Browsing by Author "Torój, Andrzej"
Now showing items 1-6 of 6
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Regional economic impact assessment with missing input-output data: a spatial econometrics approach for Poland
(2016-03)We propose a novel method of constructing multisector-multiregion input-output tables, based on the standard multisector tables and the tools of spatial econometrics. Voivodship-level (NUTS-2) and subregion-level data ... -
Currency demandand MIMIC models : towards a structured hybrid model-based estimation of the shadow economy size
(2017-09)Model-based econometric techniques of the shadow economy estimation have been increasingly popular, but a systematic approach to getting the best of their complementarities has so far been missing. We review the dominant ... -
Generation of regional input-output tables: a spatial econometric approach with illustrative simulations for France, Germany and Poland
(2018-05)This paper investigates the construction of multisector-multiregion input-output tables by using spatial econometric methods. I demonstrate that, under reasonable assumptions, the problem of finding Leontief's technical ... -
Measuring the uncertainty of shadow economy estimates using Bayesian and frequentist model averaging
(2020-03)Economic literature provides little discussion on the uncertainty around the macroeconometric shadow economy estimates. We fill this gap by deriving the measurement error of the shadow economy estimates stemming from the ... -
Using geolocation data in spatial-econometric construction of multiregion input-output tables: a Bayesian approach
(2022-01)Interregional input-output tables for Poland at NUTS-3 level are built by using the Bayesian approach to spatial econometric analysis. I apply the multi-equation Durbin specification proposed by Torój (2021) to derive the ... -
How regional business cycles diffuse across space and time : evidence from a Bayesian Markov switching panel of GDP and unemployment in Poland
(2023-01)We investigate the regional business cycles at NUTS-3 granularity in Poland (N=73) using two variables in parallel: GDP dynamics and unemployment. The model allows for both idiosyncratic business cycle fluctuations in a ...
