time savings to NREGS beneficiaries alone were equal to the cost of the intervention, and there was also a significant reduction in the "leakage" of funds between the government and beneficiaries in both NREGS and SSP programs. Beneficiaries overwhelmingly preferred the new system for both programs. Overall, our results suggest that investing in secure payments infrastructure can significantly enhance "state capacity" to implement welfare programs in developing countries.

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Book
Universal Basic Income in the Developing World
Authors: --- --- ---
Year: 2019 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

Should developing countries give everyone enough money to live on? Interest in this idea has grown enormously in recent years, reflecting both positive results from a number of existing cash transfer programs and also dissatisfaction with the perceived limitations of piecemeal, targeted approaches to reducing extreme poverty. We discuss what we know (and what we do not) about three questions: what recipients would likely do with the incremental income, whether this would unlock further economic growth, and the potential consequences of giving the money to everyone (as opposed to targeting it).

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Book
Managing Self-Confidence : Theory and Experimental Evidence
Authors: --- --- --- ---
Year: 2011 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

Evidence from social psychology suggests that agents process information about their own ability in a biased manner. This evidence has motivated exciting research in behavioral economics, but has also garnered critics who point out that it is potentially consistent with standard Bayesian updating. We implement a direct experimental test. We study a large sample of 656 undergraduate students, tracking the evolution of their beliefs about their own relative performance on an IQ test as they receive noisy feedback from a known data-generating process. Our design lets us repeatedly measure the complete relevant belief distribution incentive-compatibly. We find that subjects (1) place approximately full weight on their priors, but (2) are asymmetric, over-weighting positive feedback relative to negative, and (3) conservative, updating too little in response to both positive and negative signals. These biases are substantially less pronounced in a placebo experiment where ego is not at stake. We also find that (4) a substantial portion of subjects are averse to receiving information about their ability, and that (5) less confident subjects are causally more likely to be averse. We unify these phenomena by showing that they all arise naturally in a simple model of optimally biased Bayesian information processing.

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Book
Targeting Impact versus Deprivation
Authors: --- --- --- --- --- et al.
Year: 2022 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

Targeting is a core element of anti-poverty program design, with benefits typically targeted to those most "deprived" in some sense (e.g., consumption, wealth). A large literature in economics examines how to best identify these households feasibly at scale, usually via proxy means tests (PMTs). We ask a different question, namely, whether targeting the most deprived has the greatest social welfare benefit: in particular, are the most deprived those with the largest treatment effects or do the "poorest of the poor" sometimes lack the circumstances and complementary inputs or skills to take full advantage of assistance? We explore this potential trade-off in the context of an NGO cash transfer program in Kenya, utilizing recent advances in machine learning (ML) methods (specifically, generalized random forests) to learn PMTs that target both a) deprivation and b) high conditional average treatment effects across several policy-relevant outcomes. We find that targeting solely on the basis of deprivation is generally not attractive in a social welfare sense, even when the social planner's preferences are highly redistributive. We show that a planner using simpler prediction models, based on OLS or less sophisticated ML approaches, could reach divergent conclusions. We discuss implications for the design of real-world anti-poverty programs at scale.

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Book
General Equilibrium Effects of Cash Transfers : Experimental Evidence from Kenya
Authors: --- --- --- --- --- et al.
Year: 2019 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

How large economic stimuli generate individual and aggregate responses is a central question in economics, but has not been studied experimentally. We provided one-time cash transfers of about USD 1000 to over 10,500 poor households across 653 randomized villages in rural Kenya. The implied fiscal shock was over 15 percent of local GDP. We find large impacts on consumption and assets for recipients. Importantly, we document large positive spillovers on non-recipient households and firms, and minimal price inflation. We estimate a local transfer multiplier of 2.4. We interpret welfare implications through the lens of a simple household optimization framework.

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Book
Improving Last-Mile Service Delivery using Phone-Based Monitoring
Authors: --- --- --- ---
Year: 2018 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

Improving "last-mile" public-service delivery is a recurring challenge in developing countries. Could the widespread adoption of mobile phones provide a scalable, cost-effective means for improvement? We use a large-scale experiment to evaluate the impact of phone-based monitoring on a program that transferred nearly a billion dollars to 5.7 million Indian farmers. In randomly-selected jurisdictions, officials were informed that program implementation would be measured via calls with beneficiaries. This led to a 7.6% reduction in the number of farmers who did not receive their transfers. The program was highly cost-effective, costing 3.6 cents for each additional dollar delivered.

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Book
Customized Cash Transfers : Financial Lives and Cash-flow Preferences in Rural Kenya
Authors: --- --- ---
Year: 2023 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

We examine the preferences of low-income households in Kenya over the structure of unconditional cash transfers. We find, first, that most prefer lumpier transfers, and many prefer delayed receipt--unlike the structures typical of safety-net programs, but consistent with evidence on the financial challenges of poverty. Second, poverty itself affects preferences: a little more financial slack when deciding increases desired delay. Finally, financial slack pays back: some delay--aligning transfers better with the seasonal cycle--increases deliberation, income, and goal progress 1.5 years later. Adapting cash transfer design to recipients' decision-making environment could improve their financial choices and outcomes.

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Book
Identity Verification Standards in Welfare Programs : Experimental Evidence from India
Authors: --- --- ---
Year: 2020 Publisher: Cambridge, Mass. National Bureau of Economic Research

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We evaluate reforms that integrated more stringent, biometric ID requirements into India's largest social protection program, using large-scale randomized and natural experiments. Corruption fell but with substantial costs to legitimate beneficiaries, 1.5-2 million of whom lost access to benefits at some point during the reforms. Adverse effects appear to have been driven primarily by decisions about the way the transition was managed, illustrating both the risks of rapid reforms, and how the impacts of promising new technologies can be highly sensitive to the protocols governing their use.

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Book
General Equilibrium Effects of (Improving) Public Employment Programs : Experimental Evidence from India
Authors: --- --- ---
Year: 2017 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

Public employment programs may affect poverty both directly through the income they provide and indirectly through general-equilibrium effects. We estimate both effects, exploiting a reform that improved the implementation of India's National Rural Employment Guarantee Scheme (NREGS) and whose rollout was randomized at a large (sub-district) scale. The reform raised beneficiary households' earnings by 14%, and reduced poverty by 26%. Importantly, 86%of income gains came from non-program earnings, driven by higher private-sector (real) wages and employment. This pattern appears to reflect imperfectly competitive labor markets more than productivity gains: worker's reservation wages increased, land returns fell, and employment gains were higher in villages with more concentrated landholdings. Non-agricultural enterprise counts and employment grew rapidly despite higher wages, consistent with a role for local demand in structural transformation. These results suggest that public employment programs can effectively reduce poverty in developing countries, and may also improve economic efficiency.

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