Identifying the source of dynamics in disaggregated import data
โ Scribed by Kenneth Kasa
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 179 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0883-7252
No coin nor oath required. For personal study only.
โฆ Synopsis
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 deยฎned 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. estimating the lags in international trade (see e.g. Mann, 1989 or Krugman and. Ideally, we would like to say more than that a `structural break' occurred. Doing this, however, requires an understanding of the supply and demand factors that give rise to the dynamics in international trade.
On the supply-side, there have been many papers that apply standard partial adjustment or error correction models to the dynamics in international trade (see e.g. . On the other hand, and develop models of consumer switching costs and brand loyalty in which dynamics arise from a lock-in eect operating on the demand side of the market. While all these papers shed light on the nature of the dynamics in international trade, a troublesome feature of this literature is that, in principle, dynamic factors operate on both sides of the market. This means that models incorporating dynamics on only one side of the market run the risk of falsely attributing to one side of the market dynamics that actually arise from the other side of the market. Clearly, this could seriously distort our inferences about the sources of international price dierentials (i.e.
๐ SIMILAR VOLUMES
This paper discusses methods of identifying the types of missingness in quality of life (QOL) data in cancer clinical trials. The first approach involves collecting information on why the QOL questionnaires were not completed. Based on the reasons provided one may be able to distinguish the mechanis
## Abstract The soโcalled โKety modelโ is a twoโcompartment pharmacokinetic model describing tumor perfusion kinetics. Its parameters, the transendothelial transfer constant (__K__^__trans__^), extravascular extracellular volume fraction (ฯ ~__e__~), and microvascular plasma volume fraction (ฯ ~__p__
Data from a mixture of distributions with two different increasing hazard functions can behave, over some period of time, like a distribution with decreasing hazard functions. As a result, reliability predictions based on data from a mixture of units with two or more different physical designs could
As threats to wildlife and ecosystems constantly increase, so too does the critical need to use available resources, such as water, more wisely, and to spend conservation money more effectively (Boon, 1992). Demand for long-term ecological information has never been greater if these needs are to be