Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This paper creates a structural vector autoregression (SVAR) model which looks at the macroeconomic factors that impact the export of both finished and unfinished Pakistani textiles between 1980 and 2011. The analysis is unique in two ways: first, it separates unfinished (low value-added) textile exports from finished (high value-added) textile exports; second, it separates out the impact of aggregate exchange rate changes with respect to trading ‘partners’ from aggregate exchange rate changes with respect to trading ‘competitors’. We find that unfinished, or low value-added, Pakistani textile exports were positively impacted by the aggregate consumption of trading partners while finished, or high value-added, textile exports were negatively affected by these shocks. Also, a real depreciation of the Pakistani exchange rate leads to temporary increases in unfinished textile exports but sustained increases in the level of finished textile exports. Finally, positive shocks in the textile exports of competitor countries lead to temporary decreases in both unfinished and finished Pakistani textile exports, but these falls were followed by eventual increases in the exports of both.