The Magic What-If Machine - Kaur, Jasleen
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How do we find the TRUE CAUSE of what happens? When Momo drinks a special smoothie and wonders, "but how do we REALLY know if it makes me jump higher?", she and her twin Puri discover the economist's secret: comparing "what is" with "what would have been." Playground adventures that teach the same tools economists use to find answers. Prepare for "aha!" moments at any age! Building tomorrow's problem-solvers, one story at a time. This is Volume 1 of the Impact Evaluation Series for Children and a brief introduction to the concept of Counterfactuals in Research Design and Methodology.

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Produktbeschreibung
How do we find the TRUE CAUSE of what happens? When Momo drinks a special smoothie and wonders, "but how do we REALLY know if it makes me jump higher?", she and her twin Puri discover the economist's secret: comparing "what is" with "what would have been." Playground adventures that teach the same tools economists use to find answers. Prepare for "aha!" moments at any age! Building tomorrow's problem-solvers, one story at a time. This is Volume 1 of the Impact Evaluation Series for Children and a brief introduction to the concept of Counterfactuals in Research Design and Methodology.
Autorenporträt
Jasleen is a policy researcher and data analyst with a PhD in Public Policy from UT Austin, where her dissertation examined gender dynamics in international development organizations through analysis of 3,500 Asian Development Bank projects. Her research expertise spans experimental design, causal inference, and large-scale impact evaluation, developed through roles at prestigious institutions including J-PAL South Asia. At J-PAL, she led a randomized controlled trial with nearly 8,000 participants evaluating gender interventions across rural India. At the time of writing this book, she is working at Uptogether as a Survey Analyst, conducting longitudinal analysis of cash transfer impacts. She specializes in translating complex statistical analyses into actionable policy recommendations. Her work has been published in peer-reviewed journals and presented at international conferences. She is driven by the belief that rigorous data analysis can inform more effective, equitable policies that strengthen communities.