Consumer Demand for Telecasts of Tennis Matches in Germany

2015 ◽  
Vol 18 (4) ◽  
pp. 351-375 ◽  
Author(s):  
Mara Konjer ◽  
Henk Erik Meier ◽  
Katrin Wedeking
Keyword(s):  
Empirical Research ◽  
Consumer Demand ◽  
Data Set ◽  
Unique Data ◽  
On Demand ◽  
Live Broadcast ◽  
Individual Sports ◽  
Industry Needs ◽  
Sport Economics

The research presented here aims to fill the existing gap in empirical research on demand for individual sports. A unique data set on audiences for live broadcast tennis matches from Germany, as Europe’s biggest and most competitive TV market, is analyzed. The results indicate that canonical approaches of empirical sport economics can be fruitfully applied to individual sports. Consumers prefer prestigious competitions, relevant matches, highly ranked, and German players. The findings suggest that the German tennis industry needs to provide national tennis stars in order to revitalize the interest of major networks and audiences.

scholarly journals Microfinance and Vulnerability to Seasonal Famine in a Rural Economy: Evidence from Monga in Bangladesh

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Claudia Berg ◽  
M. Shahe Emran
Keyword(s):  
Food Security ◽  
Rural Economy ◽  
Screening Process ◽  
Data Set ◽  
Estimation Strategy ◽  
Positive Effects ◽  
Unique Data ◽  
Primary Mechanism ◽  
Poor Households ◽  
Microfinance Institution

AbstractThis paper uses a unique data set on 143,000 poor households from Northern Bangladesh to analyze the effects of microfinance membership on a household’s ability to cope with seasonal famine known as Monga. We develop an identification and estimation strategy that exploits a jump and a kink at the 10-decimal land ownership-threshold driven by the Microfinance Institution screening process to ensure repayment by excluding the ultra-poor. Evidence shows that microfinance membership improves food security during Monga, especially for the poorest households who survive at the margin of one and two meals a day. The positive effects on food security are, however, not driven by higher income, as microcredit does not improve the ability to migrate for work, nor does it reduce dependence on distress sale of labor. The evidence is consistent with consumption smoothing being the primary mechanism behind the gains in food security of MFI households during the season of starvation.

scholarly journals Microfinance and Vulnerability to Seasonal Famine in a Rural Economy: Evidence from Monga in Bangladesh

2020 ◽  
Vol 20 (3) ◽  
Author(s):  
Claudia Berg ◽  
M. Shahe Emran
Keyword(s):  
Food Security ◽  
Rural Economy ◽  
Screening Process ◽  
Data Set ◽  
Estimation Strategy ◽  
Positive Effects ◽  
Unique Data ◽  
Primary Mechanism ◽  
Poor Households ◽  
Microfinance Institution

AbstractThis paper uses a unique data set on 143,000 poor households from Northern Bangladesh to analyze the effects of microfinance membership on a household's ability to cope with seasonal famine known as Monga. We develop an identification and estimation strategy that exploits a jump and a kink at the 10 decimal land ownership-threshold driven by the Microfinance Institution (MFI) screening process to ensure repayment by excluding the ultra-poor. Evidence shows that microfinance membership improves food security during Monga, especially for the poorest households who survive at the margin of one and two meals a day. The positive effects on food security are, however, not driven by higher income, as microcredit does not improve the ability to migrate for work, nor does it reduce dependence on distress sale of labor. The evidence is consistent with consumption smoothing being the primary mechanism behind the gains in food security of MFI households during the season of starvation.

How Much Do Consumers Value Fuel Economy and Performance? Evidence from Technology Adoption

2021 ◽  
pp. 1-45
Author(s):  
Benjamin Leard ◽  
Joshua Linn ◽  
Yichen Christy Zhou
Keyword(s):  
Fuel Economy ◽  
Cost Savings ◽  
Data Set ◽  
Fuel Savings ◽  
Unique Data ◽  
Consumer Benefit ◽  
Novel Approach ◽  
High Valuation ◽  
And Performance ◽  
Historical Periods

Abstract During historical periods in which US fuel economy standards were unchanging, automakers increased performance but not fuel economy, contrasting with recent periods of tightening standards and rising fuel economy. This paper evaluates the welfare consequences of automakers forgoing performance increases to raise fuel economy as standards have tightened since 2012. Using a unique data set and a novel approach to account for fuel economy and performance endogeneity, we find undervaluation of fuel cost savings and high valuation of performance. Welfare costs of forgone performance approximately equal expected fuel savings benefits, suggesting approximately zero net private consumer benefit from tightened standards.

scholarly journals Farm Gate Prices for Non-Varietal Wine in Argentina: A Multilevel Comparison of the Prices Paid by Cooperatives and Investor-Oriented Firms

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Agustina Malvido Perez Carletti ◽  
Markus Hanisch ◽  
Jens Rommel ◽  
Murray Fulton
Keyword(s):  
Multilevel Regression ◽  
Data Set ◽  
Unique Data ◽  
Market Shares ◽  
Price Effects ◽  
Theoretical Predictions ◽  
The One ◽  
The Cost ◽  
Price Differences ◽  
Multilevel Regression Model

AbstractIn this paper, we use a unique data set of the prices paid to farmers in Argentina for grapes to examine the prices paid by non-varietal wine processing cooperatives and investor-oriented firms (IOFs). Motivated by contrasting theoretical predictions of cooperative price effects generated by the yardstick of competition and property rights theories, we apply a multilevel regression model to identify price differences at the transaction level and the departmental level. On average, farmers selling to cooperatives receive a 3.4 % lower price than farmers selling to IOFs. However, we find cooperatives pay approximately 2.4 % more in departments where cooperatives have larger market shares. We suggest that the inability of cooperatives to pay a price equal to or greater than the one paid by IOFs can be explained by the market structure for non-varietal wine in Argentina. Specifically, there is evidence that cooperative members differ from other farmers in terms of size, assets and the cost of accessing the market. We conclude that the analysis of cooperative pricing cannot solely focus on the price differential between cooperatives and IOFs, but instead must consider other factors that are important to the members.

scholarly journals Awards

2008 ◽  
Vol 216 (4) ◽  
pp. 198-208 ◽  
Author(s):  
Bruno S. Frey ◽  
Susanne Neckermann
Keyword(s):  
Unique Combination ◽  
Data Set ◽  
For Profit ◽  
Unique Data ◽  
Private Organizations ◽  
Not For Profit ◽  
Nonmonetary Rewards ◽  
Scientific Attention ◽  
Vignette Experiment

Awards in the form of orders, decorations, prizes, and titles are ubiquitous in monarchies and republics, private organizations, not-for-profit, and profit-oriented firms. This paper argues that awards present a unique combination of different stimuli and that they are distinct and unlike other monetary and nonmonetary rewards. Despite their relevance in all areas of life, awards have not received much scientific attention. Employing a unique data set, we demonstrate that there are substantial differences in the frequency of awards across countries. Moreover, we present the results of a vignette experiment that quantifies and isolates the effects of different award characteristics such as the publicity associated with winning an award.

scholarly journals An Economic Examination of Collateralization in Different Financial Markets

2019 ◽  
Author(s):  
Tim Xiao
Keyword(s):  
Risk Factors ◽  
Credit Risk ◽  
Financial Markets ◽  
Counterparty Risk ◽  
Financial Contracts ◽  
Theoretical Justification ◽  
Data Set ◽  
Unique Data ◽  
Economic Significance ◽  
The Difference

This paper attempts to assess the economic significance and implications of collateralization in different financial markets, which is essentially a matter of theoretical justification and empirical verification. We present a comprehensive theoretical framework that allows for collateralization adhering to bankruptcy laws. As such, the model can back out differences in asset prices due to collateralized counterparty risk. This framework is very useful for pricing outstanding defaultable financial contracts. By using a unique data set, we are able to achieve a clean decomposition of prices into their credit risk factors. We find empirical evidence that counterparty risk is not overly important in credit-related spreads. Only the joint effects of collateralization and credit risk can sufficiently explain unsecured credit costs. This finding suggests that failure to properly account for collateralization may result in significant mispricing of financial contracts. We also analyze the difference between cleared and OTC markets.

Does credit market inefficiency affect technology adoption? Evidence from Sub-Saharan Africa

2016 ◽  
Vol 76 (4) ◽  
pp. 494-511 ◽  
Author(s):  
Abdul-Hanan Abdallah
Keyword(s):  
Technology Adoption ◽  
Credit Market ◽  
Sub Saharan Africa ◽  
Food Crops ◽  
Agricultural Technologies ◽  
Data Set ◽  
Content Type ◽  
Unique Data ◽  
Market Inefficiency ◽  
Sub Saharan

Purpose The purpose of this paper is to investigate factors affecting the adoption of agricultural technologies in Sub-Saharan Africa, specifically the role of credit market inefficiency in adoption of agricultural technologies in the region. Design/methodology/approach Most importantly, the paper applies a 2SLS model on a unique data set on nine agrarian countries from Sub-Saharan Africa’s intensification of food crops agriculture (Afrint) to provide evidence on how credit market inefficiency affects adoption of technologies in the sub region. Findings The study finds that the relationship between credit and technology adoption is one-way causal relation (i.e. credit access leads to technology adoption) as opposed to a two-way relation (i.e. mutual dependent relation). Further, the results indicate that credit market inefficiency can be a major barrier to the adoption of yield enhancing technologies in Sub-Saharan Africa. Further, the study showed mixed results for household variables. The results give credence to studies that highlight the importance of infrastructure and risk control in the adoption of new technologies. Research limitations/implications The study is limited to only nine countries in Sub-Saharan Africa. Thus, the findings and interpretations should be considered as such. Further, there is the need for further research that considers all the region so as to establish whether or not there is a relationship between credit market inefficiencies and technology adoption in the region. Practical implications The policy implication is that microfinance institutions should consider scaling up their credit services to ensure that more households benefit from it, and in so doing technology adoption will be enhanced. Originality/value The main contribution of the study lies in its use of a unique data set from Sub-Saharan Africa’s intensification of food crops agriculture (Afrint) to investigation relationship between credit market inefficiency and technology adoption.

Economics of savings-based finance: an interest-free model of rotating savings and credit association in Turkey

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusuf Dinç ◽  
Rashed Jahangir ◽  
Ruslan Nagayev ◽  
Fahrettin Çakır
Keyword(s):  
Financial Market ◽  
Design Methodology ◽  
Data Set ◽  
Content Type ◽  
Unique Data ◽  
Credit Associations ◽  
Free Model ◽  
Savings And Credit Associations ◽  
Financing And Investment ◽  
Credit Association

Purpose The emerging markets have been witnessing a remarkable revival of rotating savings and credit associations (ROSCAs) serving as alternative informal financing and investment platforms, also known as savings-based finance (SBF) in Turkey. The purpose of this study is to present the SBF model mathematically, analyse the performance of the SBF sector and propose a new Sharīʿah-compliant SBF model for the acquisition of durables. Design/methodology/approach The paper thoroughly reviews the concept and practice of ROSCA across the globe, mathematically models and empirically analyses the performance of Turkish SBF companies using a unique data set. Findings The study formulates a two-person SBF model and proposes a Mudarabah-Wakalah hybrid model with a new investment feature. It is found that the concept of ROSCA is being operationalized in 105 countries across the globe under different names with slight business model modifications. The research also reveals that the demand for financing of durables in Turkey significantly increased in recent years with the demand for housing is twice greater compared to vehicles. Most importantly, a strong significant inter- and intra-comovement is observed between these durables implying that the success of the sector in one segment has attracted the customers to other SBF products. It shows that the SBF institutions can effectively serve as the alternative financing houses for pooling savings and financing the durables, and they have strong potential to capture a larger financial market share in Turkey and even globally. Originality/value The study constructs mathematical models and proposes a new investment wing to an existing SBF wealth fund.

Marketplace Lending, Information Aggregation, and Liquidity

2020 ◽  
Author(s):  
Julian Franks ◽  
Nicolas Serrano-Velarde ◽  
Oren Sussman
Keyword(s):  
Information Aggregation ◽  
Data Set ◽  
Information Efficiency ◽  
Liquidity Shocks ◽  
Unique Data ◽  
Retail Investors ◽  
Over Time

Abstract Lending marketplaces aimed at directly connecting retail lenders and borrowers retreat from auctions and, instead, set prices and allocate credit on their own, despite evidence that retail investors possess valuable soft and nonstandard information. We investigate this puzzle by analyzing a unique data set of 7,455 auctions and 34 million bids from a leading British peer-to-business platform. We find that the platform was vulnerable to liquidity shocks, resulting in sizable deviations from information efficiency. Deviations increased over time because of a growing role played by noncrowd players, particularly large investors and algorithms.

scholarly journals For Whom and by Whom Children Are Named: Family Involvement in Contemporary Japanese Naming Practices

Genealogy ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 29
Author(s):  
Giancarla Unser-Schutz
Keyword(s):  
Family Involvement ◽  
Chinese Character ◽  
Common Elements ◽  
Data Set ◽  
Family Structures ◽  
Personal Names ◽  
Unique Data ◽  
Parents And Children ◽  
Older Siblings ◽  
Naming Practices

In pre-modern Japanese naming practices, familial relationships were frequently demonstrated systematically through personal names, but with changing lifestyles, family structures and naming trends, such systematic ways of creating familial ties through personal names have largely been lost. However, personal names may still express familial ties, but in different ways than in previous times. To consider this, this article utilizes a unique data set of 303 messages in municipal newsletters from parents about how they chose their child’s name, focusing on who was listed as choosing the name; whom the child was named for; and common elements within parent–child pairs and sibling sets. Parents themselves were most frequently noted to have selected the name, followed by the child’s older siblings; in comparison, grandparents were listed rarely. The use of a shared kanji ‘Chinese character’ between parents and children was also not common; however, it was more frequently observable in siblings’ names. Although the data set is small in size, the data strongly suggests that contemporary families are focused more on creating intragenerational connections between siblings, rather than intergenerational familial ties, which may be a result of the nuclearization of contemporary families.

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