Hello all,
My project involves estimating the impact of exchange rate volatility(EV)(taken as the standard deviation of daily percentage changes of bilateral exchange rates) on export-volume for bilateral country-pairs. From the relevant literature, a PPML gravity-type model is the best fit for this topic. I am running the below regression, essentially (shown in a linear fashion):
Exports = (B1)EV + relevant control variables
Using PPML, with exporter-importer and year fixed effects, the result for B1 = 0.003, and is statistically insignificant, which is expected from the literature. However, I am unsure of the interpretation of this coefficient. Based on my knowledge, I believe the elasticity measure is calculated by taking the B1 value and multiplying by the mean value of EV (0.003 * 0.67 = 0.002) which would represent a less than 0.5% increase in trade as exchange_volatility is increased by one standard deviation.
Now, when I run the estimation using Wooldridge's (2008, 2019) IV methods for non-linear models, I run the following code:
B1 = -0.609 and is statistically significant. This drastic increase in the value of the coefficient and its significance leads me to believe something may be wrong with my model, or I am interpreting the coefficients incorrectly. If anyone could correct me and/or point me to the relevant literature regarding this interpretation, it would be very much appreciated.
My project involves estimating the impact of exchange rate volatility(EV)(taken as the standard deviation of daily percentage changes of bilateral exchange rates) on export-volume for bilateral country-pairs. From the relevant literature, a PPML gravity-type model is the best fit for this topic. I am running the below regression, essentially (shown in a linear fashion):
Exports = (B1)EV + relevant control variables
Using PPML, with exporter-importer and year fixed effects, the result for B1 = 0.003, and is statistically insignificant, which is expected from the literature. However, I am unsure of the interpretation of this coefficient. Based on my knowledge, I believe the elasticity measure is calculated by taking the B1 value and multiplying by the mean value of EV (0.003 * 0.67 = 0.002) which would represent a less than 0.5% increase in trade as exchange_volatility is increased by one standard deviation.
Now, when I run the estimation using Wooldridge's (2008, 2019) IV methods for non-linear models, I run the following code:
Code:
* First Stage xtreg EV IV rta comcur log_gdp_o log_gdp_d i.year, fe predict double v2h_fe, e * Second Stage ppmlhdfe exports EV v2h_fe rta comcur log_gdp_o log_gdp_d, a(imp#exp year)
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