Measuring the Economic Stock of Money
Aggregation theoretic measures of the capital stock of money have in the past been criticized for their dependence on future expectations. I attempt to answer some of those objections by using several forecasting methods to generate expectations needed for calculating the economic stock of money. I show that targeted factor model forecasting improves the accuracy of monetary capital stock measurements slightly. However, I also find, as has previous research, that monetary capital stock calculations are robust to assumptions about future expectation. I believe these findings tend to support the conclusion that concerns about the dependency of theoretical monetary stock aggregates on forecasted future expectations have been overstated.
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- William A Barnett & Unja Chae & John W Keating, 2012.
"Forecast Design In Monetary Capital Stock Measurement,"
Global Journal of Economics (GJE),
World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 1-53.
- William Barnett & Unja Chae & John Keating, 2005. "Forecast Design in Monetary Capital Stock Measurement," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200516, University of Kansas, Department of Economics, revised Aug 2005.
- William Barnett & Unja Chae & John Keating, 2005. "Forecast Design in Monetary Capital Stock Measurement," Macroeconomics 0508022, EconWPA.
- William Barnett, 2005.
WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS
200510, University of Kansas, Department of Economics, revised Mar 2005.
- Sargent, Thomas J, 1976. "A Classical Macroeconometric Model for the United States," Journal of Political Economy, University of Chicago Press, vol. 84(2), pages 207-237, April.
- Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992.
"Efficient Tests for an Autoregressive Unit Root,"
NBER Technical Working Papers
0130, National Bureau of Economic Research, Inc.
- Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
- Elliott, J Walter & Baier, Jerome R, 1979. "Econometric Models and Current Interest Rates: How Well Do They Predict Future Rates?," Journal of Finance, American Finance Association, vol. 34(4), pages 975-986, September.
- Bai, Jushan & Ng, Serena, 2006.
"Evaluating latent and observed factors in macroeconomics and finance,"
Journal of Econometrics,
Elsevier, vol. 131(1-2), pages 507-537.
- Jushan Bai & Serena Ng, 2004. "Evaluating Latent and Observed Factors in Macroeconomics and Financ," Econometrics 0408007, EconWPA.
- Stock, James H. & Watson, Mark W., 1999.
Journal of Monetary Economics,
Elsevier, vol. 44(2), pages 293-335, October.
- Jushan Bai & Serena Ng, 2000.
"Determining the Number of Factors in Approximate Factor Models,"
Econometric Society World Congress 2000 Contributed Papers
1504, Econometric Society.
- Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
- Perron, Pierre & Rodriguez, Gabriel, 2003.
"GLS detrending, efficient unit root tests and structural change,"
Journal of Econometrics,
Elsevier, vol. 115(1), pages 1-27, July.
- PERRON, Pierre & RODRIGUEZ, Gabriel, 1998. "GLS Detrending, Efficient Unit Root Tests and Structural Change," Cahiers de recherche 9809, Universite de Montreal, Departement de sciences economiques.
- Tom Doan, "undated". "GLSDETREND: RATS procedure to perform local to unity GLS detrending," Statistical Software Components RTS00077, Boston College Department of Economics.
- Tom Doan, "undated". "PERRONRODRIGUEZ: RATS procedure to perform Perron-Rodriguez unit root test allowing for break at unknown date," Statistical Software Components RTS00156, Boston College Department of Economics.
- Jean Boivin & Serena Ng, 2003.
"Are More Data Always Better for Factor Analysis?,"
NBER Working Papers
9829, National Bureau of Economic Research, Inc.
- Pesando, James E, 1979. "On the Random Walk Characteristics of Short- and Long-Term Interest Rates in an Efficient Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 11(4), pages 457-466, November.
- Barnett, William A. & Liu, Yi & Jensen, Mark, 1997. "Capm Risk Adjustment For Exact Aggregation Over Financial Assets," Macroeconomic Dynamics, Cambridge University Press, vol. 1(02), pages 485-512, June.
- repec:cup:macdyn:v:1:y:1997:i:2:p:485-512 is not listed on IDEAS
- Elliott, Graham, 1999.
"Efficient Tests for a Unit Root When the Initial Observation Is Drawn from Its Unconditional Distribution,"
International Economic Review,
Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 767-783, August.
- Tom Doan, "undated". "ERSTEST: RATS procedure to perform Elliott-Rothenberg-Stock unit root tests," Statistical Software Components RTS00066, Boston College Department of Economics.
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