| 000 | 00595nab|a22002177a|4500 | ||
|---|---|---|---|
| 999 |
_c62345 _d62337 |
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| 001 | 62345 | ||
| 003 | MX-TxCIM | ||
| 005 | 20200803153035.0 | ||
| 008 | 200722s2015||||xxk|||p|op||||00||0|eng|d | ||
| 022 | _a0030-7270 | ||
| 022 | _a2043-6866 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.5367%2Foa.2015.0221 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aAmikuzuno, J. _914929 |
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| 245 | 1 | 2 | _aA meta-regression analysis of price transmission estimates in Sub-Saharan Africa |
| 260 |
_aUnited Kingdom : _bSAGE Publications, _c2015. |
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| 500 | _aPeer review | ||
| 520 | _aThis study used data from 43 price transmission (PT) studies in Sub-Saharan Africa to conduct a meta-regression analysis to assess how study-specific attributes caused heterogeneity in reported PT coefficients, and to determine the probability of reporting asymmetric price transmission (APT) in selected primary studies. The study found that the reported coefficients varied significantly when published in conference papers, when monthly data were used, when the focus was on a food crop commodity, when the parity bound model was used and when the research was conducted across sub-regions in Sub-Saharan Africa. In addition, the probability of reporting of APT increased with the publication year and among studies conducted in western and eastern Africa relative to studies for southern Africa; conversely, the probability decreased among studies published as conference papers and those that used co-integration techniques. These findings highlight the critical role of selected attributes in determining the magnitude of and the inferences drawn from PT coefficients, and the probability of identifying APT in such coefficients. Overall, the findings suggest that future researchers should pay attention to study-specific characteristics when modelling PT in order to advance our understanding and the policy relevance of inter-market and vertical price transmission, especially in Sub-Saharan Africa. | ||
| 546 | _aText in English | ||
| 650 | 7 |
_aPrices _2AGROVOC _95255 |
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| 650 | 7 |
_aMarkets _2AGROVOC _93765 |
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| 650 | 7 |
_aRegression analysis _2AGROVOC _95834 |
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| 651 | 7 |
_2AGROVOC _91950 _aAfrica South of Sahara |
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| 700 | 1 |
_914930 _aOgundari, K. |
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| 773 | 0 |
_dUnited Kingdom : SAGE Publications, 2015. _x0030-7270 _gv. 44, no. 4, p. 309-314 _tOutlook on Agriculture _wu444646 |
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| 942 |
_cJA _n0 _2ddc |
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