TRADE CREATION AND DIVERSION EFFECTS OF THE U.S.-CANADIAN FREE TRADE AGREEMENT

This study empirically estimates and evaluates the economic benefits of the U.S. and Canadian Free Trade Agreement (FTA). Most past studies rely on aggregate data. The analysis here emphasizes the trade effects of removing tariff and nontariff barriers on each commodity group classified by the Standard International Trade Classification. Estimating the amount of trade expansion under FTA for both countries involves using the import demand elasticities from a dynamic demand model. Results show that U.S. imports from Canada are more sensitive to domestic, import, and world prices than are Canadian imports from the United States. U.S. imports from Canada would increase roughly £3.257 billion compared to the £2.432 billion increase for Canadian imports from the United States .     

Estimating demand elasticities under rationing

Eliminating rationing in the United Kingdom following the Second World War was a concern for policy-makers because of potentially large fluctuations in post-war prices and the impact on unrationed goods. This study shows that in using virtual prices, elasticities can be estimated from a ‘free’ demand system consistent with observed consumer choices. Substitution estimates without accounting for rationing are misleading. In contrast, using virtual prices and estimating a ‘free’ market system yield results similar to those of the pre-war period. Results show that food rationing affected expenditure across unrationed goods. Rationing on other services had little effect on expenditure across unrationed goods.     

Demand system estimation in the absence of price data: an application of Stone-Lewbel price indices

This article evaluates the feasibility of estimating a system of demand equations in the absence of price information using the approach developed by Lewbel (1989). Stone-Lewbel (SL) price indices for commodity groups are constructed using information on the budget shares and the Consumer Price Indices (CPIs) of the goods comprising the commodity groups, which allows for household-level prices to be recovered. This study evaluates how susceptible are elasticities and marginal effects estimates from traditional parametric demand systems to the CPI used in the construction of the SL prices. To do this, three alternative regional CPIs are considered for the construction of the SL prices: monthly, quarterly and a constant (unity) price index. Elasticities and marginal effect estimates are computed for eight food commodity groups using the Exact Affine Stone Index (EASI) model as the parametric demand system and data from the United States Consumer Expenditure Survey. The estimates proved to be robust to the alternative regional CPIs considered in the construction of SL price indices, even to the absence of one. Hence, the results suggest that it is possible to accurately estimate a demand system even in the absence of price information.     

IMPACT OF PRICING STRUCTURE SELECTIVITY ON URBAN WATER DEMAND

Interest in demand management policies has intensified as residential water demand has grown in the United States. Using data from the 1984 American Water Works Association (AWWA) survey, the study here provides an empirical analysis of the differences in price elasticities of demand across water pricing block structures and examines these structures' "conservation-orientedness." However, a potential sample selection bias exists. That is, in cities where people are more interested in conservation, utility managers may be more likely to select a rate structure that they believe is conservation-oriented–an increasing block structure, for example. Managers' selectivity bias may cause research results either to understate or to overstate a particular block structure's impact on water conservation. The analysis here corrects for this selectivity bias in estimating water demand and tests whether consumers respond to average prices or to marginal prices. Correcting for selectivity bias involves an explicit analysis of the factors that influence utility managers' selection of rate structures. Estimating water demand under increasing and decreasing block structures suggests that sample selection bias remains a problem worthy of further investigation.     

Functional forms and habit effects in the US demand for coffee

Coffee remains the leading hot beverage consumed in the United States. The present study specifies for estimation an unrestrictive Box-Cox demand model (1957–87 data) and its nested forms, to provide more recent estimates and assess potential functional misspecification in past studies fitting a priori restrictive models; incorporates the (health trend) effects of sugar and orange juice and tests the compatibility of coffee demand data with the habit

formation hypothesis; and assesses implications of demand elasticity estimates for projected producer revenues and demand for imported coffee. Maximum-likelihood estimates of the Box-Cox model: automatically satisfy theoretical demand properties; support strongly incorporating habits and related beverage and sugar prices in coffee demand model; predict inelastic US coffee consumption to reduce per capita 24% and increase producer revenues 6.3% in 2000.     

The economic impact of reducing on-base naval housing

This article develops a methodology for estimating the impact on rents and home prices from a hypothetical reduction of on-base naval housing from 56 naval bases in the United States. Based on data from the Center for Naval Analyses and the U.S. Census of Housing, and response coefficients from housing economics literature, illustrative estimates are presented of the short-run and long-run and long-run impact of reducing naval housing.
Key factors determining the increase in rents and home prices include (1) the increase in demand for housing in the private sector resulting from the reduction of on-base naval housing, (2) the short-run and long-run elasticities of supply of private sector housing with respect to housing prices, and (3) the elasticity of demand to live in a defined housing area with respect to housing prices.
We find that the effects on rents and home prices are in most cases small in the short run and negligible in the long run. The median first-year rent increase in the 53 counties is estimated to be 0.90%, with only 9 of the counties still expected to experience rent increases of as much as 4%. In the long run, the median rent increase is estimated to be only 0.10%. Because the purchase of a home is a long-term investment, we find that the impact on home prices is negligible, similar to the long-run impact on rents.     

Effects of enforcement on illegal markets: Evidence from migrant smuggling along the southwestern border

The paper analyzes the effects of tighter border control on the illegal crossing market between Mexico and the United States. Combining panel data on illegal migrants with enforcement statistics, the effects of enforcement are found to be moderate: prices of border smugglers (‘coyotes’) increased by only 17%, while the demand for smugglers has remained unchanged. Enforcement has however shifted illegal migrants to remote crossing places. Border crossing is now more time-intensive with higher prices for coyotes and risk of death. This geographic substitution raised migration costs by $140, more than twice the effect of enforcement on smuggling prices.     

The impact of regional competition on the health care industry

We investigate factors that determine firm markups by employing data on prices and quantities of various medical procedures at major hospitals in the United States. We focus on the impact of hospital quality, rival competition and the number of medical procedures upon the health care demand. Our analysis covers health-care markets across the United States with the market definition based upon the hospital referral regions. Our findings highlight potential implications of the relationship between hospital markups and market structure.     

Model selection when estimating and predicting consumer demands using international,cross section data

This paper assesses the ability of five structural demand systems to predict demands when estimated with cross sectional data spanning countries with widely varying per capita expenditure levels. Results indicate demand systems with less restrictive income responses are superior to demand systems with more restrictive income effects. Among the least restrictive demand systems considered, An Implicitly, Directly Additive Demand System (AIDADS) and Quadratic Almost Ideal Demand System (QUAIDS) seem roughly tied for best, while the Quadratic Expenditure System (QES) is a close second. Given differences in the characteristics of AIDADS and QUAIDS, it is concluded the former is better suited to instances where income exhibits wide variation and the latter to cases when prices exhibit considerable variation. First Version Received: November 2000/Final Version Received: February 2002 RID="*" ID="*"  The authors acknowledge the insightful comments of two journal referees and Baldev Raj. Bettina Aten kindly provided the data used in this study. Any errors or omissions remain the responsibility of the authors. Partial financial support of the United States Department of Agriculture – National Research Initiative Grant #97-35400-4752 and the Purdue Research Foundation is gratefully acknowledged. An expanded version of this paper is available from the authors upon request. RID="**" ID="**"  Contact author     

That elusive elasticity and the ubiquitous bias: Is panel data a panacea?

There is often assumed to be a unit elasticity of substitution between capital and labour. But estimates based on neoclassical capital demand equations frequently find a smaller value. Recent time-series work for the United States and Canada has suggested that, once the biases inherent in estimating cointegrating vectors are properly accounted for, the elasticity could indeed be close to 1. We investigate this possibility for the United Kingdom. First we use aggregate data and find that the estimated elasticity is in the neighbourhood of 0.4. We then exploit a unique industry-level dataset for the United Kingdom to try and further pinpoint our estimates. Estimates using dynamic panel data methods are close to our benchmark estimate using aggregate data, providing a robust statistical rejection of a unit elasticity in UK data.     

Response of industrial customers to hourly pricing in Ontario’s deregulated electricity market

This paper uses hourly data from Ontario (Canada) between 2005 and 2008 to estimate the effects of real time wholesale electricity prices on demand by industrial customers. Nonlinear SUR estimates from Generalized Leontief (GL) specifications reveal elasticities of substitution from 0.02 to 0.07, confirming that industrial customers (connected to the transmission grid) shift consumption across peak and off-peak periods in order to reap benefits of lower prices. Estimates from FGLS and IV models suggest that this reduction in demand by industrial customers results in lower wholesale prices, which benefits all consumers. The policy lesson is that market based schemes that encourage Real Time Pricing (RTP) pricing should result in positive spillovers to all consumers.     

ACCRUED CAPITAL GAINS, PERSONAL INCOME AND SAVING IN THE UNITED STATES, 1948–1964

Capital gains are an important source of personal income in the United States but they are not included in the national accounts or the official estimate of personal income and saving. Individuals report their realized gains for tax purposes but the economic theorist would include both realized and accrued gains in income. National income theorists continue to debate whether capital gains should be included in income but, because of the many conceptual and statistical problems involved in estimating capital gains, no satisfactory estimates have been developed. Consequently, the debate has stayed mainly at the theoretical level. This paper deals with the methodology of estimating accrued capital gains. A simple analytical model is developed to estimate capital gains from data on market value and net acquisitions of an asset but the model can be adapted to incorporate asset prices directly. It is shown that the methods used for estimating accrued gains in the past are special cases of the model proposed in the paper. The model is then used for estimating gains accruing to individuals in the United States on their holdings of corporate stock, real estate and livestock during 1948–1964.
During this period accrued gains have amounted to roughly five times the realized gains reported for tax purposes; corporate stock and real estate are the most important sources of capital gains and corporate stock accounts for almost two-thirds of all accrued gains. The paper goes on to examine the implications of these estimates for the existing series on personal income and saving in the United States. The inclusion of accrued gains would increase the variance in the official estimates but personal saving is affected more than personal income. The paper concludes with an evaluation of these results and some suggestions for further research.     

Biofuels and Land Use Change: Sugarcane and Soybean Acreage Response in Brazil

Scientists and economists are increasingly worried that biofuels production is leading to land use changes in the form of competition with food crops or loss of natural ecosystems. I estimate acreage conversion in response to shocks in sugarcane (a biofuels feedstock) and soybean (thought to be affected by United States corn ethanol production) prices in Brazil at a national and regional level. Using county-level data from 1973 to 2005, I consider a dynamic panel data model of input demand for agricultural land, conditioning on price changes of other commodities. The short-run crop-price elasticity of sugarcane acreage in Brazil is estimated to be approximately zero, whereas the elasticity of soybean acreage is 0.9 when both spot and futures prices change. The regional estimates for soybeans show considerable variation, and are highest in areas of ecological importance, such as the cerrado. Sugarcane estimates are more homogeneous. These results should be taken into account in impact assessments of biofuels.     

AN ESTIMATION OF U.S. FAMILY WEALTH AND ITS DISTRIBUTION FROM MICRODATA, 1973

This paper presents a method of estimating U.S. family net wealth across the entire population, utilizing capitalization of several income items available from income tax microdata. Other forms of wealth, and debt, are indirectly estimated using relationships gleaned from estate tax data. Concentration in the distribution of wealth, and assets such as corporate stock, are measured with Gini coefficients and Lorenz curve analysis and compared to similar estimates of concentration in the distribution of income. Comparisons of the results with previous estimates for the United States are made in the latter section of the paper.     

The United States is a Small Country in World Trade*

Despite being the largest country in world trade and thus presumably having high optimal tariffs, the United States has long had low and declining levels of protection. This paradox suggests that the United States is failing to exploit its monopsony power by levying optimal tariffs. Using data on world output and trade flows, we find that the United States is a small country in world trade in that its trade policies have negligible impacts on world prices. In the median manufacturing industry, US tariffs reduce world prices by only 0.12%. United States optimal tariffs are also typically small (3.6% in the median industry) and are lower than existing US tariffs in most industries. It is no puzzle that the United States has been a champion of free trade since the 1930s—the United States, like other small countries, benefits economically from tariff reductions.     

The US National Tobacco Settlement: the effects of advertising and price changes on cigarette consumption

This paper provides an econometric analysis of the effects of cigarette price and advertising changes stemming from the United States Tobacco Settlement of 1998. This is done by estimation of a demand function for cigarettes, based on data from both before and after the Settlement. The model is estimated using monthly time series data for the period 1990–2000. Results show that the increase in cigarette prices stemming from the Settlement reduced per capita cigarette consumption in the USA by 8.3%. However, the cigarette companies also increased advertising in the years immediately preceding and following the Settlement. This study estimates that this increased advertising partially offsets the effects of the higher prices, increasing cigarette consumption by 2.7 to 4.7%, and hence blunting the effects of the price increase by 33–57%.     

Market and regulatory forces in the pricing of legal services

New data on individual law firms and attorneys is used to examine the effects of professional licensing restrictions and market forces on prices of legal services. The data allow detailed testing of the hypothesis that licensing restrictions serve to increase the price of professional services as well as the incomes of those providing these services. In general, little support is found for this hypothesis. Instead, the estimates show that market forces are most important in explaining variations in prices and attorney incomes.Dean Lueck is on leave from Louisiana State University. We thank William Boiger, Executive Director of the National Resource Center for Consumers of Legal Services, for providing data on law firms. Andrew Dick, Philip Hersch, Andy Kleit, Bill Kovacic, Fred McChesney, Jeff Moore, and two anonymous referees provided helpful comments on earlier versions. Chris Diener, Jim Larkins, Robert Pace, and Darrin Timothy provided research assistance.     

BILATERAL TRADE RELATIONSHIP BETWEEN THE UNITED STATES AND CANADA: IMPLICATIONS OF THE FREE TRADE AGREEMENT

This study's primary objective is to evaluate empirically the economic effects of the U.S.-Canada Free Trade Agreement (FTA). The paper emphasizes bilateral trade flows of agricultural and industrial products between the United States and Canada, given that the FTA removes tariff and non-tariff barriers. It evaluates the FTA's impact on the two countries' trade with third countries. The paper specifies a traditional log-linear trade model consisting of import demand and export supply equations for both agricultural and industrial products. It uses quarterly time-series U.S. and Canadian trade data for 1972–1985.
The study uses the two-stage least-squares estimator to estimate the models. The models had R coefficients ranging from 0.78 to 0.99, indicating that the models' explanatory variables explain most causes of variations in the dependent variable. This study reveals that U.S. imports of agricultural and industrial products from Canada were more sensitive than were Canadian imports not only to import and domestic prices but also to world prices. This is because Canadian consumers have less domestic substitutes than do their U.S. counterparts. Also, Canada has a smaller internal market than does the United States. The study estimates that U.S. imports from Canada will increase $2.8 billion while Canadian imports from the United States will increase $1.2 billion. The impact on the two countries' trade with third-party countries will be insignificant.     

The amenity value of climate change across different regions in the United States

This article estimates the effect of climatic variables on house prices near ski resorts in different regions in the United States. We find that among the climate variables we test, average winter temperature has the most significant and robust effect where an increase in this climate variable increases house prices near ski resorts at a decreasing rate. At the mean average winter temperature levels, an increase in average winter temperature reduces housing prices for all regions except the Northeast. The consumer surplus from projected average winter temperature changes is negative across all regions and the largest negative effects are in the Midwest and Mountain regions.     

Long-Period Trade Elasticities for Canada, Japan, and the United States

Most analyses of imports use brief, postwar samples and offer a large range of elasticity estimates suggesting that the role of income and prices in determining imports is not known with any precision. This paper offers an analysis of that role using data since 1890 for Canada, Japan, and the United States. The elasticities of the log–linear model are estimated and found to be inconsistent with the view that income and prices affect imports. Optimization models are considered and found to predict secular changes in income and price elasticities and explain the dispersion of estimates of the literature.