GDP nowcasting: application and constraints in a small open developing economy

被引:4
|
作者
Madhou, Ashwin [1 ]
Sewak, Tayushma [1 ]
Moosa, Imad [2 ]
Ramiah, Vikash [3 ]
机构
[1] Cent Bank Mauritius, Res & Econ Anal Dept, Port Louis, Mauritius
[2] RMIT Univ, Sch Econ Finance & Mkt, Melbourne, Vic, Australia
[3] Univ South Australia, Sch Commerce, Adelaide, SA, Australia
关键词
Nowcasting; GDP; Bayesian vector autoregression; small open economy; MODEL;
D O I
10.1080/00036846.2016.1270417
中图分类号
F [经济];
学科分类号
02 ;
摘要
Despite data limitations, an attempt is made to find out if a GDP nowcasting model can provide reliable forecasts for a small open economy. Two competing Bayesian vector autoregressive models are tested rigorously to obtain the optimal model by minimizing in-sample forecasting errors. The main finding of this study is that GDP nowcasting can produce reliable results for a small open economy despite the unavailability of sufficient data sets and the lack of high frequency indicators.
引用
收藏
页码:3880 / 3890
页数:11
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