Estimating sectoral product quality under quality heterogeneity

This paper estimates product quality at the sectoral level using data from a panel of twelve manufacturing sectors in nineteen OECD countries during the years 1995–2006. The author first derives a gravity model from a firm-heterogeneity model of trade, then measures product quality as the residual of the gravity model. In estimating the gravity model, the author employs the two-step procedure of Helpman et al. (Q J Econ 123(2):441–487, 2008) to correct for biases caused by selection in trade and firm heterogeneity. When aggregated into the country level, the used overall quality metrics do not systematically differ from Hallak and Schott’s (Q J Econ 126(1):417–474, 2011). In line with existing literature, sectoral quality estimates are found positively correlated with sectoral unit prices as well as countries’ income per capita. And the quality gap between rich and poor countries is more pronounced in capital- and skill-intensive sectors. In addition, the autor finds beta- and sigma-convergence in sectoral product quality across countries.     

Do global financial crises validate assertions of fractal market hypothesis?

The frequent occurrence of crises in recent decades has triggered a debate between the proponents of Efficient market hypothesis and Fractal market hypothesis. While, the proponents of Efficient market hypothesis view crises as non-existent and highly improbable, the advocates of Fractal market hypothesis view crises as the dominance of certain investment horizons. We test whether the assertion of Fractal Market hypothesis regarding the dominance of certain frequencies during financial crises hold for the global stock markets. Following Kristoufek (Sci Rep 3:2857, 2013) the wavelet power spectra based on continuous wavelet framework are used to test the said hypothesis. It is shown that stock markets around the globe indicate the dominance of higher frequencies during the crises periods, hence, validate the assertions of Fractal market hypothesis. The results drawn are robust to the use of different countries as well as different crises.     

De Facto Exchange Rate Regime Classifications: An Evaluation

There exist several statistically-based exchange rate regime classifications that disagree with one another to a disappointing degree. To what extent is this a matter of the quality of the design of these schemes, and to what extent does it reflect the need to supplement statistics with other information (as is done in the IMF’s de facto classification)? It is shown that statistical methods are good at the basics (distinguishing some type of peg from some type of float), but less helpful in other respects, such as determining whether a float is managed, particularly for countries that are not very remote from their main trading partners. Different measures of exchange rate volatility have been used but are not primarily responsible for differences between classifications. The theoretical underpinning of particular classification schemes needs to be more explicit.     

Panel Data Analysis of Regional Differentials in the Registered Voter Turnout Rate and the Expected Benefits of Voting for Minorities

Voter participation rates vary widely across the 50 states. We seek to identify a source of this interstate variation, focusing upon the 2000, 2004, 2008, and 2012 general elections. Of note is that the latter two general elections featured a minority (i.e., African-American) nominee for president from one of the major political parties. Within the context of the rational voter model, we hypothesize that the presence of a minority candidate atop the ticket will boost minorities’ expected net benefits from voting, with the result that minority voter participation will be higher. Based on cross-sectional fixed-effects estimations, we find that states’ voter participation rates were unaffected by the percent of the population that was either African-American or Hispanic for the 2000 and 2004 election cycles, while states’ voter participation rates were positively related to the percent of the population that was either African-American or Hispanic for the 2008 and 2012 election cycles.     

Measuring the Impact of Socio-Economic Factors on School Efficiency in Australia

This paper examines the productive efficiency of government schools in New South Wales (NSW) in Australia. The study uses a technical inefficiency effects model applied to a unique three-year panel dataset containing 1235 primary and 371 secondary schools in NSW. A stochastic frontier production function and an inefficiency effects function that control for school socioeconomic and environmental factors are estimated. The dataset contains information on various school inputs, school expenditures by major functional area, parental socioeconomic characteristics, student characteristics, and standardized test scores. We examine the degree to which school and non-school educational inputs influence student achievement scores and find that, overall, primary schools are 88.6% and secondary schools 96.4% efficient. The index describing community socio-educational advantage has the most significant influence on students’ achievement scores.     

The Interaction of Financial Attitudes and Financial Knowledge: Evidence for Low-Income Hispanic Families

We add to the literature on the association of financial knowledge and financial attitudes with financial outcomes by focusing on predominantly low-income Hispanic families. We examine (i) saving for emergencies, for college, and in 401(k) plans, and (ii) ownership of a home, land or rental property, and an investment account. We find that financial knowledge is strongly related to our savings measures and to owning an investment account. Financial attitudes play less of a role, but assume some importance when interacted with financial knowledge. Self-reported financial knowledge in addition to factual financial knowledge is associated with favorable financial outcomes. Our results are important for the upward economic mobility of a demographic group that has received less attention in the literature.     

A panel data analysis of code-sharing,antitrust immunity,and open skies treaties in international aviation markets

This paper estimates the effects of code-sharing, antitrust immunity, and Open Skies treaties on prices, output, and capacity using an eleven-year panel of U.S.-Europe data. Code-sharing and immunized alliances are found to have significantly lower prices than does traditional interline (multi-carrier) service, but the effects are smaller in magnitude than those found in previous results that rely on cross-sectional data. Statistical tests that prices for immunized alliance service are equal to online (single carrier) service often cannot be rejected, providing additional evidence that immunity grants allow immunized carriers to internalize a double marginalization problem. Estimated output effects, consistent with the price effects, show that alliances are associated with large increases in passenger volumes. Lastly, estimates suggest that capacity expansions associated with “Open Skies” treaties are due entirely to expansion by immunized carriers on routes between their hubs. I would like to thank the editor and an anonymous referee for their helpful comments. The views expressed in this paper do not reflect those of the US Department of Justice. All errors are my own     

Data driven rank test for the change point problem

Data driven test procedure for detection of change is introduced and its properties are studied. The new solution is max-type statistic related to data-driven rank tests for two-sample subproblems. Simulations show that the new test possesses high and stable power. The test is consistent at essentially any alternative. Asymptotic null distribution of the test is derived. The work of the first two authors has been partially supported by the grants GAČR 201/06/0186 and MSM 02160839.