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Applying machine learning algorithms to predict the size of the informal economy

Felix, João; Alexandre, Michel; Lima, Gilberto Tadeu - 2023

Persistent link: https://www.econbiz.de/10014372636

Considering Labor Informality in Forecasting Poverty and Inequality

Braga, Cicero; Montoya, Kelly; Olivieri, Sergio - 2023

Economists have long been interested in measuring the poverty and distributional impacts of macroeconomic projections and shocks. In this sense, microsimulation models have been widely used to estimate the distributional effects since they allow accounting for several transmission channels...

Persistent link: https://www.econbiz.de/10014579668

Parallel currency markets and the monetary exchange rate model: a VECM application to Turkey over 1987-1998

Warshaw, Evan - In: Eastern European economics 54 (2016) 6, pp. 473-488

Persistent link: https://www.econbiz.de/10011665423

Predicting Firms’ Taxpaying Behaviour Using Artificial Neural Networks : The Case of Indonesia

Rosid, Arifin - 2022

Due to the complexity of tax and the time and resources needed to monitor and examine tax returns, tax noncompliance is challenging to detect. Big data and sophisticated analytics might help tax authorities extract actionable data insights. Using income tax record data, this paper employs an...

Persistent link: https://www.econbiz.de/10013492311

Laboratory Measure of Cheating Predicts Misbehavior at School

Cohn, Alain - 2017

Laboratory experiments provide insights into the drivers of cheating behaviour, but it is unclear to what extent cheating in the lab generalizes to the field. We conducted an experiment with middle and high school students to test whether a common laboratory measure of cheating predicts three...

Persistent link: https://www.econbiz.de/10012970422

Algorithms, Human Decision-Making and Predictive Policing

Phillips, Peter J.; Pohl, Gabriela - 2021

algorithms and, importantly, the basic structures of decision theory that it embeds. To make a problem amenable to algorithmic … application. We use decision theory, including behavioural economics, to highlight the choices embedded within this problem space … lockstep advancement in awareness and application of decision theory. Such awareness may help to mitigate some of the …

Persistent link: https://www.econbiz.de/10013322251

The growth forecast : demonetisation and informal sector

Govinda Rao, Marapalli - In: Economic developments in India : quarterly update : … (2017) 230, pp. 15-17

Persistent link: https://www.econbiz.de/10012145730

Measuring True Sales and Underreporting with Matched Firm-Level Survey and Tax Office Data

Zhou, Fujin - 2018

This paper uses firm-level survey data matched with official tax records to estimate the unobserved true sales of formal firms in Mongolia. Taking into account firm-level incentives to comply with taxes and a production function technology linking unobserved true sales with observable firm-level...

Persistent link: https://www.econbiz.de/10012931624

Predicting Compliance : Leveraging Chat Data for Supervised Classification in Experimental Research

Hausladen, Carina Ines; Fochmann, Martin; Mohr, Peter - 2023

Many experimental research designs offer participants the opportunity to chat with each other. While experimental research has traditionally treated text as process data, this paper proposes a novel approach to interpret and use chat data in a structured supervised classification task....

Persistent link: https://www.econbiz.de/10014255468

What determines enterprise borrowing from Self Help Groups? A Predictive Assessment using Supervised Machine Learning Algorithms

Dasgupta, Madhura; Gupta, Samarth - 2021

Despite several advantages of borrowing from Self Help Groups (SHGs), why do many enterprises in India, still rely on informal lenders (MoSPI, 2020)? To answer this question, we develop a novel enterprise-village matched dataset and use a variety of Machine Learning methods to predict the choice...

Persistent link: https://www.econbiz.de/10013223280