Using Micro Data to Test the Divergence between Prices and Labour Values

An extremely robust finding in Marxian empirical economics is the 'Shaikh result' that estimates of labour values are closely correlated with prices. This result is established using input-output data together with a standard procedure in which variations in money wages are assumed to reflect labour quality. Two problems with this standard procedure can be identified. First, there is no translation between money units of wages and labour value units of output produced by different types of heterogeneous labour. Second, the standard procedure assumes perfectly competitive labour markets. In this paper, a new micro procedure for estimating labour values is developed in which both of these problems are addressed. To translate between money wage rates and the labour value of outputs a practical starting point for empirical analysis is suggested using some of the readily available tools of neoclassical economics. The assumption of perfect competition is accordingly relaxed by estimating a microeconometric wage equation using data from the UK Family Expenditure Survey. Conjoining this micro data with input-output data, estimates of labour values are used to test the Shaikh result, which is found not to hold in this particular exercise; with labour values diverging substantially from money prices.     

Portfolio Capital Flows: Hot or Cold?

A distinction is often made between short-term and long-termcapital flows: the former are deemed unstable hot money andthe latter are deemed stable cold money. Using time-series analysisof balance of payments data for five industrial and five developingcountries, we find that in most cases the labels "short-term"and "long-term" do not provide any information about the time-seriesproperties of the flow. In particular, long-term flows are oftenas volatile as short-term flows, and the time it takes for anunexpected shock to a flow to die out is similar across flows.long-term flows are also at least as unpredictable as short-termflows, and knowledge of the type of flow does not improve theability to forecast the aggregate capital account.     

Money and exchange rates in the Grossman-Weiss-Rotemberg model

We analyze the impact of monetary policy on inflation, interest rates and exchange rates in a model with segmented asset markets developed by Grossman and Weiss (1983) and Rotemberg (1984, 1985). We find parameters for which real and nominal exchange rates in this model are (1) much more volatile than interest rates, inflation rates, and money growth rates, (2) highly correlated with each other, and (3) highly persistent. While this model fails to match the data in other important respects, it illustrates a potentially useful approach to modelling exchange rate behavior.     

Trade costs, firms and productivity

This paper examines the response of U.S. manufacturing industries and plants to changes in trade costs using a unique new dataset on industry-level tariff and transportation rates. Our results lend support to recent heterogeneous-firm models of international trade that predict a reallocation of economic activity towards high-productivity firms as trade costs fall. We find that industries experiencing relatively large declines in trade costs exhibit relatively strong productivity growth. We also find that low-productivity plants in industries with falling trade costs are more likely to die; that relatively high-productivity non-exporters are more likely to start exporting in response to falling trade costs; and that existing exporters increase their shipments abroad as trade costs fall. Finally, we provide evidence of productivity growth within firms in response to decreases in industry-level trade costs.     

Decomposing the market,industry, and firm components of profitability: implications for forecasts of profitability

Academics and practitioners frequently highlight that overall market and industry performance is an important aspect of a firm’s profitability. However, few studies allow for the decomposition of a firm’s profitability into market, industry, and idiosyncratic components, and those that do often assume that the market and industry components are cross-sectional constants. In this study, we allow for variation in firm-specific sensitivities to market, industry, and idiosyncratic economic shocks, and then assess whether and when this decomposition results in improved forecasts of profitability. For the overall sample, we find significant improvements in terms of the magnitude of forecast errors and the frequency with which forecasts based on the decomposed values are superior versus forecasts using only total profitability. Across the sample as a whole, decomposing profitability in the forecasting process results in more accurate forecasts greater than two-thirds of the time (increasing to almost 80% within certain subsamples). Our results provide strong support for the role that firm-specific measures of market and industry profitability play in predicting a firm’s future performance, as well as highlighting settings where the decomposition provides the greatest benefit in terms of predicting future changes in profitability.     

The contingency theory of corporate reporting: Some empirical evidence

This research explores the proposition that certain disclosure and measurment practices in corporate reporting are contingent upon environmental uncertainty, technology and organisation size. The findings show that while the disclosure of forecast information is associated with environmental homogeneity, certain measurement practices are primarily influenced by company size. The results cast doubt on the general applicability of Watts and Zimmerman's (Accounting Review, January 1978, pp. 112–133) theory, and may have a number of implications for the setting of Accounting Standards.     

The unpopularity of the hearth tax and the social geography of London in 1666

This article presents a new evaluation of the Restoration hearth tax and the social geography of London, first, by comparing the 1666 London hearth tax return with unpublished collectors’ accounts; second, by analysing the huge amount of extraneous data in these records on the social conditions in London; and third, by considering how different forms of tax avoidance and tax evasion operated on the streets of London. The article discusses wealth distribution by location and social status, and shows how privileged groups used diplomatic, ecclesiastical, and military rank to avoid the hearth tax, while ordinary householders turned to doorstep opposition, especially in the outer and poorer suburbs, in expressing their hostility towards the heath tax. The article demonstrates that in Metropolitan London the assessment and collection of the hearth tax depended not only upon the enforcement of the parliamentary legislation, but also upon negotiation and give‐and‐take between tax collectors and tax payers, sometimes in consultation with the Crown. As a result the hearth tax failed to fill the king's purse, was unpopular in the capital and in the country, and created onerous work for both auditors and hearth tax collectors, which contributed to the short life of the hearth tax (1662–89).     

Program Evaluation and Review Technique (PERT) in Construction Schedule Risk Assessment

Construction project scheduling is one of the most critical factors for project success measurement.Not only for the project planning but for construction process management,the scheduling is the basic tool for communication between the owner and the project manager.By developing the schedule before the project starts,the owner knows in advance that the expected timeline of the project.By preparing construction process scheduling,the owner and general contractor can better manage the subcontractors,sub-trades progress,materials storage and deliveries,labors schedule and equipment set up which will eventually save time,money and hassle.Basically,Critical Path Method(CPM) is commonly used in the construction industry.CPM is a deterministic method that assumes that through the network,there is at least one path that determines the project duration and that the path is the critical path.CPM does not consider the uncertainty in the activities;rather it assumes that each activity can be finished in the given situation.Program Evaluation and Review Technique(PERT) is a stochastic technique which is based on the assumption that the duration of a single activity can be described by a probability density function.PERT takes into account the uncertainty during the construction process and has been created out of the need to plan,schedule and control complex projects with many uncertainties.The PERT approach is stated in some books and papers,but there is no deep investigation on the application in the schedule risk assessment.This paper investigates the PERT work process and takes a valuable try on the construction schedule risk assessment by using case studies.The utilization in the estimate the construction liquidated damage with the uncertainties is performed,which also can be used in the insurance company to calculate the insurance premium.