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- 2024
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details
Keywords: AI and Machine Learning; Forecasting and Prediction; Working Conditions; Performance Productivity
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
- April 2024
- Article
Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads
By: Samuel G. Hanson, Aytek Malkhozov and Gyuri Venter
We develop and test a model in which swap spreads are determined by end users' demand for
and constrained intermediaries’ supply of long-term interest rate swaps. Swap spreads reflect
compensation both for using scarce intermediary capital and for bearing convergence... View Details
Keywords: Swap Spreads; Credit Derivatives and Swaps; Interest Rates; Risk and Uncertainty; Volatility
Hanson, Samuel G., Aytek Malkhozov, and Gyuri Venter. "Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads." Art. 103814. Journal of Financial Economics 154 (April 2024).
- 2023
- Working Paper
Causal Interpretation of Structural IV Estimands
By: Isaiah Andrews, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan and Jesse M. Shapiro
We study the causal interpretation of instrumental variables (IV) estimands of nonlinear, multivariate structural models with respect to rich forms of model misspecification. We focus on guaranteeing that the researcher's estimator is sharp zero consistent, meaning... View Details
Keywords: Mathematical Methods
Andrews, Isaiah, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan, and Jesse M. Shapiro. "Causal Interpretation of Structural IV Estimands." NBER Working Paper Series, No. 31799, October 2023.
- 2023
- Working Paper
Trusting Talent: Cross-Country Differences in Hiring
By: Letian Zhang and Shinan Wang
This article argues that a society’s social trust influences employers’ hiring strategies. In selecting workers, employers could either focus on applicants’ potential and select on foundational skills (e.g., social skills, math skills) or focus on their readiness and... View Details
Keywords: Selection and Staffing; Trust; Competency and Skills; Cross-Cultural and Cross-Border Issues; European Union
Zhang, Letian, and Shinan Wang. "Trusting Talent: Cross-Country Differences in Hiring." Working Paper, October 2023.
- September 2023
- Article
Consuming Contests: The Effect of Outcome Uncertainty on Spectator Attendance in the Australian Football League
By: Patrick Ferguson and Karim R. Lakhani
Contests that non-contestants consume for entertainment are a fixture of economic, cultural and political life. We exploit injury-induced changes to teams' line-ups in a professional sports setting to examine whether individuals prefer to consume contests that have... View Details
Ferguson, Patrick, and Karim R. Lakhani. "Consuming Contests: The Effect of Outcome Uncertainty on Spectator Attendance in the Australian Football League." Economic Record 99, no. 326 (September 2023): 410–435.
- March–April 2023
- Article
Pricing for Heterogeneous Products: Analytics for Ticket Reselling
By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 2022
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and... View Details
Keywords: Employees; Human Capital; Performance; Applications and Software; Management Skills; Management Practices and Processes; Retail Industry
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, December 2022. (R&R Management Science.)
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- 2022
- Working Paper
The Effect of Employee Lateness and Absenteeism on Store Performance
By: Caleb Kwon and Ananth Raman
We empirically analyze the effects of employee lateness and absenteeism on store performance by examining 25.5 million employee shift timecards covering more than 100,000 employees across more than 500 U.S. retail grocery store locations over a four year time period.... View Details
Kwon, Caleb, and Ananth Raman. "The Effect of Employee Lateness and Absenteeism on Store Performance." Working Paper, August 2022.
- August, 2022
- Article
Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the United States
By: Vasiliki Fouka and Marco Tabellini
How do social group boundaries evolve? Does the appearance of a new outgroup change the ingroup's perceptions of other outgroups? We introduce a conceptual framework of context-dependent categorization, in which exposure to one minority leads to recategorization of... View Details
Keywords: In-group-out-group Relations; Ingroup-outgroup Relations; Immigration; Race; Relationships; United States
Fouka, Vasiliki, and Marco Tabellini. "Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the United States." American Political Science Review 116, no. 3 (August, 2022): 968–984. (Featured in the Boston Globe, Washington Post, and HBS Working Knowledge.)
- 2022
- Working Paper
Transferable Skills? Founders as Venture Capitalists
By: Paul A. Gompers and Vladimir Mukharlyamov
In this paper we explore whether or not the experience as a founder of a venture capital-backed startup influences the performance of founders who become venture capitalists (VCs). We find that nearly 7% of VCs were previously founders of a venture-backed startup.... View Details
Keywords: Founders; Venture Capital; Entrepreneurship; Performance; Personal Development and Career; Success
Gompers, Paul A., and Vladimir Mukharlyamov. "Transferable Skills? Founders as Venture Capitalists." NBER Working Paper Series, No. 29907, April 2022.
- 2021
- Working Paper
COVID-19, Government Performance, and Democracy: Survey Experimental Evidence from 12 Countries
By: Michael Becher, Nicholas Longuet Marx, Vincent Pons, Sylvain Brouard, Martial Foucault, Vincenzo Galasso, Eric Kerrouche, Sandra León Alfonso and Daniel Stegmueller
Beyond its immediate impact on public health and the economy, the COVID-19 pandemic has put democracy under stress. While a common view is that people should blame the government rather than the political system for bad crisis management, an opposing view is that... View Details
Keywords: COVID-19 Pandemic; Government Performance; Democracy; Health Pandemics; Government and Politics; Crisis Management; Public Opinion
Becher, Michael, Nicholas Longuet Marx, Vincent Pons, Sylvain Brouard, Martial Foucault, Vincenzo Galasso, Eric Kerrouche, Sandra León Alfonso, and Daniel Stegmueller. "COVID-19, Government Performance, and Democracy: Survey Experimental Evidence from 12 Countries." NBER Working Paper Series, No. 29514, November 2021. (Revise and resubmit requested, The Journal of Politics.)
- November 2021
- Article
The Effects of Retirement on Sense of Purpose in Life: Crisis or Opportunity?
By: Ayse Yemiscigil, Nattavudh Powdthavee and Ashley V. Whillans
Does retirement lead to an existential crisis or present an opportunity to experience a renewed sense of purpose in life? Prior research has documented a negative association between retirement and sense of purpose in life, suggesting that retirement could lead people... View Details
Yemiscigil, Ayse, Nattavudh Powdthavee, and Ashley V. Whillans. "The Effects of Retirement on Sense of Purpose in Life: Crisis or Opportunity?" Psychological Science 32, no. 11 (November 2021): 1856–1864.
- October 2021
- Article
And the Children Shall Lead: Gender Diversity and Performance in Venture Capital
By: Paul A. Gompers and Sophie Calder-Wang
With an overall lack of gender and ethnic diversity in the innovation sector documented in Gompers and Wang (2017), we ask the natural next question: Does increased diversity lead to better firm performances? In this paper, we attempt to answer this question using a... View Details
Gompers, Paul A., and Sophie Calder-Wang. "And the Children Shall Lead: Gender Diversity and Performance in Venture Capital." Journal of Financial Economics 142, no. 1 (October 2021): 1–22.
- December 2020
- Article
Taking Innovation to the Streets: Micro-geography, Physical Structure and Innovation
By: Maria P. Roche
In this paper, we analyze how the physical layout of cities affects innovation by influencing the organization of knowledge exchange. We exploit a novel data set covering all Census Block Groups in the contiguous United States with information on innovation outcomes,... View Details
Keywords: Microgeography; Innovation; Street Infrastructure; Knowledge Exchange; Interactions; Geography; City; Innovation and Invention; Knowledge Sharing
Roche, Maria P. "Taking Innovation to the Streets: Micro-geography, Physical Structure and Innovation." Review of Economics and Statistics 102, no. 5 (December 2020): 912–928.
- 2023
- Working Paper
When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program
By: Alexander Bartik, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton and Adi Sunderam
What happens when public resources are allocated by private companies whose objectives may be
imperfectly aligned with policy goals? We study this question in the context of the Paycheck
Protection Program (PPP), which relied on private banks to disburse aid to small... View Details
Keywords: Paycheck Protection Program; Targeting; Impact; Entrepreneurship; Health Pandemics; Small Business; Financing and Loans; Outcome or Result; United States
Bartik, Alexander, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton, and Adi Sunderam. "When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program." Harvard Business School Working Paper, No. 21-021, August 2020. (Revised July 2023.)
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
- July 2020
- Article
Higher Economic Inequality Intensifies the Financial Hardship of People Living in Poverty by Fraying the Community Buffer
By: Jon M. Jachimowicz, Barnabas Szaszi, Marcel Lukas, David Smerdon, Jaideep Prabhu and Elke U. Weber
The current research investigates whether higher economic inequality disproportionately intensifies the financial hardship of low-income individuals. We propose that higher economic inequality increases financial hardship for low-income individuals by reducing their... View Details
Keywords: Economic Inequalty; Economy; Income; Equality and Inequality; Poverty; Civil Society or Community
Jachimowicz, Jon M., Barnabas Szaszi, Marcel Lukas, David Smerdon, Jaideep Prabhu, and Elke U. Weber. "Higher Economic Inequality Intensifies the Financial Hardship of People Living in Poverty by Fraying the Community Buffer." Special Issue on Racism in Action. Nature Human Behaviour 4, no. 7 (July 2020): 702–712.
- 2021
- Working Paper
Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the U.S.
By: Vasiliki Fouka and Marco Tabellini
How do social group boundaries evolve? Does the appearance of a new outgroup change the ingroup's perceptions of other outgroups? We introduce a conceptual framework of context-dependent categorization, in which exposure to one minority leads to recategorization of... View Details
Keywords: In-group-out-group Relations; Immigration; Race; Attitudes; Boundaries; Prejudice and Bias
Fouka, Vasiliki, and Marco Tabellini. "Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the U.S." Harvard Business School Working Paper, No. 20-100, March 2020. (Accepted at American Political Science Review. Revised June 2021.)