Singular spectrum analysis to estimate core inflation in Brazil

被引:0
作者
de Oliveira Santos, Matheus Fellipe [1 ]
de Souza, Rafael Morais [1 ]
Correa, Wilson Luiz Rotatori [1 ]
机构
[1] Univ Fed Juiz de Fora, Econ Dept, Juiz De Fora, Brazil
关键词
Core inflation; Inflation trend; Singular spectrum analysis; Predictive ability; TIME-SERIES; UNIT-ROOT; HYPOTHESIS;
D O I
10.1016/j.cbrev.2024.100177
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper presents a set of new core inflation measures for Brazil based on the Singular Spectrum Analysis (SSA) method. The measures are based on the official target used in the Brazilian inflation targeting regime. The period of analysis ranges from the beginning of the inflation targeting regime in 1999 and 2021. The SSA measures were compared to the inflation core ones used by the Central Bank of Brazil, through the evaluation of unbiasedness, short-term adjustment dynamics and predictive ability. The measures estimated by SSA meet the desired properties and have a greater predictive capacity than the other inflation cores.
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页数:11
相关论文
共 36 条
[1]  
Agrawal R., 1998, SIGMOD Record, V27, P94, DOI 10.1145/276305.276314
[2]  
[Anonymous], 2009, Economic Quarterly
[3]  
Armour J., 2006, Working Paper No. 10
[4]  
BCB, 2021, Report No. 102
[5]   A critical assessment of existing estimates of US core inflation [J].
Bermingham, Colin .
JOURNAL OF MACROECONOMICS, 2010, 32 (04) :993-1007
[6]  
BRYAN MF, 1994, STUD BUS CYCLES, V29, P195
[7]   DISTRIBUTION OF THE ESTIMATORS FOR AUTOREGRESSIVE TIME-SERIES WITH A UNIT ROOT [J].
DICKEY, DA ;
FULLER, WA .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1979, 74 (366) :427-431
[8]  
Elliott G., 1992, Econometrica, V4, P813
[9]  
Golyandina N, 2018, USE R, P1, DOI 10.1007/978-3-662-57380-8
[10]  
Golyandina N., 2020, Singular Spectrum Analysis for Time Series