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Conditional Forecasting and Macroeconomic Models
Multiple Variable
Forecasting Models
Forecasts conditional on specific
future events
Conditional Forecasts
Forecasting approaches that we have discussed would produce the same forecasts in either event, independent of whether such an event really would affect the economy.
Such a depression (or its absence) is a future event and not included in the history of the economy that is input into the forecasting process
You need to be able to form some idea as to what the current shock will be, and how its effects will spread through the system.
Conditional Forecasts
To conduct such forecasting exercises you need a different type of framework
Such a framework is provided by Macroeconomic or Macroeconometric Models
Examples of Exogenous
Variables
Monetary Policy Variables:
- how will economy behave if Fed keeps the Funds rate target at present level (5.25) for rest of year vs. increasing it 50 basis points (5.75) this spring and holding at that for the rest of the year.
Fiscal Policy Variables:
- what is the impact of a 15 % income tax reduction vs, maintaining the current rates.
Examples of Exogenous
Variables II
World Economic Events
- Dollar is now trading at about 125 yen and 1.8 D- marks compared with 110 and 1.50 a two years ago. What are the consequences of major (permanent) changes in exchange rates for U.S. economy? for foreign economies?
- World Crude Oil Prices dropped substantially with reduced demand from SE Asia, then rebounded. What are the implications for the U.S. economy if such price decreases are repeated?
Sources of Economic
Forecasts I
Building your own wheel
Borrowing someone else’s wheel
- lots of publicly available forecasts at present.
- Congressional Budget office prepares forecasts semi- annually (typically two year horizon)
- Council of Economic Advisers prepares annual forecast (two year horizon)
- FED publishes estimate of “central tendencies”
Sources of Economic
Forecasts II
Private Forecasts - publicly available
- Wall Street Journal publishes forecasts from a sample of economists semiannually.
- University of Michigan forecast summary available: » http://rsqe.econ.lsa.umich.edu/forecast/table.html
- Survey of Professional Forecasters (Philly FED) » http://www.phil.frb.org/econ/spf/spfpage.html
- “Livingston Survey” of Economists (Philly FED) » http://www.phil.frb.org/econ/liv/welcome.htmldocsity.com
Combining Forecasts
Large technical literature on how to best combine forecasts to minimize forecast error variance.
- problem is similar to constructing a minimum variance asset portfolio (except you can sell a forecaster who is consistently wrong short -- negative weight)
- difficulty is in getting long enough individual forecasting record to get any precision on the optimal weights of individual forecasters
- typically people just construct a simple average
Macroeconomic Models
A. Basic Structure
Measuring Investment
Demand
Investment as used in should not be confused with Investments as used in finance
- Investment here refers to purchases of newly produced plants and equipment (including houses) plus changes in stocks of inventories (+/-) held by firms
Investment Demand
Simple Investment Function - Investment depends negatively on real interest rates.
- theory is that at lower real interest rates there are more profitable opportunities for firms to exploit
- Problems » accurately measuring real interest rates = nominal interest rates - expected future inflation » Investment a very volatile component of real GDP » Lags between initiation of project and completion
Estimated Annual Long-
Term Real Rate
Estimated Real Interest Rate
-15 30 37 44 51 58 65 72 79 86 93
- -
0
5
10
15
Investment and Real Interest
Rates
Investment Ratio and Real Interest Rate
realrate
-15 -10 -5 0 5 10 15