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Mar 30, 2022 -
Map4Scrutiny: a Linked Open Data approach on politicians interest registers - bulk upload
Turtle RDF - 14.0 KB - MD5: 5f5a4f0aadb3abc45a492de5a82e058f
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Mar 30, 2022 -
Map4Scrutiny: a Linked Open Data approach on politicians interest registers - bulk upload
Turtle RDF - 143.1 MB - MD5: 235e365c270c723a684b8c8029dee02e
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Mar 30, 2022 -
Map4Scrutiny: a Linked Open Data approach on politicians interest registers - bulk upload
Turtle RDF - 24.7 KB - MD5: 623c38a4800eb0b92335f0e8e684ba2a
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Mar 30, 2022 -
Map4Scrutiny: a Linked Open Data approach on politicians interest registers - bulk upload
Turtle RDF - 1.2 MB - MD5: e2810650b96e49f3be5dd1245420b923
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Mar 30, 2022 -
Map4Scrutiny: a Linked Open Data approach on politicians interest registers - bulk upload
Turtle RDF - 955.0 KB - MD5: 2940c2e06af14addb854c8d4936c5394
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Mar 30, 2022 -
Map4Scrutiny: a Linked Open Data approach on politicians interest registers - bulk upload
Turtle RDF - 12.1 MB - MD5: ba0fe9a4d99d455217581150ed197162
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Mar 29, 2022 - Núcleo de Investigação em Políticas Económicas
Freitas, Miguel, 2022, "Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola"", https://doi.org/10.34622/datarepositorium/MIZ5JE, Repositório de Dados da Universidade do Minho, V1, UNF:6:XwfngSl5aNg/K57Y17qKrQ== [fileUNF]
The data sources are described below |
Mar 29, 2022 -
Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola"
Plain Text - 2.0 KB - MD5: 621920177398d3743b448de8c230ed4d
sources |
Mar 29, 2022 -
Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola"
Unknown - 72.6 KB - MD5: 9bbf6f48b2dcf9892e23d8debdfb417b
data used in estimation |
Mar 29, 2022 -
Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola"
Tab-Delimited - 81.6 KB - MD5: 303dda079d57aff0d006b0fa10331f79
Raw data |

