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Money Market Development and the Demand for Money: Some Preliminary Evidence

Journal of Financial and Quantitative Analysis 1971 6(4), 1155
George Kaufman and Cynthia Latta in “The Demand for Money: Preliminary Evidence from Industrial Countries, ” have presented econometric evidence that the money-demand function may shift with the development of financial markets. The thesis depends on the heightened cross-elasticities and lowered wealth-elasticities (or income-elasticities) that are supposed to attend the development of new near-money forms. Their evidence is based on a summary of statistics from money-demand equations for developed and less-developed countries.

Deposit Demand and the Pricing of Demand Deposits: Reply

Quarterly Journal of Economics 1972 86(1), 140
Journal Article Deposit Demand and the Pricing of Demand Deposits: Reply Get access Bruce C. Cohen Bruce C. Cohen Northeastern University Search for other works by this author on: Oxford Academic Google Scholar The Quarterly Journal of Economics, Volume 86, Issue 1, February 1972, Pages 140–142, https://doi.org/10.2307/1880500 Published: 01 February 1972

The Student's t Test in Multiple Regression Under Simple Collinearity

Journal of Financial and Quantitative Analysis 1970 5(3), 341
This paper is concerned with the validity of the conventional t tests on regression coefficients when there is serious multicollinearity between the explanatory variables. It is well known that increasing multicollinearity causes the true standard errors of regression coefficients to rise. The crucial question, however, is whether the conventional formulas will in practice reflect this rise. The purpose of this note is to show that the conventional t tests will in practice reflect this rise. But this note also points out the danger involved in mechanically dropping variables from multiple regression equations by t tests because t values of the regression coefficients may not be significantly different from zero when the true (population) values of these coefficients are in fact not zero, if the explanatory variables are highly intercorrelated.