THE IMPACT OF LABOR MARKET REGULATION ON EMPLOYMENT IN LOW‐INCOME COUNTRIES: A META‐ANALYSIS

Controversy over labor market policy often centers on achieving a balance between preventing worker exploitation, and avoiding loss of productivity or employment through excessive regulation. Although the literature documenting the impact of labor market regulation on employment is extensive, there is a dearth of evidence on the impact of such policies in low‐income countries (LICs). Since it is easier for workers, especially women, to slip into the informal sector in LICs, regulations are likely to have stronger impacts on formal employment in these countries (but lower impacts on unemployment). We systematically reviewed available research from countries that are, or were until recently, LICs. Most studies document that more stringent labor regulations are associated with lower formal sector employment and higher informal sector employment. We also conducted a metaregression analysis of the impact of minimum wages on formal and informal employment. After controlling for publication bias, higher minimum wages are associated with lower formal employment and a higher share of informal workers.     

EMPLOYMENT OF OLDER WORKERS IN POLAND: ISSUES AND POLICY IMPLICATIONS1

The aim of this paper is to discuss barriers to the employment of older workers in Poland, where, due to various structural weaknesses and institutional arrangements, this problem has taken on a particularly acute seriousness. After analysing the causes of inactivity amongst older workers, the paper concludes by making policy recommendations.     

A UNIFYING VIEW ON MULTI‐STEP FORECASTING USING AN AUTOREGRESSION

Abstract This paper unifies two methodologies for multi‐step forecasting from autoregressive time series models. The first is covered in most of the traditional time series literature and it uses short‐horizon forecasts to compute longer‐horizon forecasts, while the estimation method minimizes one‐step‐ahead forecast errors. The second methodology considers direct multi‐step estimation and forecasting. In this paper, we show that both approaches are special (boundary) cases of a technique called partial least squares (PLS) when this technique is applied to an autoregression. We outline this methodology and show how it unifies the other two. We also illustrate the practical relevance of the resultant PLS autoregression for 17 quarterly, seasonally adjusted, industrial production series. Our main findings are that both boundary models can be improved by including factors indicated from the PLS technique.     

MIXED‐FREQUENCY STRUCTURAL MODELS: IDENTIFICATION,ESTIMATION, AND POLICY ANALYSIS

The mismatch between the timescale of DSGE (dynamic stochastic general equilibrium) models and the data used in their estimation translates into identification problems, estimation bias, and distortions in policy analysis. We propose an estimation strategy based on mixed‐frequency data to alleviate these shortcomings. The virtues of our approach are explored for two monetary policy models. Copyright © 2014 John Wiley & Sons, Ltd.     

GLOBALIZATION AND PRODUCTIVITY: A SURVEY OF FIRM‐LEVEL ANALYSIS

Abstract Recent empirical studies which utilize plant‐ or establishment‐level data to examine globalization's impact on productivity have discovered many causal mechanisms involved in globalization's impact on firms’ productivity. Because these pathways have been broad, there have been few attempts to summarize the several and detailed mechanisms of self‐selection and learning at the same time. This paper examines seven pathways so that the clear‐cut consequences of the broad picture of globalization become visible. This strategy is useful for detecting missing links within and across the existing studies as well as for finding possible synergy effects among different mechanisms. Insightful policy implications may be derived from the comprehensive comparisons between the seven different pathways of globalization.     

JUSTIFYING A POLICY MIX FOR POLLUTION CONTROL: A REVIEW OF ECONOMIC LITERATURE

Abstract This paper provides a review of economic studies analysing the use of multiple policies – a so‐called policy mix – to cope with single pollution problems. To guide and structure the review, an analytical framework is developed and applied. The framework integrates transaction costs into the analysis of pollution problems and policies to overcome them. Moreover, it understands a pollution externality not only as a market failure but more generally as the failure of private governance structures. Based on this insight, two rationales for using a policy mix are identified. First, a policy mix may help to correct for multiple reinforcing failures of private governance structures, such as pollution externalities and technological spillovers. Second, a policy mix can be employed if the implementation of single first‐best policies brings about high transaction costs, e.g. when marginal pollution damages are heterogeneous or polluters are unlikely to comply with the policy. For each rationale, the relevant literature is presented. Based on the review, avenues for future research are identified.     

MONETARY POLICY IN A NON‐REPRESENTATIVE AGENT ECONOMY: A SURVEY

It is well known that central bank policies affect not only macroeconomic aggregates, but also their distribution across economic agents. Similarly, a number of papers demonstrated that heterogeneity of agents may matter for the transmission of monetary policy to macro variables. Despite this, the mainstream monetary economics literature has so far been dominated by dynamic stochastic general equilibrium models with representative agents. This paper aims to tilt this imbalance towards heterogeneous agents setups by surveying the main positive and normative findings of this line of the literature, and suggesting areas in which these models could be implemented. In particular, we review studies that analyse the heterogeneity of (i) households’ income, (ii) households’ preferences, (iii) consumers’ age, (iv) expectations and (v) firms’ productivity and financial position. We highlight the results on issues that, by construction, cannot be investigated in a representative agent framework and discuss important papers modifying the findings from the representative agent literature.     

INTERFUEL SUBSTITUTION: A META‐ANALYSIS

Abstract This paper provides the first meta‐analysis of the interfuel substitutability literature. The sample includes 47 studies of interfuel substitution in the industrial sector, in manufacturing industry or manufacturing sub‐industries, or in the macro‐economy of a variety of developed and developing countries. Meta‐regressions are estimated for the six shadow elasticities of substitution between coal, oil, gas and electricity. I find that at the level of the industrial sector as a whole the oil–coal, oil–gas, oil–electricity and gas–electricity shadow elasticities of substitution are significantly greater than unity. The remaining elasticities – between coal and gas and coal and electricity – are insignificantly different from unity or zero due to their large standard errors. Substitution possibilities seem more constrained at the macro level and less constrained at lower levels of aggregation. Estimates of the elasticities of substitution from cross‐section regressions are generally largest whereas fixed effects panel estimates are intermediate in magnitude, and time‐series estimates are mostly much smaller. In order to obtain more precise and less biased estimates of long‐run elasticities of substitution, there is a need for additional primary studies using large samples and/or the between estimator which econometric research suggests is likely to provide the best estimates of long‐run elasticities.     

INCENTIVES AND SOCIAL NORMS: A MOTIVATION‐BASED ECONOMIC ANALYSIS OF SOCIAL NORMS

Abstract It is now commonplace to regard social norms as a subject of growing interest in the economic literature (e.g. game theoretical approaches based on ‘other‐regarding’ individual preferences, the analysis of the impact of rewards or punishment on individuals’ behaviour through experimental economics as well as field experiments, the revival of the institutionalist tradition spurred on by the influential work of Douglas North and followed by many others and the growing influence of neuroeconomics). In this paper, we focus on the relationship between incentives and social norms and survey the literature that could constitute the foundations of a motivation‐based economic analysis of social norms. Our main findings are that (1) the interaction between incentives and social norms is far from obvious since taking social norms into account involves the introduction of supplementary motives, in addition to self‐interest, into the economic analytical framework; (2) the analysis of the interaction between incentives and social norms resists an approach exclusively in terms of crowding‐in and ‐out effects because it is sensitive to whether it concerns behaviours driven by honour or by social stigma; (3) as a result, it is difficult to precisely evaluate the policy implication of the interactions between incentives and social norms.     

THE REGIONAL GEOGRAPHY OF U.S. BUSINESS SERVICES GROWTH, 1977–1987: EVIDENCE AND POLICY IMPLICATIONS

Regional analysts and policy makers have long struggled with problems arising from the uneven development of industrial systems. Most efforts have focused on manufacturing even though the business services sector continues to gain importance as a source of employment. This paper provides rigorous analyses of the regional organization of business services employment growth in the United States and discusses some implications of regionalism for the development of industrial policy. The analyses use chi-square goodness-of-fit tests and spatial statistics to examine regional structure. State-level employment data in ten business service industries for two periods, 1977–1982 and 1982–1987, are used in the analyses. The results show that although employment growth varies across the United States, it does not exhibit consistent regional organization. Instead, growth is organized more around metropolitan complexes. The lack of regional organization suggests that industrial policy should focus on the urban concentration of growth, telecommunications infrastructure and urban-rural linkages.     

META‐ANALYSIS OF ECONOMICS RESEARCH REPORTING GUIDELINES

Meta‐regression analysis (MRA) can provide objective and comprehensive summaries of economics research. Their use has grown rapidly over the last few decades. To improve transparency and to raise the quality of MRA, the meta‐analysis of economics research‐network (MAER‐Net) has created the below reporting guidelines. Future meta‐analyses in economics will be expected to follow these guidelines or give valid reasons why a meta‐analysis must deviate from them.     

CORRUPTION'S DIRECT EFFECTS ON PER‐CAPITA INCOME GROWTH: A META‐ANALYSIS

Corruption is a symptom of weak institutional quality and could have potentially adverse effects on economic growth. However, heterogeneity in reported findings makes it difficult to synthesize the evidence base with a view to test competing hypotheses and/or support evidence‐based policy and practice. To address this issue, we have extracted 327 estimates of corruption's direct effect on per‐capita GDP growth from 29 primary studies, following a peer‐reviewed and pre‐published systematic review protocol. Precision‐effect and funnel asymmetry tests indicate that corruption has a negative effect on per‐capita GDP growth after controlling for publication selection bias and within‐study dependence. However, multivariate meta‐regression analysis results indicate that the overall effect is not robust to inclusion of moderating variables through a general‐to‐specific procedure for model specification. We report that the marginal effect of corruption on per‐capita GDP growth is more adverse when the primary study estimates relate to long‐run growth, are based on low‐income‐country data only, and extracted from journal papers. The effect is less adverse in studies that use the International Country Risk Guide corruption perceptions index and in those reporting estimates from two‐stage least‐squares estimations.     

RISE OF THE THERAPEUTIC STATE: NEW CHALLENGES FOR TWENTY‐FIRST‐CENTURY MEDICINE

In recent history, the politics of health has drifted inexorably towards a paradigm in which it is the responsibility of the state rather than of individuals to manage their health. What were once considered private health matters for individuals are now attributed with society‐wide importance. This has given rise to a strident ‘therapeutic state’ which pays obsessive interest in its citizens’ eating, drinking, smoking, exercise and sexual habits. However, many of the therapeutic state's own recommendations are poorly evidenced and doctrinaire. The lack of accountability and adverse incentives which creeping state intrusiveness brings will ultimately disconnect the health system from the needs of citizens and treat their personal information with inexcusable carelessness.     

FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH: A META‐ANALYSIS

We analyze 1334 estimates from 67 studies that examine the effect of financial development on economic growth. Taken together, the studies imply a positive and statistically significant effect, but the individual estimates vary widely. We find that both research design and heterogeneity in the underlying effect play a role in explaining the differences in results. Studies that do not address endogeneity tend to overstate the effect of finance on growth. While the effect seems to be weaker in less developed countries, the effect decreases worldwide after the 1980s. Our results also suggest that stock markets support faster economic growth than other financial intermediaries.     

STOCK‐FLOW INTERACTIONS,DISEQUILIBRIUM MACROECONOMICS AND THE ROLE OF ECONOMIC POLICY

This paper presents the ‘KMGT’ (Keynes–Metzler–Goodwin–Tobin) portfolio model and studies its stability properties. The approach to macrodynamic modelling taken here extends the KMG model of Chiarella and Flaschel (2000) , focusing in particular on the incorporation of financial markets and policy issues. The original KMG model considered three asset markets (equities, bonds and money) but depicted them in a rudimentary way so that they had little influence on the real side of the model. The only financial market influencing the real side of the economy was the money market (via an LM curve theory of interest). Here Tobin's portfolio choice theory models the demand for each asset in such a way that the total amount of assets that households want to hold equals their net wealth, which is a stock constraint attached to portfolio choice. There is also a flow constraint, that the net amount of assets accumulated (liabilities issued) by one sector must equal its net savings (expenditures). The Tobinian macroeconomic portfolio approach characterizes the potential for financial market instability, focusing on the interconnectedness of all three markets. The paper goes on to study the potential for labour market and fiscal policies to stabilize unstable macroeconomies.     

ON THE ANALYSIS OF VARIANCE FOR BETA – BINOMIA

The beta–binomial distribution is reported in literature as a useful generalization of the binomial in case of heterogeneous binomial sampling. An extra model parameter is introduced to accommodate for extra–binomial variation. Some additions to results already available will be given by presenting approximate F–tests for factorial designs, where the response variable is of 0–1 type and sampling is heterogeneous binomial. These tests can be used when sample sizes are large and equal and some degrees of freedom are left from replicates or negligible interactions to estimate the extra model parameter.