Testing the Empirical Relevance of the ‘Saving for a Rainy Day’ Hypothesis in US Metro Areas

The joint implication of the consumption Euler equation and cointegration between income and consumption is that savings predict future income declines, the ‘saving for a rainy day’ hypothesis. The empirical relevance of this hypothesis plays a key role in discussions of fiscal policy multipliers, and it holds under the null that the permanent income hypothesis is true. We find little support for this hypothesis using time series data for the 100 largest US Metropolitan Statistical Areas for the period 1980q1–2015q4. Our approach is to test for cointegration and weak exogeneity between income and consumption, and by exploring the direction of Granger causality between the two time series. We find that income more often predicts consumption and saving than the converse. We also give evidence that house price changes played a role in US income and consumption dynamics, before, during and after the Great Recession.     

Structure and understanding: Some observations on current activities in the field of structural modeling

Structural modeling has been under study in recent years as a method for dealing with complex societal problems, and is growing in acceptance as a tool for understanding complex social phenomena. Structural models demonstrate the interactions of the separate elements of a system and their combined overall effect. Thus, the nature of the problem for which this method of analysis is appropriate is different from complex problems of the traditional disciplines which lend themselves to reductionist approaches. This is because complex policy problems of society cannot be “solved” with precise analysis. Kenneth Boulding suggests that there are two ways to cope with a complex policy problem, either to “slice” the problem into partial equilibrium sections or “squeeze” it by aggregating numerous variables into a single index or macho variable. Structural modeling is an approach which comes under the general strategy of squeezing the problem and is promising because of the ability to include a range of macro variables which provide insights about social change. The articles in this issue treat several interesting aspects of this approach. In this article we wish to recall for consideration a central purpose for developing such methods. We have taken a historical approach to indicate some of the roots of the concern for the effect of technological process on social change. Within this context, we discuss the nature of the contributions made by the articles in this issue and what promise the methods offer to addressing the historical concern.     

“I don’t Care that People don’t Like What I Do” – Business Codes Viewed as Invisible or Visible Restrictions

Research about codes of corporate ethics has hitherto taken a hypothetical, correct meaning of codes for granted. The article problematises the dichotomous categories intrinsic and subjective meanings of codes. I address the question if professionals in finance accept codes of business. The particular mentality of stockbrokers and traders constructs the way they judge restrictions such as company codes of ethics. While neglecting dimensions of ethics beyond known rules, brokers and traders distrust good ethics as a possible end in itself. Many professionals in the financial market perceive efforts to integrate ethical reasoning in work as only means for maximising business opportunities.     

Equilibrium-correction vs. differencing in macroeconometric forecasting

Recent work by Clements and Hendry elucidate why forecasting systems that are in terms of differences, dVARs, can be more accurate than econometric models that include levels variables, EqCMs. For example, dVAR forecasts are in some cases insulated from parameter non-constancies in the long run mean of the cointegration relationships. In this paper, the practical relevance of these issues are investigated for RIMINI, the quarterly macroeconometric model used in Norges Bank (Central Bank of Norway), an example of an EqCM forecasting model. We develop two dVAR versions of the full RIMINI model and compare EqCM and dVAR forecasts for the period 1992.1–1994.4. We also include forecasts from univariate dVAR type models. The results seem to confirm the relevance of the theoretical results. First, dVAR forecasts appear to provide some immunity against parameter non-constancies that could seriously bias the EqCM forecasts. Second, the misspecification resulting from omitting levels information generates substantial biases in the dVAR forecasts 8 and 12 quarters ahead.     

Exchange rate versus inflation targeting: a theory of output fluctuations in traded and non-traded sectors

This paper develops a basic model for output fluctuations in traded and non-traded sectors under two alternative monetary policy regimes; exchange rate targeting (or monetary union) and inflation targeting. The conventional wisdom from one-sector models says that inflation targeting gives better output stabilization than exchange rate targeting when demand shocks occur, but the opposite when supply shocks occur. In a model with a traded and a non-traded sector, we show that the conventional wisdom holds for the non-traded sector. However, for the traded sector, we show that inflation targeting destabilizes output compared with exchange rate targeting when both supply and demand shocks occur. The only shocks where inflation targeting provides the better output stability for the traded sector are shocks to world market prices. The two-sector structure introduces new mechanisms that may turn around earlier results for aggregate production. For instance, a demand shock may induce higher aggregate output fluctuations with inflation targeting than with exchange rate targeting. Furthermore, a positive demand shock may prove to be contractionary under inflation targeting.     

Predator or prey?: Parasitic enterprises in economic development

In many developing and transition economies Mafia-like activities are rampant. Extortion and other forms of predation lower profitability in private businesses and distort investment incentives. Incorporated in a model of industrialization, bimodal club convergence may result. Economies may get stuck in a Predators’ Club characterized by a vicious cycle of poverty and predation. Societies with a low flow of new entrepreneurs are especially vulnerable to predation and never get out of this club. Poor societies with a high flow of new entrepreneurs, however, may grow out of the trap and join the rich Producers’ Club.     

Risk Preferences,Production Risk and Firm Heterogeneity*

A new technique is proposed for deriving the risk preference function under production risk and expected utility of profit maximization. The derivation depends on neither a specific parametric form of the utility function nor any distribution of the error term representing production risk. The proposed risk preference function is flexible enough to test different types of risk behavior and symmetry of the output distribution. Furthermore, our production risk specification allows for inputs with positive and negative marginal risk. The econometric model accommodates production risk, risk preferences and firm heterogeneity simultaneously. Norwegian salmon farming data are used as an application.