Multiparticle Correlations at LEP1

Bidding farewell to the LEP accelerator, we acknowledge that an essential part of its legacy is the immense amount of data collected during 5 years of the LEP1 stage, at the Z peak. This set of data allows for detailed studies of many phenomena, and particularly, of the final state interactions between hadrons. Presented here is a review of the most recent analyses in this area.Comment: 6 pp, 4 figs, talk presented at the XXX International Symposium on Multiparticle Dynamics, October 9-15, 2000, Tihany, Hungar

Impact of Cross-listing on Local Stock Returns: Case of Russian ADRs

The paper examines the impact of American Depositary Receipt (ADR) listings on the return of the underlying Russian stocks. The contribution of this paper is twofold. First, it looks at a new sample of ADRs issued by Russian companies. Second, the technique used to estimate the market model is different from the previous studies. The returns are modeled to follow GARCH process, as opposed to the regular OLS procedure, which assumes homoscedasticity in residual returns. Average abnormal returns and cumulative average abnormal returns are calculated for the [-25, +25] event window, with the ADR listing date being the event date. The results indicate a significant negative abnormal local market return on an ADR listing day. The return volatilities after the listing are compared to those before the listing. Eleven out of sixteen companies experienced increased volatility of local returns after the cross-listing.http://deepblue.lib.umich.edu/bitstream/2027.42/40077/3/wp691.pd

Re-employment Probabilities and Wage Offer Function for Russian Labor Market

This research addresses labor market transformation in Russia. It elaborates on the theory of job search and focuses on the following issues: (1) evaluation of the re-employment probabilities (hazard rates) for different socio-economic groups; and (2) estimation of wage offer distribution for the transforming labor market. We use data from Phase II of the Russia Longitudinal Monitoring Survey (RLMS) to estimate the employment and wage offer functions for Russian workers who found a job after having been unemployed. We take into account the effectiveness of search strategies used and correct for truncation in wage offers. The binomial logit-OLS estimation method with sample selection bias correction on pooled data from Rounds 5-9 of RLMS is used. The factors considered are sex, education, experience, sector of employment and search methods’ success rate, which are hypothesized to capture the main determinants of job search behavior. The results show that individual characteristics, as well as the search method used, play a decisive role in the re-employment prospects of the unemployed. The private sector employment level is estimated to have the most powerful positive effect on the wage offer function. Russian women are less likely than men to find a job after being unemployed, and wage offers for women are estimated to be lower than for men.http://deepblue.lib.umich.edu/bitstream/2027.42/39932/3/wp547.pd

Impact of Cross-listing on Local Stock Returns: Case of Russian ADRs

The paper examines the impact of American Depositary Receipt (ADR) listings on the return of the underlying Russian stocks. The contribution of this paper is twofold. First, it looks at a new sample of ADRs issued by Russian companies. Second, the technique used to estimate the market model is different from the previous studies. The returns are modeled to follow GARCH process, as opposed to the regular OLS procedure, which assumes homoscedasticity in residual returns. Average abnormal returns and cumulative average abnormal returns are calculated for the [-25, +25] event window, with the ADR listing date being the event date. The results indicate a significant negative abnormal local market return on an ADR listing day. The return volatilities after the listing are compared to those before the listing. Eleven out of sixteen companies experienced increased volatility of local returns after the cross-listing.finance, Russia, international cross-listings, ADRs