Nowcasting East German GDP growth: a MIDAS approach

被引:6
|
作者
Claudio, Joao C. [1 ,2 ]
Heinisch, Katja [2 ]
Holtemoeller, Oliver [2 ,3 ]
机构
[1] Univ Leipzig, Leipzig, Germany
[2] Halle Inst Econ Res IWH, Kleine Maerkerstr 8, D-06108 Halle, Saale, Germany
[3] Martin Luther Univ Halle Wittenberg, Halle, Saale, Germany
关键词
Business surveys; East Germany; MIDAS model; Nowcasting; OUTPUT GROWTH; REGRESSIONS; FORECASTS; TESTS;
D O I
10.1007/s00181-019-01810-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
Economic forecasts are an important element of rational economic policy both on the federal and on the local or regional level. Solid budgetary plans for government expenditures and revenues rely on efficient macroeconomic projections. However, official data on quarterly regional GDP in Germany are not available, and hence, regional GDP forecasts do not play an important role in public budget planning. We provide a new quarterly time series for East German GDP and develop a forecasting approach for East German GDP that takes data availability in real time and regional economic indicators into account. Overall, we find that mixed-data sampling model forecasts for East German GDP in combination with model averaging outperform regional forecast models that only rely on aggregate national information.
引用
收藏
页码:29 / 54
页数:26
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