Estimating Excess Sensitivity and Habit Persistence in Consumption Using Greenbook Forecasts

In this paper, we revisit the issue of excess sensitivity of consumption to income and address the weak instrument problem that is well documented in this literature. Using quarterly data for the US economy, we first highlight the weak instrument problem by showing that the use of conventional instruments tends to overestimate the share of rule-of-thumb consumers. To address this weak instrument problem, we propose a new instrument for endogenous disposable income growth in the consumption function, namely, the Greenbook forecast of real disposable income growth. We show that this instrument encompasses the information contained in the conventional set of instruments, and is a superior predictor of income growth. We find that using our proposed instrument ameliorates the weak instrument problem and provides a much smaller estimate for the rule-of-thumb consumers. We also extend our empirical framework to allow for habit persistence and provide an estimate for this important parameter of the consumption function. Finally, we use a time-varying specification of consumption function that allows for endogenous regressors, and document a decline in the share of rule-of-thumb consumers and a rise in the habit-persistence parameter in the US over our sample period.     

Separability and Aggregate Shocks in the Life-cycle Model of Consumption: Evidence from Spain

The purpose of this paper is to test the life-cycle permanent income hypothesis using an unbalanced panel from the Spanish family expenditure survey. Our model accounts for aggregate shocks and non-separability in the Euler equation among consumption goods, contrary to most of the literature in this area. Our results do not indicate excess sensitivity of consumption growth to income.     

Consumption and Aggregate Constraints: International Evidence*

This paper documents that region‐level consumption exhibits excess sensitivity to lagged region‐level income in Italy, Japan, Spain, the UK and West Germany. However, region‐specific consumption exhibits substantially less sensitivity to lagged region‐specific income. Moreover, excess sensitivity is inversely related to standard measures of openness and credit market integration and for most countries, it has decreased over time. These findings are consistent with the results reported by Ostergaard et al. [Journal of Political Economy (2002) Vol. 110, pp. 634–645] for US states and Canadian provinces, and provide empirical support for the hypothesis that closed‐economy constraints may partly be responsible for the excess sensitivity phenomenon in aggregate data.     

THE PREDICTABILITY OF AGGREGATE CONSUMPTION GROWTH IN OECD COUNTRIES: A PANEL DATA ANALYSIS

We examine aggregate consumption growth predictability. We derive a dynamic consumption equation which encompasses relevant predictability factors: habit formation, intertemporal substitution, current income consumption and non‐separabilities between private consumption and both hours worked and government consumption. We estimate this equation for a panel of 15 OECD countries over the period 1972–2007, taking into account parameter heterogeneity, endogeneity and error cross‐sectional dependence using a GMM version of the common correlated effects mean group estimator. Small‐sample properties are demonstrated using Monte Carlo simulations. The estimation results support income growth as the only variable with significant predictive power for aggregate consumption growth. Copyright © 2013 John Wiley & Sons, Ltd.     

How does the sensitivity of consumption to income vary over time? International evidence

This paper studies how the sensitivity of consumption to income has changed over time as the degree of financial integration has risen. In standard theory, greater financial integration facilitates international borrowing and lending, helping to reduce the sensitivity of consumption growth to fluctuations in income. We examine the empirical validity of this prediction using an array of indicators of financial integration for a large sample of advanced and developing countries over the period 1960–2011. We report two main results. First, the sensitivity of consumption to income has declined over time as the degree of financial integration has risen. The decline has been more pronounced in advanced economies than in developing ones. Second, our regression analysis indicates that a higher degree of financial integration is associated with a lower sensitivity of consumption to income. This finding is robust to the use of a wide range of empirical specifications, country-specific characteristics and other controls, such as interest rates and outcome-based measures of financial integration. We also discuss other potential sources of the temporal changes in the sensitivity of consumption to income.     

A Micro‐Decomposition Analysis of Aggregate Human Development Outcomes*

We show how differences in aggregate human development outcomes over time and space can be additively decomposed into a pure mean income (growth) component, a component attributed to differences in the distribution of income, and components attributed to ‘non‐income’ factors and differences in the model linking outcomes to income and non‐income characteristics. The income effect at the micro level is modelled non‐parametrically, so as to flexibly reflect potentially complex distributional changes. Our proposed method is illustrated using data for Morocco and Vietnam, and the results offer some surprising insights into the observed aggregate gains in schooling attainments.     

Incomplete information and the time series behaviour of consumption

Pischke ( 1995 ) uses both microeconomic and macroeconomic US data to test the idea that, within an otherwise standard PIH framework, ignorance by agents of aggregate labour income can account for the observed degree of excess smoothness and sensitivity in consumption. His tests involve only the second moments of aggregate consumption and labour income. In this paper our main aim is to identify and test the restrictions his model implies for aggregate consumption dynamics, using US quarterly data over the period 1959–1996, but our framework allows us also to test an earlier, related model of Goodfriend ( 1992 ). We find that both models can be formally rejected: ignorance of aggregate labour income cannot by itself account for aggregate consumption dynamics; some other relaxation of the assumptions of the standard PIH is required. We give an example of one possible such relaxation and present evidence indicating that Pischke's version of imperfect information may, within that framework, have a significant role to play. Copyright © 2000 John Wiley & Sons, Ltd.     

What went wrong with the Hungarian consumption function? An econometric investigation of the time series aggregate consumption function for Hungary for 1960–1989

The paper focuses on the time series aggregate consumption function for the Hungarian economy. The empirical econometric analysis presented produces several new results. First, it shows that the income and consumption variables used in this type of model by previous studies are I(2) variables. Consequently, error correction models formulated in terms of their first differences are mis-specified. Second, it provides a strong empirical evidence supporting the view that consumption (and thus saving) was (real) interest rate elastic during the period under investigation, having impact both on the long run and on the short relationships between income and consumption. Third, it provides empirical evidence on choosing the proper income variable in the consumption function. The model selection results clearly supports the model with unadjusted total real money income variable. Fourth, it shows that for the period 1960–1986 a correctly specified and stable error correction model can be established. Finally, the analysis shows that when used for the period beyond 1986, this model suffers from a structural break.     

The Role of Sustainability‐Related Strategies on the Biofuel Industry: Trends,Prospects and Challenges

The aim of this study is to elucidate the sustainability‐related strategies on the biofuel industry. Our empirical analysis is based on a time series data set covering diesel demand in Greece over the period 1978–2014 and on the basis of these estimates we make forecasts for biodiesel consumption in the coming years (2015–2030) under three alternative scenarios. Our approach utilizes unit root testing to investigate possible co‐integrated relationships among the sample variables. The empirical findings indicate that diesel demand is income and price inelastic in both the long and the short run, while biodiesel demand seems to have an upward trend over the simulated period. We argue that the importance of biofuel in the Greek energy balance will change the form of the existing business strategies towards issues such as sustainability, green entrepreneurship and corporate social responsibility to achieve the environmental goals set by the EU Energy Roadmap 2050. Copyright © 2018 John Wiley & Sons, Ltd and ERP Environment     

Testing the Empirical Relevance of the ‘Saving for a Rainy Day’ Hypothesis in US Metro Areas

The joint implication of the consumption Euler equation and cointegration between income and consumption is that savings predict future income declines, the ‘saving for a rainy day’ hypothesis. The empirical relevance of this hypothesis plays a key role in discussions of fiscal policy multipliers, and it holds under the null that the permanent income hypothesis is true. We find little support for this hypothesis using time series data for the 100 largest US Metropolitan Statistical Areas for the period 1980q1–2015q4. Our approach is to test for cointegration and weak exogeneity between income and consumption, and by exploring the direction of Granger causality between the two time series. We find that income more often predicts consumption and saving than the converse. We also give evidence that house price changes played a role in US income and consumption dynamics, before, during and after the Great Recession.     

What are the advantages of MCMC based inference in latent variable models?

Recent developments in Markov chain Monte Carlo [MCMC] methods have increased the popularity of Bayesian inference in many fields of research in economics, such as marketing research and financial econometrics. Gibbs sampling in combination with data augmentation allows inference in statistical/econometric models with many unobserved variables. The likelihood functions of these models may contain many integrals, which often makes a standard classical analysis difficult or even unfeasible. The advantage of the Bayesian approach using MCMC is that one only has to consider the likelihood function conditional on the unobserved variables. In many cases this implies that Bayesian parameter estimation is faster than classical maximum likelihood estimation. In this paper we illustrate the computational advantages of Bayesian estimation using MCMC in several popular latent variable models.     

What drives returns to euro area housing? Evidence from a dynamic dividend–discount model

We apply a dynamic dividend–discount model to analyse housing returns for eight euro area countries comprising over 90% of euro area GDP, both individually and as a panel. A vector autoregressive model (VAR) is estimated for four variables – excess return to housing, rents, the real interest rate and real disposable per capita income – using quarterly data over the period 1978–2009. This empirical investigation – which allows for a decomposition of house price movements into movements in rent (cash-flow) and expected return news components – indicates that the bulk of the variability of euro area house price movements can be attributed to movements in fundamentals. There remains nonetheless an important but less sizeable influence of market-wide (or expected-return) variations in house prices. Country-specific estimation indicates considerable heterogeneity around the euro area result, both for what concerns long-term impacts and dynamics. Notably, changes in expected returns play a relatively strong role in the house prices of Ireland and Spain.     

A time varying parameter approach to the Chinese aggregate consumption function

China experienced a number of economic, political and social upheavals in the pre-reform period, together with a gradual transformation from a centrally-planned to a market oriented economy in the post-reform period. Given this background of extensive change, a time varying parameter (TVP) consumption model for non-durables is developed in order to determine the resulting changes in consumer behaviour caused by both observable and unobservable factors. The parameters of interest are the short and long run marginal propensities to consume (MPC) and the long run average propensity to consume (APC). The model is based on Friedman's permanent income hypothesis (PIH) and estimated using the Kalman filter algorithm. The empirical results suggest that the TVP model is a good representation of the changes in Chinese consumer behaviour over time. In terms of forecasting, the TVP model generally outperforms a number of alternative models.     

Disaggregate Wealth and Aggregate Consumption: an Investigation of Empirical Relationships for the G7*

To date, studies of wealth effects on consumption have mainly used aggregate wealth definitions on a single‐country basis. This study seeks to break new ground by analysing disaggregated financial wealth in consumption functions for G7 countries. Contrary to earlier empirical work, we find that illiquid financial wealth (i.e. securities, pensions and mortgage debt) tends to be a more important long‐run determinant of consumption than liquid financial wealth. These results imply potential instability in consumption functions employing aggregate wealth. Our results are robust using SURE; when testing with a nested specification; and when using a linear model.     

Differences Between Classical and Bayesian Estimates for Mixed Logit Models: A Replication Study

The mixed logit model is widely used in applied econometrics. Researchers typically rely on the free choice between the classical and Bayesian estimation approach. However, empirical evidence of the similarity of their parameter estimates is sparse. The presumed similarity is mainly based on one empirical study that analyzes a single dataset (Huber J, Train KE. 2001. On the similarity of classical and Bayesian estimates of individual mean partworths. Marketing Letters 12 (3): 259–269). Our replication study offers a generalization of their results by comparing classical and Bayesian parameter estimates from six additional datasets and specifically for panel versus cross‐sectional data. In general, our results suggest that the two methods provide similar results, with less similarity for cross‐sectional data than for panel data. Copyright © 2016 John Wiley & Sons, Ltd.     

基于分位数回归的中国居民消费研究

本文从经济增长理论及一般均衡分析入手,将居民收入和政府支出引入效用函数,探讨消费、生产及政府行为三者之间的关系,得到消费的动态方程。同时基于该方程利用分位数回归进行实证分析,结果表明,不同消费量下各变量对消费有不同的影响,同时对城镇和农村的影响程度也各不相同。     

A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model

Computationally efficient methods for Bayesian analysis of seemingly unrelated regression (SUR) models are described and applied that involve the use of a direct Monte Carlo (DMC) approach to calculate Bayesian estimation and prediction results using diffuse or informative priors. This DMC approach is employed to compute Bayesian marginal posterior densities, moments, intervals and other quantities, using data simulated from known models and also using data from an empirical example involving firms’ sales. The results obtained by the DMC approach are compared to those yielded by the use of a Markov Chain Monte Carlo (MCMC) approach. It is concluded from these comparisons that the DMC approach is worthwhile and applicable to many SUR and other problems.     

Housing Wealth and UK Consumption

There is widespread disagreement about the role of housing wealth in explaining consumption. However, much of the empirical literature is marred by poor controls for the common drivers both of house prices and consumption, such as income, income growth expectations, interest rates, credit supply conditions, other assets and indicators of income uncertainty (e.g. changes in the unemployment rate). For instance, while the easing of credit supply conditions is usually followed by a house price boom, failure to control for the direct effect of credit liberalisation on consumption can over‐estimate the effect of housing wealth or collateral on consumption. This paper (Janine Aron, John Muellbauer and Anthony Murphyi, October 2006) estimates an empirical model for UK consumption from 1972 to 2005, grounded in theory, and with more complete empirical controls than hitherto used.     

World,country, and sector factors in international business cycles

Do sector-specific factors common to all countries play an important role in explaining business cycle co-movement? We address this question by analyzing international co-movements of value added (VA) growth in a multi-sector dynamic factor model. The model contains a world factor, country-specific factors, sector-specific factors, and idiosyncratic components. We estimate the model using Bayesian methods for 30 disaggregated sectors in the G7 economies for the 1974–2004 period. Our findings show that, although there is a substantial role for sector-specific factors, fluctuations are dominated by country-factors. The world factor appears to play a minimal role because, when using aggregate data, the world factor captures both the factor common to all countries and industries and the factor common to the same industry across countries. We then examine how these factors evolved as globalization deepened over the past two decades. Our results suggest that business cycles at a disaggregate level have not become more synchronized internationally. This is mainly driven by a substantial fall in the volatility of world shocks during the globalization period, rather than a lower sensitivity of sectoral growth to world factors. Our results also reveal that world factors appear to be more important for industries with a higher level of international vertical integration.     

The Income Elasticity of Money Demand: A Meta‐Analysis of Empirical Results*

Abstract. In this paper, we use meta‐analytic methods to investigate possible sources for the large variation in empirical findings about the income elasticity of money demand. Our results suggest that the broadness of the monetary aggregate, the inclusion of wealth and the consideration of financial innovation exert a significant influence on estimated income elasticities. Furthermore, we find substantial cross‐country differences, in particular between the US and other countries. These differences can, to some extent, be explained by the macrofeconomic environment and the dissemination of payment cards.