Using long-run consumption-return correlations to test asset pricing models

This paper examines a new set of implications for existing asset pricing models regarding the correlation between returns and consumption growth over both the short run and the long run. The findings suggest that external habit formation models face a challenge in producing two robust facts in aggregate data, namely, that stock market returns lead consumption growth, and that the correlation between returns and consumption growth is higher at low frequencies. To reconcile these facts with a consumption-based model, I demonstrate the need for focusing on models that contain a forward-looking consumption component, i.e., models that allow for both trend and cyclical fluctuations in consumption, and that link returns to cyclical fluctuations in consumption. Long-run risk models provide examples of models that contain this consumption component.     

Non-neutral responses to money supply shocks when consumption and leisure are Pareto substitutes

Summary. To a greater extent than is often stressed in existing literature, preference assumptions affect responses to money shocks in equilibrium monetary models. Temporary money shocks can have persistent real effects if the marginal utility of leisure is a decreasing function of consumption, where leisure is measured as time endowment less market labor effort, and consumption refers to market produced goods. This condition is an empirically supported implication of home production models. Though not theoretically necessary for supporting the existence of short run real effects, the presence of distortionary taxes and endogenous productivity can have significant quantitative effects on responses to temporary money supply shocks. Received: August 21, 1996; revised version: February 3, 1997     

Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions

In this paper, a non-parametric approach based in Data Envelopment Analysis (DEA) is proposed as an alternative to the Kaya identity (a.k.a ImPACT). This Frontier Method identifies and extends existing best practices. Population and GDP are considered as input and output, respectively. Both primary energy consumption and Greenhouse Gas (GHG) emissions are considered as undesirable outputs. Several Linear Programming models are formulated with different aims, namely: a) determine efficiency levels, b) estimate maximum GDP compatible with given levels of population, energy intensity and carbonization intensity, and c) estimate the minimum level of GHG emissions compatible with given levels of population, GDP, energy intensity or carbonization index. The United States of America case is used as illustration of the proposed approach.     

Latent Consideration Sets and Continuous Demand Systems

This paper develops a theoretically consistent continuous demand system model that incorporates latent, probabilistic consideration sets. In contrast to existing discrete choice consideration models, the proposed model is econometrically tractable with consumption data for many goods. The model’s empirical properties are illustrated with an 89-site recreation data set from the 1994 National Survey of Recreation and the Environment (NSRE). Parameter and welfare estimates suggest that the latent consideration set models fit the data better and may imply a bias-variance tradeoff relative to traditional models.      

Disaggregated approach to government spending shocks: a theoretical analysis

We calibrate a dynamic stochastic general equilibrium model that features a transmission mechanism with different types of government spending, while the literature usually treats government spending as a homogenous compound. In this regard, we manage to distinguish between different types of government spending (namely: government investment, government wage component consumption and non-wage component consumption) where each type of spending has a varied role in the economy. The government wage increase has the largest positive effect both on private consumption and output by affecting the economy through the government production. This is a natural consequence of government production being complementary to private consumption in our model. Other two government spending types, namely government non-wage consumption and government investment, also have positive effects on output, whereas their responses on (private) consumption are mostly negative. These results provide an alternative explanation for the wide range of multipliers existing in the literature as our setup enables them to produce different effects on macroeconomic variables.     

Variety‐Controlling Public Policy Under Addiction and Saturation

This paper constructs a tractable general equilibrium model for investigating the dissimilar effects of addiction and saturation on consumption and public policy. By introducing an industry‐specific intertemporal consumption externality, we provide clear analytical results that a lump‐sum subsidy for firms can increase welfare in the presence of a negative externality (saturation). A tax can accomplish the same given a positive externality (addiction). Unlike existing studies of cultural goods, these results are not based on assumptions concerning exogenous different preferences across groups, but rather on conventional monopolistic competition and consumption habit formation models in macroeconomics.     

Efficiency in one-sector,discrete-time,infinite-horizon models

In recent years, a considerable number of papers have been devoted to the problem of characterizing efficient programs in infinite-horizon models. In the present paper on one-sector models, it is shown that (1) the study of production or consumption efficiency can be reduced to the study of a single model, and (2) certain measures of curvature are crucial for the efficiency of programs. Criteria for efficiency of programs using these curvature measures are given and it is indicated how the existing results in the field can be obtained using the present criteria.     

Instability in cointegration regressions: a brief review with an application to money demand in Portugal

This study addresses some modelling questions related to the possibility of structural change in models with nonstationary variables. Focusing on cointegration issues, some methodological aspects are discussed, attempting to integrate coherently the several steps of the modelling strategy. These range from unit root to cointegration testing and to testing for instability in the cointegration vector. An empirical example with Portuguese data tries to illustrate the usefulness of this approach, where a simple money demand function is estimated using an error-correction model (ECM). If a break is explicitly allowed in the cointegration vector the forecasting performance of the ECM improves.     

Rational expectations and M2 demand

This essay expands on existing studies of M2 money demand. It differs in that it applies a rational expectations approach to an adaptive expectation model. Unlike the adaptive expectations models, the author includes an explanatory variable for expectations of future inflation. The expectation variables used are: the actual inflation rate (t + 1) and the Livingston Survey from the Philadelphia Fed. By using the different measures of expectations the author is able to compare several adaptive expectations models that appear in the literature and the rational expectations models for fit and forecast ability. The empirical results are such that the importance of including the rational expectations variable is evident even though the overall fit of the equation is comparable to one of the existing adaptive expectations models.     

Regional consumption dynamics and risk sharing in Italy

In this paper, we propose a new method for investigating consumption insurance. Differently from the existing literature, we use error correcting VAR models in order to capture simultaneously the occurrence of risk sharing against permanent and transitory shocks. The proposed method is applied to the case of Italian regions. Empirical results obtained over the 1960–2001 period reveal that contrary to previous findings, Italian regions seem to shield against permanent shocks other than transitory ones. Although some biases are detected in the allocation process of resources, deviations from full consumption insurance are not as relevant as claimed in the previous literature on the Italian regions.     

An empirical study of outbound tourism demand in the UK

A general to specific methodology is used to construct UK demand for outbound tourism models to twelve destinations. A tourism destination preference index is introduced to take into account social, cultural and psychological influences on tourists' decisions concerning their overseas holiday destinations. The tests support the existence of a cointegration relationship for each of 11 UK overseas holiday destinations. The corresponding error correction models are estimated. The empirical results show that the long-run income elasticities for all destinations range from 1.70 to 3.90 with an average of 2.367. The lowest and highest short-run income elasticities are 1.05 and 3.78 respectively, with an average of 2.216. The estimates of the income elasticities imply that overseas holidays are highly income elastic while the own-price elasticities suggest that the demand for UK outbound tourism is relatively own-price inelastic. In terms of the significance of substitution prices in the regression equations, Ireland is the favourite substitute destination for UK outbound tourists. Ex post forecasts over a period of six years are generated from the ECM models and the results compared with those of a naive model, an AR(1) model, an ARMA(p,q) model, and a VAR model. The forecasting performance criteria show that the ECM model has the best overall forecasting performance for UK outbound tourism.     

Indeterminacy with no-income-effect preferences and sector-specific externalities

We examine a two-sector real business cycle (RBC) model with sector-specific externalities in which household utility exhibits no income effect on the demand for leisure. Unlike in the one-sector counterpart, indeterminacy can result with sufficiently high returns-to-scale in the investment sector. Moreover, the smaller the labor supply elasticity, the lower the level of externalities needed for indeterminacy. This finding is the opposite of that in all existing RBC-based indeterminacy studies. Finally, in contrast to previous sunspot-driven two-sector RBC models, our economy is able to match the stylized facts that sectoral labor inputs are positively correlated and consumption is procyclical.     

Purchasing power parity as an approximation to the equilibrium exchange ratio

Purchasing power parity (PPP) is re-examined in models with trade impediments and intermediate products that are not traded. A distinction is made between ‘local consumption PPP’ and ‘total consumption PPP’. These are tested on several data sets, with largely negative results.     

Performance of periodic time series models in forecasting

The paper provides a comparison of alternative univariate time series models that are advocated for the analysis of seasonal data. Consumption and income series from (West-) Germany, United Kingdom, Japan and Sweden are investigated. The performance of competing models in forecasting is used to assess the adequacy of a specific model. To account for nonstationarity first and annual differences of the series are investigated. In addition, time series models assuming periodic integration are evaluated. To describe the stationary dynamics (standard) time invariant parametrizations are compared with periodic time series models conditioning the data generating process on the season. Periodic models improve the in-sample fit considerably but in most cases under study this model class involves a loss in ex-ante forecasting relative to nonperiodic models. Inference on unit-roots indicates that the nonstationary characteristics of consumption and income data may differ. For German and Swedish data forecasting exercises yield a unique recommendation of unit roots in consumption and income data which is an important (initial) result for multivariate analysis. Time series models assuming periodic integration are parsimonious to specify but often involve correlated one-step-ahead forecast errors. First version received: April 1996/final version received: January 1998     

中国能源消费与经济发展的动态关系研究

运用协整理论,研究了1953--2006年中国能源消费与实际GDP之间的关系。结果表明：中国能源消费和实际GDP之间存在协整关系。建立了能源消费与实际GDP之间的误差修正模型,并通过基于误差修正模型的格兰杰因果关系检验分析了中国能源消费和实际GDP之间的因果关系。结果表明：存在能源消费到实际GDP的短期格兰杰因果关系,存在实际GDP到能源消费的长期格兰杰因果关系。采用HP滤波技术分离出能源消费和实际GDP的趋势成分和周期成分,对能源消费和实际GDP的趋势成分、周期成分之间的关系进行分析。结果表明,能源消费和实际GDP的趋势成分之间存在共同趋势,能源消费和实际GDP的波动成分具有相同的波动特征。最后得出结论：中国能源消费与实际GDP之间的协整关系与经济增长和能源消费的共同波动有关。     

Unit Root Analyses of the Causality Between Japanese Money and Income

Unit root techniques and cointegration analysis have develop ed considerably in the last ten years. At the same time, the nonstationary test for Granger causality has been developed. We shed some new light on Japanese money supply and income causality by using nonstationary techniques. We specify univariate ARMA models of money, income, GNP deflator and rate of interest, initially by using the Dickey and Fuller (DF) or the augmented DF (ADF) tests. Two diagnostic tests are applied to each selected ARMA regression. One is the residual DF test, and the other is the moving average (MA) unit root test of residuals . After selecting the ARMA model, some causality tests are applied to the error correction model (ECM) of a vector autoregression (VAR) one of which is ordinary least squares (OLS) and another is the maximum likelihood (ML) method. The former requires only the standard F -test on the deleted variables in the ECM. The latter requires the Johansen's ML method in estimating cointegration. Causality is found to go from income to money supply but not the other way. Appendices include a simple implementation of the MA unit root test, a pedagogical proof of the Granger causality tests developed by Toda and Phillips (1993) and an interpretation of the test proposed by Toda and Yamamoto (1995).
JEL Classification Numbers: C32, E50     

Testing the unit root hypothesis against TAR nonlinearity using STAR-based tests

This paper investigates the finite-sample power of STAR-based unit root tests when the data generation process is a globally stationary three-regime TAR model. Unit root tests are proposed derived from STAR models that nest TAR models.     

Generalized habit formation in an Inverse Almost Ideal Demand System: An application to meat expenditures in the U.S.

The Inverse Almost Ideal Demand System (IAIDS) model of Moschini and Vissa (1992) and Eales and Unnevehr (1994) is extended to include: (1) general, nonlinear, nonadditive habit effects; and (2) a specification for habit stock terms that allows purchases from the distant past to influence current consumption (long memory). The resulting models are compared with a linear habit effects model and a static specification. The empirical estimation is on U.S. quarterly meat expenditures (1961–1993), with each model being subjected to a battery of misspecification tests. Results of these tests, along with tests of homogeneity and symmetry restrictions, indicate clearly that the most generalized dynamic specification-the one with nonlinear, nonadditive long-memory habit stock effects-is preferred. Furthermore, persistence effects are found to be qualitatively important in that flexibility, consumption scale, and habit flexibility estimates differ, in some instances substantially, between alternative specifications.     

Microeconometric models of infrequently purchased goods: An application to household pork consumption

The double-hurdle and infrequency-of-purchase models are generalized with the inverse hyperbolic sine transformation in the dependent variable. The resulting specifications feature more flexible parameterization and error distributions than the untransformed models. Using the 1987–88 Nationwide Food Consumption Survey data on household pork consumption, a nonnested test suggests that the IHS double-hurdle model provides better characterization of the data-generating process than the IHS infrequency-of-purchase model but the elasticities derived from these models are similar. Own-price effects on the probability and level of consumption are negative and significant, but the elasticities are small. Income and cross-price effects are not significant. Household age composition, education, gender of meal planner, and race are among the demographic variables that affect consumption.     

安徽省能源消耗与经济增长的关联性研究

本文将能源消耗作为经济增长的影响因子引入Cobb-Douglas生产函数,采用1978—2008年安徽省的时间序列数据,通过建立VAR模型和误差修正模型,运用JJ协整检验和Granger因果关系检验,证明了安徽省能源消耗与经济增长间存在长期均衡关系和单向因果关系,并估计出能源消费、就业人数和固定资本存量对安徽省经济增长的贡献率。结果显示,能源消耗对安徽省经济的影响较为显著。此外,利用脉冲响应和方差分解方法分析得出,保持能源消耗、固定资本存量与就业人数的协调增长对于安徽省经济增长有积极意义。