22 resultados para empirical economics

em Deakin Research Online - Australia


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Meta-regression analysis (MRA) provides an empirical framework through which to integrate disparate economics research results, filter out likely publication selection bias, and explain their wide variation using socio-economic and econometric explanatory variables. In dozens of applications, MRA has found excess variation among reported research findings, some of which is explained by socio-economic variables (e.g., researchers’ gender). MRA can empirically model and test socio-economic theories about economics research. Here, we make two strong claims: socio-economic MRAs, broadly conceived, explain much of the excess variation routinely found in empirical economics research; whereas, any other type of literature review (or summary) is biased.

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Funnel graphs provide a simple, yet highly effective, means to identify key features of an empirical literature. This paper illustrates the use of funnel graphs to detect publication selection bias, identify the existence of genuine empirical effects and discover potential moderator variables that can help to explain the wide variation routinely found among reported research findings. Applications include union–productivity effects, water price elasticities, common currency-trade effects, minimum-wage employment effects, efficiency wages and the price elasticity of prescription drugs.

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There is growing concern and mounting evidence of selectivity in empirical economics. Most empirical economic literatures have a truncated distribution of results. The aim of this paper is to explore the link between publication selectivity and theory contests. This link is confirmed through the analysis of 87 distinct empirical economics literatures, involving more than three and a half thousand separate empirical studies, using objective measures of both selectivity and contests. Our meta–meta-analysis shows that publication selection is widespread, but not universal. It distorts scientific inference with potentially adverse effects on policy making, but competition and debate between rival theories reduces this selectivity and thereby improves economic inference.

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Risk allocation in public-private partnership (PPP) projects is currently claimed as capability driven. While lacking theoretical support, the claim is often 'violated' by current industrial practice. There is thus a need for formal mechanisms to interpret why a particular risk is retained by government in one project while transferred to private partners in another. From the viewpoint of transaction cost economics (TCE), integrated with the resource-based view (RBV) of organizational capabilities, this paper proposed a theoretical framework for understanding risk allocation practice in PPP projects. The theories underlying the major constructs and their links were articulated. Data gathered from an industry-wide survey were used to test the framework. The results of multiple linear regression (MLR) generally support the proposed framework. It has been found that partners' risk management routine, mechanism, commitment, cooperation history, and uncertainties associated with project risk management could serve to determine the risk allocation strategies adopted in a PPP project. This theoretical framework thus provides both government and private agencies with a logical and complete understanding of the process of selecting the allocation strategy for a particular risk in PPP projects. Moreover, it could be utilized to steer the risk allocation strategy by controlling certain critical determinants identified in the study. Study limitations and future research directions have also been set out.

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Purpose – The aim of this paper is to provide a critical evaluation of the potential of new institutional economics (NIE) in third world development.

Design/methodology/approach – The paper reviews various theories under NIE from both conceptual and empirical perspectives. It then reviews the various definitions of institutions and show that institutions are essential to overcome problems of information and uncertainty.

Findings – The review finds that weak institutions can undermine development and hence governments in developing countries should strengthen their institutions to provide greater scope for efficient functioning of markets. Where the market does not work owing to high transactions costs, traditional institutions of collective action and group decision making can work and hence need to be recognised.

Research limitations/implications – The major implications of the paper is that in developing countries, a clear understanding of various institutions such as user groups, inter-linked credit markets, rotational irrigation etc. is needed before they are replaced or modified by other institutions. The main limitations of NIE are that there can be capture by elites of various institutional innovations in rural areas, and that it does not explicitly consider income distribution and uncertainty which are glossed over and hence remain areas for future research.

Originality/value – This paper critically reviews the various institutional environments that developing countries face in addressing development issues.

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This paper examines the recent spectacular corporate collapses of Parmalat in Europe, Enron and WorldCom in the USA and HIH in Australia and argues for a re-examination of corporate governance regulations, particularly in relation to accounting standards regarding the valuation of assets. The recommendation that is put forward in this regard is based upon empirical evidence arising from further examination of the empirical results in (Hossari and Rahman, 2004). Specifically, the recommendation is based upon the realization that, among the 48 financial ratios across the 50-plus refereed studies, five financial ratios, all of which contained assets as one of the variables, were a relatively robust indicator of corporate collapse. The five ratios are: Net Income/Total Assets, Current Assets/Current Liabilities, Total Liabilities/Total Assets, Working Capital/Total Assets, and Earnings Before Interest and Taxes/Total Assets. This paper suggests that it's not the failure of the corporate collapse prediction models, rather it's the erosion of the reliability of some key input data, namely assets and the valuation thereof, that is largely responsible for the apparent failure of these models in capturing impending collapses, such as those that we witnessed in the recent past. Such empirical findings support the argument that assets are soft targets for misrepresentation, because of the leeway granted in accounting standards with regards to their valuation.

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Devaluation has been traditionally promoted as an effective tool for increasing exports and improving the external position of the devaluing country if a nominal devaluation results in expenditure switching. In this article, our aim is to model the relationship between currency devaluations and output for Fiji. Following the approach in Bahmani et al. (2002), we extend the traditional model by incorporating other monetary and fiscal policy variables. We achieve our goal by using the recently developed bounds testing approach to cointegration and the autoregressive distributed lag model and find that devaluation is expansionary in the case of Fiji.

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This study applies Granger causality tests within a multivariate error correction framework to examine the relationship between female participation rates, infant mortality rates and fertility rates for Australia using annual data from 1960 to 2000. Decomposition of variance and impulse response functions are also considered. The main findings are twofold. First, in the short run there is unidirectional Granger causality running from the fertility rate to female labour force participation and from the infant mortality rate to female labour force participation while there is neutrality between the fertility rate and infant mortality rate. Second, in the long run both the fertility rate and infant mortality rate Granger cause female labour participation.

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This paper empirically estimates a murder supply equation for the United States from 1965 to 2001 within a cointegration and error correction framework. Our findings suggest that any support for the deterrence hypothesis is sensitive to the inclusion of variables for the effects of guns and other crimes. In the long run we find that real income and the conditional probability of receiving the death sentence are the main factors explaining variations in the homicide rate. In the short run the aggravated assault rate and robbery rate are the most important determinants of the homicide rate.

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This chapter aims to give the reader an overview of agency theory (AT) and its application in accounting research. It delineates the basic assumptions and concepts of AT and identifies the various measures that can be undertaken to minimise agency costs. The chapter also provides a summary of the commonalities and differences across the three major paradigms adopted by accounting researches when using an agency framework: Principal-Agent, Transaction Cost Economics and Positivist (Rochester) model. Further, a review of some recent theoretical and empirical studies on the design of optimal contracts, namely those relating to implicit contracts, multi-agents and multi-period issues is undertaken. Several suggestions are made for future studies adopting an AT-based approach.

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This study uses a two-sector model to determine the productivity differential between the export and non-export sectors of Fiji, and the contribution of exports and investment to gross domestic product over the period 1962-2000. Amongst our key results, we find that the productivity differential between the export and non-export sectors is small and statistically insignificant; investment to GDP ratio and weighted exports positively contribute to economic growth in Fiji; and in the abnormal years (years of coups in Fiji) marginal productivity in capital in the non-export sector is lower than in normal years.

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In this note we examine the determinants of Oman's national savings for the period 1977-2003 using the bounds testing approach to cointegration. We use the ARDL model to estimate the long run and short run determinants of national savings. Our main finding is that the current account, the urbanisation rate and the money supply exert statistically significant impacts on Oman''s national savings in the long run.