Misallocation and financial market frictions: Some direct evidence from the dispersion in borrowing costs

Financial frictions distort the allocation of resources among productive units—all else equal, firms whose financing choices are affected by such frictions face higher borrowing costs than firms with ready access to capital markets. As a result, input choices may differ systematically across firms in ways that are unrelated to their productive efficiency. We propose an accounting framework that allows us to assess empirically the magnitude of the loss in aggregate resources due to such misallocation. To a second-order approximation, the framework requires only information on the dispersion in borrowing costs across firms, which we measure—for a subset of U.S. manufacturing firms—directly from the interest rate spreads on their outstanding publicly-traded debt. Given the observed dispersion in borrowing costs, our approximation method implies a relatively modest loss in efficiency due to resource misallocation—on the order of 1 to 2 percent of measured total factor productivity (TFP). In our framework, the correlation between firm size and borrowing costs has no bearing on TFP losses under the assumption that financial distortions and firm-level efficiency are jointly log-normally distributed. To take into account the effect of covariation between firm size and borrowing costs, we consider a more general framework, which dispenses with the assumption of log-normality and which implies somewhat higher estimates of the resource losses—about 3.5 percent of measured TFP. Counterfactual experiments indicate that dispersion in borrowing costs must be an order of magnitude higher than that observed in the U.S. financial data, in order for misallocation—arising from financial distortions—to account for a significant fraction of measured TFP differentials across countries.     

A Delphi technology forecasting approach using a semi-Markov concept

This paper suggests a technology forecasting approach based on a semi-Markov model, which appropriately describes the probabilistic nature of a sequential technology development process. This approach focuses primarily on the utilization of the information that has been skipped in conventional Delphi survey data. That is, through a simple statistic, the interrelationships among sequential technology developments can be extracted in a formal structure of a semi-Markov model from the original Delphi panel's estimates. A simulation technique is developed to forecast the development process by utilizing the information on such interrelationships. This technique provides a flexible and useful tool for R&D planners or project managers, especially in postanalysis of Delphi forecasting. To make good use of the approach, a computer-based interactive Delphi data analysis system (IDEAS) is implemented in IBM PC.     

LAND DEVELOPMENT UNDER REGULATION: COMPARISON BETWEEN THE EAST AND WEST SIDES OF THE CASCADE RANGE IN OREGON, WASHINGTON, AND CALIFORNIA

We compare how socioeconomic factors, physical landscape, profit uncertainty, and local land use policies have affected land development on the east and west sides of the Cascade Range in Oregon, Washington, and California. It is found that the west side has more actively planned and regulated land use than the east side. Consequently, the more intense land use regulations on the west side have reduced more land development than on the east side. Risks associated with alternative land uses as well as profits were important in land development decisions of both sides.     

Book-Tax Differences and Inland Revenue Audit Adjustments in New Zealand

Abstract:  Using confidential data from US manufacturing firms' tax returns and Inland Revenue Service (IRS) audit adjustments, Mills (1998) tests, and finds support for, her hypothesis that IRS audit adjustments increase as the book-tax differences increase. We test Mills' hypothesis using confidential data obtained from the New Zealand Inland Revenue (hereafter Inland Revenue). Confidential data provide the key variable of interest, Inland Revenue's proposed audit adjustment, which is not available from public sources. These data provide the exact audit adjustment amounts, eliminating measurement errors inherent in proxy variables, and enable a temporal alignment of the book-tax differences with the Inland Revenue audit adjustments, thereby enhancing the internal validity of the relation between book-tax differences and Inland Revenue audit adjustments. Because the results of our study using New Zealand data, another time period, a more diverse set of firms, and a different institutional environment are consistent with those of Mills, we argue for the generalizability of Mills' hypothesis that proposed audit adjustments are positively related to the excess of book income over taxable income.     

FACTOR ACCUMULATION AND THE TERMS OF TRADE: APPLICATIONS TO THE ASIAN FINANCIAL CRISIS

Abstract.  This paper investigates the effects of population growth and capital accumulation on trade and welfare. In the absence of a terms of trade effect, an population increase reduces the standard of living and causes a reduction in welfare. An increase in population causes deterioration in the terms of trade of a labour abundant country, whereas capital accumulation improves them, regardless of the source of growth. Moreover, an increase in the South's population is immiserizing.     

Maximum Eigenvalue Test for Seasonal Cointegrating Ranks*

The maximum eigenvalue (ME) test for seasonal cointegrating ranks is presented using the approach of Cubadda [Oxford Bulletin of Economics and Statistics (2001), Vol. 63, pp. 497–511], which is computationally more efficient than that of Johansen and Schaumburg [Journal of Econometrics (1999), Vol. 88, pp. 301–339]. The asymptotic distributions of the ME test statistics are obtained for several cases that depend on the nature of deterministic terms. Monte Carlo experiments are conducted to evaluate the relative performances of the proposed ME test and the trace test, and we illustrate these tests using a monthly time series.     

Salesperson's innovation resistance and job satisfaction in intra-organizational diffusion of sales force automation technologies: The case of South Korea

One of the rapidly growing areas in industrial marketing is the application of sales force automation (SFA) technologies to help improve the efficiency of the sales force task. What is often overlooked is that there are some potential negative effects related to SFA technologies that arise when these innovations are forcefully adopted on the individual salesperson. This study empirically examines the psychological and social antecedents of salespeople's resistance toward SFA technologies in South Korea. Unlike previous studies that only looked at adoption, this studies adds to the literature on SFA technologies by looking at resistance toward innovation in the post-adoption or intra-organizational diffusion stage. This study looks at the direct and indirect relationships between innovation resistance and some key constructs such as job satisfaction, job performance, self-efficacy, group-efficacy, innovativeness, and peer usage. This study represents also one of the very few empirical studies conducted on sales force behavior in South Korea and as such may offer some insights on sales force management in collectivist cultures.     

Escaping Nash Inflation

An ordinary differential equation (ODE) gives the mean dynamics that govern the convergence to self-confirming equilibria of self-referential systems under discounted least squares learning. Another ODE governs escape dynamics that recurrently propel away from a self-confirming equilibrium. In a model with a unique self-confirming equilibrium, the escape dynamics make the government discover too strong a version of the natural rate hypothesis. The escape route dynamics cause recurrent outcomes close to the Ramsey (commitment) inflation rate in a model with an adaptive government.
"If an unlikely event occurs, it is very likely to occur in the most likely way."
Michael Harrison     

Structure and Location of Innovative Activity in the Italian Economy, 1981–85

An ‘innovative activity matrix’ is established from a recent ISTAT/CNR survey of innovation. After specifying the particularities of an innovative activity matrix in comparison with other flow matrices, we show that it is asymmetrical and clustered in parts of economic space. The structure of the innovative activity matrix is similar to that of the domestic and import requirement but not the capital flow matrix. Strong correlations indicate the following: that input–output analysis is useful for identifying the location of innovative activities in economic space; that it can be analyzed in an economically meaningful way; that its location is structured; and that, furthermore, it is structured in ways which are statistically related to economic activity. The paper ends with suggestions for the examination of possible causal relationships.