Citizen participation in public administration: investigating open government for social innovation

In recent years, public sector organizations have increasingly focused on citizen contribution by adopting instruments known from open innovation. By collaborating with the periphery and leveraging external knowledge, government institutions initiate social innovation and stimulate a positive change for society. This article examines the involvement of citizens in an ideation platform initiated by a local government and investigates the motivations affecting participation intensity. Drawing on self‐determination theory, we analyze what motivates citizens to participate in an open government platform and how these motivations influence participation quantity. Based on a survey among platform users and the analysis of usage data from the platform operator, we find that motivations of citizen participation in public administration greatly vary across forms of participation. Whereas, intrinsic motivation is positively associated with producing and consuming platform content, external and introjected regulation negatively relate to individuals’ active contribution. At the same time, external regulation is positively associated with evaluation behavior.     

Can incentives mitigate student overconfidence at grade forecasts?

Research shows that college students exhibit bias in their forecasts of exam performance. Most students are overconfident in their forecasts, academically weaker students are the most overconfident, and top-performing students are underconfident. The literature identifies negative repercussions of these biases, including inadequate preparation for exams. A recurring attribute of this literature is the absence of meaningful incentives for students to forecast accurately. We implement an extra credit scheme to incentivize accurate forecasts. Depending on how forecast bias is measured, the scheme mitigates bias by top-performing students and marginally mitigates bias by other students. Our results have several implications. First, we illustrate an extra credit tool instructors can use to incentivize students to make more thoughtful assessments of their future exam performance. Second, we show how the association between incentives and forecast bias differs across student groups. Finally, we show that results in this literature are sensitive to how bias is measured.     

Evaluating Statistical Models of Mortgage Lending Discrimination: A Bank-Specific Analysis

We present our efforts to develop bank-specific models to test for the presence of mortgage lending discrimination. We discuss the potential for selection and simultaneity biases and delineate the conditions under which a single-equation model is appropriate. The results from three national banks demonstrate that, by incorporating the specific underwriting guidelines of each bank, our alternative approach significantly improves the ability of the model to explain the outcomes of the mortgage lending decision process when compared to a single generic specification applied across all banks. Our results also demonstrate the difficulties encountered in attempting to incorporate the specifics of a bank's underwriting criteria and the remaining potential for omitted-variables problems.     

Climate Change and Asset Prices: Are Corporate Carbon Disclosure and Performance Priced Appropriately?

This paper empirically assesses the relevance of information on corporate climate change disclosure and performance to asset prices, and discusses whether this information is priced appropriately. Findings indicate that corporate disclosures of quantitative greenhouse gas (GHG) emissions and, to a lesser extent, carbon performance are value relevant. We use hand‐collected information on quantitative GHG emissions for 433 European companies and build portfolios based on GHG disclosure and performance. We regress portfolios on a standard four factor model extended for industry effects over the years 2005 to 2009. Results show that investors achieved abnormal risk‐adjusted returns of up to 13.05% annually by exploiting inefficiently priced positive effects of (complete) GHG emissions disclosure and good corporate climate change performance in terms of GHG efficiency. Results imply that, firstly, information costs involved in carbon disclosure and management do not present a burden on corporate financial resources. Secondly, investors should not neglect carbon disclosure and performance when making investment decisions. Thirdly, during the period analysed, financial markets were inefficient in pricing publicly available information on carbon disclosure and performance. Mandatory and standardised information on carbon performance would consequently not only increase market efficiency but result in better allocation of capital within the real economy.     

UK Analysts' Earnings Forecasts

This paper reports the results of an empirical study of UK analysts' earnings forecasts for 126 firms for the years 1980 and 1981. Six hypotheses regarding the accuracy of these forecasts are tested, with results which both confirm and conflict with prior UK findings. In addition, evidence is found of a greater than generally attributed sensitivity of test results to the measure of accuracy used.     

The fundamentals of land prices and urban growth

In a very simple model in which capital is durable and landowners have perfect foresight, the price of urban land has four additive components: the value of agricultural land rent, the cost of conversion, the value of accessibility, and the value of expected future rent increases, a growth premium. In rapidly growing cities, the growth premium may easily account for half of the average price of land and may create a large gap between the price of land at the boundary (minus conversion cost) and the value of agricultural land rent.     

Determinants of tender offer post-acquisition financial performance

The present study extends previous research efforts and examines relationships between commonly discussed strategic acquisition factors and long-term financial performance measures of acquiring firms. The factors of interest include relative size, previous acquisition experience, organizational age, industry commonality, contested versus uncontested acquisitions, and percentage of stock acquired. The financial performance measures include both accounting and capital market data for the 4-year period preceding acquisition activity and the 4-year period following such activity. The study presents bivariate and multivariate analyses for 42 industrial manufacturing firms that engaged in the tender offer form of acquisition. The findings indicate that, on the average, post-acquisition financial performance improved significantly for organizations that had previous acquisition experience, acquired a higher percentage of a target, or were older. Post-acquisition performance decreased significantly for acquiring firms when target firms contested an acquisition.