A REVIEW OF THE RECENT LITERATURE ON THE INSTITUTIONAL ECONOMICS ANALYSIS OF THE LONG‐RUN PERFORMANCE OF NATIONS

This paper reviews the recent (post‐2000) literature that assesses the importance of institutions as a factor determining cross‐country differences in growth rates or in the contemporary level of “prosperity.” It first sketches how institutional economics has evolved. It then examines critically the methods of analysis employed in the recent literature. The paper finds that this literature has made a major contribution to the analysis of the causes of economic growth but the relative importance of institutions as a determinant of long‐run growth and prosperity is still a wide open question.     

Regionalizing National Commodity-by-Industry Accounts

Exended input–output (IO) models are increasingly prominent in regional economic analysis. Social accounting matrices and associated multiplier decompositions, IO econometric model hybrids and computable general equilibrium models are finding greater acceptance in contexts in which simple IO models once dominated. Although the extended regional models build primarily on the foundation of regional, interindustry accounting frameworks, the data from which these regional accounts are drawn are most commonly in the form of a national commodity-by-industry account. Despite this longstanding fact, the IO table adaptation literature has focused almost solely on methods of adapting national interindustry accounts to regional economies. This paper presents a method designed specifically to regionalize commodity-by-industry accounts, in the context of the US reporting system. The focus on commodity-by-industry data demands a confrontation with several important issues that otherwise might go unattended. Using a particular system and its accompanying classification scheme ensures a comprehensive and consistent regionalization method.     

ECONOMIC ANALYSIS OF KNOWLEDGE: THE HISTORY OF THOUGHT AND THE CENTRAL THEMES

Following the development of knowledge economies, there has been a rapid expansion of economic analysis of knowledge, both in the context of technological knowledge in particular and decision theory in general. This paper surveys this literature by identifying the main themes and contributions, and outlines the future prospects of the discipline. The wide scope of knowledge‐related questions in terms of applicability and alternative approaches has led to the fragmentation of research. Nonetheless, one can identify an enduring quest for analyzing various aspects of the generation, dissemination and use of knowledge in the economy.     

Measuring nonfundamentalness for structural VARs

As nonfundamental vector moving averages do not have causal VAR representations, standard structural VAR methods are deemed inappropriate for recovering the economic shocks of general equilibrium models with nonfundamental reduced forms. In the previous literature it has been pointed out that, despite nonfundamentalness, structural VARs may still be good approximating models. I characterize nonfundamentalness as bias depending on the zeros of moving average filters. However, measuring the nonfundamental bias is not trivial because of the simultaneous occurrence of lag truncation bias. I propose a method to disentangle the bias based on population spectral density and derive a measure for the nonfundamental bias in population. In the application, I find that the SVAR exercises of Sims (2012) are accurate because the nonfundamental bias is mild.     

ASSESSING THE IMPACT OF THE MAQUILADORA INDUSTRY IN MEXICO: AN INTERINDUSTRY ANALYSIS

Maquiladora industries, composed of assembly plants, play a central role in Mexico's development strategy. The author establishes that current low usage of domestic inputs by the maquiladora industries prevents Mexico from enginning the rest of the economy through secondary impacts to expand the national market. Furthermore, the economy is also affected, through diminished domestic linkages, from increasing the value added in Mexico and tax collection. An interindustry input-output model for the Mexican economy with emphasis on the maquiladora industries was developed. Among the findings, it is stressed that input purchases linkages are more effective than worker spending as a way to generate secondary output, income and jobs. This implies that increasing domestic input purchases by maquiladora industries could represent important potential advantages for the Mexican economy.     

ALCOHOL CONSUMPTION AND HUMAN CAPITAL: A RETROSPECTIVE STUDY OF THE LITERATURE

Abstract Grossman proposed an individual's health can be viewed as one aspect of their human capital. Following this line of thought a number of recent papers have reported a positive impact of alcohol consumption on earnings. The rationale for the existence of such a relationship is the positive impact of alcohol on physical and mental health. We conduct a meta‐analysis to determine whether such factors as: the estimation technique, the presence of ex‐drinkers in the sample, possible sample selection bias and publication bias may all contribute to these findings. An additional suggestion for the positive relationship between alcohol and wages is the presence of a common set of personality traits that determines drinking behaviour and also leads to higher earnings. We examine this relationship by reviewing the literature that investigates if the personality influencing aspects of alcohol consumption influences measures of human capital. We also survey the significant body of research that has examined how alcohol consumption has been found to influence educational outcomes and the work force participation of problem drinkers.     

IMPACT ON FIRMS OF THE USE OF KNOWLEDGE EXTERNAL SOURCES: A SYSTEMATIC REVIEW OF THE LITERATURE

This study summarizes the main conclusions from a systematic review of the empirical literature regarding the impact on firms of the use of knowledge external sources (universities, research institutes and knowledge intensive business services). With the aim to organize the literature, we classify the different works according to the research question addressed: (i) which firms use knowledge external sources?; (ii) Do firms using knowledge external sources achieve better results?; And (iii) which firms benefit the most from using knowledge external sources? Stylized facts are that larger, more R&D intensive and high tech firms are more likely to use knowledge external sources and that use of knowledge external sources is associated to firms higher technical results. Less attention has been paid to the third question and evidence is not conclusive. Several recommendations for future research emerge. First, to take in greater consideration methodological issues so that potential biases in the results caused by sample selection and endogeneity are handled properly. Second, to pay more attention to heterogeneous outcomes. Third, to use continuous indicators of depth and breadth of links allowing for non‐linear relationships and fourth, to extend evidence for developing countries and service industries.     

FROM THE LAB TO THE FIELD: A REVIEW OF TAX EXPERIMENTS

Tax experiments have been gaining momentum in recent years, although this literature dates back several decades. With new developments in methods and data availability, tax experiments have gradually moved away from lab settings and towards the field. This movement from the lab to the field has happened against the background of the ‘credibility revolution’ in applied economics, which has seen more rigorous methods applied to policy relevant questions, and of the availability to researchers of administrative data from tax returns. These developments have allowed significant advances in the experimental literature on tax compliance. This paper reviews this literature, giving particular attention to field experiments using administrative data, but putting them in the broader context of the compliance literature. A particular effort is made to take a global perspective, in a literature that is only recently seeing the emergence of evidence from Africa, Latin America and Asia.     

Interindustry Linkages: Virtuous and Vicious?

Although overall linkages are steadily increasing in growth processes, em-pirical data supply strong evidence of large intercountry and intertemporal fluctuations of the domestic-to-overall linkages ratio. This paper tries to explain this phenomenon by modelling a producers' behaviour which appears more realistic than that usually assumed in interindustry or computable general equilibrium models. The main novelty of the results is that the same causes that generate interindustry multipliers can also ‘trap’ domestic linkages into reinforcing (‘virtuous’) or weakening (‘vicious’) circles, depending on whether the price competitiveness of domestic activities is above or below a threshold related to the non-price competitiveness of those activities. These results can help to explain the fluctuations of domestic linkages with respect to overall linkages by spatial and temporal shifts of the threshold between the vicious and the virtuous ‘areas’. Moreover, they emphasize the importance of supply policies-mainly R&D policies—because of their ‘pushing down’ effect on this threshold.     

THE APPLICABILITY OF THE TRADITIONAL THEORY OF ECONOMIC POLICY

Abstract. The traditional theory of economic policy requires targets, instruments, an empirical economic model, and a social welfare or criterion function to be specified in order to derive the optimal economic policy. Empirical studies of reaction functions suggest that economic policy is carried out in some systematic manner, subject to interference from political factors. This survey addresses the problems of specifying, estimating and applying an economic model when economic policy is following a path specified by a reaction function. Attention is paid to rational expectations, the Lucas'critique, and the policy neutrality proposition. Lack of knowledge of the policy maker's objective function poses the most serious difficulty when applying the theory of economic policy. Various methods of determining this function are reviewed, and the possibility that policy makers might be satisficing is discussed. The role played by political factors is considered in the light of the public choice literature.     

New Methods of Updating Input–Output Matrices

The paper describes several new methods of updating Input–Output matrices. The deficiency of the conventional methods of updating these matrices is that they do not make much use of the commonly available interindustry data and thus exhaust only a small number of the available degrees of freedom. The updating methods described here are based on consistency relationships derived from the Leontief output and price systems. Thereby these methods bring substantially more interindustry data to bear on the updating process, and consequently give rise to better Input–Output coefficient estimates.     

THE EFFECT OF KNOWLEDGE ACCESSIBILITY ON INTERNATIONAL INCOME INEQUALITY

Using a structural model of new economic geography, we estimate the effect of accessibility to foreign knowledge on international income distribution. Whereas previous literature has mainly focused on the importance of geographical accessibility to foreign markets, this paper emphasizes the role of accessibility to foreign knowledge in determining international income inequality. Using cross-country data of income per worker, bilateral trade flows, and number of flight passengers, we find evidence that the accessibility to foreign knowledge raises per capita income significantly.     

THE DETERMINANTS OF RESEARCH GROUP PERFORMANCE: TOWARDS MODE 2?*

This paper explores the determinants of performance of research groups in the context of the emergence of knowledge as a key intangible asset. It focuses specifically on how best to configure knowledge producers for optimal effectiveness in the current research environment. It explores the under‐researched area of the organization and management of research groups located in and at the interface of university research and focuses on medical and medical‐related research groups. The discussion is embedded within the current debate concerning modes of organization in knowledge production. Factors identified with high‐achievement are: strong leadership; finding, motivating and retaining talent; strategies of related diversification; strongly linked theory and practice and, in particular, network connectedness. Such groups exhibit an increasingly complex internal environment, facilitating a flexible response to an increasingly complex external environment. It finds evidence of Mode 2 working, with increasing use of collaborative strategies and some evidence of a thematic emphasis emerging, although to a lesser extent than the literature suggests, since participants are still working from a strongly disciplinary base. Driven by the more competitive environment, both intellectual and commercial forms of entrepreneurship are present. At the hub of this complex web of inter‐related factors is network connectedness, which proves to be centrally facilitative in mobilizing the other necessary resources.     

ON THE PARAMETERIZATION OF TECHNIQUES FOR REPRESENTING REGIONAL ECONOMIC STRUCTURES

This paper is concerned with two parameterized methods of regionalising input–output coefficients: the Flegg et al. Location Quotient (FLQ) and its augmented version (AFLQ). For applying the two techniques, a parameter δ has to be estimated. In this regard, the paper faces two matters that are still open in the literature: the existence of a range of δ that can be used in different regions and the estimation of the most appropriate value of δ. For this aim, a Monte Carlo simulation has been carried out in order to generate ‘true’ multiregional I-O tables randomly. From the simulation, analyses based on probability distributions and regression were also carried out. Finally, these simulation results have been compared with those of an empirical case. Results confirm that there is actually a range of values of δ within which the best δ is more likely to fall. For the FLQ, this range is centred on 0.3 with an associated probability of 33% (if the width of the range is set at 0.1), whereas, for the AFLQ, the relevant range is between 0.3 and 0.4 with a probability by 38%. Finally, this paper provided a way to estimate the best δ for a given region, without knowing the relevant and detailed economic structure at sectoral level.     

SELECTION BIAS CORRECTIONS BASED ON THE MULTINOMIAL LOGIT MODEL: MONTE CARLO COMPARISONS

Abstract.  This survey presents the set of methods available in the literature on selection bias correction, when selection is specified as a multinomial logit model. It contrasts the underlying assumptions made by the different methods and shows results from a set of Monte Carlo experiments. We find that, in many cases, the approach initiated by Dubin and MacFadden (1984) as well as the semi-parametric alternative recently proposed by Dahl (2002) are to be preferred to the most commonly used Lee (1983) method. We also find that a restriction imposed in the original Dubin and MacFadden paper can be waived to achieve more robust estimators. Monte Carlo experiments also show that selection bias correction based on the multinomial logit model can provide fairly good correction for the outcome equation, even when the IIA hypothesis is violated.     

WHAT IS THE EFFECT OF HOUSEWORK ON THE MARKET WAGE,AND CAN IT EXPLAIN THE GENDER WAGE GAP?

Abstract Does housework reduce the market wage, and if so, does it have a similar impact for males and females? In this paper, we survey and evaluate the recent and growing empirical literature on the linkages between housework and the wage rate. The review is motivated by unexplained gender wage gaps across studies, which consider personal and market‐related factors. We focus on this less‐studied aspect of wage determination. We consider the required modelling framework, and provide standardized estimated effects of housework on the hourly wage across studies. We evaluate how this literature has addressed potential estimation problems, in particular, the endogeneity of housework, concavity of the housework–wage function, threshold effects and work effort effects. We conclude that the evidence across ordinary least squares, instrumental variable, fixed effects and two‐stage least squares results casts serious doubt on the idea that the negative female housework–wage relationship is only driven by endogeneity bias or individual‐specific characteristics. Yet, much more needs to be done to address modelling and data requirements, and we point out likely and promising future research directions.     

THE REGIONAL EFFECTS OF MONETARY POLICY: A SURVEY OF THE EMPIRICAL LITERATURE

This survey provides an updated review of the empirical literature on the regional effects of monetary policy in economic activity by means of undertaking a threefold perspective. First, the main methodological dimensions of this literature are examined while pinpointing those modelling or methodological traits that constitute a source of diverging estimates and thereby produce inconclusive evidence. Secondly, the estimates yielded by the literature are summarized by carrying out a cross‐study analysis of the results for each monetary union. By drawing on empirical regularities that are robust across studies, the conclusiveness of the results is assessed, while those monetary unions for which conclusive evidence is still lacking are also identified. Lastly, the sources of regional heterogeneity identified by these studies are reviewed in order to shed some light on the linkage between monetary policy and territorial heterogeneity. As a result of this threefold perspective, this survey delivers overall structured conclusions and updated policy‐relevant lessons. Moreover, various research gaps and emerging topics in the literature are also identified.     

THE GINI CONCENTRATION INDEX: A REVIEW OF THE INFERENCE LITERATURE

More than a century ago, Corrado Gini proposed his well-known concentration index for measuring the degree of inequality in the distribution of income and wealth. His index is still extremely relevant and widely used in several fields of research and application. In this paper, we focus on the inferential properties of the Gini index, and discuss the main directions of analysis proposed in the literature. The aim of the paper is to provide a comprehensive review of the main developments on the inferential aspects of the Gini concentration ratio. We feel that this work can provide a valuable contribution to those scholars who are approaching the large amount of literature on the inferential properties of the Gini index.     

THE IMPACT OF THE EU EMISSIONS TRADING SYSTEM ON COMPETITIVENESS AND CARBON LEAKAGE: THE ECONOMETRIC EVIDENCE

This paper carefully surveys the econometric literature that tests for competitiveness effects and related carbon leakage caused by the EU Emissions Trading System (EU ETS). The results of this literature tell us that to date there is no evidence of the EU ETS having had widespread negative or positive effects on the competitiveness of regulated firms, nor is there evidence of significant carbon leakage. However, the paper also identifies three important caveats to this general conclusion. Firstly, the evidence we have still largely refers to the first two trading periods, namely Phases I (2005–2007) and II (2008–2012). Secondly, some heterogeneity of estimated effects is observed, but patterns, notably sectoral patterns, hardly emerge. Thirdly, very little explored is whether the EU ETS has had long-term effects on the economy via investment leakage or firm dynamics. Further empirical studies investigating these long-term effects are particularly desirable.     

THE BIAS OF THE MULTIPLIER MATRIX WHEN SUPPLY AND USE TABLES ARE STOCHASTIC

The literature on stochastic input–output (I–O) analysis has paid considerable attention to the bias in the Leontief inverse. This paper extends previous studies by assuming supply and use tables (SUTs rather than I–O tables or input coefficients matrices) to be stochastic. This is a natural starting point because SUTs have become the basic data sources for I–O applications. In a Monte Carlo simulation experiment, a given SUT is randomized in two different ways and the effects are determined for eight different multiplier matrices. The analysis is carried out for Spain, Italy, the Netherlands, Germany and Finland, using their SUTs for 2006. The findings indicate that, in general, biases are statistically significant but negligibly small. This corroborates earlier findings obtained for stochastic I–O tables.