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Feedforward neural networks for spatial interaction: are they trustworthy forecasting tools?

Thill, Jean-Claude; Mozolin, Mikhail - In: Spatial economic science : new frontiers in theory and …, (pp. 355-381). 2000

Persistent link: https://www.econbiz.de/10001509450

Information-based estimation of spatial interaction : the calibration and forecasting of commuting on the state of Indiana

Knudsen, Daniel C. - In: Advances in business and management forecasting 2 (1998), pp. 2-15

Persistent link: https://www.econbiz.de/10001245832

Experience conditioning in commuter modal choice modelling - does it make a difference?

Hensher, David A.; Ho, Chinh - In: Transportation research / E : an international journal 95 (2016), pp. 164-176

Persistent link: https://www.econbiz.de/10011623790

A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice

Hensher, David A.; Ton, Tu T. - In: Transportation research / E : an international journal 36 (2000) 3, pp. 155-172

Persistent link: https://www.econbiz.de/10001506760

Empirical evaluation of alternative model specifications to predict commuting flows

Thorsen, Inge - In: Journal of regional science 38 (1998) 2, pp. 273-292

Persistent link: https://www.econbiz.de/10001337567

Spatial Chow-Lin methods for data completion in econometric flow models

Polasek, Wolfgang; Sellner, Richard - 2010

Persistent link: https://www.econbiz.de/10008661120

Optimal portfolio choice with asset return predictability and nontradable labor income

Tsai, Hui-Ju; Wu, Yangru - In: Review of quantitative finance and accounting 45 (2015) 1, pp. 215-249

Persistent link: https://www.econbiz.de/10011333124

Measurement error in earnings data: replication of Meijer, Rohwedder, and Wansbeek’s mixture model approach to combining survey and register data

Jenkins, Stephen; Rios-Avila, Fernando - 2021

Meijer, Rohwedder, and Wansbeek (MRW, Journal of Business & Economic Statistics, 2012) develop methods for prediction of a single earnings figure per worker from mixture factor models fitted using earnings data from multiple linked data sources. MRW apply their method using parameter estimates...

Persistent link: https://www.econbiz.de/10012485862

The predictive ability of S&P’s core earnings: an in-sample out-of-sample estimation approach

Thielemann, Felix - In: Essays on the usefulness of non-GAAP earnings, (pp. 102-117). 2019

Persistent link: https://www.econbiz.de/10012193483

The relative power of employment-to-employment reallocation and unemployment exits in predicting wage growth

Moscarini, Giuseppe; Postel-Vinay, Fabien - In: The American economic review 107 (2017) 5, pp. 364-368

Persistent link: https://www.econbiz.de/10011783180

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