Jacob Goldin
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View article: Enabling disaggregation of Asian American subgroups: a dataset of Wikidata names for disparity estimation
Enabling disaggregation of Asian American subgroups: a dataset of Wikidata names for disparity estimation Open
View article: Monotone Ecological Inference
Monotone Ecological Inference Open
View article: The Claiming of Children on U.S. Tax Returns
The Claiming of Children on U.S. Tax Returns Open
View article: Work Requirements and Child Tax Benefits
Work Requirements and Child Tax Benefits Open
The largest tax-based social welfare programs in the US limit their benefits to taxpayers with labor market income.Eliminating these work requirements would better target transfers to the neediest families but risks attenuating tax-based i…
View article: Quantifying the Uncertainty of Imputed Demographic Disparity Estimates: The Dual-Bootstrap
Quantifying the Uncertainty of Imputed Demographic Disparity Estimates: The Dual-Bootstrap Open
Measuring average differences in an outcome across racial or ethnic groups is a crucial first step for equity assessments, but researchers often lack access to data on individuals' races and ethnicities to calculate them. A common solution…
View article: Optimal Income Tax Deductions for Mixed Business and Personal Expenditures
Optimal Income Tax Deductions for Mixed Business and Personal Expenditures Open
View article: Quantifying the Uncertainty of Imputed Demographic Disparity Estimates: The Dual-Bootstrap
Quantifying the Uncertainty of Imputed Demographic Disparity Estimates: The Dual-Bootstrap Open
View article: Occupational Licensing and Labor Market Mobility: Evidence from the Legal Profession
Occupational Licensing and Labor Market Mobility: Evidence from the Legal Profession Open
View article: Optimal Income Tax Deductions for Mixed Business and Personal Expenditures
Optimal Income Tax Deductions for Mixed Business and Personal Expenditures Open
View article: Optimal Income Tax Deductions for Mixed Business and Personal Expenditures
Optimal Income Tax Deductions for Mixed Business and Personal Expenditures Open
View article: Optimal Income Tax Deductions for Mixed Business and Personal Expenditures
Optimal Income Tax Deductions for Mixed Business and Personal Expenditures Open
View article: Identifying the Cumulative Causal Effect of a Non-Binary Treatment from a Binary Instrument
Identifying the Cumulative Causal Effect of a Non-Binary Treatment from a Binary Instrument Open
View article: The Spiderweb of Partnership Tax Structures
The Spiderweb of Partnership Tax Structures Open
View article: Child Tax Benefits and Labor Supply: Evidence from California
Child Tax Benefits and Labor Supply: Evidence from California Open
View article: The Claiming of Children on U.S. Tax Returns
The Claiming of Children on U.S. Tax Returns Open
View article: Child Tax Benefits and Labor Supply: Evidence from California
Child Tax Benefits and Labor Supply: Evidence from California Open
View article: Estimating Racial Disparities When Race is Not Observed
Estimating Racial Disparities When Race is Not Observed Open
View article: Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features Open
The vast majority of techniques to train fair models require access to the protected attribute (e.g., race, gender), either at train time or in production. However, in many important applications this protected attribute is largely unavail…
View article: Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection Open
We introduce a new setting, optimize-and-estimate structured bandits. Here, a policy must select a batch of arms, each characterized by its own context, that would allow it to both maximize reward and maintain an accurate (ideally unbiased…
View article: Entropy Regularization for Population Estimation
Entropy Regularization for Population Estimation Open
Entropy regularization is known to improve exploration in sequential decision-making problems. We show that this same mechanism can also lead to nearly unbiased and lower-variance estimates of the mean reward in the optimize-and-estimate s…
View article: How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is Unobserved
How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is Unobserved Open
We address two emerging concerns in algorithmic fairness: (i) redundant encodings of race – the notion that machine learning models encode race with probability nearing one as the feature set grows – which is widely noted in theory, with l…
View article: Estimating Racial Disparities When Race is Not Observed
Estimating Racial Disparities When Race is Not Observed Open
The estimation of racial disparities in various fields is often hampered by the lack of individual-level racial information. In many cases, the law prohibits the collection of such information to prevent direct racial discrimination. As a …
View article: Entropy Regularization for Population Estimation
Entropy Regularization for Population Estimation Open
Entropy regularization is known to improve exploration in sequential decision-making problems. We show that this same mechanism can also lead to nearly unbiased and lower-variance estimates of the mean reward in the optimize-and-estimate s…
View article: Forecasting Algorithms for Causal Inference with Panel Data
Forecasting Algorithms for Causal Inference with Panel Data Open
Conducting causal inference with panel data is a core challenge in social science research. We adapt a deep neural architecture for time series forecasting (the N-BEATS algorithm) to more accurately impute the counterfactual evolution of a…
View article: Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models Open
This study examines issues of algorithmic fairness in the context of systems that inform tax audit selection by the United States Internal Revenue Service (IRS). While the field of algorithmic fairness has developed primarily around notion…
View article: Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models Open
This study examines issues of algorithmic fairness in the context of systems that inform tax audit selection by the United States Internal Revenue Service (IRS). While the field of algorithmic fairness has developed primarily around notion…
View article: Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection Open
We introduce a new setting, optimize-and-estimate structured bandits. Here, a policy must select a batch of arms, each characterized by its own context, that would allow it to both maximize reward and maintain an accurate (ideally unbiased…
View article: fig3b_mcutoffsactive_co3.jpg
fig3b_mcutoffsactive_co3.jpg Open
output figure 3b
View article: Wd_pi1.fig
Wd_pi1.fig Open
output auxiliary figure
View article: internality2.mat
internality2.mat Open
saved matlab calculations for fig 4b