PUBLICATIONS

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Textbooks
0
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Modern Business Analytics: Practical Data Science for Decision-Making
with Matt Taddy and Leslie Hendrix, McGraw-Hill, 2022.
Econometrics and Machine Learning
1
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“Monetizing GenAI Personas in Marketing”
with B. Westrich, 2025, working paper.
Econometrics and Machine Learning
2
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“A Shrinkage Based Specification Test”
with C. Lamarche, 2025, submitted.
Econometrics and Machine Learning
3
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“Joint Probability Estimation of Many Binary Outcomes via Localized Adversarial Lasso”
with A. Belloni and Y. Chen, 2025, submitted, Annals of Statistics.
Econometrics and Machine Learning
4
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“Combining Instrumental Variable Estimators for a Panel Model with Factors“
with C. Lamarche and C. Muris, Journal of Business and Economics Statistics, 43, pp. 684-695, 2025.
Econometrics and Machine Learning
5
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“Using Grouped Data to Estimate Revenue Heterogeneity in Online Advertising Auctions”
AEA Papers and Proceedings, 113, pp: 161-164, 2023.
Econometrics and Machine Learning
6
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“Hybrid U-Net: Semantic segmentation of high-resolution satellite images to detect war destruction”
with Nabiee, S., M., Hersh, J. and Bagherzadeh, N., Machine Learning with Applications, 2022.
Econometrics and Machine Learning
7
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“Predicting Mortality from Credit Reports”
with G. De Giorgi and G. Vasconcelos, Financial Planning Review, 2021.
Econometrics and Machine Learning
8
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“Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Quantile Regression Models”
with C. Lamarche and H. Pesaran, Journal of Applied Econometrics, 2020.
Econometrics and Machine Learning
9
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“A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment”
with C. Lamarche, Journal of Econometrics, 2019.
Econometrics and Machine Learning
10
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“Penalized Estimation of a Quantile Count Model for Panel Data”
with C. Lamarche, Annals of Economics and Statistics, 134, 2019.
Econometrics and Machine Learning
11
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“Penalized Quantile Regression with Semiparametric Correlated Effects: An Application with Heterogeneous Preferences"
with C. Lamarche, Journal of Applied Econometrics, 32(2), 342-358, 2017.
Econometrics and Machine Learning
12
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“Finite Sample Bias Corrections for IV Estimation with Weak and Many Instruments”
with J. Hausman, and C. Palmer, Advances in Econometrics, 36, 2016.
Econometrics and Machine Learning
13
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“Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data”
with C. Hu, P. Rai, C. Chen and L. Carin, Machine Learning and Knowledge Discovery in Databases, Vol. 9285, 2015.
Econometrics and Machine Learning
14
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“Scalable Probabilistic Tensor Factorization for Binary and Count Data”
with P. Rai, C. Hu and L. Carin, Proceedings European Conference on Machine Learning (ECML), 2015.
Econometrics and Machine Learning
15
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“Strong Limit of the Extreme Eigenvalues of a Symmetrized Auto-Cross Covariance Matrix”
with Wang, C., B. Jin, Z.D. Bai, K. Nair., Annals of Applied Probability, 2015, 25(6), 3624-3683.
Econometrics and Machine Learning
16
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“A Bayesian Semi-Parametric Competing Risk Model with Unobserved Heterogeneity”
with Burda, M. and J. Hausman, Journal of Applied Econometrics, 2014.
Econometrics and Machine Learning
17
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“Limiting Spectral Distribution of a Symmetrized Auto-Cross Covariance Matrix”
with Jin, B., C. Wang, Z.D. Bai, K. Nair., Annals of Applied Probability, 2014, 24(3), 1199-1225.
Econometrics and Machine Learning
18
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“Estimating and Testing a Quantile Regression Model with Interactive Effects”
with C. Lamarche, Journal of Econometrics, 2013.
Econometrics and Machine Learning
19
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“Panel Probit with Flexible Correlated Effects: Quantifying Technology Spillovers in the Presence of Latent Heterogeneity”
with Burda, M., Journal of Applied Econometrics, 2013.
Econometrics and Machine Learning
20
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“A Poisson Mixture Model of Discrete Choice”
with M. Burda and J. Hausman, Journal of Econometrics, 2012.
Econometrics and Machine Learning
21
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“Quantile Regression Estimation of Panel Duration Models with Censored Data
Advances in Econometrics, 2012.
Econometrics and Machine Learning
22
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“Least Squares Estimation of a Panel Data Model with Multifactor Error Structure and Endogenous Covariates”
with C. Lamarche, Economics Letters, 2011.
Econometrics and Machine Learning
23
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“Quantile Regression for Time-Series-Cross-Section Data”
with Alexander, M. and C. Lamarche. International Journal of Statistics and Management Science, 2011.
Econometrics and Machine Learning
24
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“A Quantile Regression Approach for Estimating Panel Data Models Using Instrumental Variables"
Economics Letters 104(3), 2009.
Econometrics and Machine Learning
25
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“A Bayesian Mixed Logit Probit Model for Multinomial Choice”
with M. Burda and J. Hausman. Journal of Econometrics, 147(2), 232-246, 2008.
Econometrics and Machine Learning
26
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“Explaining the Single Factor Bias of Arbitrage Pricing Models in Finite Samples”
Economics Letters 99(1), 2008.
Econometrics and Machine Learning
27
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“Using a Laplace Approximation to Estimate the Random Coefficients Logit Model by Non- linear Least Squares”
with J. Hausman, International Economic Review 48(4), 2007.
Energy Economics
28
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“Do Behavioral Energy Efficiency Programs Also Reduce Peak Demand Use”
with B. Westrich, 2025, working paper.
Energy Economics
29
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“Behavioral Demand Response without Monetary Incentives”
with B. Westrich, 2025, working paper.
Energy Economics
30
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“The (Alleged) Environmental and Social Benefits of Dynamic Pricing”
with K. Kettler, C. Lamarche, L. Ma, Journal of Economic Behavior and Organization, 2023.
Energy Economics
31
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“Small Steps with Big Data: Using Machine Learning in Resource Economics”
with C. Lamarche, Annual Review of Resource Economics, 2020.
Energy Economics
32
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“Does Absolution Promote Sin? A Conservationist’s Dilemma”
with D. Rapson, Environmental and Resource Economics, 2019.
Energy Economics
33
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“Household Response to Time-Varying Electricity Pricing”
with S. Sexton, Annual Review of Resource Economics, 2017.
Energy Economics
34
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“Empowering Consumers through Data and Smart Technology: Experimental Evidence on the Consequences of Time-of-Use Electricity Pricing Policies”
with C. Lamarche, Journal of Policy Analysis and Management, 35(4), 906-931, 2016.
Energy Economics
35
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“Goal Setting and Energy Conservation”
with A. Hsiaw, Journal of Economic Behavior and Organization, 2014.
Energy Economics
36
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“Environmental Justice: Evidence from Superfund Cleanup Durations”
with M. Burda, Journal of Economic Behavior and Organization, 2014.
Energy Economics
37
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“Split Incentives in Residential Energy Consumption”
with K. Gillingham and D. Rapson, Energy Journal, 33(2): 37-62, 2012.
Health Economics
38
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“Emotional eating in adults: The role of sociodemographics, lifestyle behaviors, and self-regulation—findings from a US National Study”
with Elran Barak, R., Shuval, K., Li, Q., Oetjen, R., Drope, J., Yaroch, A.L., Fennis, B.M., International Journal of Environmental Research and Public Health, 2021.
Health Economics
39
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“Heterogeneity in the Effects of Food Vouchers on Nutrition Among Low-Income Adults: A Quantile Regression Analysis”
with J. White, G. Vasoncelos, M. Carroll, C. Gardner, S. Basu, H. Seligman, American Journal of Health Promotion, 2020.
Health Economics
40
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“Evaluating a USDA pilot program to incentivize the purchase of fresh produce among SNAP beneficiaries in supermarkets”
with P. Rummo, D. Noriega, A. Parret, O. Hesterman and B. Elbel, Health Affairs, 2019.
Health Economics
41
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“The Sales Impact of Featuring Healthy Foods, Indulgent Foods, or Both: Findings from a Large-Scale Retail Field Study”
with G. Fitzsimons and P. Liu, Journal of the Association for Consumer Research, 2018.
Health Economics
42
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“The intergenerational transmission of obesity: The role of time preferences and self-control”
with Michal Stoklosa, Kerem Shuval, Jeffrey Drope, Rusty Tchernis, Mark Pachucki, Amy Yaroch, Economics and Human Biology, 28, 92-106, 2018.
Health Economics
43
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“The Effect of Prices on Nutrition: Comparing the Impact of Product- and Nutrient-Specific Taxes”
with M. Lovenheim, Journal of Health Economics, 53, 53-71, 2017.
Health Economics
44
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“No Fat, No Sugar, No Salt... No Problem? Prevalence of “Low-Content” Nutrient Claims and Their Associations with the Nutritional Profile of Food and Beverage Purchases in the United States”
with L. Tailie, S. Ng, Y. Xue, and E. Busey, Journal of the Academy of Nutrition and Dietetics, 117(9), 1366-13674, 2017.
Health Economics
45
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“Deal or no deal? The prevalence and nutritional quality of price promotions among US food and beverage purchases”
with L. Tailie, S. Ng and Y. Xue, Appetite, 117, 365-372, 2017.
Health Economics
46
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“Does Breastfeeding Duration Decrease Childhood Obesity? An Instrumental Variables Analysis of Births in Oregon in 2009”
with S. Basu, M. Bartick, E. Rodriguez, J. White, Pediatric Obesity, 12(4), 304-311, 2017.
Health Economics
47
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“Time Preferences and Physical Activity: Insights from Behavioral Economics”
with K. Shuval, J. Drope, M. Stoklosa, A. Yaroch and M. Pachucki, Health Behavior and Policy Review 4(1), 53-59, 2017.
Health Economics
48
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“Economic Preferences and Fast Food Consumption in US adults: Insights from Behavioral Economics”
with K. Shuval, M. Stoklosa, M. Pachucki, A. Yaroch, J. Drope, Preventive Medicine 93, 204-210, 2016.
Health Economics
49
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“The Effect of Statutory Rape Laws on Teen Birth Rates”
with M. Frakes, American Law and Economics Review, 2015.
Health Economics
50
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“Within-Family Obesity Associations: Evaluation of Parent, Child, and Sibling Relationships"
Pachucki, M., M. Lovenheim, and M. Harding, American Journal of Preventive Medicine, 47 (4), 2014.
Health Economics
51
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“The Heterogeneous Geographic and Socioeconomic Incidence of Cigarette Taxes: Evidence from Nielsen HomeScan Data”
with E. Leibtag and M. Lovenheim, American Economic Journal: Economic Policy, 2012.
Health Economics
52
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“Quantifying the Impact of Economic Crises on Infant Mortality in Advanced Economies”
with M. Alexander and C. Lamarche, Applied Economics, 2010.
Health Economics
53
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“The Deterrent Effect of Expansions in Death-Penalty Eligibility Criteria”
with M. Frakes, American Law and Economics Review, 2009.
Books Chapters and Other Works
54
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“Big Data in Economics”
with J. Hersh, IZA World of Labor, 2018.
Books Chapters and Other Works
55
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“Deep Autoencoder for Pattern Identification in High-Dimensional Consumer Purchase Data”
with A. Parret and Y. Xue, working paper, 2018.
Books Chapters and Other Works
56
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“Improving Convergence in the Bayesian Mixed Logit Choice Model”
with J. Hausman and Y. Xue, working paper, 2018.
Books Chapters and Other Works
57
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“Measurement & Verification for Behavioral Programs: Evaluating Programs That Have Gone Full-Scale”
EPRI, Palo Alto, CA: 3002001269, 2014.
Books Chapters and Other Works
58
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“Good Data Public Policies”
in The Future of Data-Driven Innovation, US Chamber of Commerce, 2014.
Books Chapters and Other Works
59
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“Enforcing Regulation: The Impact of Violating Drinking Water Standards on Infant Health at Birth in the US”
SIEPR Stanford University, 2013.
Books Chapters and Other Works
60
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“Agreement beyond Polarization: Spectral Network Analysis of Congressional Roll Call Votes”
working paper, 2008.
Books Chapters and Other Works
61
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“Endogenous and Schumpeterian Growth (Chapter 14)”
Carlin, W., D. Soskice, and M. Harding in Macroeconomics: Imperfections, Institutions and Policies, OUP, 2006.
Books Chapters and Other Works
62
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“Exogenous Growth Theory (Chapter 13)”
Carlin, W., D. Soskice, and M. Harding in Macroeconomics: Imperfections, Institutions and Policies, OUP, 2006.
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