MODELLING PRODUCTIVITY EFFECTS OF TRADE OPENNESS: A DUAL APPROACH*

A cost function framework is used to model the productivity effect of trade openness in terms of cost saving. The idea of ‘cost saving’ is closer to the entrepreneur's view of productivity. An entrepreneur would expect a reduction in the cost of production if trade openness brings any benefits to their firm. The output‐enhancing (primal) productivity effect of openness is obtainable from the cost‐saving (dual) productivity effect through the cost‐output link. The cost‐function framework also enables us to investigate whether trade openness induces firms to adopt a technology that is biased towards the use or saving of any factor of production. An empirical exercise based on time series data for the Australian two‐digit manufacturing industries reveals significant cost‐saving and output‐enhancing productivity effects of trade openness. Trade openness is biased towards the saving of labour and the use of capital. These results are quite insensitive to the choice of alternative measures of openness.     

Managerial Skills Acquisition and the Theory of Economic Development

Why don't all countries converge rapidly to the use of most efficient or best practice technologies? Micro level studies suggest managerial skills play a key role in the adoption of modern technologies. In this paper we model the interactive process between on-the-job managerial skill acquisition and the adoption of modern technology. We use the model to illustrate why some countries develop managerial skills quickly and adopt best practice technologies, while others stay backwards. The model also explains why managers will not migrate from rich countries to poor countries, as would be needed to generate convergence. Finally we show why standard growth accounting exercises will incorrectly attribute a large proportion of managerial skills' contribution to total factor productivity and we quantify the importance of this bias.     

RECENT TRENDS IN JOB TRAINING

This paper analyzes new data on job qualifications and training. Between 1983 and 1991, the share of workers reporting skill-improvement training on their jobs increased as did the wage premium for this training. Even in 1991, however, 58 percent of all workers reported no training on their jobs, and 44 percent reported needing no special qualifications to obtain their jobs. Training rates are especially low for young and less-educated workers. Skill demands appear to have shifted toward general and cognitive skills—best taught in formal training programs and schools—and away from specific and manual skills acquired through informal on-the-job training .     

SCREENING AND MERGER ACTIVITY*

In our paper, the target of a proposed merger, by setting a reserve price, is able to screen prospective acquirers according to their (expected) ability to generate merger‐specific synergies. Both empirical evidence and many merger models suggest that the difference between high and low‐synergy mergers becomes smaller during booms. Thus, a target's opportunity cost for sorting out relatively less fitting acquirers increases and, hence, targets screen less tightly during booms, which leads to a hike in merger activity. Our screening mechanism not only predicts that merger activity is intense during booms and subdued during recessions but is also consistent with other stylized facts about takeovers and generates novel testable predictions.     

House Price Markups and Mortgage Defaults

The transaction price of identical housing units can vary widely due to heterogeneity in buyer and seller preferences, matching, and search costs, generating what we term “markups” above or below the average market price. We measure markups for 3.4 million purchase-money mortgages and show that they can predict mortgage defaults and credit losses conditional on default even after accounting for collateral coverage (loan-to-value ratio) and a comprehensive set of other covariates. The findings suggest that standard collateral coverage estimation may be inaccurate, with implications for both individual and portfolio-level credit risk assessment.