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- Forthcoming
- Article
Estimating Models of Supply and Demand: Instruments and Covariance Restrictions
By: Alexander MacKay and Nathan H. Miller
We consider the identification of empirical models of supply and demand with imperfect competition. We show that a restriction on the covariance between unobserved demand and cost shocks can resolve endogeneity and identify the price parameter. We demonstrate how to... View Details
Keywords: Demand Estimation; Identification; Endogeneity Bias; Covariance Restrictions; Ordinary Least Squares; Instrumental Variables; Price; Demand and Consumers; Competition
MacKay, Alexander, and Nathan H. Miller. "Estimating Models of Supply and Demand: Instruments and Covariance Restrictions." American Economic Journal: Microeconomics (forthcoming). (Direct download.)
- 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.
- 2024
- Working Paper
Choosing and Using Information in Evaluation Decisions
By: Katherine Baldiga Coffman, Scott Kostyshak and Perihan O. Saygin
Most studies of gender discrimination consider how male versus female candidates are assessed given otherwise identical information about them. But, in many settings of interest, evaluators have a choice about how much information to acquire about a candidate before... View Details
- 2009
- Working Paper
Watch What I Do, Not What I Say: The Unintended Consequences of the Homeland Investment Act
By: Dhammika Dharmapala, C. Fritz Foley and Kristin J. Forbes
This paper analyzes the impact on firm behavior of the Homeland Investment Act of 2004, which provided a one-time tax holiday for the repatriation of foreign earnings by U.S. multinationals. The analysis controls for endogeneity and omitted variable bias by using... View Details
Keywords: Investment; Multinational Firms and Management; Government Legislation; Taxation; Business and Shareholder Relations; Behavior; United States
Dharmapala, Dhammika, C. Fritz Foley, and Kristin J. Forbes. "Watch What I Do, Not What I Say: The Unintended Consequences of the Homeland Investment Act." NBER Working Paper Series, No. 15023, June 2009.
- 14 Dec 2017
- HBS Seminar
Andrew Davis, Johnson, Cornell University
- 2014
- Working Paper
Bridging Science and Technology Through Academic-Industry Partnerships
By: Sen Chai and Willy C. Shih
Scientific research and its translation into commercialized technology is a driver of wealth creation and economic growth. Partnerships to foster the translational processes from public research organizations, such as universities and hospitals, to private firms are a... View Details
Keywords: Innovation; Firm Performance; Public-private Partnership Funding; Translational Research; Small And Medium Enterprises; Partners and Partnerships; Public Sector; Private Sector; Performance; Science-Based Business; Innovation and Invention
Chai, Sen, and Willy C. Shih. "Bridging Science and Technology Through Academic-Industry Partnerships." Harvard Business School Working Paper, No. 13-058, January 2013. (Revised July 2014.)
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
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,... View Details
- 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.
- 16 Nov 2016
- HBS Seminar
Ben Shiller, Brandeis University
- June 2011
- Article
Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor
By: Christina Fong and Felix Oberholzer-Gee
It is often difficult for donors to predict the value of charitable giving because they know little about the persons who receive their help. This concern is particularly acute when making contributions to organizations that serve heterogeneous populations. While we... View Details
Keywords: Philanthropy and Charitable Giving; Policy; Information; Knowledge Acquisition; Game Theory; Prejudice and Bias; Poverty; Welfare
Fong, Christina, and Felix Oberholzer-Gee. "Truth in Giving: Experimental Evidence on the Welfare Effects of Informed Giving to the Poor." Special Issue on Charitable Giving and Fundraising Journal of Public Economics 95, nos. 5-6 (June 2011): 436–444.
- 19 May 2015
- First Look
First Look: May 19
decreased volatility of supply shocks and increased volatility of the Fed's long-run inflation target. Endogenous responses of bond risk premia amplify these effects of monetary policy on bond risks. Download working paper:... View Details
Keywords: Sean Silverthorne
- 12 Jul 2016
- First Look
July 12, 2016
endogenously limit their leverage as they internalize the costs. Tightening the commercial banks' capital requirement from the status quo leads to safer commercial banks and more shadow banking activity in the economy. While the safety of... View Details
Keywords: Sean Silverthorne
- Web
Human Behavior & Decision-Making - Faculty & Research
ones. Keywords: Crowdfunding ; Prejudice and Bias ; Race ; Immigration ; Public Opinion Citation Read Now Related Bai, John (Jianqui), William R. Kerr, Chi Wan, and Alptug Yorulmaz. "Everyone Steps Back? The Widespread Retraction of... View Details
- Web
Technology & Innovation - Faculty & Research
and unfunded firms. Because randomization of the sample was not feasible, we address endogeneity around selection bias using a sample of qualitatively similar firms based on a funding decision score. This... View Details
- 06 Jun 2017
- First Look
First Look at New Research and Ideas: June 6, 2017
reallocation accounts for the majority of aggregate productivity gains, suggesting that ignoring this channel could lead to substantial bias in understanding the nature of gains from multinational production. Publisher's link:... View Details
Keywords: Sean Silverthorne
- 06 Nov 2018
- First Look
New Research and Ideas, November 6, 2018
MacKay, Alexander, and Nathan H. Miller Abstract—We consider the identification and estimation of demand systems in models of imperfect competition. Under standard assumptions about demand and supply, the bias that arises from price View Details
Keywords: Dina Gerdeman
- 25 Aug 2015
- First Look
First Look Tuesday
addressing endogeneity concerns. We find that success in men's football and basketball has a significant impact on a school's respective football and basketball revenues; however, the effect is different based on the type of school. We... View Details
- 13 Jan 2009
- First Look
First Look: January 13, 2009
purchase that follows an ad-click (CPA). Our analysis extends classic auction results by allowing players to make bids using two different pricing schemes, while the driving information for bidders' endogenous selection—the conversion... View Details
Keywords: Martha Lagace
- 11 Apr 2017
- First Look
First Look at New Research, April 11
biased forecasts for potential future employers are more likely to face favorable career outcomes and bank executives appear to profit from the analysts' bias since the bias is associated with higher levels... View Details
- 18 Dec 2012
- First Look
First Look: December 18
tractable endogenous growth framework that contains multiple innovation sizes, multi-product firms, and entry/exit. Firms invest in exploration R&D to acquire new product lines and exploitation R&D to improve their existing... View Details
Keywords: Carmen Nobel