A medium-N approach to macroeconomic forecasting

This paper considers methods for forecasting macroeconomic time series in a framework where the number of predictors, N, is too large to apply traditional regression models but not sufficiently large to resort to statistical inference based on double asymptotics. Our interest is motivated by a body of empirical research suggesting that popular data-rich prediction methods perform best when N ranges from 20 to 40. In order to accomplish our goal, we resort to partial least squares and principal component regression to consistently estimate a stable dynamic regression model with many predictors as only the number of observations, T, diverges. We show both by simulations and empirical applications that the considered methods, especially partial least squares, compare well to models that are widely used in macroeconomic forecasting.     

On Liu estimators for the logit regression model

This paper introduces a shrinkage estimator for the logit model which is a generalization of the estimator proposed by Liu (1993) for the linear regression. This new estimation method is suggested since the mean squared error (MSE) of the commonly used maximum likelihood (ML) method becomes inflated when the explanatory variables of the regression model are highly correlated. Using MSE, the optimal value of the shrinkage parameter is derived and some methods of estimating it are proposed. It is shown by means of Monte Carlo simulations that the estimated MSE and mean absolute error (MAE) are lower for the proposed Liu estimator than those of the ML in the presence of multicollinearity. Finally the benefit of the Lie estimator is shown in an empirical application where different economic factors are used to explain the probability that municipalities have net increase of inhabitants.     

Context-Sensitive Benefit Transfer Using Stated Choice Models: Specification and Convergent Validity for Policy Analysis

Benefit transfer has been an important, practical policy tool appealing to government agencies, especially when time or budget is constrained. However, the literature fails to support convergent validity of benefit transfer using the stated-preference method. This empirical study conducts four convergent validity assessments of benefit transfer using the choice modeling method and data from Rhode Island and Massachusetts, regarding coastal land management. The comparisons evaluate how individual characteristics improve benefit transfer and yield insights relevant to research specifications to produce studies adaptable for transfer applications. Empirical tests show benefit transfer using choice modeling may be acceptable, and even empirically valid, depending on the policy objectives and the context.     

Are government transfers harmful to economic growth? A meta-analysis

A common perception is that government transfers are harmful to economic growth. However, existing empirical evidence on this point is mixed. Potential reasons for these conflicting results include differences in the level of economic development of the countries studied, different estimation methods and different measures of government transfers. By conducting a meta-analysis of 149 estimates reported in 23 studies, we sought to understand if – and if so, to what extent – government transfers are harmful to economic growth, as well as how important the abovementioned reasons are in explaining different findings in the literature. We found that government transfers are more detrimental to economic growth in developed countries compared to less-developed countries because such transfers can have a non-monotonic effect on growth. When government transfers are substantial, as they are in developed countries, they tend to reduce growth. We also found that the growth effects of government transfers are sensitive to the measurement of the transfers, i.e., studies that use unemployment benefits instead of social security tend to report a stronger negative growth effect.     

Motives for household private transfers in Burkina Faso

Resource transfers among households have received considerable interest among economists in recent years. Two of the main reasons for the surge of interest in household transfers are the information on human nature conveyed by transfer behavior and the implication on income redistribution policy that private transfer might have. Empirical studies, however, provide mixed results on transfer behavior. This is because previous inquiries were confronted with several estimation issues and have focused on data from developed countries where private transfers are already small. This paper contributes to the literature on transfer behavior by using a multifaceted econometric approach to examine the motives of household transfers in Burkina, a low-income country with a well-documented tradition of gift exchanges. The findings suggest that risk sharing is not central to transfers. Altruistic transfers are apparent for the middle income class, but not at low income level. The evidence implies that crowding out may be minimal at low income level, suggesting that public transfers targeting poor households may be effective.     

Employer pay policies, public transfers and the retirement decisions of men and women in Denmark

The empirical retirement literature measures individual responses to variations in income flows due to public transfers, private individual or employer-provided pensions. We estimate a model accounting for the incentive effects from these sources. A dynamic structural model is extended to allow both individual and employer heterogeneity. This is applied to a Danish matched panel of workers and establishments, spanning a period of reforms to a public early retirement programme. Employer-specific compensation is found to be an important determinant of work and retirement income flows. Employer effects on retirement age are only found among sub-samples where access to public transfers is limited.     

Rational Poverty or Poor Rationality? The Take‐up of Social Assistance Benefits

In several countries social assistance dependence has been increasing since the 1980s. After surveying the theoretical and empirical take-up literature, this study presents estimates of recent rates of non take-up of social assistance benefits. Once methodological shortcomings of prior estimations are corrected, the results show that take-up has fallen recently and thus cannot explain the rising welfare receipt. Following theoretical predictions, the probability that a rational individual takes up social assistance increases with the expected benefit amount and duration, and falls with application cost and stigma. More than half of all households eligible for transfers under the German social assistance program did not claim their benefits.     

我国上市公司财务困境的预测模型研究

本文以我国上市公司为研究对象 ,选取了 70家处于财务困境的公司和 70家财务正常的公司为样本 ,首先应用剖面分析和单变量判定分析 ,研究财务困境出现前 5年内各年这二类公司 2 1个财务指标的差异 ,最后选定 6个为预测指标 ,应用Fisher线性判定分析、多元线性回归分析和Logistic回归分析三种方法 ,分别建立三种预测财务困境的模型。研究结果表明 :(1 )在财务困境发生前 2年或 1年 ,有 1 6个财务指标的信息时效性较强 ,其中净资产报酬率的判别成功率较高 ;(2 )三种模型均能在财务困境发生前做出相对准确的预测 ,在财务困境发生前 4年的误判率在 2 8%以内 ;(3)相对同一信息集而言 ,Logistic预测模型的误判率最低 ,财务困境发生前 1年的误判率仅为 6 .47%     

Are Family Transfers Crowded Out by Public Transfers?

We give an account of an overlapping–generations experiment with multiple families in which voluntary transfers can take the form of support to the elderly or grants to children. Support to the old is a purely intergenerational (intra–family) transfer, whereas grants to children also involve an element of intra–generational (inter–family) redistribution through a compulsory pension system. Our data show that higher compulsory inter–family transfers lead subjects to place relatively more emphasis on support instead of grants: grants are crowded out, but support is not significantly affected. The efficiency of voluntary transfers increases, however. Furthermore, if subjects give transfers, they do not use tokens of direct reciprocity; evidence of indirect reciprocity in transfer behavior can only be obtained for the case where compulsory transfers are high.
JEL classification : C 91; H 55     

The impact of R&D programme success on the decision to capitalise development expenditures in European firms

The financial reporting treatment of R&D expenditures can have important implications for firms’ strategic investment in R&D. Yet, financial reporting issues have been largely neglected in the R&D management literature. In this study, we first hypothesise that firms’ capitalisation of development expenditures subsequent to the mandatory adoption of IAS 38 (International Accounting Standard 38: Intangible Assets) is positively and significantly impacted by a measure of R&D programme success. Our empirical findings – based on a pan-European sample of firms – reveal strong support for this prediction. Our findings also offer support for our second hypothesis which predicts that capitalisation of development expenditures in conjunction with an evaluation of R&D programme success has a positive and significant impact on growth in shareholder value. Consequently, our work suggests that an important challenge for R&D professionals within firms is to develop improved measures of R&D success and to communicate this information to senior executives.     

The Use (and Abuse) of Meta-Analysis in Environmental and Natural Resource Economics: An Assessment

Motivated by the 2006 report of a Work Group appointed by the Environmental Protection Agency (EPA), this paper examines the present state of meta-analysis in environmental economics and offers recommendations for its future use. To this end we summarize and assess 140 meta-analyses from 125 published and unpublished studies, covering 17 topical categories in environmental and resource economics. First, we provide several generic meta-analysis models as reference points and discuss major estimation issues. Five econometric issues are identified as part of a complete analysis: (1) sample selection criteria; (2) basic data summary; (3) primary data heterogeneity; (4) heteroskedasticity; and (5) non-independence of multiple observations from primary studies. Second, a tabular summary is presented for the 140 meta-analyses with respect to estimation methods. Third, a narrative summary is presented for 19 meta-analyses, including the three value-of-statistical-life studies examined by the EPA Work Group and one analysis from each of 16 other categories. Fourth, we offer a set of “best practice” guidelines for future meta-analyses in this and other areas of economics. Last, the paper comments on the use of meta-analytic methods for benefit transfers of environmental values.      

Cross-Border Shopping: A Survey

The aim of this paper is to undertake a review of the most important literature on the phenomenon of fiscally induced cross-border shopping. Following the presentation of the principal theoretical models, the study concentrates on applied literature. Firstly, the elements common to the diverse applications are described, and then, a detailed analysis of the research undertaken into cross-border shopping for alcoholic drinks, tobacco, fuel, and lotteries is provided, concluding with a reference to the interaction between cross-border purchases and those effected over the internet. The results achieved by the empirical research coincide and support the principal result of the theoretical literature: the tax differentials between neighboring territories induce consumers to purchase in the territory where taxation is lower, on the condition that the tax saving compensates for the transport costs associated with the travel made by the purchaser in order to take advantage of the lower taxation.     

How widespread are nonlinear crowding out effects? The response of private transfers to income in four developing countries

This article investigates the relationship between household income and private transfers received in developing countries. If private transfers are unresponsive to household income, there is less likelihood of expansions in public social security crowding out private transfers. Most literature finds that private transfers are unresponsive, but this may be because responses have been obscured by the methods that ignore nonlinearities. Threshold regression techniques find such nonlinearity in the Philippines and scope for serious crowding out, with 30–80% of private transfers potentially displaced for low-income households (Cox et al., 2004). To see if these nonlinear effects occur more widely, semiparametric and threshold regression methods are used to model private transfers in four developing countries – China, Indonesia, Papua New Guinea and Vietnam. The results reported in this article suggest that nonlinear crowding out effects are not important features of transfer behaviour in these countries. The transfer derivatives under a variety of assumptions only range between 0 and ?0.08.     

THE ECONOMIC WELFARE OF THE AGED AND INCOME SECURITY PROGRAMS*

This paper examines several nonmoney components of economic welfare in both a theoretical and an empirical framework, computes the distributional ranking of aged families arising from such a measure, and subsequently examines the target effectiveness of eleven programs of the U.S. federal government aimed at the aged. While the theoretical discussion attempts to cover all factors contributing to the economic welfare of the aged, the empirical measure is somewhat less comprehensive, excluding the value of nonmarket productive activities and leisure time as well as benefits derived from direct government expenditures and some in-kind transfers and taxes. The study makes use of a subsample of the 1967 Survey of Economic Opportunity data composed of all families with at least one aged member. Specific attention is devoted to dissaving from net worth, in-kind transfers, incidence of taxes, and intrafamily transfers. Government cash and in-kind transfers are found to constitute a third of the total measured economic welfare of the aged, and the impact of each of these programs is examined individually. As might be expected, public assistance and public housing are the programs of most benefit to the aged poor. Medicaid and Medicare are substantially less so, and Social Security is distributionally neutral. Such programs as unemployment insurance are of little benefit to the aged. Tax expenditures, finally, provide no benefits to even the lower half of the distribution.     

Meta-Modeling and Benefit Transfer: The Empirical Relevance of Source-Consistency in Welfare Measures

A common assumption within the meta-analysis and benefit transfer literature is that the validity of benefit predictions depends on the utility-theoretic consistency of welfare measures in underlying source studies. However, to date there exists little evidence as to the empirical relevance of this proposition in terms of the accuracy or efficiency of predicted benefits. Using Bayesian Model Search techniques we examine whether different portions of metadata, distinguished by underlying welfare construct, share common willingness-to-pay distributions. Applying our algorithm to two separate meta-datasets we find strong evidence of information sharing across welfare categories for a large subset of contexts. For cases where information sharing is indicated, substantial efficiency gains in predicted benefits can be achieved by pooling the underlying data.     

Migrants’ international transfers and educational expenditure

The primary objective of this article is to cast some light upon the relationship between education expenditure and the volume of remittances sent to Albania from abroad by international migrants. To assess the existence of an education enhancing effect of remittances, an Engel curve framework is used. In addition, quintile regression analysis is employed to investigate whether migrants’ remittances have a differentiated effect on various quantiles of the conditional distribution of education consumption. The two main empirical findings are that household income has a positive and well‐determined impact on education expenditure, whereas international transfers do not influence education spending.     

A note on Johansen's cointegration procedure when trends are present

This note discusses some issues that arise when Johansen's (1991) framework is used to analyze cointegrating relationships among variables with deterministic linear time trends. We cistinguish “stochastic” and “deterministic” cointegration, arguing that stochastic cointegration is sufficient for the existence of an error correction representation and that it is often the hypothesis of interest in empirical applications. We show that Johansen's (1991) method, which includes only a constant term in the estimated regession system, does not allow for stochastic cointegration. We propose to modify Johansen's method by including a vector of deterministic linear trends in the estimated model. We present tabulated critical values of the maximal eigenvalue and trace statistics appropriate for this case. We discuss the circumstances under which our modification may be useful.     

Household investment decisions and offspring gender: parental accounting

Numerous behavioural factors have been identified as having an impact on household stockholding decisions. Given there is both theoretical and empirical evidence to support the premise that offspring gender can influence specific types of parental preferences, I test the theory that offspring gender has an effect on parental investment decision-making. I find that offspring gender does influence household stock market participation. Specifically, I find that having only female offspring can significantly increase the probability of stockholding. Given stockholding can have large effects on household wealth levels and that family wealth levels affect intergenerational transfers, this finding could have important implications for understanding distributional welfare issues.