Abstract
This paper uses the extreme bounds analysis (EBA) of Leamer (1983, 1985) to analyze the robust determinants of the demand for money in a panel of 17 Asian countries for the period 1970 to 2009. These robust determinants are found to be unit root variables. Therefore, cointegration between these variables is tested with a recent time series panel method developed by Westerlund (2007). This method uses the error-correction formulation and has more power against the null of no cointegration. The results show that there is a well-defined long-run demand for money. Using the lagged error correction term from the estimated cointegrating equation, the short-run dynamic relationships are estimated. This paper, thus, suggests some useful guidelines to estimate other relationships with panel data.
| Original language | English |
|---|---|
| Pages (from-to) | 1181-1188 |
| Number of pages | 8 |
| Journal | Economic Modelling |
| Volume | 29 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2012 |
Keywords
- demand for money
- extreme bounds analysis
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