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Trade Adjustment Costs in Developing Countries: - World Bank ...

Trade Adjustment Costs in Developing Countries: - World Bank ...

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288James Tyboutsimple sunk cost model. In particular it expla<strong>in</strong>s why (1) many exporters shipsmall amounts and then exit the dest<strong>in</strong>ation market, (2) sellers who start withlarger export volumes are more likely to rema<strong>in</strong> <strong>in</strong> the export market, and (3) onaverage, the successful members of each cohort experience rapid export growthafter their first year. However, the Rauch–Watson idea has some limitations. Ittreats suppliers as passive agents who do not search for buyers, and it does notaccount for the fact that buyers use multiple suppliers.Arkolakis (2008a; 2008b) shifts the search process from buyers to sellers <strong>in</strong> his<strong>in</strong>terpretation of the stylized facts mentioned above. More precisely, he arguesthat exporters can easily f<strong>in</strong>d a few customers <strong>in</strong> a dest<strong>in</strong>ation market, but afterthe low-hang<strong>in</strong>g fruit has been picked they must ferret out after <strong>in</strong>creas<strong>in</strong>glyhard-to-f<strong>in</strong>d buyers. Thus the costs of build<strong>in</strong>g a clientele rise more than proportionatelywith export sales. This characterization of market<strong>in</strong>g costs meansthat non-export<strong>in</strong>g firms who experience favorable productivity shocks shouldf<strong>in</strong>d it easy to establish a toehold <strong>in</strong> foreign markets, counter to the standardsunk cost specification. But the more market <strong>in</strong>roads these new exporters make,the tougher shedd<strong>in</strong>g becomes, and the more their growth rates slow down. Byassum<strong>in</strong>g that exporters’ productivity shocks follow a Brownian motion, Arkolakis(date) is able to expla<strong>in</strong> the large volume of short-lived, small-scale export<strong>in</strong>gepisodes, the surge <strong>in</strong> shipments among a small set of successful newexporters, and the growth slowdown as firms’ export<strong>in</strong>g relationships mature.Eaton et al. (2009) also develop a model <strong>in</strong> which sellers search for buyers, butthey add seller-side learn<strong>in</strong>g. As <strong>in</strong> Arkolakis’s models, costs are convex <strong>in</strong> search<strong>in</strong>tensity. However, each time an exporter meets a buyer, the seller receives anoisy signal about their product’s appeal to consumers <strong>in</strong> the dest<strong>in</strong>ation market.A large order from a new buyer signals that the product is likely to be popularwith others, while a small order signals the opposite. Each time a match is madeand a signal is conveyed, the exporter updates their priors concern<strong>in</strong>g the product’sappeal and adjusts their search <strong>in</strong>tensity. Early signals are the most <strong>in</strong>formative,so they result <strong>in</strong> the largest adjustments <strong>in</strong> search <strong>in</strong>tensity. Matchesbetween buyers and sellers endure from one period to the next, subject to an exogenoushazard of separation.More formally, Eaton et al. (date) assume that firm j is able to discover new buyersat the rate λ j when it spends c(λ j ) on search activities, and that its exist<strong>in</strong>gmatches break up at some exogenous rate. Further, they assume that j’s expectedprofit stream from its next match can be written as, where e t isthe real effective exchange rate, ϕ jt is j’s current productivity, and and arethe mean and standard deviation of the posterior distribution that summarizes j’sbeliefs about its product’s appeal after it has experienced n matches. 5 These beliefsare based on a standard Bayesian updat<strong>in</strong>g process which <strong>in</strong> turn reflects thesize of the orders that have been placed by buyers whom seller j has previously5 The expected profit stream is related to s<strong>in</strong>gle period export profits by the matchseparation hazard, the Markov processes for exogenous state variables, and the Bayesian updat<strong>in</strong>grule.

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