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Econometrics in a Formal Science of EconomicsTheory and the Measurement of Economic Relations$
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Bernt P. Stigum

Print publication date: 2014

Print ISBN-13: 9780262028585

Published to MIT Press Scholarship Online: September 2015

DOI: 10.7551/mitpress/9780262028585.001.0001

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Analysis of Positively Valued Economic Time Series

Analysis of Positively Valued Economic Time Series

Chapter:
(p.195) 7 Analysis of Positively Valued Economic Time Series
Source:
Econometrics in a Formal Science of Economics
Author(s):

Bernt P. Stigum

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262028585.003.0007

Chapter VII has two purposes. One is to study the methodological problems that arise in analysing positively valued time series in foreign exchange. The other is to contrast the analysis of time series in formal econometrics with the analysis of such data in present-day econometrics. The chapter presents an axiomatic data confrontation of a theory of spot and forward exchange in foreign currency markets. In the formulation of the axioms, actual and auxiliary theory and data variables interact in such a way that the problem that usually arise in the analysis of positively valued time series disappears. The data for the empirical analysis comprise observations on spot and forward exchange rates in the market for Swiss Francs and US Dollars. In the empirical analysis, the given data are analysed, first, with the prescriptions of formal econometrics and, then, with the prescriptions on which present-day econometric time-series analysis insist. The statistical results yield different descriptions of the dynamics of foreign exchange and different inferences about the economics of social reality. In doing that the two contrasting empirical analyses provide interesting ingredients for the discussion of how best to incorporate economic theory in empirical analyses.

Keywords:   theory-data confrontation, empirical relevance, formal econometrics, present-day econometrics, spot rates, forward rates, auxiliary variables, dynamics of exchange, structural breaks in time series, linearly cointegrated time series

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