Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola"doi:10.34622/datarepositorium/MIZ5JERepositório de Dados da Universidade do Minho2022-03-291Freitas, 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]Data used in "Forecasting inflation with excess liquidity and excess depreciation: the case of Angola"Description of variablesdoi:10.34622/datarepositorium/MIZ5JEFreitas, MiguelExcelRepositório de Dados da Universidade do MinhoFreitas, MiguelFreitas, Miguel2022-02-14monetary variablesm2Social SciencesAngolablack-market exchange ratemonetary data AngolaReal exchange rate AngolaTerms of Trade Angolamonetary dataThe data sources are described below2007-03-302019-03-30aggregate dataThe xlsx file contains the raw data; the wf1 file contains the sample used in estimationThe data on the parallel-market exchange rate (E) are from the IMF until March 2016 and updated thereafter using an internet source (http://www.kimguilahoje.com) The official exchange rate (EO), Money (M2), and monetary base (MB) are obtained from the International Financial Statistics and updated with BNA data. The series on oil exports (X) is from the Angolan Ministry of Finance. The inflation rate (INF) is computed as the monthly variation of the Consumer Price Index (IPC) for the region of Luanda, published by the Angolan National Institute of Statistics. The price of non-tradable goods (P) is constructed from the components of the Consumer Price Index. The adjusted weights are as follows: “Housing and utilities” (35.84%), “Health” (9.75%), “Transport” (22.74%), “Communication” (9.55%), “Recreation and Culture” (6.42%), “Education” (7.02%), and “Restaurants and hotels” (8.69%). The following items are excluded: “Food and non-alcoholic beverages”, “Alcoholic beverages and Tobacco”, “Clothing and footwear”, “Household contents”, “Equipment and maintenance”, and “MiscellaneousCC0 Waiver10.1007/s10644-022-09427-yLebre de Freitas, M., 2021. Forecasting Inflation with Excess Liquidity and Excess Depreciation: the case of AngolaRawDataAngolaRepositorium.tab16432text/tab-separated-valuesUNF:6:XwfngSl5aNg/K57Y17qKrQ==AUNF:6:QNbNrn7Otha6znnyCB+Z3Q==BUNF:6:0hyO0uEWZ84Vd8HvgO0Pvg==CUNF:6:J4ENsmO5g/H1QHpYeEa1SA==DUNF:6:YT5Y+4ArQefjPYkn7CP67g==EUNF:6:JPmOHRfkQGI1vXU5eKAgMw==FUNF:6:tv76VAvCWZadQQcQtNoYYQ==GUNF:6:7lP0rvRUW10C1Hf2oblgQg==HUNF:6:3ysXHhHl7uQEQcBsWDGHGA==IUNF:6:rKd88DbHnbb5rXr7zn36eg==JUNF:6:U2w2dTfKthq+JDNxhUWlTQ==KUNF:6:1oA87phn/8uk7e6/gtHwqw==LUNF:6:88h5w8fziS6hIuMUeozHNQ==MUNF:6:a4mCJsx81BMOnEHtKqY3qA==NUNF:6:7OiVU45PTq93V/RepuaSjw==OUNF:6:3DNNZK9lzx7hvolvH3kmtg==PUNF:6:h9DtR+/hT/maUmxnPY1pnQ==QUNF:6:lBBe37t31JBxo+Xafwuwcw==RUNF:6:wseftcM6FYOaMf2Z0bRY4Q==SUNF:6:ZO0cFrDzXNE8mnLtz/GtXg==TUNF:6:GnjUtgI6Fy2qv+WULjImXQ==U0.0NaN.NaNNaNNaN164.0NaNUNF:6:qvSkjbivawywW/8bO0hHyw==V0.0164.0NaNNaNNaNNaNNaN.UNF:6:qvSkjbivawywW/8bO0hHyw==WUNF:6:n6w4KElXHeitq9BRQMhLtA==XUNF:6:plcjSJxA9ForYq9nY5qP/Q==YUNF:6:nDzDHrlG5lwgXwca7Y6zpg==ZUNF:6:WAoomY650U0br1PRaI6dSQ==AAUNF:6:B2EdgGUpATprx1ehMWKdpw==ABUNF:6:FXdHUvXZwTZa9X9wi5TUlw==ACUNF:6:Ld5INaQGEncmaiug834eUw==ADUNF:6:iWAAwLSpdYD4txj1N1akrg==AEUNF:6:8chY5ijqVvZR74HrMzWC0A==AFUNF:6:USwx9kUvTO+gsfWwrchp8A==angola.txtsourcestext/plaindataused.wf1data used in estimationapplication/octet-stream