How Fast Do Banks Adjust? A Dynamic Model of Labor-Use with an Application to Swedish Banks

This paper deals with a dynamic adjustment process in which adjustment of a key variable input (labor) towards its desired level is modeled in a panel data context. The partial adjustment type model is extended to make the adjustment parameter both firm- and time-specific by specifying it as a function of firm- and time-specific variables. Desired level of labor use is represented by a labor requirement function, which is a function of outputs and other firm-specific variables. The catch-up factor is defined as the ratio of actual to desired level of employment. Productivity growth is then defined in terms of a shift in the desired level of labor use and the change in the catch-up factor. Swedish banking data is used as an application of the above model.     

Natural conjugate priors for the instrumental variables regression model applied to the Angrist–Krueger data

We propose a natural conjugate prior for the instrumental variables regression model. The prior is a natural conjugate one since the marginal prior and posterior of the structural parameter have the same functional expressions which directly reveal the update from prior to posterior. The Jeffreys prior results from a specific setting of the prior parameters and results in a marginal posterior of the structural parameter that has an identical functional form as the sampling density of the limited information maximum likelihood estimator. We construct informative priors for the Angrist–Krueger [1991. Does compulsory school attendance affect schooling and earnings? Quarterly Journal of Economics 106, 979–1014] data and show that the marginal posterior of the return on education in the US coincides with the marginal posterior from the Southern region when we use the Jeffreys prior. This result occurs since the instruments are the strongest in the Southern region and the posterior using the Jeffreys prior, identical to maximum likelihood, focusses on the strongest available instruments. We construct informative priors for the other regions that make their posteriors of the return on education similar to that of the US and the Southern region. These priors show the amount of prior information needed to obtain comparable results for all regions.     

The Methodology of Risk Perception Research

Risk perception is not strictly a matter ofsensory perception, but of attitudesand expectations. As such, it can be studied byreasonably well developed methods of attitudemeasurement and psychological scaling. Suchmeasurement needs to be applied in a pragmaticfashion, however, since the discussions of fundamentalmeasurement and requirements of scale levelsappropriate for various types of statistical analysis hasfailed in establishing a useful basis for empiricalresearch. The paper also discuses samplingprocedures and the response rateproblem. In risk perception work, there is usually abias involving too many respondents withan above average level ofeducation, but that variable tends to be weaklyrelated to risk perception variables. Finally,post-modern claims and their rejection ofquantitative methods are critically discussed.     

The Future European Labor Supply: The Critical Role of the Family

The European employment strategy initiated in 1997 is critically dependent upon the further integration of women into the labor market. The European Union has set a specific target employment rate for women of 60 percent by 2010 and is also committed to providing more and better child care facilities. This gender focus is reinforced by the requirement for gender mainstreaming in all aspects of European employment policy. There is an implied Europe-wide, universal policy of encouraging female labor-market participation and reducing the care work performed by domestic labor. However, the European Commission continues to have limited competence in areas of family, social, and welfare policy. As a result, these common employment objectives for women are thus being pursued against a background of quite different systems of social, family, welfare, and indeed labor-market organization. These systems have different economic and employment implications, such that the outcomes of the common European employment strategy will also be highly variable.     

The Swedish third way: an assessment of the performance and validity of the Rehn-Meidner model

This paper analyses the functioning of the Rehn–Meidnermodel in Sweden and the validity of the model's underlying theory.Both sceptics and friends of ‘the Swedish model’have exaggerated the effects of active labour market policyand solidarity wage policy on employment, inflation and growth.However, these policies have contributed to the reduction ofhysteresis effects and wage differentials in Sweden. Furthermore,Swedish experiences confirm the Rehn–Meidner view thatpositive demand shocks and expansionary macroeconomic policiesmake it difficult to combine full employment with price stability,economic growth and equity even if central wage negotiationsare coordinated and trade unions willingly accept wage restraint.     

Electrification and energy productivity

Energy productivity is crucial for sustainable development. We use cointegration analyses to investigate the effect of electricity on energy productivity in Swedish industry from 1930 to 1990. Electricity augmented energy productivity in those industrial branches that used electricity for multiple purposes. This productivity effect goes beyond “book-keeping effects,” i. e. it is not only the result of electricity being produced in one sector (taking the energy transformation losses) and consumed in another (receiving the benefits).     

Conversion subsidies for organic production: results from Sweden and lessons for the United States

Organic conversion subsidies used in Europe are less likely to be politically acceptable in the United States, where organic agriculture development is market‐driven. Persistent barriers to conversion in the United States include limited availability of and access to production and market information, training in management systems and cost of conversion‐related investments. By determining whether these factors affect the requirement of a subsidy to convert, we can suggest whether U.S. policy makers need to provide subsidies to encourage conversion and identify policy variables consistent with market‐based approaches that could stimulate conversion. A utility difference model is used with Swedish data to analyze factors that determine whether a subsidy is required to motivate organic conversion. The results show that farmers requiring subsidies manage larger less‐diversified farms and are more concerned with organic inspection, quality, and adequacy of technical advice. Access to more market outlets and information sources substitutes for payment level in the farmer's utility function, indicating that services rather than subsidies may be used to encourage organic agriculture. To the extent that conditions are similar in the U.S. organic sector, market‐based programs such as cost‐sharing for conversion and market access improvement should stimulate growth of this industry.     

A Monte Carlo comparison of the maximum likelihood and the corrected ols estimators for Tobit models

Green (1981,1983) proposed a simple way to correct the bias of OLS in Tobit models. In this paper, I present some Monte Carlo results comparing the performance of the Corrected OLS (COLS) with the Maximum Likelihood (ML) estimator.