The effect of corruption on microfinance loan portfolio: A semiparametric analysis

In this paper, we examine the extent to which corruption affects the loan portfolio of microfinance institutions (MFIs). We employ robust econometric estimation on a sample of 507 MFIs across 63 countries from 2005 to 2018. Our results show that corruption is negatively associated with the loan portfolio. However, in semiparametric analysis, we find that lower-level corruption is beneficial to increase the loan portfolio while higher-level corruption is detrimental. The results imply that it is not just corruption that matters as far as its effect on MFIs' loan portfolio is concerned; what matters is the degree of corruption. In further analyses, we find that corruption reduces both the number of active borrowers and average loan per borrower indicating that corruption reduces both coverage and amount of credit extension. The results suggest that the effect of corruption on the loan portfolio is gender-sensitive. Corruption facilitates an increase in loans to female borrowers. Our results are robust to alternative variable measurements and different identification strategies, including two-stage least square.     

The long-run effect of aid on health: evidence from panel cointegration analysis

Although a major objective of aid donors is to improve health outcomes in recipient countries, there is relatively little research on whether aid to the health sector leads to improved health outcomes, and even less on the impact of total aid. This paper examines the relationship between total aid and population health using panel cointegration and causality techniques designed to deal with problems afflicting previous aid-health studies: spurious regressions, omitted variables, endogeneity, cross-sectional dependence, and parameter heterogeneity. The main results are: (i) aid has, on average, a small but negative long-run effect on health, (ii) while the long-run (or trend) effect of aid on health is negative, the short-run (temporary) effect of aid on health is positive, (iii) causality runs in only one direction, from aid to health, and (iv) aid worsens health mainly in sub-Saharan countries, but has a positive, albeit statistically insignificant, long-run impact on health in Latin American and Caribbean countries and in countries with negative values of net ODA.     

The interaction effect of economic freedom and democracy on corruption: A panel cross-country analysis

This paper examines the effects of economic freedom, democracy and its interaction term on controlling corruption. Interactive results indicate that economic freedom and democracy significantly combat corruption. Economic freedom reduces corruption in any political environment. Democracy increases corruption when economic liberalization is low.     

Outreach and performance of microfinance institutions: a panel analysis

Using a panel of 764 microfinance institutions (MFIs) from 87 countries, this study analyses the possible trade-off between outreach and performance and shows that greater depth of outreach has a positive impact on the financial performance of an MFI. The empirical results of this study should dispel the widely held apprehension that the recent emphasis on attainment of financial sustainability by the MFIs could seriously impair their outreach efforts and shows that outreach to the poor can actually bolster financial performance.     

Modelling the effect of the geographical environment on Islamic banking performance: A panel quantile regression analysis

While studies have focused on Islamic banking, research on the effect of the geographical environment on Islamic banks is scarce. We investigate this issue by using daily data on 12 Islamic banks in four regions (Africa, Asia, Europe, and the United States) from July 2007 to April 2016. We apply different methodological approaches (principal component analysis, panel data tests, and quantile regression). First, the principal component analysis shows that the performance of Islamic banks varies among regions. Second, the linear panel regression highlights that the geographical environment positively and significantly affects Islamic banking, suggesting the importance of externality effects. Finally, the environmental effect seems to vary with quantiles (positive effect for the lowest quantile versus negative effect for the highest quantile). This quantile specification points to nonlinearity in the environment–Islamic bank performance relationship, reflecting a time-varying discipline imposed by the Sharia board (Islamic Law). This finding helps better explain the main difference between Islamic banks in the East (Africa and Asia) and those in the West (Europe and the United States) and also enables investors to adjust their portfolio choices when considering the products of Islamic banks according to regional specificities.     

The long-run effect of foreign direct investment on total factor productivity in developing countries: a panel cointegration analysis

This paper examines the long-run effect of the level of foreign direct investment (FDI) on the level of total factor productivity (TFP) for 49 developing countries for the period 1981–2011 using panel cointegration and causality techniques. It is found that (i) FDI has, on average, a negative long-run effect on TFP in developing countries, (ii) long-run causality runs in only one direction, from FDI to TFP, (iii) in the short run, TFP has a negative effect on FDI, and (iv) the long-run effect of FDI of TFP differs between selected groups of countries: While the estimated long-run FDI–TFP coefficients are always relatively large, negative, and significant for countries with lower levels of human capital, financial development, and trade openness, the estimated effects are relatively small, insignificant, or even significantly positive for subgroups of countries with higher levels of human capital, financial development, and trade openness.     

Driving forces for research and development strategies: an empirical analysis based on firm-level panel data

This paper investigates empirically different ways to organize research and development (R&D) within Swiss firms. Based on a longitudinal data set comprising three cross-sections (1999, 2002, and 2005) of the Swiss Innovation Survey, four different types of R&D strategies could have been separated; firms combine in-house R&D with R&D co-operations (coop) or in-house R&D with external R&D (buy), or they conduct in-house R&D, external R&D, and R&D co-operations (mixed), or they exclusively rely on in-house R&D (make). It is the aim of this paper to understand what drive firms to go for different strategies. Based on econometric estimations controlling for correlations between the dependent variables and endogeneity among the independent variables, it was found that concepts related to the absorptive capacity, incoming spillovers, and appropriability, the importance of different knowledge sources, the competitive environment, costs, and skill aspects as well as technological uncertainty are essential factors to determine a firm's decision to choose a specific way to organize R&D.     

Portfolio choice of financial investors and European business cycle convergence: a panel analysis for EU countries

We investigate the linkage between business cycle convergence and financial portfolio choice for a panel of 18 EU countries. We construct an index of similarity of financial portfolios which we then put into context with the view that “the financial world” has an impact on business cycles and contributes to business cycle convergence via the consumption-wealth linkage. The model which guides our analysis is the International Asset Pricing Model (IAPM). Portfolios of the 18 EU countries investigated by us turn out to become more similar over time. According to our fixed effects GMM TSLS estimations, similar portfolios contribute to a convergence of business cycles—via a convergence of consumption cycles. This turns out to be especially true for country-pairs that include euro area non-member countries and, thus, have quite different income and wealth structures.     

The productivity-wage and productivity-employment nexus: a panel data analysis of Indian manufacturing

This article investigates the long-run relationship between labour productivity and employment, and between labour productivity and real wages in the case of the Indian manufacturing sector. The panel data set consists of 17 two-digit manufacturing industries for the period 1973–1974 to 1999–2001. We find that productivity-wages and productivity-employment are panel cointegrated for all industries. We find that both employment and real wages exert a positive effect on labour productivity. We argue that flexible labour market has a significant influence on manufacturing productivity, employment and real wages in the case of Indian manufacturing.     

Exports and growth: a causality analysis for the pulp and paper industries based on international panel data

This study examines the causal relations between exports and domestic production in the pulp and paper industries. The issue is whether exports are the engine of growth, or whether exports follow growth. The data were time-series of the 15 main exporting countries between 1961 and 1995. The method was Granger-causality analysis with error correction, based on models estimated in three ways: ordinary least squares by country, least squares with dummy variables (LSDV), and seemingly unrelated regression. Regardless of method, the strongest relation was an instantaneous (within a year) feedback between exports and production. The LSDV results implied average multipliers across countries of 1.2 to 1.4 from exports to production, and 0.20 to 0.25 from production to exports, in both industries. Experiments with monthly data on the pulp industries of Canada and the USA showed that temporal aggregation could affect the Granger-causality test results.     

Patents, firm size and financial constraints: an empirical analysis for a panel of Italian manufacturing firms

The paper empirically investigates the issue of financial constraintsto investment, focusing on its relationship with innovationactivities. The study is based on the analysis of a cross-industriespanel of 804 Italian companies, observed through the years 1995–2000.The main objective of the study is to highlight whether thereare financial determinants underlying the strong bias of patentingactivity towards larger companies in the Italian economy. Byapplying a dynamic panel analysis, we found that only the firmsshowing lower financial constraints are able to keep a sustainedpatenting profile through time. Our evidence suggests the existenceof an imperfect capital market in the Italian economy, particularlyin the case of medium-sized companies, which tend to delay inefficientlythe start of in-house R&D activities.     

Interaction of public and private investment in Southern Africa: a dynamic panel analysis

While the debate on the crowding-in-out effects of public investment on private investment largely seems to point towards a crowding-in effect in developing economies and the opposite in advanced economies, considerable evidence exists on the inconclusiveness of such findings across countries and regions. This study uses two investment models, Koyck’s flexible accelerator and Jorgenson’s neoclassical with error correction modified to empirically capture the structural and institutional characteristics of the Southern African region, to investigate crowding-in effects in one of the world’s most underdeveloped regions, Southern Africa. The study’s models reject the existence of crowding-in effects even when the public investment component of transport and communication is used. However, the study unveils macroeconomic uncertainty, market size, and capital availability as binding constraints on private investment in Southern Africa.     

Determinants of violent and property crimes in England and Wales: a panel data analysis

We examine various determinants of property and violent crimes by using police force area level (PFA) data on England and Wales over the period of 1992–2008. Our list of potential determinants includes two law enforcement variables namely crime-specific detection rate and prison population, and various socio-economic variables such as unemployment rate, real earnings, proportion of young people and the Gini Coefficient. By adopting a fixed effect dynamic GMM estimation methodology we attempt to address the potential bias that arises from the presence of time-invariant unobserved characteristics of a PFA and the endogeneity of several regressors. There is a significant positive effect of own-lagged crime rate. The own-lagged effect is stronger for property crime, on an average, than violent crime. We find that, on an average, higher detection rate and prison population leads to lower property and violent crimes. This is robust to various specifications. However, socio-economic variables with the exception of real earnings play a limited role in explaining different crime types.     

Patterns and determinants of the horizontal and vertical intra-industry trade of regions: panel analysis for Spain & Poland

ABSTRACT

Most of the empirical studies in the literature on intra-industry trade are conducted at the country level. Countries, however, differ in terms of granularity and internal heterogeneity. In the present study we empirically identify the determinants of the overall IIT as well as its horizontal and vertical components in the trade of Spanish and Polish NUTS-2 regions with all existing trade partners over the period 2005–2014. In order to obtain unbiased results, we utilize a semi-mixed effect model, estimated with the PPML method. We estimate the models jointly for all Spanish and Polish regions and then disjointly in a comparative manner – in order to identify incongruities of reaction to the various factors investigated. These include both traditional factors and a number of unorthodox factors such as regional path dependence, quality of regional institutions, the core or peripheral status of the reporting region.     

Respondent direct experience and contingent willingness to pay for new commodities: a switching endogenous interval regression analysis

Most environmental economists argue that direct experience with the good being valuated, or with similar goods, is a precondition for providing valid willingness to pay (WTP) responses to contingent valuation questions. Two questions are posed in this article. The first is whether previous use experience of a resource (Séné nature reserve) similar to that being valuated (future nature reserves) and located in the same geographical area (Gulf of Morbihan) impacts on WTP. The second is whether accounting for the endogeneity of direct experience matters in the estimation of WTP. We find that respondents who have not experienced the Séné nature reserve provide value estimates that are statistically comparable to that of respondents who have experienced it. Our assumption is that respondents have acquired sufficient and adequate experience of future nature reserves from the questionnaire that experience obtained by experiencing the Séné nature reserve was not necessary for making a valid value formulation. Hence, aggregation of WTP estimates to obtain a total valuation of the future nature reserves is reasonable over the full target population. In addition, our results show that direct experience is endogenously determined; but controlling for the endogeneity has a marginal effect on WTP estimates.     

Income inequality,unemployment, and suicide: a panel data analysis of 15 European countries

One of the reasons behind the re-negotiation of the Lomé Convention, resulting in the Cotonou Agreement, was the alleged inability of the trade provisions of Lomé to increase the African, Caribbean and Pacific (ACP) countries' market share of the European Union (EU) market. The Cotonou Agreement may lead to the more advanced ACPs being granted future market access to the EU under a generalized system of preferences (GSP), in conformity with World Trade Organization (WTO) rules. To this end, this paper makes a comparative analysis of the effects of the EU's Lomé Convention and GSP on exports of developing countries using a gravity type of model. The results indicate positive and statistically significant export effects of the both the Lomé Convention and the GSP. The export effects are greater in case of the Lomé Convention throughout the study period running from 1973 to 1992. In addition, the paper illustrates the EU country distribution of the export effects and shows that Belgium and The Netherlands are the EU countries that most have increased their imports from the developing countries under both the Lomé Convention and the GSP.     

A new valuation question: analysis of and insights from interval open-ended data in contingent valuation

This paper introduces a type of open-ended valuation question where respondents state their willingness to pay in the form of an interval rather than a point estimate. Allowing the response to be expressed as an interval has advantages compared to traditional valuation questions: it captures potential valuation uncertainty, facilitates interpretation of uncertainty and most importantly, provides a richer set of information about individuals’ preferences. Furthermore, an open-ended willingness to pay format has advantages if a survey is carried out in more than one country. Too little is known about valuation uncertainty to represent willingness to pay only as an exact value. Therefore, this value should be complemented by upper and lower boundary estimates. In this paper I present new methods for estimating these different values. The methods are illustrated with results from a survey concerning wild salmon in the Vindel River, northern Sweden. The results suggest that the upper and lower boundaries provide a kind of confidence interval for the willingness to pay, which is encouraging for estimating these values to characterise willingness to pay. The results also illustrate that some earlier criticism in the literature of open-ended questions does not apply to the question presented in this paper.     

Foreign direct investment and technology spillovers: Evidence from panel data analysis of manufacturing firms in Zambia

The most pronounced reason for providing fiscal incentives to attract foreign direct investment (FDI) is that FDI is an effective conduit for technology transfer through technology spillovers to domestically owned firms in the host country. This study analyzes the nature and significance of productivity externalities of FDI to local firms, both in terms of intra-industry and inter-industry spillovers, using firm-level data from Zambia. The results show little evidence in support of intra-industry productivity spillovers from FDI on one hand, and significant inter-industry knowledge spillovers occurring through linkages. The net impact of FDI depends on the interaction between intra-industry and inter-industry productivity effects.     

Treatment patterns and predictors of costs among patients with migraine: evidence from the United States medical expenditure panel survey

Abstract

Aim: Within a treated migraine population, to evaluate if the sub-group meeting criteria for high disease-specific total costs is significantly different to the sub-group with medium and/or low-costs, and to identify the associated risk factors.

Methods: Data from the Household Component of Medical Expenditure Panel Survey (MEPS-HC, 2008–2012), a nationally representative survey of non-institutionalized civilians in the US, were analyzed. Key inclusion criteria were migraine diagnosis (ICD-9 code: 346.XX) and prescribed treatment for migraine. Patients were categorized into high (>top 10th percentile), low (<bottom 10th percentile), and medium (between high and low) cost sub-groups per migraine-specific total costs. Logistic regression models were applied to identify predictors of high vs medium and medium vs low-costs. Preventive eligibility, defined as (i) past/current use of migraine preventives or (ii) overuse of acute medications, was compared to non-preventive eligibility.

Results: Within the treated migraine cohort (n?=?1,735), the mean age was 39?years, 80% were female, and the majority were in the medium-cost sub-group (n?=?1,360) (low-cost n?=?190, high-cost n?=?195). Significant predictors of high vs medium-costs were low SF-12 Physical Composite Scores (OR?=?0.95; 95% CI?=?0.92–0.97), low SF-6D health utility index scores (OR?=?0.019; 95% CI?=?0.002–0.193), preventive eligibility-i (OR?=?0.019; 95% CI?=?0.002–0.193), and preventive-eligibility-ii (OR?=?3.10; 95% CI?=?1.62–5.91). Statistically significant (p?<?0.05) predictors of medium vs low-costs included anxiety, Fleishman score, preventive-eligible-i, and preventive-eligible-ii.

Conclusions: Among patients treated for migraine, distinct characteristics, including patient-functioning measures and comorbidities, are predictive of high vs medium-costs, and medium vs low-costs. Preventive eligibility is a predictor of being in the higher cost sub-groups; however, preventive treatments that improve functioning and reduce acute medication use have the potential to reduce migraine-specific costs.

Limitations: The results are limited to a population that is diagnosed and treated for migraine. Over-the-counter medication use, and migraine headache frequency and severity were not captured.     

An empirical analysis of remittance flows into West African Economic and Monetary Union: a panel time-series approach

The article empirically analyses the motivations and long-run economic outcomes of remittance inflows into the West African Economic and Monetary Union. Using Westerlund’s (2007) ECM for panel time series and data spanning 1975–2011, the results show that there is no evidence of a long-run impact of remittances on income per capita in the region. The inflows seem to be motivated by investment, but the money may be used to promote consumption instead. This phenomenon could be characterized by information asymmetry between migrants and the recipients.