Entry dynamics of self-employment in South Korea

The purpose of this paper is to clarify whether the entry into self-employment was an inevitable move due to economic recession (push hypothesis) or a voluntary move due to entrepreneurship (pull hypothesis) in Korea. It also examines how this decision is affected by changes in socio-economic conditions. The empirical analysis in this study exploited the matched sample for the adjacent months in the Economically Active Population Survey (EAPS) conducted by Korea National Statistical Office in 2000–2004. The empirical results showed that the push aspect of self-employment was strong in Korea over the whole sampled periods. The entry into self-employment in South Korea is largely attributable to economic sluggishness and an increase in unemployment rather than a voluntary transition resulting from entrepreneurship. Policy environment (such as providing information and financial support for new start-ups after the Asian financial crisis), which is a country-specific factor magnified the pushed effects. For the pushed (unprepared) self-employed people, not only is there a need to expand the coverage of vocational training programmes, but also it is vital that social safety nets are strengthened and supplemented.     

A Daunting Task in Asia

Abstract

This article deals with the question of how to transform the public sector in Asia towards transparency and accountability. What are the main challenges and constraints in promoting transparency and accountability? What kind of strategies can we suggest to enhance and sustain transparency and accountability? It will start with the introduction, including environmental changes in public affairs, and a brief overview of transparency and accountability. Then it will look at what major challenges and constraints there are in enhancing transparency and accountability. This will be followed by a discussion of key strategies for the transformation and sustainability of transparency and accountability for further development in the Asian public sector.     

Corporate hyperlink network relationships in global corporate social responsibility system

This study analyzed the hyperlink (co-link) network structure among companies in global Corporate Social Responsibility (CSR) system. This study measured network variables such as density and centrality, including degree centrality, eigenvector centrality, closeness, and betweenness. The results indicated that European companies had relatively central roles in the global CSR system. In addition the higher performing companies are more active their CSR practices. Also, the results revealed that the industrial type of companies was not significantly associated with its CSR practices.     

How entrenched managers beat earnings expectations before and after SOX

This study investigates the relationship between managerial entrenchment and how firms meet or beat earnings forecasts. It further examines whether this relationship changes before and after the Sarbanes–Oxley Act (SOX). We find that, in the pre-SOX era, entrenched managers meet or exceed analyst forecasts more often than their unentrenched counterparts when analysts’ initial forecasts are high. This is mainly due to the drop in analysts’ consensus rather than earnings management. These results nearly disappear in the post-SOX era.     

The Antonelli Versus Hicks Elasticity of Complementarity and Inverse Input Demand Systems

A true measure of input substitution associated with exogenous changes in input quantities requires that the output level be held constant. To this effect, this study presents the Antonelli elasticity of complementarity characterised by the distance function. The more common Hicks elasticity of complementarity assumes that marginal cost is constant and hence does not capture pure substitution effects. The two elasticities of complementarity are related to inverse demand systems and are shown to be equivalent under constant returns to scale. A framework for estimating the Antonelli elasticity from the uncompensated demand system is presented. Estimation results reveal substantial bias of input substitutability with the use of Hicks' measure.     

The effect of reporting errors on the cross-country relationship between inequality and crime

This paper analyzes reporting errors in crime data to see how they impact econometric estimates, particularly of the key relationship between inequality and crime. Criminal victimization surveys of 140,000 respondents in 37 industrial, transition and developing countries are used. Comparing the crimes experienced by these respondents with those reported to the police, non-random and mean-reverting errors are apparent. Time-varying factors affect the propensity of victims to report crimes to the police, undermining the use of country-specific fixed effects as a means of dealing with measurement error in official crime data. These errors substantially attenuate both cross-sectional and panel estimates of the partial correlation between inequality and crime.     

What drives racial segregation? New evidence using Census microdata

Using restricted Census microdata that link households to the Census block in which they live, this paper re-examines the question of whether racial differences in sociodemographic characteristics can explain observed levels of racial segregation. We develop a simple measurement framework designed to make use of the rich joint distribution of individual and neighborhood characteristics that these data provide, analyzing segregation patterns in the San Francisco Bay Area. The results indicate that racial differences in the collective set of characteristics we consider do have the potential to explain a considerable amount of the observed segregation, although more so for Asians and especially Hispanics than whites and blacks. Different sociodemographic factors emerge as potentially important for each race.     

Premia for correlated default risk

Using data on corporate default experience in the U.S. and market rates of CDX index and tranche swaps of various maturities, we estimate reduced-form models of correlated default timing in the CDX High Yield and Investment Grade portfolios under actual and risk-neutral probabilities. The striking contrast between the estimated processes followed by the actual and risk-neutral arrival intensities of defaults, and between the parameters governing the actual and risk-neutral dynamics of the risk-neutral intensities, indicates the presence of substantial default risk premia in CDX swap market rates. The effects of risk premia on swap rates covary strongly across maturities, and depend on general stock market volatility and several measures of credit spreads. Large moves in the effects of these premia on swap rates have natural interpretations in terms of economic and financial market developments during the sample period, April 2004 to October 2007. Our results suggest that a large portion of the movements in CDX swap market rates observed during the sample period may be caused by changing attitudes toward correlated default risk rather than changes in the economic factors affecting the actual risk of clustered defaults, which ultimately governs swap payoffs.     

Maximum likelihood estimation for vector autoregressions with multivariate stochastic volatility

This paper analyzes the maximum likelihood estimation for vector autoregressions with stochastic volatility. The stochastic volatility is modeled following Uhlig (1997). The asymptotic distribution of the maximum likelihood estimate is discussed under mild regularity conditions. The maximum likelihood estimate can be obtained via an iterative method. In that case, the maximum likelihood estimate becomes the iteratively reweighted least squares estimate analyzed in Rubin (1983). The iteratively reweighted least squares estimate is computationally much simpler than the Bayesian method offered by Uhlig (1997).     

Inflation targeting and real exchange rates: A bias correction approach

This paper examines whether inflation targeting (IT) influences purchasing power parity (PPP) by a bias correction approach under cross-sectional dependence. The recursive mean adjustment (RMA) method proposed by So and Shin (1999) and Shin and So (2001) is employed to correct a downward bias in half-life estimates of real exchange rates. More importantly, the empirical results show that IT lowers variability of real exchange rates and plays an important role in providing favorable evidence for long-run PPP.