On the rebound: estimating direct rebound effects for Australian households

Reducing dependence on fossil fuels by decreasing energy consumption is a common environmental policy. One mechanism used to achieve this is to encourage increased energy efficiency. However, improving efficiency may have an opposing effect and cause an increase in energy consumption if the intensity of use changes. This phenomenon is known as the rebound effect. We estimate direct rebound effects for energy use in Australia based on both aggregate residential energy use data and on household energy expenditure data. Our approach implements a new methodology developed by Hunt and Ryan (2014, Catching on the rebound: Why price elasticities are generally inappropriate measures of rebound effects. Surrey Energy Economics Discussion Paper Series SEEDS 148; 2015, Energy Economics 50, 273) that explicitly relates energy service use with energy source demand and directly incorporates measures of efficiency changes. The results indicate that the rebound effect is relatively high for energy use by Australian households. Due to the unique nature of our household data set, we can examine the influence of demographic and housing characteristics. We find that low‐income households and households with vulnerable members have the largest rebound effects. The relatively large rebound effects found here suggest that consumers gain from efficiency by improved energy services, and thus, policy targeting energy efficiency is not likely to be successful at reducing energy consumption.     

Interest differentials and extreme support for uncovered interest rate parity

This paper addresses two findings from the empirical literature testing uncovered interest parity (UIP): (i) more favorable results when interest differentials (IDs) are large and (ii) instability across samples. Simulations demonstrate that explanations of the results using large IDs based on the hypothesis of a “zone of speculative inactivity” are inconsistent with empirical evidence. Furthermore, it is shown that, if agents forecast IDs based on long-run values, coefficient estimates will be unstable if rates of decay in IDs vary significantly and, for ex post UIP to hold, IDs must decay in absolute value. This is consistent with OECD country data.     

Deep habits and the dynamic effects of monetary policy shocks

We introduce deep habits into a sticky-price sticky-wage economy and examine the resulting models ability to account for the impact of monetary policy shocks. The deep habits mechanism gives rise to countercyclical markup movements even when prices are flexible and interacts with nominal rigidities in interesting ways. Key parameters are estimated using a limited information approach. The deep habits model can account very precisely for the persistent impact of monetary policy shocks on aggregate consumption and for both the price puzzle and inflation persistence. A key insight is that the deep habits mechanism and nominal rigidities are complementary: the deep habits model can account for the dynamic effects of monetary policy shock at low to moderate levels of nominal rigidities. The results are shown to be stable over time and not caused by monetary policy changes.     

For the greater good: business networks and business social responsibility to communities

Business networks (co-operative arrangements between independent business organizations) may be the signature organizational form of the contemporary global economy. Many policy-makers and local leaders advocate business network membership as an alternative development strategy for regional economic vitality. The extant literature on business networks has focused on their association with business success. However, little is known about their impact on other aspects of community life. The purpose of this paper is to elaborate the role of network membership on one non-economic dimension of the business community interface. We examined the relationship between business network membership and business social responsibility to communities, defined as the provision of leadership and support for community betterment projects. Data were gathered from telephone interviews with a random sample of 460 non-metro small business operators in the USA. Independent t-tests and ordinary least squares regression analyses controlling for theoretically important variables were conducted. Findings show that networked businesses provide more leadership and support for their communities than non-networked businesses. However, networked businesses were no more likely than non-networked businesses to use local suppliers of goods and services.     

Economic importance and statistical significance: Guidelines for communicating empirical research

Abstract

A critical objective for many empirical studies is a thorough evaluation of both substantive importance and statistical significance. Feminist economists have critiqued neoclassical economics studies for an excessive focus on statistical machinery at the expense of substantive issues. Drawing from the ongoing debate about the rhetoric of economic inquiry and significance tests, this paper examines approaches for presenting empirical results effectively to ensure that the analysis is accurate, meaningful, and relevant for the conceptual and empirical context. To that end, it demonstrates several measurement issues that affect the interpretation of economic significance and are commonly overlooked in empirical studies. This paper provides guidelines for clearly communicating two distinct aspects of “significance” in empirical research, using prose, tables, and charts based on OLS, logit, and probit regression results. These guidelines are illustrated with samples of ineffective writing annotated to show weaknesses, followed by concrete examples and explanations of improved presentation.     

An Empirical Investigation into the Perception of Vehicle Source Effects

Advertising managers, educators and regulators alike have observed the growth of federal programs mandating the form or content of consumer information disclosures. Although this activity often has been warranted, at times these programs may have had unintended “deceptive” effects. Examples might include the USDA's food grading systems, some of the FTC's corrective advertising activities and certain programs of affirmative disclosure of product information (e.g, gasoline octane ratings and the cigarette health warning). To avoid these problems one must give attention to principles learned from communication and attitude research. Further, such programs will benefit greatly from before-after impact evaluation studies to insure that results correspond with objectives.     

Changes over time in the return to education in urban China: Conventional and ORU estimates

Studies of the return to education in urban China have reported that this has increased over time, and that females typically have a higher return than males. In this paper we adopt a framework provided by the over education/required education/under education literature, and the decomposition developed by Chiswick and Miller (2008), to investigate the reasons for these findings. The finding by Chen and Hamori (2009), from analysis of data for 2004 and 2006, of the return to schooling for males exceeding that for females, is also examined using this decomposition.