Showing 1 - 10 of 412
Hamilton (2001) makes a number of comments on our paper (Harding and Pagan, 2002b). The objectives of this rejoinder are, firstly, to note the areas in which we agree; secondly, to define with greater clarity the areas in which we disagree; and, thirdly, to point to other papers, including a longer...
Persistent link: https://www.econbiz.de/10009438333
Recent events suggest that the death of the business cycle has been exaggerated; the issue of how one learns about and monitors the business cycle remains centre stage. Advent of the Euro and the potential for tensions when sovereign nations subsume their monetary policy into a single response...
Persistent link: https://www.econbiz.de/10015216713
We describe different ways of measuring the business cycle. Insti- tutions such as the NBER, OECD and IMF do this through locating the turning points in series taken to represent the aggregate level of economic activity. The turning points are determined according to rules that either come from...
Persistent link: https://www.econbiz.de/10005458690
Macroeconometric and financial researchers often use binary data constructed in a way that creates serial dependence. We show that this dependence can be allowed for if the binary states are treated as Markov processes. In addition, the methods of construction ensure that certain sequences are...
Persistent link: https://www.econbiz.de/10010825861
Macroeconometric and fi?nancial researchers often use secondary or constructed binary random variables that differ in terms of their sta- tistical properties from the primary random variables used in micro- econometric studies. One important difference between primary and secondary binary...
Persistent link: https://www.econbiz.de/10010904267
Macroeconometric and financial researchers often use secondary or constructed binary random variables that differ in terms of their statistical properties from the primary random variables used in micro-econometric studies. One important difference between primary and secondary binary variables...
Persistent link: https://www.econbiz.de/10005015196
Macroeconometric and fi?nancial researchers often use secondary or constructed binary random variables that differ in terms of their sta- tistical properties from the primary random variables used in micro- econometric studies. One important difference between primary and secondary binary...
Persistent link: https://www.econbiz.de/10005018036
Macroeconometric and Financial researchers often use secondary or constructed binary random variables that differ in terms of their statistical properties from the primary random variables used in microeconometric studies. One important di¤erence between primary and secondary binary variables...
Persistent link: https://www.econbiz.de/10005578908
Macroeconometric and financial researchers often use secondary or constructed binary random variables that differ in terms of their statistical properties from the primary random variables used in microeconometric studies. One important difference between primary and secondary binary variables...
Persistent link: https://www.econbiz.de/10005766329
Macroeconomics has a long tradition of inspecting and interpreting patterns in graphs of aggregate data. However, the move towards more precise quantification of macroeconomic phenomena has seen academics shift away from a study of turning points, which are a natural and obvious way of...
Persistent link: https://www.econbiz.de/10005771880