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- Faculty Publications (129)
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- Article
Value of Information with Sequential Futures Markets
By: Jerry R. Green
The effects of an improvement in information on the efficiency of risk-bearing are studied under various systems of incomplete markets. With sequential futures markets for uncontingent delivery, the welfare effects are indeterminate in sign, except under special... View Details
Green, Jerry R. "Value of Information with Sequential Futures Markets." Econometrica 49, no. 2 (March 1981): 335–358.
- 1979
- Article
Approximating the Efficiency Gain of Tax Reforms
By: Jerry R. Green and Eytan Sheshinski
Proper analysis of tax reform requires evaluation of the welfare effects induced by a change from one tax system to another. We present two methods for estimating these changes using only local information pertaining to an initial equilibrium with distortive taxes. It... View Details
Green, Jerry R., and Eytan Sheshinski. "Approximating the Efficiency Gain of Tax Reforms." Journal of Public Economics 11, no. 2 (1979): 179–195.
- Article
Optimal Capital-Gains Taxation under Limited Information
By: Jerry R. Green and Eytan Sheshinski
Taxation of capital gains at realization may distort individuals' decisions regarding holding or selling during an asset's lifetime. This creates the problem of designing a tax structure for capital gains so as to induce efficient patterns of holding and selling.... View Details
Green, Jerry R., and Eytan Sheshinski. "Optimal Capital-Gains Taxation under Limited Information." Journal of Political Economy 86, no. 6 (December 1978): 1143–1158.
- 1975
- Working Paper
Information, Efficiency and Equilibrium
By: Jerry R. Green
When economic agents receive information over time concerning future events it is likely that prices for commodities whose value is influenced by these events will fluctuate in response to changes in the state of knowledge. If such events occur periodically,... View Details
Green, Jerry R. "Information, Efficiency and Equilibrium." Harvard Institute of Economic Research Discussion Paper, No. 284, December 1975.
- Forthcoming
- Article
Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment
By: Shunyuan Zhang and Das Narayandas
We examine how artificial intelligence (AI) affected the productivity of customer service agents and customer sentiment in online interactions. Collaborating with a meal delivery company, we conducted a randomized field experiment that exploited exogenous variation in... View Details
- Research Summary
Overview
By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
- Forthcoming
- Article
Passive Ownership and Price Informativeness
By: Marco Sammon
I show that passive ownership negatively affects the degree to which stock prices anticipate earnings announcements. Estimates across several research designs imply that the rise in passive ownership over the last 30 years has caused the amount of information... View Details
Keywords: Passive Ownership; ETFs; Market Efficiency; Price; Investment Funds; Stocks; Communication
Sammon, Marco. "Passive Ownership and Price Informativeness." Management Science (forthcoming). (Pre-published online September 17, 2024.)
- Research Summary
Personal Data in Marketing
By: John A. Deighton
Between 10% and 20% of all marketing activity in the United States, and a smaller proportion internationally, relies on data about individuals, whether personally identifying or pseudonomized. These data flow across a system of established and emerging firms operating... View Details
- Forthcoming
- Article
Slowly Varying Regression Under Sparsity
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Bertsimas, Dimitris, Vassilis Digalakis Jr, Michael Lingzhi Li, and Omar Skali Lami. "Slowly Varying Regression Under Sparsity." Operations Research (forthcoming). (Pre-published online March 27, 2024.)
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