分解进口数据中动态来源的识别

Identifying the source of dynamics in disaggregated import data

Journal of Applied Econometrics · 1998
被引 4
人大 AABS 3

中文导读

利用Kennan模型,从美国进口数据中分别识别供给端和需求端的动态来源,发现双方都存在调整成本,且供给端调整成本更大。

Abstract

This paper uses Kennan's (1988) model to separately identify supply-side and demand-side dynamics in US import data. Dynamics arise from both autocorrelated shocks to supply- and demand-side fundamentals, and from lagged adjustment to these shocks. The model consists of a pair of partial adjustment models in which consumers and producers each attempt to follow a stochastic target level of imports subject to a quadratic adjustment cost. The model is applied to quarterly data on US imports of seven narrowly defined commodities: Autos, Beer, Cameras, Wine, Cigars, Tea, and Soap. Two main results emerge. First, adjustment costs are important on both sides of the market. Second, supply-side adjustment costs are larger than demand-side adjustment costs. © 1998 John Wiley & Sons, Ltd.

进口数据供给动态需求动态调整成本美国