Art market pricing in emerging economies
Taisia Pimenova, Valeria Kolycheva, Alexander Semenov, and Dmitry Grigoriev have published the article «Art pricing in the emerging markets: An empirical analysis» in Emerging Markets Review . The paper presents an empirical analysis of the impact of public sentiment expressed on social media on artwork prices in emerging markets. Using a dataset of 3,282 paintings by Russian and Chinese artists, the authors demonstrate that both positive and negative public opinion significantly affect prices, while also identifying the moderating roles of collectors' investment intentions and geopolitical risk.
Bayesian Adaptive Sparse Copula: Tackling the Curse of Dimensionality in Multivariate Data
Martin Burda and Artem Prokhorov have published the article «Bayesian Adaptive Sparse Copula» in the Journal of Computational and Graphical Statistics. The paper introduces a new approach to Bayesian nonparametric estimation of multivariate densities. The authors propose a random Bernstein polynomial prior augmented with a spike-and-slab shrinkage structure, which preserves the advantages of multiscale decision tree methods while alleviating the curse of dimensionality.
Treatment effects under endogeneity and non-random selection: Estimating the impact of stress on addictive substance use
Anastasia Gergenreter has published an article «Estimation of treatment effects on ordinal variables in multivariate ordered choice models» in Applied Econometrics . The study offers a fresh perspective on estimating treatment effects for ordinal outcomes in settings where non-random selection is present and the conditional independence assumption no longer holds.
Family Matters: New Research Reveals How Children Transform Women’s Labor Supply Decisions
A research team comprising Sofiia Dolgikh and Bogdan Potanin has published a paper titled “Fertility and labor supply in Mexico” in the Journal of Economic Studies. The article estimates wage elasticities of labor supply of Mexican married women with different numbers of children and analyzes the treatment effect of fertility on labor supply of these women.
New Method for Pinpointing Breaks in Economic Trends
Researchers from the Centre for Big Data in Economics and Finance have developed a new method for accurately identifying structural breaks in economic and financial time series. Their paper, "Change-Point Detection in Time Series Using Mixed Integer Programming," introduces a framework based on Mixed Integer Optimization (MIO).