The Journal of Economics

Volume XXVIII, No. 1, 2002


An Alternative Model of Growth: Technology Adoption and Efficiency

Patrik T. Hultberg

A modified Solow growth model is introduced. The dynamic model considers the possibility of technology adoption and potential inefficiency caused by institutional rigidities. Countries are assumed to catch-up to the technological leader, but the potential to catch up may be compromised by their level of inefficiency. The inclusion of technology adoption, with and without institutional rigidities, slightly modifies the standard results for nations' steady states and rates of convergence (catch-up), and allows for different convergence paths. The model is estimated using both within estimation and Generalized Method of Moments technique on panel data. The data span 94 countries from 1960 to 1985 (Summers and Heston, PWT 5.6). The results show high rates of catch-up, which differ across groups of countries. It is argued that the estimated country inefficiency levels are consistent with common beliefs. The results are compared to a previous empirical growth study. (O30, O47)



The Czech Republic's Economic Prospects for Early EU Entry

Lowell R. Jacobsen

The Czech Republic (CR) is regarded as one of the "first wave" countries likely to join the European Union (EU) as early as 2004. Since the fall of the Berlin Wall in 1989 several Eastern and Central European countries have swiftly moved away from the visible hand of state-controlled economies and towards the “invisible hand” of market-driven economies. As a result, by 1998 six countries including the CR were invited to join the EU in accession negotiations, a major achievement as well as testimony to the EU's commitment to enlargement. Hence, membership for the CR and others is simply a matter of time. This paper argues to the extent the CR can successfully meet the convergence criteria as identified in the Maastrictht Treaty, the more compelling the case for early, rather than later, entry. (O52,P21,P52)



The Market for Tornado Safety: Analysis of Applications to the Oklahoma Saferoom Initiative

David Merrell, Kevin M. Simmons and Daniel Sutter

We examine applications to the Oklahoma Saferoom Initiative, which offered rebates to residents for construction of an in-home tornado shelter. Markets for risk mitigation are prone to market failure because consumers treat low probability, high consequence events as zero probability events. Tornado and tornado casualty rates vary across Oklahoma counties, and according to expected utility theory the application rate should vary accordingly. We confirm this prediction. Recent tornadoes and casualties, not surprisingly, predict application rates better than fifty year totals. (D81, I18)



The Working Capital Channel and Cross-Sector Comovement

Yi Jin and Zhixiong Zeng

This paper studies cross-sector comovement, one of the defining characteristics of the business cycle, in a monetary framework. We argue that monetary factors might be important for understanding this phenomenon through a working capital channel. We show that in a sticky portfolio adjustment model where firms borrow to finance working capital, a positive money supply shock drives the nominal interest rate down, thereby stimulating firms' borrowing and causing employment to rise in different sectors. A positive aggregate technology shock can also drive the nominal interest rate down upon impact and induce comovement when the elasticity of labor supply is large. (E32, E40)



Punitive Damages and the Optimal Level of Product Failure

Raymond J. Ballard and Dale R. Funderburk

For several years a battle has been waged between trial lawyers and American business regarding the issue of punitive damage awards. Given the staggering magnitude of the monetary penalties that modern juries often impose against defendant firms, as well as the potential damage to the reputation of the company, how far should a supplier go in terms of efforts to improve product performance and reduce safety risks? We present a simple model that may be used as a framework for determining the optimal level of product safety/failure (D21, K13).