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In international trade, firms face lengthy ordering-producing-delivery times and make shipping frequency decisions based on the per-shipment costs and financing costs. In this paper, I develop a model of importer-exporter procurement where the importer procures international inputs from exporting firms in developing countries. The exporters are credit constrained for working capital, incur the per-shipment fixed costs, and get paid after goods are delivered to the importer. The model shows that the shipping frequency increases for high financing costs in origin and destination. Furthermore, longer delivery times increase shipping frequency as well as procurement costs. The model also shows that the higher per-shipment fixed costs reduce the shipping frequency, in line with previous literature. Reduced transaction costs lower the exporter's demand for financial services through shipping frequency adjustment, mitigating the financial frictions of the firm. Then, I empirically investigate whether the conclusions regarding the effect of per-shipment fixed costs on shipping frequency from the theoretical model and in the existing literature extend to developing countries. My estimation method addresses several biases. First, I deal with aggregation bias with the firm, product, and country-level analysis. Second, I consider the Poisson Pseudo Maximum Likelihood (PPML) estimation method to deal with heteroscedasticity bias from the OLS estimation of log-linear models. Third, I fix the distance non-linearity of Bangladeshi exports. Finally, I consider the effect of financing cost on shipping frequency to address omitted variable bias. Using transaction-level export data from Bangladesh, I find that 10% higher per-shipment costs reduce the shipping frequency by 3.45%. The findings are robust to different specifications and subsamples.

The vast literature on exchange rate fluctuations estimates the exchange rate pass-through (ERPT). Most ERPT studies consider annually aggregated data for developed or large developing countries for estimating ERPT. These estimates vary widely depending on the type of country, data coverage, and frequency. However, the ERPT estimation using firm-level high-frequency export data of a small developing country is rare. In this paper, I estimate the pricing to market and the exchange rate pass-through at a monthly, quarterly, and annual level of data frequency to deal with aggregation bias. Furthermore, I investigate how delivery time-based factors such as frequent shipments and faster transport affect a firm`s pricing-to-market behavior. Using transaction-level export data of Bangladesh from 2005 to 2013 and the Poisson Pseudo Maximum Likelihood (PPML) estimation method, I find very small pricing to the markets to the exchange rates in the exporter's price. As pass-through shows how the exporters respond to macro shocks, for Bangladesh, this low export price response to the exchange rate changes indicates that currency devaluation might not have a significant effect on the exporter. The minimal price response and high pass-through contrast with the literature on incomplete pass-through at the annual level. By considering the characteristics of the firms, products, and destinations, I investigate the heterogeneity of the pass-through. The findings remain consistent with several robustness checks.