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- All HBS Web (17)
- Faculty Publications (7)
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- All HBS Web (17)
- Faculty Publications (7)
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- August 2020
- Technical Note
Comparing Two Groups: Sampling and t-Testing
This note describes sampling and t-tests, two fundamental statistical concepts. View Details
Keywords: Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Analytics and Data Science; Analysis; Surveys; Mathematical Methods
Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
- 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.
- 01 Aug 2012
- News
ISO standards stamp approval
- 20 Jan 2012
- News
LRQA talks to world’s leading management systems expert
- Research Summary
Evolution of Competitive Advantage
Anita M. McGahan is studying the evolution of competitive advantage among firms in a cross section of industries. She is particularly interested in the structural conditions that enable firms to develop an enduring competitive advantage in new markets. McGahan has... View Details
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
Michael W. Toffel
Professor Toffel is the Senator John Heinz Professor of Environmental Management. His research examines how companies are addressing climate change (especially decarbonization) and other environmental and working condition issues in their operations and supply... View Details
- Summer 2012
- Article
Epistemic Contests and the Legitimacy of the World Trade Organization: The Brazil–USA Cotton Dispute and the Incremental Balancing of Interests
By: Arthur A. Daemmrich
The World Trade Organization (WTO) features prominently in studies of international institutions, often cast either as a tool of rich-world domination over the poorer South or as a neutral mediator facilitating a tariff-free world of economic prosperity. This article... View Details
Keywords: Organizations; Trade; Conflict and Resolution; Consumer Products Industry; Brazil; United States
Daemmrich, Arthur A. "Epistemic Contests and the Legitimacy of the World Trade Organization: The Brazil–USA Cotton Dispute and the Incremental Balancing of Interests." Special Issue on Dispute Settlement at the WTO. Trade, Law and Development 4, no. 1 (Summer 2012): 200–240.
- 23 Jan 2018
- First Look
First Look at New Research and Ideas, January 23, 2018
collateral consequences of idle time; when workers expect idle time following a task, their work pace declines and their task completion time increases. This decline reverses the well-documented deadline effect, producing a dead-time effect, whereby workers slow down... View Details
Keywords: Sean Silverthorne
- 20 Oct 2010
- Op-Ed
Export Competitiveness: Reversing the Logic
(Grossman/Helpman, 1991). Exports, then, might not be beneficial per se, but only if they occur in the "right" activities. The empirical analyses tried to provide insights into the factual linkages between trade and growth. Many... View Details
Keywords: by Christian Ketels
- 01 Sep 2015
- First Look
First Look -- September 1, 2015
logic than firms utilize to organize market resources.) Second, there has been very little (if any) significant research linking firm strategy to both nonmarket outcomes and firm performance. Most research has developed theories and/or empirical View Details
Keywords: Sean Silverthorne
- 20 Dec 2011
- First Look
First Look: December 20
analyses indicate that "All-Star" recognition proxies for buy-side client votes on analyst research quality used to allocate commissions across banks and analysts. Taken as a whole, our evidence is consistent with analyst... View Details
Keywords: Carmen Nobel
- 04 Nov 2014
- First Look
First Look: November 4
now own over 80% of banking assets in Mexico, and we show how, using a political economy model and a series of econometric tests, this has helped to stabilize the system and reduced non-performance loans, but it has also increased the... View Details
Keywords: Sean Silverthorne
- 11 Mar 2014
- First Look
First Look: March 11
of historical change. Sadly, the field of entrepreneurship as it has evolved in recent decades has become narrow and is often confined to little more than econometric testing of large datasets concerning high tech entrepreneurs in the... View Details
Keywords: Sean Silverthorne
- 16 Dec 2011
- Research & Ideas
Reintroducing Intellectual Ambition to the Study of Business History
Business historians can profit from careful analyses of government and personal archives to reconstruct the early "start-up" phases of firms—and to uncover the role that other organizational forms, such as partnerships, played... View Details
Keywords: by Geoffrey Jones & Walter Friedman
- 28 Aug 2012
- First Look
First Look: August 28
rich-world domination over the poorer South or as a neutral mediator facilitating a tariff-free world of economic prosperity. This article instead analyses how the WTO has sought legitimacy for itself and for the underlying institution of... View Details
Keywords: Sean Silverthorne