Environmental Regulations and Plant Exit

A qualitative response model is applied to study the relationship between environmental regulations and plant exit. The data set is Norwegian panel data for establishments in three manufacturing sectors that have high shares of units which have been under strict environmental regulations. In two of the sectors, the estimated exit probability of regulated establishments is, ceteris paribus, only one third of the exit probability of non-regulated establishments. We also find that the probability to change regulation status from being non-regulated to become regulated depends significantly on economic factors. In particular, establishments with weak profitability had the highest probability to come under environmental regulation.     

A linear demand system within a seemingly unrelated time series equations framework

A seemingly unrelated time series equations framework for the linear almost ideal (AID) demand system is considered. The framework is applied to a consumer demand system covering nine non-durable commodities. Within a specification where the static linear AID system is augmented by latent variables representing stochastic trends and seasonality, demand homogeneity is tested; both in each equation and in the system as a whole. Income and own-price elasticities are calculated under homogeneity restrictions. Although the homogeneous model is formally rejected by statistical tests, it performs well with respect to interpretability, parameter stability and forecasting.     

Estimating the returns to schooling: a likelihood approach based on normal mixtures

In this paper we develop likelihood‐based methods for statistical inference in a joint system of equations for the choice of length of schooling and earnings. The model for schooling choice is assumed to be an ordered probit model, whereas the earnings equation contains variables that are flexible transformations of schooling and experience, with corresponding coefficients that are allowed to be heterogeneous across individuals. Under the assumption that the distribution of the random terms of the model can be expressed as a finite mixture of multinormal distributions, we show that the joint probability distribution for schooling and earnings can be expressed on closed form. In an application of our method on Norwegian data, we find that the mixed Gaussian model offers a substantial improvement in fit to the (heavy‐tailed) empirical distribution of log‐earnings compared to a multinormal benchmark model. Copyright © 2010 John Wiley & Sons, Ltd.     

Lumpy investments, factor adjustments, and labour productivity

This paper describes firms’ output and factor demandsbefore, during, and after episodes of lumpy investment. By usinga rich employer–employee panel data set for two manufacturingindustries and one service industry, we focus on simultaneousvariations in output, capital, materials, man hours, labourproductivity, and the skill composition and hourly cost of labour.Investment spikes are followed by roughly proportional changesin sales, labour, and materials, and significant increases incapital intensity. The changes in labour productivity that areassociated with the investment spikes are small, which indicatesthat productivity improvements are not related to instantaneoustechnological change through investment spikes. Focusing onsectoral differences, capital adjustments are found to be smootherin the service industry than in the two manufacturing industrieswhich may be related to differences in labour intensities betweenthe industries.     

Do Environmental Standards Harm Manufacturing Employment?

A major issue in the debate about imposing environmental standards on polluting firms is the possibility of negative effects on employment. We examine the impact of environmental regulations on employment in an empirical analysis. Norwegian data are used to study three manufacturing sectors with high shares of units under strict environmental regulations. We find that for two of these sectors, firms under strict environmental regulations had a higher tendency to increase employment and a lower tendency to exit than firms under weak or no environmental regulation. For the third sector, environmental regulations had no significant impact on employment.     

A METHOD FOR IMPROVED CAPITAL MEASUREMENT BY COMBINING ACCOUNTS AND FIRM INVESTMENT DATA

We propose a new method for estimating capital stocks at the firm level by combining business accounts information and investment data. The method also produces capital estimates at the sector or industry level by summing individual firms' capital stocks and appropriately inflating this sum to account for firms not included in the data set. Our approach has two major advantages compared with the much used Perpetual Inventory Method (PIM). First, long investment series are not necessary. Second, sector capital estimates are automatically adjusted for changes in the capital stock because of entry and exit of firms. While capital growth rates in Norwegian manufacturing were only 1 percent on average during 1993–2004 according to national accounts figures, our method yields much higher growth rates of 5.5 percent on average.