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Money and Income: Post Hoc Ergo Propter Hoc?

James Tobin
- 01 May 1970 - 
- Vol. 84, Iss: 2, pp 301-317
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TLDR
An ultra-Keyniesian model, 303 as discussed by the authors, and a Friedman model, 310, were used to compare timing implications, and they showed that timing implications are strongly correlated.
Abstract
An ultra-Keyniesian model, 303. — A Friedman model, 310. — Comparisons of timing implications, 314.

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Financial Structure and Aggregate Economic Activity: An Overview

TL;DR: A survey of the literature that explores the possible links between the financial system and aggregate economic behavior can be found in this article, where a survey is presented in two parts: the first reviews the traditional work and the second discusses new research.
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Autoregressive modelling and money-income causality detection

TL;DR: In this paper, a step-wise procedure based on Granger's concept of causality and Abaike's final prediction error criterion is suggested as a practical means to identify the order of lags of each variable in a multivariate autoregressive process.
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New Evidence on the Monetary Transmission Mechanism

TL;DR: A fresh look at the way monetary policy affects aggregate demand is particularly timely in light of recent developments in theoretical analyses of credit markets as mentioned in this paper, which has suggested that imperfections are a central feature of capital markets and that these imperfections can cause credit allocation to be made largely on the basis of quantity rationing rather than price adjustment and can create a special role for lending by financial intermediaries.
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Money, Prices, Interest Rates and the Business Cycle

TL;DR: The relationship between money, prices, interest rates and interest rates in the U.S. economy is studied in this article, where three macroeconomic models, namely, a real business cycle model, a sticky price model and a liquidity effect model, are compared.
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Autoregressive Modeling of Canadian Money and Income Data

TL;DR: In this article, a sequential procedure based on Akaike's final prediction error criterion and Granger's concept of causality to fit multiple auto-regressions is suggested, which allows each variable to enter the equation with a different time lag and provides a reasonably powerful test of exogeneity or causality.