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The Value of Publicly Available, Textual and Non-textual Information for Startup Performance Prediction

Kaiser, Ulrich; Kuhn, Johan Moritz - 2020

startup characteristics to forecast the performance of newly started enterprises over a five years' time horizon. The … performance outcomes we consider are involuntary exit, above–average employment growth, a return on assets of above 20 percent … predict startup performance with either high or very high accuracy with the exception of high returns on assets where …

Persistent link: https://www.econbiz.de/10012207710

Predicting Road Conditions with Internet Search

Askitas, Nikos - 2015

Traffic jams are an important problem both on an individual and on a societal level and much research has been done on trying to explain their emergence. The mainstream approach to road traffic monitoring is based on crowdsourcing roaming GPS devices such as cars or cell phones. These systems...

Persistent link: https://www.econbiz.de/10011401780

A Time-Space Dynamic Panel Data Model with Spatial Moving Average Errors

Baltagi, Badi H.; Fingleton, Bernard; Pirotte, Alain - 2018

This paper focuses on the estimation and predictive performance of several estimators for the time-space dynamic panel … reserved for prediction. …

Persistent link: https://www.econbiz.de/10011873591

Bread and Bullets

Akerlof, George A.; Snower, Dennis J. - 2016

Standard economics omits the role of narratives (the stories that people tell themselves and others) when they make all kinds of decisions. Narratives play a role in understanding the environment; focusing attention; predicting events; motivating action; assigning social roles and identities;...

Persistent link: https://www.econbiz.de/10011479219

Big Data Is a Big Deal But How Much Data Do We Need?

Askitas, Nikos - 2016

The more conservative among us believe that "Big Data is a fad that will soon fade out" and they may in fact be partially right. By contrast, others – especially those who dispassionately note that digitization is only now beginning to deliver its payload – may beg to differ. We argue that...

Persistent link: https://www.econbiz.de/10011494360

Algorithmic Risk Assessment in the Hands of Humans

Stevenson, Megan T.; Doleac, Jennifer - 2019

led prior studies to overestimate the extent to which judges make prediction errors. Since one of the most important …

Persistent link: https://www.econbiz.de/10012180046

COVID-19 and the Future of US Fertility: What Can We Learn from Google?

Wilde, Joshua; Chen, Wei; Lohmann, Sophie - 2020

information on keyword search volumes in prediction models significantly improves forecast accuracy over a number of cross …

Persistent link: https://www.econbiz.de/10012322575

AI, Skill, and Productivity: The Case of Taxi Drivers

Kanazawa, Kyogo; Kawaguchi, Daiji; Shigeoka, Hitoshi; … - 2022

We examine the impact of Articial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers' productivity by shortening the...

Persistent link: https://www.econbiz.de/10013470440

Predicting Re-Employment: Machine Learning versus Assessments by Unemployed Workers and by Their Caseworkers

van den Berg, Gerard J.; Kunaschk, Max; Lang, Julia; … - 2023

predictive performance of these measures and consider whether combinations improve this performance. We show that self …

Persistent link: https://www.econbiz.de/10014377329

The Power of (No) Recognition: Experimental Evidence from the University Classroom

Hoogveld, Nicky; Zubanov, Nikolay - 2014

We study the effect of recognition on performance with a field experiment involving first-year undergraduate students … students who scored within the top 30% of their group on the first of the two midterm exams. The overall treatment effect on … that conformance to performance norm is the most likely behavioral mechanism behind our findings. …

Persistent link: https://www.econbiz.de/10010333269