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Banks are intermediary institutions that play an important role in accelerating economic growth. Therefore, banks need to implement policies to improve the efficiency and quality of digital finance, namely through the Extensible Business Reporting Language (XBRL), which developed amid Society 5.0. However, the application of XBRL does not completely rule out the possibility of information asymmetry. Therefore, this study aims to analyze the effect of Extensible Business Reporting Language (XBRL) on asymmetric information with corporate disclosure as a moderating variable (expected to reduce information asymmetry) and analyze the effect of XBRL and control variables (size, turnover, stock price) on information asymmetry. The sample used is conventional banks that have been listed on the IDX and are not delisted, from 2015, since the implementation of XBRL until 2019 using the panel data regression method. The results obtained are that information asymmetry decreases with the application of XBRL, where corporate disclosure is a moderating variable. For the results of the control variable, the larger the size, the less information asymmetry and turnover. As for the stock price, the higher the stock price, the higher the information asymmetry.

We propose a simple model consisting of two separated markets: the market for good y and the market for good x. Purchasing information about consumer behavior in the former market helps the monopolist firm, in the latter market, to price-discriminate. Consumers differ in their income and in their level of myopia. Personal data market regulation could both increase consumers' awareness about the treatment of their data and allow them to have their data erased from the data holder. We find that the former aspect of the policy reduces the number of transactions, and hence tends to reduce total surplus, while the second typically boosts willingness to pay of consumers and has positive effects on surplus, provided that the share of high-income consumers is not too high. The overall effect of regulation on total welfare depends on the share of high-income and myopic consumers.

We investigate whether giving workers autonomy through delegation of contract choice intrinsically motivates effort. In a novel laboratory experiment that controls for contract preferences and outcomes, principals can either choose the contract under which agents work on a real-effort task, or delegate the contract choice to the agents. We evaluate whether agents exert higher effort when they are allowed to choose the contract versus when the contract is imposed on them. We find no difference between the two conditions, even after controlling for baseline ability and for locus of control. Because our design excludes the possibility that preferences play a role, and because workers engaged in a real-effort task, this result casts doubt on an intrinsic link between the autonomy granted through delegation and the motivation of employees in the workplace. Our results do not deny, however, the possible instrumental benefits of autonomy (which did not play a role in our design) and their potentially powerful impact on motivation.

One of the noteworthy developments in the world economy is the cryptocurrency in general and the bitcoin in particular. Although several types of cryptocurrency are in operation in the current digital economy, the most prevalent is the bitcoin, which was launched formally in 2009 by an individual or group known under the pseudonym Satoshi Nakamoto. The value of bitcoin has increased to such an extend that it reached 19.7 billion US dollars by January 2, 2018 (Statista, 2018). As the bitcoin price touches a new high day by day, various terrorist organizations are using this cryptocurrency to anonymously finance their grotesque terrorist activities around the world by bypassing the surveillance mechanism of the banking system of the respective countries. Against this backdrop, this chapter aims to understand the mechanism of cryptocurrencies in general and the bitcoin in particular. Finally, it also endeavors to identify the trend of the bitcoin economy and its impact on nefarious activities in general and terrorism financing in particular. It has been revealed from the study that cryptocurrency economy has become so popular across the world that it has created an alternative virtual economy devoid of regulations from a specific country or a group of countries. By using vector error correction model (VECM), it had been observed that there exists a statistically significant long-run association between terrorist incidences and bitcoin transaction/circulation in the panel of 12 countries for 2010–2016. However, there is a huge concern over its way of operation and its unholy nexus with terrorism financing.

Despite the benefits of delegation, anecdotal and survey-based evidence suggests that firms do not optimally delegate decision-making authority. However, to date, no quantifiable evidence supports this claim.

We design an experiment to explore the superior’s choice between delegation and information elicitation. We also examine the effect of the superiors’ choice on the amount of effort provided by subordinates to gather decision-facilitating information.

We find that, compared to economic predictions, superiors delegate less often than they should. Subordinates exert lower effort when superiors elicit information than when superiors delegate the decision to them. As a result, superiors earn lower profit when they elicit information than when they delegate decision-making authority.

Our empirical evidence supports two main tenets espoused in the literature on the allocation of decision rights. First, the evidence of under delegation contributes to the literature which maintains that superiors’ tendency to under-delegate leads firms to become overly centralized.

By designing a novel experimental, we identify systematic ways in which behavior deviates from economic theory and contribute to the discussion on how firms utilize information. In particular, under delegation prevents firms from exploiting economies that arise from local capabilities and task specialization, and results in forgone profits.

This article analyzes the determinants of credit constraints and their effects on the productivity of micro-firms in Colombia.

An Endogenous Switching Regression Model (ESRM) is estimated to analyze credit constraint impact on economic performance.

The results show that owner characteristics such as age and gender decrease the likelihood of being constrained. Firms' characteristics, such as legal status, the formality of the employees, commercial property and savings, are important for reducing credit constraints.

This article discusses how formal credit restrictions harm the economic performance of Colombia's micro-firms. The results show that the productivity of the micro firms in Colombia could increase, on average, by U$ 825 USD when all types of restrictions are eliminated.

This study evaluates the Federal Reserve (Fed) initial and final forecasts of the unemployment rate for 1983Q1-2018Q4. The Fed initial forecasts in a typical quarter are made in the first month (or immediately after), and the final forecasts are made in the third month of the quarter. The analysis also includes the private forecasts, which are made close to the end of the second month of the quarter.

In evaluating the multi-period forecasts, the study tests for systematic bias, directional accuracy, symmetric loss, equal forecast accuracy, encompassing and orthogonality. For every test equation, it employs the Newey–West procedure in order to obtain the standard errors corrected for both heteroscedasticity and inherent serial correlation.

Both Fed and private forecasts beat the naïve benchmark and predict directional change under symmetric loss. Fed final forecasts are more accurate than initial forecasts, meaning that predictive accuracy improves as more information becomes available. The private and Fed final forecasts contain distinct predictive information, but the latter produces significantly lower mean squared errors. The results are mixed when the study compares the private with the Fed initial forecasts. Additional results indicate that Fed (private) forecast errors are (are not) orthogonal to changes in consumer expectations about future unemployment. As such, consumer expectations can potentially help improve the accuracy of private forecasts.

Unlike many other studies, this study focuses on the unemployment rate, since it is an important indicator of the social cost of business cycles, and thus its forecasts are of special interest to policymakers, politicians and social scientists. Accurate unemployment rate forecasts, in particular, are essential for policymakers to design an optimal macroeconomic policy.

This paper examines whether farmers' knowledge of the minimum support prices (MSPs) affects farm-gate prices. MSP is the minimum guaranteed price for agricultural commodities announced by the Government of India for 24 commodities. Most farmers in India prefer to sell their produce at the farm-gate due to a small marketable surplus and hence do not directly benefit from MSP. The authors test the common argument in the political discourse that if farmers have knowledge of MSP, then they can bargain with traders during the farm-gate transaction and demand a better price close to MSP.

The authors use matching methods to examine the impact of knowledge of MSP on farm-gate prices.

Using nationally representative data, the authors show that there is no empirical evidence that the knowledge of MSP of the crops leads to higher bargaining power and better farm-gate prices.

Price information (MSP in this case) alone cannot improve the bargaining power of farmers and result in a better price realization. As a safety net, MSP fails in the absence of procurement of products by the government. This also raises the question of the equitability of the price support system in India and calls for a rethink of the MSP policy.

This study is the first of its kind to examine the anchoring effect of knowledge of MSP on farm-gate prices using a nationally representative dataset.

This empirical study uses herd behavior model to explore the role of anchor investors in ensuring fundraising success and overfunding of crowdfunded ventures.

Qualitative comparative analysis (QCA) is applied to find the configurational patterns describing how anchor investors' information disclosure leads to successful financing and overfunding.

Even when the anchor investor's resume is not detailed or the anchor investor has little experience in entrepreneurial investment, success or overfunding can be achieved, provided the anchor investor is a corporation rather than an individual. For individual anchor investors, a detailed resume matters. Overfunding can be achieved even when an individual anchor investor makes a small relative investment, if this small relative investment is compensated for by a detailed resume. Experience in entrepreneurial investment is crucial when individual anchor investors have few previous investments. Regardless of the anchor investor's identity, investment in absolute terms is crucial for crowdfunding success when experience in entrepreneurial investment is low. Such experience must be extensive if the anchor investor's resume is not detailed.

Both entrepreneurs and crowdfunding platforms can benefit from the findings in relation to the design of campaigns that use anchor investors' informational cues to achieve success and overfunding.

The study examines the importance of anchor investors' information disclosure in digital crowdfunding environments, differentiating between individual and corporate anchor investors.

本實證研究使用羊群行為模型, 去探究錨定投資者在確保眾籌活動可達成功籌資以及過多籌資方面所扮演的角色。

研究人員以定性比較分析法、去找出描述錨定投資者的資訊公佈如何帶來成功融資和過多籌資的配置模式。

研究結果顯示、只要錨定投資者不是個人、而是一間公司, 則即使他們的履歷不詳盡, 又或他們對企業投資的經驗淺薄, 也無礙籌資或過多籌資的成功完成。如錨定投資者為個人, 則詳盡的履歷會影響甚鉅。即使個人錨定投資者相對而言參與少量的投資, 但若這少量的投資給他們詳盡的履歷所彌補的話, 則過多籌資仍可成功達到。若個別錨定投資者原有的投資量不多的話, 則企業投資的經驗至為重要。不管錨定投資者的身份是什麼, 若他們對企業投資所持的經驗淺薄, 則按絕對值計算的投資額對眾籌能否成功至為重要。若錨定投資者的履歷不詳盡, 則這種經驗必須是豐富廣泛的。

本研究區分了個人錨定投資者與公司錨定投資者兩者對眾籌的影響, 就此而研究在數碼的眾籌環境裡, 錨定投資者信息公佈的重要性。

研究結果可幫助企業家和群眾募資平台去設計可使用錨定投資者的資訊提示來達至成功眾籌和過多籌資的活動。