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Turning Standards into Rules Part 1 : Using Machine Learning to Predict Tax Outcomes

Alarie, Benjamin - 2019

Technological advancements in the last 10 years have made it possible to explore the application of data driven tools to the legal field. The problem, however, is that law is full of grey areas. Tax law in particular can be a very uncertain field, often precisely because of the many rules and...

Persistent link: https://www.econbiz.de/10014106699

Tax revenue forecast errors : wrong predictions of the tax base or the elasticity?

Göttert, Marcell; Lehmann, Robert - 2021 - This version: June 14, 2021

In this paper, we disentangle tax revenue forecast errors into influences stemming from wrong macroeconomic assumptions and false predictions of the elasticities linking the tax base to its corresponding tax type. Across six tax types and the overall tax sum for Germany, we find a heterogeneous...

Persistent link: https://www.econbiz.de/10012547029

Predicting Government Tax Revenues and Analyzing Forecast Uncertainty

Brender, Adi - 2010

This study examines the sources of uncertainty in predicting government tax revenues in Israel. In the first stage, we estimate a model based on several real and financial macroeconomic variables and identify a significant, stable and highly accurate relation between these variables and tax...

Persistent link: https://www.econbiz.de/10013147716

A neural network approach for predicting corruption in public procurement

Pastor Sanz, Iván; López Iturriaga, Felix J.; … - In: European journal of international management : EJIM 22 (2024) 2, pp. 175-197

Persistent link: https://www.econbiz.de/10014546180

Predicting criminality : forecasting behaviour on parole

Laune, Ferris Finley - 1936

Persistent link: https://www.econbiz.de/10000386723

Short-term forecasting of crime

Gorr, Wilpen L.; Olligschlaeger, Andreas M.; Thompson, … - In: International journal of forecasting 19 (2003) 4, pp. 579-594

Persistent link: https://www.econbiz.de/10001818757

Criminal incident prediction using a point-pattern-based density model

Liu, Hua; Brown, Donald E. - In: International journal of forecasting 19 (2003) 4, pp. 603-622

Persistent link: https://www.econbiz.de/10001818835

Forecasting Methods in Crime and Justice

Berk, Richard - 2008

Researchers who study crime and justice have been forecasting a variety of outcomes for nearly a century. Perhaps the … and time trends in crime. However, it is very difficult to determine how accurate such forecasts have been because few … forecasts have been properly evaluated. In the hope of improving crime and justice forecasts in the future, this article reviews …

Persistent link: https://www.econbiz.de/10012768142

Hierarchical Markov-switching models for multivariate integer-valued time-series

Catania, Leopoldo; Di Mari, Roberto - In: Journal of econometrics 221 (2021) 1, pp. 118-137

Persistent link: https://www.econbiz.de/10012618804

Crime prediction by data-driven Green's function method

Kajita, Mami; Kajita, Seiji - In: International journal of forecasting 36 (2020) 2, pp. 480-488

Persistent link: https://www.econbiz.de/10012415175

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