Data and Data Sets - Publications - Faculty & Research

2020
Working Paper

An Empirical Guide to Investor-Level Private Equity Data from Preqin

By: Juliane Begenau, Claudia Robles-Garcia, Emil Siriwardane and Lulu Wang

This note provides guidance on the use of investor-level private equity data from Preqin for empirical research. Preqin primarily sources its cash flow data through Freedom of Information Act (FOIA) requests with U.S. public pensions. Our focus is on the components of... View Details

Keywords: Private Equity Returns; Prequin Data; Private Equity; Analytics and Data Science; Investment Return

Citation

SSRN

Article

Core Earnings: New Data and Evidence

By: Ethan Rouen, Eric C. So and Charles C.Y. Wang

Using a novel dataset, we show that components of firms' GAAP earnings stemming from ancillary business activities or transitory shocks are significant in frequency and magnitude. These components have grown over time and are dispersed across various sections of the... View Details

Keywords: Core Earnings; Transitory Earnings; Non-operating Earnings; Quantitative Disclosures; Equity Valuation; Big Data; Business Earnings; Financial Reporting; Valuation; Analytics and Data Science

03 Apr 2015
News

What Popular Baby Names Teach Us About Data Analytics

Keywords: big data; data analytics; business strategy

Article

Gathering Data for Archival, Field, Survey, and Experimental Accounting Research

By: Robert Bloomfield, Mark W. Nelson and Eugene F. Soltes

In the published proceedings of the ﬁrst Journal of Accounting Research Conference, Vatter (1966) lamented that “Gathering direct and original facts is a tedious and difﬁcult task, and it is not surprising that such work is avoided.” For the 50th JAR Conference,... View Details

Keywords: Archival; Data; Experiment; Empirical Methods; Field Study; Analytics and Data Science; Surveys; Financial Reporting

Citation

Find at Harvard

Purchase

2021
Working Paper

Invisible Primes: Fintech Lending with Alternative Data

By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael

We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to... View Details

Keywords: Fintech Lending; Alternative Data; Machine Learning; Algorithm Bias; Finance; Information Technology; Financing and Loans; Analytics and Data Science; Credit

Citation

Read Now

February 2021 (Revised February 2021)
Background Note

eGrocery and the Role of Data for CPG Firms

By: Ayelet Israeli, Fedor (Ted) Lisitsyn and Mark A. Irwin

This notes provides information about the eGrocery industry and how traditional CPG companies handle this channel and potential data. It is recommended to use together with a series of exercises entitled: "E-Commerce Analytics for CPG Firms (A), (B), and (C)." View Details

Citation

Educators

Purchase

2022
Working Paper

Where the Cloud Rests: The Location Strategies of Data Centers

By: Shane Greenstein and Tommy Pan Fang

This study provides an analysis of the entry strategies of third-party data centers in the United States. We examine the market before the pandemic in 2018 and 2019, when supply and demand for data services were geographically stable. We compare with the entry... View Details

Keywords: Cloud Computing; Location Strategies; Data Centers; Information Infrastructure

Citation

Read Now

Article

Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data

By: Dean Hyslop and Wilbur Townsend

This article analyzes earnings dynamics and measurement error using a matched longitudinal sample of individuals’ survey and administrative earnings. In line with previous literature, the reported differences are characterized by both persistent and transitory factors.... View Details

Keywords: Earnings Dynamics; Measurement Error; Panel Data; Validation Study; Business Earnings; Measurement and Metrics; Forecasting and Prediction

Citation

Find at Harvard

Register to Read

Big data is defined and distinguished from a mere moment in the “ancient quest to measure.” Specific discontinuities in the practice of information science are identified which, the paper argues, have large consequences for the social order. The infrastructure that... View Details

Link

Replication Data and Code

Link

Data and Replication Files

File

Data and Replication Files

March 5, 2020
Editorial

Murky Data Calls into Question Quarantine Strategy

By: Amar Bhide

Like sepsis, a life-threatening, uncontrolled immune response to infections, draconian efforts to contain the coronavirus outbreak may cause more harm than the infection itself. Yet the measures now paralysing the western world before many have actually died are based... View Details

Keywords: Coronavirus; Coronavirus Pandemic; Data; Health Pandemics; Data and Data Sets

Citation

Read Now

11 Aug 2014
News

Politics and Dirty Data

Link

Data and Replication Code

May 2017 (Revised March 2018)
Case

Predicting Consumer Tastes with Big Data at Gap

By: Ayelet Israeli and Jill Avery

CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details