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 Underground Economy, the Demand for Currency Approach and the Analysis of Discrepancies: Some Recent European Experience

Recent estimates of the size of the "underground economy" have used the so-called "demand for currency approach." One of the assumptions made by these studies is that official statistics do not take into account the underground economy when estimating GDP. After setting some definitions, the paper presents a brief critical review of the method and results obtained for the European Union using this approach. It points out that the different concepts of unreported and unrecorded activities are incorrectly considered to be equivalent. The third section, after a review of the method of estimating the underground economy using the discrepancy approach, presents the new results of the authors which give an indication of the amount of the unreported activities already included in official national accounts statistics in the EU. The results of the discrepancy approach disprove the widespread belief that official statistics only include officially recorded transactions and reinforce the critical view on the results obtained with the currency-demand approach.     

Power laws in top wealth distributions: evidence from Canada

This article investigates Pareto power law (PPL) behavior at the top of the Canadian wealth distribution. To this end, Canadian Business data on the wealthiest 100 Canadians for the years 1999–2008 are used. The resulting estimates of the PPL exponent ranged from approximately 1.0 to 1.3 depending on the year of analysis and the estimation method used. These estimates are roughly comparable to those based on Forbes’ list of the wealthiest 400 Americans. Furthermore, whereas modified OLS and maximum likelihood estimates of the power law exponents conform to Zipf’s law, the OLS estimates do not. These results raise some concerns about deducing the magnitudes of and trends in the power law exponents based on a single estimation method and highlight the importance of extensive hypothesis testing for model adequacy. The battery of diagnostic tests pertaining to PPL behavior at the top of the Canadian wealth distribution yields some conflicting results.     

The College Wage Premium and the Expansion of Higher Education in the UK*

This paper reports estimates of the UK “college premium” for young graduates across successive cohorts from large cross‐section datasets for the UK pooled from 1994 to 2006—a period when the higher education participation rate increased dramatically. The growth in relative labour demand suggests that graduate supply considerably outstripped demand which ought to imply a fall in the premium. We find no significant fall for men and even a large, but insignificant, rise for women. Quantile regression results reveal a fall in the premium only for men in the bottom quartile of the distribution of unobserved skills.     

Shang inquiry as an alternative to Delphi: Some experimental findings

A new group judgment method known as Shang is presented as an alternative to Delphi. Shang is structured to avoid Delphi problems associated with convergence pressures and response commitment while incorporating Delphi advantages. The new method is evaluated through an experiment comparing it with a control method and two Delphi techniques, one using point estimates and one using distributional estimates. Findings indicate that Shang is generally superior to Delphi in producing accurate numerical estimates from the judgments of a group of experts.     

Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment

Different approaches to modelling the distribution of WTP are compared using stated preference data on Tanzanian Clinical Officers’ job choices and mixed logit models. The standard approach of specifying the distributions of the coefficients and deriving WTP as the ratio of two coefficients (estimation in preference space) is compared to specifying the distributions for WTP directly at the estimation stage (estimation in WTP space). The models in preference space fit the data better than the corresponding models in WTP space although the difference between the best fitting models in the two estimation regimes is minimal. Moreover, the willingness to pay estimates derived from the preference space models turn out to be very high for many of the job attributes. The results suggest that sensitivity testing using a variety of model specifications, including estimation in WTP space, is recommended when using mixed logit models to estimate willingness to pay distributions.     

The Japanese Taylor rule estimated using censored quantile regressions

This paper conducts quantile regressions and obtains detailed estimates of monetary policy rules in Japan using a sample that includes recent periods of zero interest rates. Taking into account censoring and endogeneity, we compute censored quantile instrumental variable estimators and compare them with estimates from uncensored quantile regressions. The estimation results indicate that not accounting for censoring of interest rates tends to result in downwardly biased estimates. Moreover, our censored quantile regressions lead to relatively flat coefficients of inflation and insignificant coefficients of the output gap over the conditional interest rate distribution, suggesting that monetary policy in Japan may be well described by a linear rule.     

Unanticipated monetary growth,output and the price level: U.K. 1946–1977

This paper develops and estimates using annual data from 1946–1977 a three-equation model of the U.K. economy, in which output is affected only by unanticipated monetary growth whereas the price level is influenced by both anticipated and unanticipated changes in money supply. Expectations of monetary growth are assumed to be Muth-rational. The model was estimated using efficient procedures, and tests of the over-identifying restrictions were generally favourable to model specification. Some features of the price equation are unsatisfactory and the results in this section must be considered tentative.     

INCOME DISTRIBUTION STATISTICS IN LATIN AMERICA AND THEIR RELIABILITY

This paper is addressed to the question of how far income distribution statistics currently available in Latin America can be relied upon, either to assess the degree of inequality in the national distribution of income or to undertake comparisons between countries or over time. It gives a summary account of research carried out on Latin American data.
The sources available in Latin America for estimating income distributions are discussed. Concentrating the attention on household surveys conducted in various Latin American countries, an inventory of such surveys and their characteristics is offered, along with a detailed exposition of survey methods and income concepts used for estimating household income. Methods used for assessing the representativeness of samples are summarily reviewed. The case for comparing income data from household surveys and population censuses with national accounts estimates is put forward, along with the procedures and assumptions used for carrying out such comparisons. The relative discrepancy between the two sources is taken as indicative of the degree of underestimation of each type of income in each survey. An analysis of such discrepancies across the set of surveys considered gives clues on possible underestimation biases in measuring each type of income and total household income in different types of survey and in population censuses.
Differential effects on comparability of survey results call for appropriate methods of adjusting income distribution estimates to account for the missing incomes. A method for carrying out such an adjustment is applied to income distributions from a selected number of Latin American surveys. The results obtained provide an indication of how much difference it makes to use unadjusted or adjusted data to assess income concentration or to carry out comparisons over time or space.     

基于GARCH模型的证券投资基金VaR计算与实证研究

基于统计技术的度量金融市场风险值(Value at Risk,VaR)已成为测量市场风险的新标准和新方法。鉴此,如何高效、准确地进行VaR的计算将是问题所在。基于GARCH模型,讨论了对数收益率时间序列在正态、学生t和广义误差(GED)三种不同分布下的VaR计算方法,对样本基金的市场风险进行估计,并通过返回检验来检验模型的准确性。研究结果表明,基于GED分布的GARCH模型计算的VaR值最能真实地反映基金风险。     

Limit Theorems for Estimating the Parameters of Differentiated Product Demand Systems

We provide an asymptotic distribution theory for a class of generalized method of moments estimators that arise in the study of differentiated product markets when the number of observations is associated with the number of products within a given market. We allow for three sources of error: sampling error in estimating market shares, simulation error in approximating the shares predicted by the model, and the underlying model error. It is shown that the estimators are CAN provided the size of the consumer sample and the number of simulation draws grow at a large enough rate relative to the number of products. We consider the implications of the results for the Berry, Levinsohn and Pakes (1995) random coefficient logit model and the pure characteristics model analysed in Berry and Pakes (2002) . The required rates differ for these two frequently used demand models. A small Monte Carlo study shows that the differences in asymptotic properties of the two models are reflected, in quite a striking way, in the models' small sample properties. Moreover the limit distributions provide a good approximation to the actual Monte Carlo distribution of the parameter estimates. The results have important implications for the computational burden of the two models.     

Correcting for the Missing Rich: An Application to Wealth Survey Data

It is a well‐known criticism that if the distribution of wealth is highly concentrated, survey data are hardly reliable when it comes to analyzing the richest parts of society. This paper addresses this criticism by providing a general rationale of the underlying methodological problem as well as by proposing a specific methodological approach tailored to correcting the arising bias. We illustrate the latter approach by using Austrian data from the Household Finance and Consumption Survey. Specifically, we identify suitable parameter combinations by using a series of maximum‐likelihood estimates and appropriate goodness‐of‐fit tests to avoid arbitrariness with respect to the fitting of the Pareto distribution. Our results suggest that the alleged non‐observation bias is considerable, accounting for about one quarter of total net wealth in the case of Austria. The method developed in this paper can easily be applied to other countries where survey data on wealth are available.     

The fiscal impact of high-skilled emigration: Flows of Indians to the U.S.

What are the fiscal consequences of high-skilled emigration for source countries? This paper develops methodologies for inferring these consequences and applies them to the recent sizable emigration of high-skilled workers from India to the U.S. This wave of emigration from India to the U.S. is shown to be unusually concentrated amongst the prime-age work force, the highly educated and high earners. In order to calculate the fiscal losses associated with these emigrants, estimates of their counterfactual earnings distributions are generated using two distinct methods and integrated with a model of the Indian fiscal system to calculate fiscal consequences. Conservative estimates indicate that the annual net fiscal impact to India of high-skilled emigration to the U.S. is one-half of 1% of gross national income (or 2.5% of total fiscal revenues). The sensitivity of these results to the method of predicting counterfactual incomes and the implications of these estimates for other developing countries is discussed in detail.     

Material Offshoring: Alternate Measures

Industry measures of offshoring of material inputs are often generated using the proportionality assumption applied to aggregate import data—that the import share of each commodity used in the production process for a particular industry is similar to the import share of a commodity for the total economy. This note compares estimates of offshoring for the Canadian manufacturing sector derived using this assumption to four alternatives: two measures that use direct measures of firm‐based imports, and two hybrid measures that use both input and import information. These indirect measures are compared to survey estimates that directly assess import intensity in the production process in an effort to evaluate which indirect method yields more reasonable offshoring measures.     

Modelling the National Greenhouse and Energy Reporting System's Energy Consumption Under‐Coverage

The new data source for the Australian Energy Statistics, the National Greenhouse and Energy Reporting System, does not require businesses using less than 200 terajoules to report their energy consumption. This results in a data gap in the total industry energy consumption. To estimate the gap, this study models business energy consumption using data from the Australian Bureau of Statistics' 2008–09 Energy, Water and Environment Survey and data from the 2008 to 2009 business activity statement unit record estimates. The article discusses the modelling approaches and methodological issues associated with the estimation of the National Greenhouse and Energy Reporting System's energy consumption under‐coverage. It provides estimation results and suggestions for future research, based on available data.

     

Climate Response Uncertainty and the Benefits of Greenhouse Gas Emissions Reductions

Some recent research suggests that uncertainty about the response of the climate system to atmospheric greenhouse gas concentrations can have a disproportionately large influence on benefits estimates for climate change policies, potentially even dominating the effect of the discount rate. In this paper we conduct a series of numerical simulation experiments to investigate the quantitative significance of climate response uncertainty for economic assessments of climate change. First we characterize climate uncertainty by constructing two probability density functions—a Bayesian model-averaged and a Bayesian updated version—based on a combination of uncertainty ranges for climate sensitivity reported in the scientific literature. Next we estimate the willingness to pay of a representative agent for a range of emissions reduction policies using two simplified economic models. Our results illustrate the potential for large risk premiums in benefits estimates as suggested by the recent theoretical work on climate response uncertainty, and they show that the size and even the sign of the risk premium may depend crucially on how the posterior distribution describing the overall climate sensitivity uncertainty is constructed and on the specific shape of the damage function.     

A non-separable generalisation of the linear expenditure system allowing non-linear Engel curves

This paper proposes and estimates a new generalisation of the LES that allows for both non-linear Engel curves and non-separable preferences. The empirical results decisively reject linear Engel curves on pooled cross section data and separable preferences on pure time series data.     

Estimating the private benefits of vaccination against cholera in Beira, Mozambique: A travel cost approach

This paper reports the results of the first study that estimates households' private demand for cholera vaccines using the travel cost method. We take advantage of an unusual natural experiment. In January 2004, more than 41,000 residents from various locations in Beira, Mozambique received two doses of oral cholera vaccine free of charge during the first vaccination trial to test its effectiveness in an endemic cholera zone of Africa. About 30,000 people participated from outside the target zone, resulting in long queues and an average waiting time of about 85 min per dose.We estimated travel cost models of the revealed demand for cholera vaccines among households informed of the trial using information collected in in-person interviews conducted during the summer of 2005. To explore households' participation in the trial, we used standard and zero-inflated household count models for all household members and dichotomous choice models for the head of the household. Our analysis shows that the quantity of vaccines obtained by households and the likelihood of participation decreased as travel cost—in time and transport expenses—rose. Our best estimates of per capita willingness to pay for the two required doses of cholera vaccine are about 0.85 USD. These estimates are sensitive to the assumed value of time spent acquiring vaccines.     

FAMILY INCOME,AGE, AND SIZE OF UNIT: SELECTED INTERNATIONAL COMPARISONS*

Two aspects of the relationship between family unit income and the age of the head of the family unit are examined in this exploratory paper. First, in connection with the recent discussion in the U.S. about the “fair” level of income of the aged population, the economic well-being of various age of head groups is examined for the U.S., Canada, Norway, and Israel. Problems inherent in comparing income distributions across countries are described briefly, and the sensitivity of the estimates to definitional differences is discussed. Relative incomes of the different age groups are then compared within and between countries. Relative mean incomes, relative median incomes, relative mean incomes adjusted for size of unit in alternative ways, distributions of age groups among income quintiles, and relative income shares within age groups are compared. The focus is on aged units. It is found that, using these crude measures, aged units in the U.S. are roughly as well off relative to the other age groups as aged groups in the other countries examined. In the second section of the paper, a U.S. microdata file is reweighted to be consistent with the distributions by age of head of Norway and Canada. Relative income shares of quintiles are computed before and after reweighting and compared with the shares for Norway and Canada. The reweighting to Norway's age distribution increased differences in relative income shares between the two countries; the reweighting to Canada's age distribution slightly decreased differences.