Feles: The functionalized extended linear expenditure system: Theory,estimation procedures and application to individual household consumption expenditures involving socioeconomic and sociodemographic characteristics

This article introduces the Functionalized Extended Linear Expenditure System, FELES, a new extension on Lluch's familiar Extended Linear Expenditure System. Household individual expenditures with respect to ‘subsistence expenditures’ and ‘partial marginal propensities to consume’ are made explicitly dependent on socioeconomic and sociodemographic characteristics in a system-wide approach. A restricted maximum likelihood estimator for relatively small systems with few explanatory variables and an iterative estimation procedure for larger systems with an extensive set of explanatory variables are proposed. The complete FELES then is applied to cross-sectional data with more than 47,000 German households. Stone's LES and Lluch's ELES are first quantified too on a German data base of this extent.     

Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles

According to intuition and theories of diffusion, consumer preferences develop along with technological change. However, most economic models designed for policy simulation unrealistically assume static preferences. To improve the behavioral realism of an energy–economy policy model, this study investigates the “neighbor effect,” where a new technology becomes more desirable as its adoption becomes more widespread in the market. We measure this effect as a change in aggregated willingness to pay under different levels of technology penetration. Focusing on hybrid-electric vehicles (HEVs), an online survey experiment collected stated preference (SP) data from 535 Canadian and 408 Californian vehicle owners under different hypothetical market conditions.Revealed preference (RP) data was collected from the same respondents by eliciting the year, make and model of recent vehicle purchases from regions with different degrees of HEV popularity: Canada with 0.17% new market share, and California with 3.0% new market share. We compare choice models estimated from RP data only with three joint SP–RP estimation techniques, each assigning a different weight to the influence of SP and RP data in coefficient estimates. Statistically, models allowing more RP influence outperform SP influenced models. However, results suggest that because the RP data in this study is afflicted by multicollinearity, techniques that allow more SP influence in the beta estimates while maintaining RP data for calibrating vehicle class constraints produce more realistic estimates of willingness to pay. Furthermore, SP influenced coefficient estimates also translate to more realistic behavioral parameters for CIMS, allowing more sensitivity to policy simulations.     

Sovereign rents and quality of tax policy and administration

Windfall revenues from foreign aid or natural resource exports can weaken governments’ incentives to design or maintain efficient tax systems. Cross-country data for developing countries provide evidence for this hypothesis, using a World Bank indicator on “efficiency of revenue mobilization.” Aid’s negative effects on quality of tax systems are robust to correcting for potential reverse causality, to changes in the sample, and to alternative estimation methods. Revenues from natural resources are also associated with lower-quality tax systems, but results are somewhat sensitive to the choice of resource dependence indicators, and to a few extreme values in the data. Disaggregating by resource type, revenues from fuel exports are found to be more strongly associated than revenues from metals and ores exports with inefficient tax systems.     

Development and distribution: A critique of the cross-country U-hypothesis

This paper questions the validity of a modern paradigm, viz., the U-Hypothesis. It argues that notwithstanding contrary claims, the recent cross-country econometric studies by Ahluwalia and others have little in common from a methodological point of view with Kuznets' earlier intertemporal national studies. Ahluwalia's cross-country U-Curve is found to be based on defective statistics and questionable methodological premises. In specific, the estimation of one U-Curve from observations on both LDCs and DCs is criticised. A sample restricted to the LDC group considerably weakens support for the U-Hypothesis. Further, even marginal variations in the data set lead to the virtual disappearance of Ahluwalia's empirical relationship. The paper concludes that the cross-country U-Hypothesis is more of a hindrance than an aid to our comprehension of the relationship between economic growth and income distribution.     

What’s spurious, what’s real? Measuring the productivity impacts of ICT at the firm-level

In order to assess the productivity effects of information and communication technologies (ICT), regressions based on cross–sectional firm–level data may yield unreliable results for the commonly employed production function framework. In this paper, various estimation biases and econometric strategies to overcome their sources are discussed. The effects are illustrated on the basis of a representative set of panel data for German service firms covering the period 1994 to 1999. The application of a suited SYS–GMM estimator yields evidence for significant productivity effects of ICT. However, these are substantially smaller than those suggested by cross–section estimates.I would like to thank Irene Bertschek, François Laisney, Georg Licht, Werner Smolny, Kevin Stiroh, Elke Wolf, Thomas Zwick and two anonymous referees for their helpful comments and the MIP–team for providing me with the data. This paper was written as part of the research project ‘‘Productivity and Spillover Effects from ICT as a General Purpose Technology’’ commissioned by the Landesstiftung Baden–Württemberg foundation.Final version received: September 2002/Final version accepted: April 2004     

State of the “life span revolution” between 1980 and 2000

Using data for 163 countries, state of the “life span revolution” over the period 1980–2000 is studied in terms of measures of cross-country inequality and through least-squares and quantile-regression estimation of simple convergence models. Four main points are noted. First, dynamics of the cross-country distribution of life expectancy during these 20 years seem markedly different from those for the preceding decades: instead of the sharp “convergence” noted until the 1980s, there is lack of convergence and an indication of “divergence”. Second, the divergence is particularly marked during the 1990s. Third, spread of HIV/AIDS has probably been a significant factor in generating divergence during the 1990s. Fourth, besides the sizable temporal heterogeneity, quantile-regression estimates of convergence models reveal a substantial heterogeneity across the top and the bottom quartiles within each period.     

Intertemporal consumption with directly measured welfare functions and subjective expectations

Euler equation estimation of intertemporal consumption models requires many, often unverifiable assumptions. These include assumptions on expectations and preferences. We aim at reducing some of these requirements by using direct subjective information on respondents’ preferences and expectations. The results suggest that individually measured welfare functions and expectations have predictive power for the variation in consumption across households. Furthermore, estimates of the intertemporal elasticity of substitution based on the estimated welfare functions are plausible and of a similar order of magnitude as other estimates found in the literature. The model favored by the data only requires cross-section data for estimation.     

Estimating labor supply and production decisions of self-employed farm producers

This paper proposes a model oriented towards integrating farm households' production and consumption decisions into a unified theoretical and econometric framework. It is argued that, in contrast with other forms of economic organization, farm households' utility and profit maximization decisions are not likely to be independent.Econometric estimation of a farm-household model using Canadian data suggests that utility and profit maximizing decisions are not indeed independent and, moreover, that there are significant gains in explanatory power and efficiency by estimating the consumption and production equations jointly.     

Can the augmented Solow model explain China’s remarkable economic growth? A cross-country panel data analysis

China’s economy grew at an average annual rate of 9% over the last three decades. Despite the vast empirical literature on testing the neoclassical model of economic growth using data on various groups of countries, very few cross-country regressions include China and none of them particularly focuses on the explanation of China’s remarkable economic growth. We attempt to fill this gap by utilising panel data on 146 countries over the period 1980–2004 to examine the extent to which the rapid growth of China and the huge gap in the growth rate between China and other countries can be explained by the augmented Solow model. Using system GMM estimation techniques, we find that, in spite of the restrictive assumptions involved, the Solow model augmented by both human capital and structural change provides a fairly good account of international variation in economic growth. In particular, China’s relative success in economic growth is due to high physical capital investment, conditional convergence gain, dramatic changes in the structure of employment and output, and low population growth.     

Determinants of long-term growth: New results applying robust estimation and extreme bounds analysis

Two important problems exist in cross-country growth studies: outliers and model uncertainty. Employing Sala-i-Martin’s (1997a,b) data set, we first use robust estimation and analyze to what extent outliers influence OLS regressions. We then use both OLS and robust estimation techniques in applying the Extreme Bounds Analysis (EBA) to deal with the problem of model uncertainty. We find that the use of robust estimation affects the list of variables that are significant determinants of economic growth. Also the magnitude of the impact of these variables differs sometimes under the various approaches.First version received: March 2003 / Final version received: June 2004We like to thank two referees for their very helpful comments on a previous version of this paper. The usual disclaimer applies.     

Technical efficiency measures for olive-growing farms in Crete, Greece

This study attempts to contribute to the productivity literature of the agriculture of developing countries by exploring the distribution of technical efficiency over time among olive-growing farms operating in the southern part of Greece—specifically, the island of Crete. A balanced panel data set during the period 1987–93 is utilized for the estimation of the stochastic production frontier. The results show decreasing efficiency for farms since 1987 and suggest the need for a development strategy to improve their economic performance in the context of expected major changes in the Common Agricultural Policy. A further result is that farm size, the farmer's education, the existence of an improvement plan, and land fragmentation are the most important factors explaining inter-farm variation in efficiency.     

Are Minimum Wages to Blame for Informality in the Labour Market?

The paper estimates the impact of the minimum wage on formal and informal employment in a developing country combining the use of aggregate time series data with modern time-series methods. The analysis is carried out for the case of Brazil over the period 1982–2002. The hypothesis under investigation is that minimum wage rises price workers out of the formal labour market and into the informal sector. The modelling strategy involves the estimation of the long-run structure as well as the short-term dynamics of employment equations in which the minimum wage enters as an explanatory variable.JEL codes: J23 J51 C32     

Discounting telephone service: An examination of participation in the Lifeline Assistance Program using panel data

We examine the Lifeline Assistance Program to consider reasons people forgo a program providing financial benefits. Using panel data we employ a feasible generalized least squares estimation in which the dependent variable is the logit of the Lifeline participation rate. Our unique database incorporates characteristics of the eligible rather than the general population. We find incumbent telecommunications providers’ enrollment efforts are statistically significant, and that home ownership and female head of household are associated with greater participation; being elderly and less educated are associated with less participation. Additionally, we find that an increase in the local phone rate is associated with increased participation. Our findings are important for regulatory policy surrounding the Lifeline program and universal service programs generally.     

Regionalization, public spending and growth: a stylized model dealing with ‘predatory states’

In this paper, a micro-founded model analyzing the effects of ‘regionalization’ on economic activity is developed. It shows that the spatial division of public competencies can have an impact on the growth rate via the efficiency of governmental choices: initially advantageous for weak levels, decentralization (/reduction of regional size) becomes limited due to the risk of underestimation of the real profitability of public expenditure by local governments (non-internalized cross-border effects). In accordance with the theory, a transversal estimation for a sample of 51 countries for the 1990s establishes a ‘bell-shaped’ relation between indicators of regionalization and the quality of governance.     

The diffusion of successive generations of a technology: A more general model

In many cases of technological development, successive generations of a technology evolve, each more efficient than its predecessor. It has been assumed when modeling and forecasting the adoption of these technologies that the market reaction to each generation was similar. Using the terminology of the Bass model, this similarity is encapsulated in the assumption that the coefficients of innovation and imitation are constant. New data for two and three generations of mobile telephone technology from eleven countries are modeled. The modeling framework used—simultaneous estimation for successive generations using a full information maximum likelihood procedure—demonstrates that, in most cases, the hypothesis of constant coefficients can be rejected. Use of a model with changing coefficients is shown to considerably improve forecasting performance. These results were reinforced by analysis of data for four generations of IBM mainframes.     

Hedging effectiveness comparisons: A note

This note examines the hedging effectiveness of three hedge strategies on twenty-four commodity and financial markets. Lien (Lien, D., 2005a, The use and abuse of the hedging effectiveness measure, International Review of Financial Analysis 14, 277–282, Lien, D., 2005b, A note on the superiority of the OLS hedge ratio, Journal of Futures Markets 25, 1121–1126.) suggest that, absent from estimation errors, the minimum variance (MV) hedge ratio attains the maximum post-sample hedging effectiveness when there is no structural change across estimation and comparison samples. When comparing the MV strategy with the naïve hedge ratio, we find sufficiently strong support for the conclusion. On the other hand, driven by estimation errors, weaker support is produced when comparing MV and error correction (EC) hedge strategy.     

Data-dependent selection of the lag truncation parameter in unit root tests of the Phillips-Perron type

The Andrews (Econometrica, 1991, 59, 817–858) plug-in method of heteroscedastic and autocovariance consistent covariance matrix estimation is used to construct estimators of the long-run variance parameter for use in Phillips-Perron unit root tests. This allows the lag truncation parameter to be data dependent. Monte Carlo size and power estimates are obtained suggesting that this apparently natural approach does not provide significant improvements in test performance.     

Statistical tests of relative substitutabilities of near-monies over time

Chetty's direct utility approach was an innovative attempt to measure substitution relationships between money and near-monies. Moroney and Wilbratte, and more recently Boughton, have generalized the functional form used by Chetty to include income as an independent variable in a manner which subsumes Chetty's model as a special case. This paper modifies the. direct utility approach of these authors to alleviate estimation problems and provide a method of testing relative substitutabilities to obtain a ranking of assets. A three-equation model is estimated by Zellner's seemingly unrelated regressions procedure, with a linear constraint to eliminate identification problems. The Chi-square test developed by Zellner is used to choose a functional form and to compare relative substitutabilities. The stability of relationships over time is also tested.     

Bootstrapping for standard errors of instrumental variable estimates

Theil and Finke (1983) used the distance from the equator as an instrumental variable (IV) in the estimation of a cross-country demand system. Here we obtain standard errors of the IV estimates using Efron's (1979) bootstrap technique.     

Money, expectations, and interest rates

This paper employs a model of nominal interest rate determination in a framework of rational expectations of inflation. Hypotheses are developed with respect to relative impacts of predictable and unpredictable changes in money supply. These hypotheses are tested using quarterly Italian data from 1966–1975. The nominal monetary base is the measure of money employed and one private and two government bond rates measure nominal interest rates. The results are insensitive to variations in estimation procedure and specification of adjustment processes (and even predictive functions for the monetary base). The rational expectations formulation is well supported in every case.