Why Money Growth Determines Inflation in the Long Run: Answering the Woodford Critique

Woodford argues that it is not appropriate to regard inflation in the steady state of New Keynesian models as determined by steady‐state money growth. Woodford instead argues that the intercept term in the monetary authority's interest rate policy rule determines steady‐state inflation. In this paper, I offer an alternative interpretation of steady‐state behavior, according to which it is appropriate to regard steady‐state inflation as determined by steady‐state money growth. The argument relies on traditional interpretations of the central bank's power in the long run and appeals to model properties that are common to textbook and New Keynesian analysis. According to this argument, the only way the central bank can control interest rates in the long run is via affecting inflation, and its only means available for determining inflation is by determining the money growth rate.     

Seven Fallacies Concerning Milton Friedman's “The Role of Monetary Policy”

This paper analyzes Milton Friedman's (1968a) article “The Role of Monetary Policy,” via a discussion of seven fallacies concerning the article. These fallacies are as follows: (i) “The Role of Monetary Policy” was Friedman's first public statement of the natural rate hypothesis. (ii) The Friedman–Phelps Phillips curve was already present in Samuelson and Solow's (1960) analysis. (iii) Friedman's specification of the Phillips curve was based on perfect competition and no nominal rigidities. (iv) Friedman's (1968a) account of monetary policy in the Great Depression contradicted the Monetary History’s version. (v) Friedman (1968a) stated that a monetary expansion will keep the unemployment rate and the real interest rate below their natural rates for two decades. (vi) The zero lower bound on nominal interest rates invalidates the natural rate hypothesis. (vii) Friedman's (1968a) treatment of an interest-rate peg was refuted by the rational expectations revolution. The discussion lays out the reasons why each of these seven items is a fallacy and infers key aspects of the framework underlying Friedman's (1968a) analysis.     

Funeral Price Disclosure in an Urban Market

During telephone interviews in which funeral directors were asked to provide the least expensive option for a fixed list of services, substantial price dispersion among providers was found. Prospective customers were quoted higher prices than were quoted to consumer researchers. The cost of cremation was one-fifth that of earth burial, and cemetery charges amounted to more than one-half of earth burial costs. A memorial society member was quoted lower prices than were available to private customers of the same firm, and lower prices in relation to other funeral providers. These surveys were supported in an examination of actual funeral bills for memorial society members.     

An Empirical Examination of the Market Returns and Financial Performance of Entities Engaged in Sustainability Reporting

The importance of sustainability reporting to external stakeholders is reflected in the advent of various reporting guidelines and government inquiries. However, evidence of the inadequacy of such reporting, coupled with limited evidence of its use by market participants (such as investors and creditors) for resource-allocation decisions, raises questions about the overall value-relevance of sustainability reporting. This study seeks to identify, in the Australian context, whether the level of sustainable reporting is associated with a range of financial and market performance attributes of the firm.     

Predictable Stock Returns: The Role of Small Sample Bias

Predictive regressions are subject to two small sample biases: the coefficient estimate is biased if the predictor is endogenous, and asymptotic standard errors in the case of overlapping periods are biased downward. Both biases work in the direction of making t-ratios too large so that standard inference may indicate predictability even if none is present. Using annual returns since 1872 and monthly returns since 1927 we estimate empirical distributions by randomizing residuals in the VAR representation of the variables. The estimated biases are large enough to affect inference in practice, and should be accounted for when studying predictability.     

Satisfaction with household production: the effect of time spent in household production by husbands and wives

The purpose of the study was to examine the relationship between the extent of household production and satisfaction with household production. Data were obtained from 400 married couples who responded to a postal questionnaire. The dependent variable was an index of satisfaction incorporating two aspects of household production, quality and quantity. Regression analysis indicated that of the three variables representing the extent of household production in the model — hours spent by each spouse in household production and an activity index to measure the number of household production activities — only husband's hours spent in household production demonstrated a significant, independent effect. Other significant variables included husband's hours of market work, household net worth, age of respondent and gender of respondent. Two significant interactions indicated that (i) the relationship between wife's hours of household production and satisfaction with household production differed according to the gender of the respondent, and (ii) the relationship of husband's hours of market work and satisfaction differed according to the age of the respondent.     

Gathering Data for Archival,Field, Survey,and Experimental Accounting Research

In the published proceedings of the first Journal of Accounting Research Conference, Vatter [1966] lamented that “Gathering direct and original facts is a tedious and difficult task, and it is not surprising that such work is avoided.” For the fiftieth JAR Conference, we introduce a framework to help researchers understand the complementary value of seven empirical methods that gather data in different ways: prestructured archives, unstructured (“hand‐collected”) archives, field studies, field experiments, surveys, laboratory studies, and laboratory experiments. The framework spells out five goals of an empirical literature and defines the seven methods according to researchers’ choices with respect to five data gathering tasks. We use the framework and examples of successful research studies in the financial reporting literature to clarify how data gathering choices affect a study's ability to achieve its goals, and conclude by showing how the complementary nature of different methods allows researchers to build a literature more effectively than they could with less diverse approaches to gathering data.