Is there convergence amongst shadow economies? International evidence

This paper examines convergence among cross-country shadow economies. Using the Phillips-Sul (2007, 2009) club convergence approach and data for over 150 countries from 1991 to 2017, the results show evidence against absolute convergence for all shadow economies; however, we find evidence of multiple convergence clubs. In particular, we find evidence for seven distinct convergence clubs and six divergent shadow economies. Each club is characterised by an increasingly larger shadow economy with the countries in club 1 having the largest shadow economy and those in club 7 having the smallest shadow economy. Using a two-way fixed effects approach, we also find that the determinants of the shadow economy are somewhat conditional on the convergence club. The existence of multiple equilibria suggests that policy makers in their attempt to combat the shadow economy would benefit by considering the different transitional paths associated with the different convergence clubs.     

Exploring the development trend of internet finance in China: Perspective from club convergence

We first employ β-conditional convergence and log t regression tests based on nonlinear time-varying factor model and club clustering algorithm to analyze the convergence characteristics of the development level of Internet finance in 335 prefecture-level cities in China. The result of log t regression test illustrates that there is no convergence as a whole in the development level of China's Internet finance. However, seven convergence clubs and a divergent group have been formed, and the development level and growth rate of Internet finance among these convergence clubs have shown obvious differences. Moreover, we also employ the Ordered Probit to explore the formation mechanism of the convergence clubs. The results reveal that the regions with a higher level of economic development, traditional financial development, economic openness and Internet development are more inclined to converge in a club with a higher Internet finance development level. Alternatively, the regions that are interfered with more by the government or that have a lower degree of marketization, tend to converge in a club with a lower level. Finally, according to the conclusions, we propose corresponding policy recommendations for promoting the regional coordinated development of China's Internet finance.     

Country and industry convergence of equity markets: International evidence from club convergence and clustering

This study employs the panel convergence methodology developed by Phillips and Sul (2007) to explore the convergence dynamics of international equity markets. The analysis considers both country and industry effects. While traditional portfolio management strategies usually follow a top-down procedure, assuming that country-level effects drive financial aggregates (e.g., stock returns) our empirical results suggest that the equity markets of 37 of the 42 counties in our sample do form a unified convergence club. The empirical findings, however, also show more numerous stock-price convergence clubs in certain industries. That is, country factors play a more important role in explaining the actual convergence in real stock prices than industry factors. Conversely, the volatility of stock prices exhibits much more evidence of convergence than stock prices. These findings should assist portfolio managers in the design and implementation of appropriate portfolio management strategies. Regulatory authorities also can benefit in the design of financial regulation.     

China and international market integration: Evidence from the law of one price in the Middle East and Africa

We model market integration in the Middle East and Africa by analyzing price dispersion and testing the law of one price (LOP) on highly-comparable actual local retail prices of 135 goods and services across 23 countries in the region over the period of 1990–2016. Second-generation panel estimators are applied to four price benchmarks: Regional average, South Africa, China, and US prices. Cross-regional price dispersion diminishes considerably over time up to 2008, particularly for non-tradeables around China price. The test of LOP indicates the percentage of convergent prices is highest in China price benchmark, followed by US, South Africa, and regional average benchmarks. Direct estimation of the convergence speed confirms this order. Overall, the results show evidence of increasing market integration in Middle East and Africa but it appears to be driven by global forces and, especially, the rise of China as a new economic power. The results show that some emerging market economies, such as China, can step up and promote integration while traditional economic powerhouses, such as the USA and UK, disengage from international economic relations.     

House price convergence in euro zone and non-euro zone countries

This study investigates whether single currency use increased house price convergence among various countries. First, the panel unit root test results indicate that the house prices in euro zone countries were more correlated than the house prices in non-euro zone countries. Second, the house prices in various European countries converged towards the house prices in Germany, which uses the single currency, rather than towards those in the United Kingdom, indicating that single currency use increased the influence of the German housing market on other markets. Finally, the log t regression model, a new convergence test, was employed and determined that the house prices in various European countries were not converging before 1992 but began to do so after that year. After the euro was implemented as an official currency, the house prices in various countries converged towards a consistent level. On the basis of the relative transition paths, this study determines that the differences among housing markets in various countries have continuously decreased since 1992. The empirical results indicate that the law of one price is applicable to tradable goods and that single currency use can integrate housing markets, which include non-tradable goods.     

Identification and Estimation of Club Convergence Models with Spatial Dependence

This article deals with heterogeneity and spatial dependence in economic growth analysis by developing a two‐stage strategy that identifies clubs by a mapping analysis and estimates a club convergence model with spatial dependence. Since estimation of this class of convergence models in the presence of regional heterogeneity poses both identification and collinearity problems, we develop an entropy‐based estimation procedure that simultaneously takes account of ill‐posed and ill‐conditioned inference problems. The two‐step strategy is applied to assess the existence of club convergence and to estimate a two‐club spatial convergence model across Italian regions over the period 1970 to 2000.     

A pair-wise approach to testing for output and growth convergence

This paper proposes a pair-wise approach to testing for output convergence that considers all N(N-1)/2$N(N-1)/2$ possible pairs of log per-capita output gaps across N economies. A general probabilistic definition of output convergence is also proposed, which suggests that all such output gap pairs must be stationary with a constant mean. The approach is compatible with individual output series having unit roots, or other non-stationary common components and does not involve the choice of a reference country in computation of output gaps. It is also applicable when N is large relative to T (the time dimension of the panel). After providing some encouraging Monte Carlo evidence on the small sample properties of the pair-wise test, the test is applied to output series in the Penn World Tables over 1950–2000. Overall, the results do not support output convergence, and suggest that the findings of convergence clubs in the literature might be spurious. However, significant evidence of growth convergence is found, a result which is reasonably robust to the choice of the sample period and country groupings. Non-convergence of log per-capita outputs combined with growth convergence suggests that while common technological progress seems to have been diffusing reasonably widely across economies, there are nevertheless important country-specific factors that render output gaps highly persistent, such that we cannot be sure that the probability for the output gaps to lie within a fixed range will be non-zero.     

House price convergence in the euro zone: A pairwise approach

The adoption of the euro common currency was expected to lead to convergence for a number of economic and financial variables across national borders, including house prices. We apply a probabilistic pairwise approach to the question of whether home values converge across eight euro zone housing markets. Contrary to previous studies, we find only marginal evidence that euro housing markets converge. Moreover, for what convergence there appears to be, there is no evidence that the adoption of the euro itself played a role in creating such convergence. Finally, Germany, the largest and most dominant economy of the currency union, is rarely found to be convergent with other nations.     

Asymptotically perfect and relative convergence of productivity

In this paper we examine the extent to which countries are converging in per capita productivity levels. We propose to use cluster analysis in order to allow for the endogenous selection of converging countries. We formally define convergence in a time series analytical context, derive the necessary and sufficient conditions for convergence, and introduce a cluster analytical procedure that distinguishes several convergence clubs by testing for these conditions using a multivariate test for stationarity. We find a large number of relatively small convergence clubs, which suggests that convergence might not be such a widespread phenomenon. Copyright © 2000 John Wiley & Sons, Ltd.     

Comovements and asymmetric tail dependence in state housing prices in the USA: A nonparametric approach

We reexamine the methods used in estimating comovements among US regional home prices and find that there are insufficient moments to ensure a normal limit necessary for employing the quasi‐maximum likelihood estimator. Hence we propose applying the self‐weighted quasi‐maximum exponential likelihood estimator and a bootstrap method to test and account for the asymmetry of comovements as well as different magnitudes across state pairs. Our results reveal interstate asymmetric tail dependence based on observed house price indices rather than residuals from fitting autoregressive–generalized autoregressive conditional heteroskedasticity (AR‐GARCH) models.     

Dynamic modeling of regional house price diffusion in Taiwan

This paper examines the lead-lag relationships and the dynamic linkages among four regional house price indices in Taiwan. We employ the Johansen cointegration technique, Toda and Yamamoto’s Granger causality test, the generalized impulse response approach, and variance decomposition analysis to find out the extent and the magnitude of their relationships. The estimated long-run relationship between regional house prices appears to have remained stable throughout the sample period. Our empirical results show a bidirectional relationship between house prices in the most important economic center, Taipei City, and its suburban area, Taipei County. However, there are no causalities of house prices between Taipei City and other megacities in Taiwan. The mutual impacts of the shocks between house prices in Taipei City and Taipei County are significantly positive, while these impacts on Kaohsiung City, far from Taipei City, are insignificant. Finally, the results of the generalized impulse response approach indicate that the house prices indices of Taipei City are the most exogenous while those for Taipei County are the most endogenous.     

The influence of gay and lesbian coupled households on house prices in conservative and liberal neighborhoods

Gays and lesbians perceive themselves to be targets of discrimination in the housing market. Previous research has found that the presence of gays and lesbians is associated with increased housing values. We reconcile the perceived discrimination and research results by classifying neighborhoods as more conservative or liberal according to voting outcomes of the “Defense Of Marriage Act”. Using a data set comprised of over 20,000 house sale observations, we show that an increase in the number of same-sex coupled households is associated with an increase in house prices in more liberal neighborhoods and a decrease in house prices in more conservative neighborhoods. This suggests that gay and lesbian coupled households do experience prejudice in conservative neighborhoods.     

Escalation effects and the player draft in the AFL

This study investigates escalation effects in the Australian Football League (AFL). We use a sample of players selected in the AFL player draft (National Draft) between 1986 and 2002, and test for escalation effects by examining whether a player's draft order affects his subsequent utilisation by the club to which he was drafted. Utilisation is represented with measures of games played and tenure. Limited evidence of an escalation effect is found. Any relation between a player's draft order and his games played and tenure at the club to which he was drafted is concentrated in the early years of his career, and this apparent relation can be explained by the information about a player's ability that is contained in the player's draft order and by incentives for clubs to provide greater playing experience to higher ability players. Escalation effects in the AFL competition are therefore much weaker than have been found in studies of the US National Basketball Association (NBA). It is suggested that differences in the structure of the competitions may explain why the escalation effect in the AFL would be weaker than in the NBA.     

Housing wealth,liquidity constraints and self-employment

This paper investigates the existence of liquidity constraints facing entrepreneurs in the United Kingdom. Using a household-level panel data set, entry to self-employment is shown to be a function of household net worth. We use inheritances and unanticipated movements in house prices as instruments for shocks to liquidity. Results indicate that inheritances are a poor instrument for liquidity constraints because both past and future inheritances predict entry to self-employment. House prices shocks are a more plausible instrument because self-employed households disproportionately re-mortgage, but our results again indicate little evidence of house price shocks unbinding liquidity constraints facing the would-be self-employed.     

Tornado activity,house prices,and stock returns

In this paper we investigate the effects of tornado activity on house prices and stock returns in the US. First, using geo-referenced and metropolitan statistical area (MSA)-level data, we find tornado activity to be responsible for a significant drop in house prices. Spillover tornado effects between adjacent MSAs are also detected. Furthermore, our granular analysis provides evidence of tornadoes having a negative impact on stock returns. However, only two sectors seem to contribute to such a negative effect (i.e., consumer discretionary and telecommunications). In a macro-analysis, which relies on aggregate data for the South, West, Midwest and Northeast US regions, we then show that tornado activity generates a significant drop in house prices only in the South and Midwest. In these regions, tornadoes are also responsible for a drop in income. Tornado activity is finally found to positively (negatively) affect stock returns in the Midwest (South). If different sectors are examined, a more heterogeneous picture emerges.     

Competition in prescription drug markets: is parallel trade the answer?

This article uses a price determination model with dynamic panel data estimation to examine the extent to which pharmaceutical parallel trade promotes price competition and leads to downward price convergence. Little evidence of sustainable price competition is found. We find that prices are mainly affected by regulation and by competition in the wholesale distribution chain; that the pricing strategy of parallel distributors resembles that of originator drugs in importing countries; and that there may be upward rather than downward price convergence. Drawing on the European evidence, the findings also indicate that opening the US market to parallel imports will not necessarily lead to competition and enhance pharmaceutical cost containment. Copyright © 2010 John Wiley & Sons, Ltd.     

Subprime lending and the housing bubble: Tail wags dog?

The cause of the “housing bubble” associated with the sharp rise and then drop in home prices over the period 1998–2008 has been the focus of significant policy and research attention. The dramatic increase in subprime lending during this period has been broadly blamed for these market dynamics. In this paper we empirically investigate the validity of this hypothesis vs. several other alternative explanations. A model of house price dynamics over the period 1998–2006 is specified and estimated using a cross-sectional time-series data base across 20 metropolitan areas over the period 1998–2006. Results suggest that prior to early 2004, economic fundamentals provide the primary explanation for house price dynamics. Subprime credit activity does not seem to have had much impact on subsequent house price returns at any time during the observation period, although there is strong evidence of a price-boosting effect by investor loans. However, we do find strong evidence that a credit regime shift took place in late 2003, as the GSE’s were displaced in the market by private issuers of new mortgage products. Market fundamentals became insignificant in affecting house price returns, and the price-momentum conditions characteristic of a “bubble” were created. Thus, rather than causing the run-up in house prices, the subprime market may well have been a joint product, along with house price increases, (i.e., the “tail”) of the changing institutional, political, and regulatory environment characteristic of the period after late 2003 (the “dog”).     

Housing, credit, and real activity cycles: Characteristics and comovement

This paper describes the characteristics and comovement of cycles in house prices, residential investment, credit, interest rates, and real activity in advanced economies during the past 25 years. Stylized facts and regularities are uncovered using a dynamic generalized factor model and spectral techniques. House price cycles are found to lead credit and real activity over the long term, while in the short to medium term the relationship varies across countries. Interest rates tend to lag other cycles at all time horizons. Although global factors are important, the US business cycle, housing cycle and interest rate cycle generally lead the respective cycles in other countries over all time horizons, while the US credit cycle leads mainly over the long term.     

The Valuation of Real Capital: A Random Walk down Kungsgatan

This paper analyzes the temporal pattern of prices for single-family housing. We estimate models of house price dynamics using a repeat sales framework, and we use the results to test for a random walk in asset prices. For eight large samples of housing transactions, representing essentially all house sales in Sweden during a 12-year period, we reject the hypothesis that house prices follow a random walk in favor of a model of first-order serial correlation.