Who Gains from the Demographic Dividend? Forecasting Income by Age

Changes in the population age structure are known to influence the total income per person, but little is known about whether the changes are equally shared across the population or are concentrated on particular age groups and/or birth cohorts. The answer to this question has potentially important implications for income inequality, human capital investment, and fertility decision-making. We propose a new model of intergenerational transfers which distinguishes between the effects of changes in population structure and the effects of changes in family age structure. Using age-specific data from annual income and expenditure surveys of Taiwan between 1978 and 1998, we show that changes in age structure have had a very favorable effect on Taiwan's income growth. The gains are not equally shared by all age groups, however. Children and young adults have benefited the most, while the elderly have benefited the least. The population and family age structures have independent effects on per capita income; the effect of the population age structure is most important. Generational differences in per capita income are closely related to intergenerational differences in earnings, suggesting only a weak form of altruism. Finally, we predict that, on average, population aging will adversely influence the per capita income growth in Taiwan in the coming decades.     

The effect of annual changes in automobile fuel economy standards

Since 1978 the Federal government has regulated the fuel economy of new cars sold in the United States. The purpose of Corporate Average Fuel Economy (CAFE) standards is to lessen the national dependence on foreign oil. Through the use of theoretical and empirical models this paper examines the impact of CAFE standards on the automobile industry and on energy consumption. It is shown that CAFE standards may or may not save energy. If CAFE does save energy, it does so at a prohibitive cost to the economy. CAFE standards are also shown to have a number of perverse impacts on the automobile industry as well as consumers.     

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.     

Roads, Land Use, and Deforestation: A Spatial Model Applied to Belize

Rural roads promote economic development, but they also facilitatedeforestation. To explore this tradeoff, this article developsa spatially explicit model of land use and estimates probabilitiesof alternative land uses as a function of land characteristicsand distance to market using a multinomial logit specificationof this model. Controls are incorporated for the endogeneityof road placement. The model is applied to data for southern Belize, an area experiencingrapid expansion of both subsistence and commercial agriculture,using geographic information system (GIS) techniques to selectsample points at 1-kilometer intervals. Market access, landquality, and tenure status affect the probability of agriculturalland use synergistically, having differential effects on thelikelihood of commercial versus semisubsistence farming. Theresults suggest that road building in areas with agriculturallypoor soils and low population densities may be a "lose-lose"proposition, causing habitat fragmentation and providing loweconomic returns.     

Research Note: Revisiting Fair Value Accounting––Measuring Commercial Banks' Liabilities

IAS 39, Financial Instruments: Recognition and Measurement (IASB, 2000), requires assets to be marked to fair value if held-for-trading, available-for-sale purposes, or if they are derivatives; held-to-maturity securities, originated loans and originated securities are measured at amortized cost, providing they are not held-for-trading. Financial liabilities are measured at amortized cost except those that are held-for-trading or derivatives. A proposed amendment would accommodate improved fair value measurement of financial instruments. Commercial banks are greatly affected by any accounting standard concerning the recognition and measurement of financial instruments, whether related to assets or liabilities. This article demonstrates that the existing and proposed standards perpetuate the mismeasurement of interest rate risk for commercial banks. Under IAS 39 banks that have a balanced position, that is, no interest rate risk, counterfactually could show large changes in income through interest rate changes. An alternative accounting treatment, full fair value reporting of financial assets and liabilities, including all loans and deposits, is offered. Presently fair value data are mandated as footnote disclosure.     

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.