nep-cul New Economics Papers
on Cultural Economics
Issue of 2020‒12‒14
five papers chosen by
Roberto Zanola
Università degli Studi del Piemonte Orientale

  1. National or Local? The Demand for News in Italy during Covid-19 By Stefano Castriota; Marco Delmastro; Mirco Tonin
  2. Pricing the Information Quantity in Artworks By Lan Ju; Zhiyong Tu; Changyong Xue
  3. Exploiting network information to disentangle spillover effects in a field experiment on teens' museum attendance By Silvia Noirjean; Marco Mariani; Alessandra Mattei; Fabrizia Mealli
  4. Creativity and Entrepreneurship: An Exploratory Multiple Case Study of What Entrepreneurs Think By , AISDL
  5. Lights, Camera, What Action? The Nascent Literature on the Economics of US State Film Incentives By Rickman, Dan; Wang, Hongbo

  1. By: Stefano Castriota; Marco Delmastro; Mirco Tonin
    Abstract: Looking at TV news viewership in Italy during the COVID-19 pandemic using actual consumption data, we investigate whether demand for national and local news depends on national or local epidemiological developments, as measured by the number of new positives or the number of currently positives in any given day. Exploiting the fact that the seriousness of the pandemic displays a great deal of variation among the different regions, we find that at the regional level demand for both national news and, more surprisingly, local news responds to the national epidemiological developments rather than to the local ones. This has implications for the incentives faced by local politicians to take preventive action.
    Keywords: news, local news, TV, Covid-19
    JEL: D12 L82
    Date: 2020
  2. By: Lan Ju; Zhiyong Tu; Changyong Xue
    Abstract: In the traditional art pricing models, the variables that capture the painting's content are often missing. Recent research starts to apply the computer graphic techniques to extract the information from the painting content. Most of the research concentrates on the reading of the color information from the painting images and analyzes how different color compositions can affect the sales prices of paintings. This paper takes a different approach, and tries to abstract away from the interpretation of the content information, while only focus on measuring the quantity of information contained. We extend the concept of Shannon entropy in information theory to the painting's scenario, and suggest using the variances of a painting's composing elements, i.e., line, color, value, shape/form and space, to measure the amount of information in the painting. These measures are calculated at the pixel level based on a picture's digital image. We include them into the traditional hedonic regression model to test their significance based on the auction samples from two famous artists (Picasso and Renoir). We find that all the variance measurements can significantly explain the sales price either at 1% or 5% level. The adjusted R square is also increased by more than ten percent. Our method greatly improves the traditional pricing models, and may also find applications in other areas such as art valuation and authentication.
    Date: 2020–11
  3. By: Silvia Noirjean; Marco Mariani; Alessandra Mattei; Fabrizia Mealli
    Abstract: Nudging youths to visit historical and artistic heritage is a key goal pursued by cultural organizations. The field experiment we analyze is a clustered encouragement design (CED) conducted in Florence (Italy) and devised to assess how appropriate incentives assigned to high-school classes may induce teens to visit museums in their free time. In CEDs, where the focus is on causal effects for individuals, interference between units is generally unavoidable. The presence of noncompliance and spillover effects makes causal inference particularly challenging. We propose to deal with these complications by creatively blending the principal stratification framework and causal mediation methods, and exploiting information on interpersonal networks. We formally define principal natural direct and indirect effects and principal controlled direct and indirect effects, and use them to disentangle spillovers from other causal channels. The key insights are that overall principal causal effects for sub-populations of units defined by the compliance behavior combine encouragement, treatment and spillovers effects. In this situation, a synthesis of the network information may be used as a possible mediator, such that the part of the effect that is channeled by it can be attributed to spillovers. A Bayesian approach is used for inference, invoking latent ignorability assumptions on the mediator conditional on principal stratum membership.
    Date: 2020–11
  4. By: , AISDL
    Abstract: The purpose of this exploratory, quantitative and qualitative case study (Yin 1994) is to examine the importance of creativity in entrepreneurship. Is it creativity that leads to entrepreneurial success, or are there factors of entrepreneurial creativity, such as “opportunity recognition,” “programmatic implementation,” and “building networks,” which comprise creativity? Or perhaps creativity stands alone and is separate from the three factors? A review of selected literature on the relationship between creativity and entrepreneurship suggests that creativity is in part pre-cognitive, as well as cognitive processing as described in much of the entrepreneurial literature. This suggests that the above described factors may not be easily identifiable as creativity at all, but may in fact be equally or more important to entrepreneurship than creativity itself. Our findings are consistent with the latter idea, suggesting that even if entrepreneurial activities should theoretically be considered a creative output, entrepreneurs in our study don’t see it that way. Instead they seem to see creativity as separate from those entrepreneurial activities: opportunity recognition, programmatic implementation, and building networks.
    Date: 2019–05–01
  5. By: Rickman, Dan; Wang, Hongbo
    Abstract: The widespread proliferation of US state incentives for film and television production led to a large number of evaluations of their economic impacts. The common assumption by economic impact studies that state and film production would not occur without the incentives has spurred interest in the academic literature. We review the academic empirical studies on the nexus between state incentives and economic activity in the film and television sector. We identify areas of strengths and weakness in the empirical literature and perform additional analysis of numerous states using the synthetic control method to fill in gaps of knowledge. An added contribution of the study is discussion of the economics of the empirical results that mostly is missing in the film incentive literature.
    Keywords: Film; Incentives; Synthetic Control Method
    JEL: H25 H71 R12 R58
    Date: 2020–12–02

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