Forecasting tax revenues using time series techniques : a case of Pakistan
Dalia Streimikiene, Rizwan Raheem Ahmed, Jolita Vveinhardt, Saghir Pervaiz Ghauri and Sarwar Zahid
| Year of publication: |
2018
|
|---|---|
| Authors: | Štreimikienė, Dalia ; Ahmed, Rizwan Raheem ; Vveinhardt, Jolita ; Ghauri, Saghir Pervaiz ; Zahid, Sarwar |
| Published in: |
Economic research. - Abingdon : Routledge, Taylor & Francis Group, ISSN 1331-677X, ZDB-ID 2171828-3. - Vol. 31.2018, 1,1, p. 722-754
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| Subject: | tax revenue | time series model | A.R. model | A.R.I.M.A. model | V.A.R. model | R.M.S.E. test | Granger causality | Steuereinnahmen | Tax revenue | Pakistan | Zeitreihenanalyse | Time series analysis | Kausalanalyse | Causality analysis | Theorie | Theory | Prognoseverfahren | Forecasting model | Steuerschätzung | Tax revenue forecasting |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/1331677X.2018.1442236 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012486551