Using Big Data to Solve Economic and Social Problems

This lecture introduces empirical methods to analyze intergenerational income mobility in the United States, drawing on the Opportunity Atlas dataset to map geographic variations in economic outcomes. It examines the role of local factors in shaping children's adult earnings relative to their parents.

This lecture explores methodologies for identifying the causal impact of neighborhood environments on individual economic and social outcomes. It examines natural experiment designs and quasi-experimental methods to disentangle correlation from causation in urban studies.

This lecture from Harvard's "Using Big Data to Solve Economic and Social Problems" course rigorously compares 'Moving to Opportunity' policies with 'Place-Based Approaches' in social welfare, analyzing empirical evidence and policy implications.

This lecture, part of Harvard's ECON 1152, explores the historical evolution of the American Dream, analyzing trends in intergenerational economic mobility and the factors contributing to changes in opportunity structures over time. It examines empirical evidence using large-scale datasets.

This lecture examines the empirical relationship between upward mobility, innovation rates, and macroeconomic growth, drawing on large-scale administrative data. It explores mechanisms by which policy interventions might foster increased economic opportunity.

This lecture, part of Harvard's 'Using Big Data to Solve Economic and Social Problems' course, examines the role of higher education institutions in facilitating upward economic mobility using empirical evidence and large-scale datasets.

This lecture examines econometric methods for estimating the causal effects of college attendance on socioeconomic outcomes. It discusses identification strategies to address selection bias in educational attainment.

This lecture examines empirical findings from large-scale datasets to analyze the impact of primary education systems on long-term economic mobility and opportunity. Students will learn methods for evaluating educational interventions.

This session investigates the role of teacher quality and charter school models in shaping student outcomes using big data analytics. It delves into the empirical evidence surrounding these educational reforms.

The lecture explores the structural and systemic factors contributing to racial disparities in economic opportunity, leveraging large administrative datasets. It analyzes mechanisms of intergenerational mobility across different racial groups.

This lecture applies big data methods to analyze interventions aimed at improving population health outcomes. It explores the efficacy of various public health policies and their socioeconomic determinants.

This session analyzes the complex economics of healthcare markets and insurance systems, utilizing empirical evidence from large datasets. It examines policy implications for access, cost, and quality of care.

This lecture investigates how data analysis can inform and potentially improve judicial decision-making processes. It examines empirical studies on bias, efficiency, and fairness within legal systems.

This lecture employs big data to quantify the economic and health impacts of air and water pollution. It explores methodologies for causal inference in environmental economics and policy evaluation.

This session evaluates the economic effectiveness of various policies designed to mitigate climate change, drawing on empirical evidence and large-scale data. It discusses carbon taxes, regulations, and market-based solutions.

This lecture delves into the principles and empirical effects of income taxation using big data. It analyzes the impact of tax policies on labor supply, savings, and income distribution.

This session integrates insights from behavioral economics with public policy design, examining how psychological biases affect economic decisions and policy outcomes. It explores nudges and other behavioral interventions.

This lecture explores the fundamental role of institutions in fostering or hindering economic development, leveraging cross-country and micro-level data. It analyzes the impact of governance, property rights, and social capital.