Health expenditure models: A comparison using panel data

In this article, we focus on the estimation of outpatient expenditures with panel data. We model the logarithm of expenditures and consider five different models. The first two are two-part and sample selection cross-section models. Two-part panel data models turn out to be inappropriate for dealing with expenditures. We thus estimate sample selection models with panel data: one without a lagged dependent variable and two with a lagged dependent variable. These two latter models differ in their assumptions on the variance of the residuals. Modelling heteroscedasticity may indeed be important to avoid the bias due to the retransformation problem. We show that lagged dependent variables are important factors for heteroscedasticity. For the models with state dependence, we provide a new solution to the initial conditions problem by controlling for generalised residuals. We establish that panel data models highly improve the correlation explained by the model in the time-series dimension without damaging the fit in the cross-section dimension. For all indicators of fit, the model with state dependence and heteroscedasticity seems to dominate the others.     

A NON‐PARAMETRIC MEASURE OF POVERTY ELASTICITY

We estimate the growth elasticity of poverty (GEP) using recently developed non‐parametric panel methods and the most up‐to‐date and extensive poverty data from the World Bank, which exceeds 500 observations in size and represents more than 96 percent of the developing world's population. Unlike previous studies which rely on parametric models, we employ a non‐parametric approach which captures the non‐linearity in the relationship between growth, inequality, and poverty. We find that the growth elasticity of poverty is higher for countries with fairly equal income distributions, and declines in nations with greater income disparities. Moreover, when controlling for differences in estimation technique, we find that the reported values of the GEP in the literature (based on the World Bank's now‐defunct 1993‐PPP based poverty data) are systematically larger in magnitude than estimates based on the latest 2005‐PPP based data.     

THE EFFECT OF GOVERNMENT SPENDING ON ECONOMIC GROWTH: TESTING THE NON‐LINEAR HYPOTHESIS

Theoretical models suggest a non‐linear relationship between government size and long‐run economic growth. However, testing this hypothesis empirically in cross‐country studies is complicated by the endogeneity of government spending and the accurate identification of inflexion points. This paper examines the non‐linear hypothesis by incorporating threshold analysis in a cross‐country growth regression. The methodology utilizes a sample‐splitting framework and follows an objective strategy for identifying and testing changes in the slope. The results provide evidence in support of the non‐linear hypothesis for a broad panel of countries.     

A FURTHER EXAMINATION OF THE PRICE AND VOLATILITY IMPACT OF STOCK DIVIDENDS AT EX‐DATES*

We examine the price and volatility reaction around stock dividend ex‐dates for an Australian sample, over the period January 1992 to December 2000. We find that price reaction around stock dividend ex‐dates provides positive abnormal returns both prior, and subsequent, to the abolishment of par value of shares in July 1998. When we partitioned the sample into financial, industrial non‐financial and mining firms, the price reaction is found to be positive and significant only for industrial non‐financial companies. Volatility of daily returns for periods subsequent to ex‐dates is significantly greater than corresponding periods prior to announcement dates, while cumulative raw returns subsequent to ex‐dates are significantly lower than periods prior to announcement dates for industrial non‐financial companies. The magnitude of the price reaction is statistically significantly related to an increase in the volatility of daily returns and to a reduction in cumulative raw returns subsequent to the ex‐dates, for industrial non‐financial companies. These findings support buying pressure hypothesis suggested by Dhatt et al. (1994, 1996 ).     

PUBLIC DEBT MATURITY AND CURRENCY CRISES

The theory underlying the effect of debt structure on the probability of a currency crisis and the slope of the yield curve was developed in Benigno and Missale (2004). In this paper, we provide the empirical evidence to support their model's predictions. In a dynamic panel data framework, we produce generalized method of moments estimates that give substantial support to the hypothesis that the role of short‐term debt depends on how a devaluation affects the reputation of the policymaker and the real value of public debt. In addition to the empirical analysis, we generalize the theoretical framework to allow for the presence of non‐deflatable debt and, for completeness, examine the case where the monetary authority can fully commit itself to an escape clause monetary rule.     

The relationship between inequality and innovative activity: a Schumpeterian theory and evidence from cross‐country data

This article examines the effect of inequality on technological progress when innovations are protected by patents of finite length. It provides a Schumpeterian theory of the non‐linear relationship between income distribution and innovative activity in a dynamic general equilibrium setting. Additionally, the theory is empirically tested by investigating how inequality affects innovative activities in a cross‐country setting. Using two new data sets on inequality, one linear and two non‐linear dynamic panel data models are estimated. The results are robust to two common inequality measures. They support the hypothesis that there is an overall negative relationship between inequality and innovative activity and the relationship is non‐linear but not necessarily an inverted‐U.     

Are nontariff measures and tariffs substitutes? Some panel data evidence

Using new estimates of ad valorem equivalent of nontariff measures (NTMs) over time, this paper examines NTMs and tariffs’ relationship for a sample of 70 economies for 4,949 products at the 6‐digit harmonized system level over the period 2003–2015. A panel data methodology models the lagged adjustment of NTMs to tariffs, consistent with a causal relationship. Trade policy substitution is found when the models are estimated in both levels and changes; with this holding for both OECD and non‐OECD countries, but not for the agriculture sector in OECD countries. Overall, there is a fairly complete substitution between policy instruments in absolute terms.     

DOES SOCIAL TRUST INCREASE INDIVIDUAL HAPPINESS IN JAPAN?*

Economists are mainly interested in trust as being growth enhancing, but whether trust is well‐being enhancing is underexplored. This paper examines if trust is intrinsically valuable by using individual happiness data from Japan. I attempt to mitigate the problem of non‐random selection of residents by restricting the sample to non‐movers. I also address reverse causality by instrumenting trust with residential stability, as trust should be higher for a more stable community. I find that trust has positive and significant effects on individual happiness. The instrumental variables approach suggests that social trust has a causal effect on individual happiness.     

US HEALTH AND AGGREGATE FLUCTUATIONS

This paper aims to shed light on the importance of health considerations for business cycle fluctuations and the effect of health status on labour productivity and availability of labour input for productive use. To this end, Grossman's (2000) partial‐equilibrium framework with endogenous health is incorporated in an otherwise standard Real‐Business‐Cycle (RBC) model. Health status in this setup is modelled as a utility‐enhancing, intangible, and non‐transferrable capital stock, which depreciates over time. The household can improve their health (‘produce health') through investment using a health‐recovery technology. The main results are: (i) overall, the model compares well vis‐a‐vis data; (ii) the behaviour of the price of healthcare is adequately approximated by the shadow price of health in the model; (iii) the model‐generated health variable exhibits moderate‐ to high correlation with a large number of empirical health indicators.     

Revisiting the Link Between Stock Prices and Goods Prices in OECD Countries

Fisher hypothesis postulates positive relation between stock return and inflation; however early studies document negative relationship between the two and they conclude that stock cannot be used as a hedge against inflation. In this paper we explore long‐run nonlinear relationship between stock price and goods price. Our sample consists of 19 OECD countries; all or some of these countries have been studied before with the findings of linear cointegration between the stock index and goods price index. Based on unit root tests and linear cointegration test, we apply threshold cointegration tests, Autoregressive Distributed Lag (ARDL) cointegration test and panel VAR method. With all these econometric methods we arrive at heterogeneous findings as follows: two countries have linear cointegration, five countries have threshold cointegration, nine countries do not have any cointegration and finally two countries provide inconclusive results. Estimates of Fisher coefficient provided by linear and nonlinear cointegration methods, which range between 1.27 and 1.86, are consistent with previous studies. Impulse response analysis from panel VAR for countries having no cointegrating relation shows that shock to inflation produces negative response in stock return, which supports findings of earlier studies.     

HOW DO OIL PRICE SHOCKS AFFECT A SMALL NON‐OIL PRODUCING ECONOMY? EVIDENCE FROM HONG KONG

We find no evidence from either in‐sample or out‐of‐sample analyses that an oil price shock would necessarily affect a small non‐oil producing economy such as Hong Kong. In our in‐sample recursive vector autoregressive investigations, oil price does not Granger cause the key macroeconomic indicators. The forecast errors from our out‐of‐sample examination using a vector error correction model with oil shocks, which represents an extension to previous studies, were found to be statistically the same as those from the vector error correction model without these shocks. The analysis leads us to dispel the conventional wisdom that a small non‐oil producing economy is more vulnerable to oil shocks than a larger oil‐producing economy such as the USA.     

The Dynamics of Poverty and the Promotion of Transition from Non‐Regular to Regular Employment in Japan: Economic Effects of Minimum Wage Revision and Job Training Support

Comparison between Japan and other advanced countries shows that the relative poverty rate is high in Japan, and that many of the poor households are those with a non‐regular worker. As for mobility between income classes, the proportion of households remaining in the poor class for a long period of time in Japan is close to the average for EU countries. The panel estimation of its effect on wages shows that the raising of the minimum wage is statistically significantly associated with an increase in wages of non‐regular workers, in particular, female, but does not seem to decrease employment. The result shows that for male non‐regular workers, firm‐provided training promotes their transition to regular employment, and that for female non‐regular workers, occupational training promotes their transition to regular employment at different firms.     

Market Integration and Economic Development: A Long-run Comparison

How much of China’s recent economic performance can be attributed to market‐oriented reforms introduced in the last two decades? A long‐run perspective may be important for understanding the process of economic development occurring today. This paper compares the integration of rice markets in China today and 270 years ago. In the eighteenth century, transport technology was non‐mechanized, but markets were close to being free. We distinguish local harvest and weather from aggregate sources of price variation in a historical sample and in a similarly constructed contemporary sample. Findings indicate the degree of market integration in the 1720s is a very good predictor of per capita income in the 1990s. Moreover, the current pattern of interregional income in China is strongly linked to persistent geographic factors that were already apparent several centuries ago, well before the enactment of modern reform programs.     

Segmentation of consumer markets in the US: What do intercity price differences tell us?

We quantify the magnitude of market segmentation in US consumer market and explore the underlying factors behind this segmentation, using a quarterly panel of retail prices for 45 products in 48 US cities from 1985 to 2009. The extent of market segmentation is estimated using city‐pair price differences within the framework of both linear autoregressive (AR) and nonlinear threshold autoregressive (TAR) models. We find that the magnitude of market segmentation varies from one product to another, but even more across city pairs in each product. Contrary to a widespread perception, market segmentation within the US is not necessarily larger for non‐tradable services compared to tradable goods. We identify potential drivers of market segmentation by relating the cross‐city and cross‐product variations of market segmentation to location‐specific and product‐specific characteristics—distance, relative city sizes, differences in wage and rent, type of product and proximity to marketplace. Distance, which captures more than transport costs, turns out to be the most salient factor even after controlling for a range of other potential factors. The effect of distance, however, varies substantially across products, with perishable products and locally produced products showing larger distance effect on market segmentation. We find that the magnitude of market segmentation has been somewhat stable during the sample period, but intercity price differences have become more sensitive to distance over time in many products under study.     

CONTRADICTORY TRENDS IN GLOBAL INCOME INEQUALITY: A TALE OF TWO BIASES

Did global income inequality rise or fall over the last decades of the twentieth century? The answer depends on how cross‐country income comparisons are made. Exchange rate comparisons suggest that inequality rose whilst the purchasing power comparisons of the Penn World Table suggest it fell. We show that both measures of real incomes lead to biased international income comparisons. Exchange rate comparisons ignore the relative price of non‐tradables, whilst the fixed price method underlying the Penn World Table is subject to substitution bias. The contradictory trends are due to growing dissimilarity between national price structures increasing the degree of bias in each method. When we correct the income data to eliminate bias we find no compelling evidence of a significant change in world inequality.     

The Behaviour of Real Exchange Rates: The Case of Japan

This study examines the convergence rate of mean reversion by estimating the half‐lives of sectoral real exchange rates using an extensive product price panel for Japan (with the USA as the numéraire). We find that the half‐lives of sectoral real exchange rates are remarkably distorted when the grouped half‐life is measured inappropriately and the cross‐sectional dependence and potential trend breaks are ignored. After taking account of these problems, the bias‐corrected half‐life for all goods is as low as 3.00 years, close to the bottom of the consensus view of 3 to 5 years. Moreover, the bias‐corrected half‐life of mean reversion is 2.40 years for traded goods, and only approximately half that for non‐traded goods. Finally, our findings also support the view that small‐sample bias correction is critical for half‐life estimations.     

On the Stationarity of Current Account Deficits in the European Union

In this paper, we test for the stationarity of EU current account deficits. Our testing strategy addresses two key concerns with regard to unit‐root panel data testing, namely (i) the identification of which panel members are stationary, and (ii) the presence of cross‐sectional dependence. For this purpose, we employ an AR‐based bootstrap approach to the Hadri (2000 ) test. While there is only mixed evidence that current account stationarity applies when examining individual countries, this does not appear to be the case when considering panels comprising both EU and non‐EU members.     

Oil prices,growth, and remittance outflows from the Gulf Cooperation Council

How does a decline in oil prices and its impacts on growth affect remittance outflows from the Gulf Cooperation Council (GCC) countries? This paper carries out an empirical analysis of the relationship between oil prices, oil‐ and non‐oil GDP, and remittances outflows from the GCC. The findings of our paper are three folds. First, we find that non‐oil GDP is a key determinant of remittance outflows and that oil GDP is a significant driver of non‐oil GDP in the GCC only in the long term. Second, we document that historically oil prices and remittances tend to broadly move in the same direction but that remittances have been much less volatile than oil prices. An analysis of the past large oil price declines shows that remittance flows to major remittance recipients in Mashreq, Pakistan, and Yemen fell only modestly following large declines in oil prices and recovered quickly in line with oil prices. Finally, we estimate the elasticity of remittance outflows with respect to non‐oil GDP in the GCC using various techniques. Estimates of short‐term elasticity vary between 0.5 and 0.8, while estimates of long‐term elasticity vary between 0.6 and 1.1. We find that construction and government services are two non‐oil GDP components that are strongly associated with remittance outflows.     

APPLICATION OF PANEL DATA MODELS IN BENCHMARKING ANALYSIS OF THE ELECTRICITY DISTRIBUTION SECTOR*

ABSTRACT ** : This paper explores the application of several panel data models in measuring productive efficiency of the electricity distribution sector. Stochastic Frontier Analysis has been used to estimate the cost‐efficiency of 59 distribution utilities operating over a nine‐year period in Switzerland. The estimated coefficients and inefficiency scores are compared across three different panel data models. The results indicate that individual efficiency estimates are sensitive to the econometric specification of unobserved firm‐specific heterogeneity. This paper shows that alternative panel models such as the ‘true’ random effects model proposed by Greene (2005) could be used to explore the possible impacts of unobserved firm‐specific factors on efficiency estimates. When these factors are specified as a separate stochastic term, the efficiency estimates are substantially higher suggesting that conventional models could confound efficiency differences with other unobserved variations among companies. On the other hand, refined specification of unobserved heterogeneity might lead to an underestimation of inefficiencies by mistaking potential persistent inefficiencies as external factors. Given that specification of inefficiency and heterogeneity relies on non‐testable assumptions, there is no conclusive evidence in favour of one or the other specification. However, this paper argues that alternative panel data models along with conventional estimators can be used to obtain approximate lower and upper bounds for companies' efficiency scores.     

Intranational Price Convergence and Price Stickiness: Evidence from Denmark

We show that estimates of the half‐life of deviations from the law of one price are biased when their precision is not taken into account when aggregating data for different types of goods. Using a comprehensive dataset with monthly price data for 124 homogeneous products across regions in Denmark over the period 1997–2010, we find a large positive aggregation bias. On average, we find that the half‐life is 8.4 months when taking the bias into account, compared with 28.7 months when applying the standard method. The heterogeneity in the estimated half‐life can be explained by price stickiness, distance between regions, and whether the good is traded or non‐traded.