Discarge compilation from The Global River Discharge (RivDIS) Project

The Global River Discharge (RivDIS) data set contains monthly discharge measurements for 1018 stations located throughout the world. The period of record varies widely from station to station, with a mean of 21.5 years. These data were digitized from published UNESCO archives by Charles Voromarty, Balaze Fekete, and B.A. Tucker of the Complex Systems Research Center (CSRC) at the University of New Hampshire. River discharge is typically measured through the use of a rating curve that relates local water level height to discharge. This rating curve is used to estimate discharge from the observed water level. The rating curves are periodically rechecked and recalibrated through on-site measurement of discharge and river stage.

The Role of Distance in Determining International Transport Costs: Evidence from Philippine Import Data

This paper presents an empirical investigation of the appropriateness of distance as a determinant of international transport costs by using Philippine import data. This study addresses three specific questions. First, does distance really matter in the determination of transport costs? Second, if distance is a significant factor, what is the magnitude of its impact? Third, does the impact of distance on transport costs vary by commodity? Results indicate that while distance is important in determining transport costs, using distance alone as the proxy of international transport costs is insufficient, and such use underestimates the impact of distance on international transport costs. Results also indicate that the impact of distance varies across commodity groups, but it is difficult to precisely determine the direction and the magnitude of this impact.

Business Cycles of Non-mono-cultural Developing Economies: The Case of ASEAN Countries

Based on analyses of actual data, we reveal that many Asian developing economies own economic structural features of "non-mono-cultural economy" and the "large primary good sector", which have not been discussed in developing economies RBC literature. We also examine the input-output tables to develop a model reflecting actual developing economies' structures. Referring to the analyses, we construct RBC models of ASEAN countries. Based on the model, we find that approximately half of GDP volatility is attributable to domestic productivity shocks, and the remaining half is attributable to price shocks.