Asymmetric effects of industrial production,money supply and exchange rate changes on stock returns in Turkey

The aim of this article is twofold: First, it examines the asymmetric effects of industrial production, money supply and RER on stock returns in Turkey by using the non-linear autoregressive distributed lag (NARDL) model over the periods of 1994:01–2017:05 and 2002:01–2017:05. Second, it tries to determine whether there is a change of these macroeconomic variables’ effects on stock returns after the 2001 financial crisis since after 2002 period represents a structural break from the past in terms of economic, political and macroeconomic policy approaches. The study finds that the effects of the changes in industrial production, money supply and RER on stock returns are asymmetric, and the asymmetries are larger after the 2002 subsample compared to the full sample period. The empirical results further suggest that tight monetary policies appear to retard the stock returns more than easy monetary policies that stimulate them.     

Why (not) cooperate? A cognitive model of farmers’ intention to join producer groups in Romania

After the breakdown of the communist regime in Romania, collective farms were replaced by a large number of small-scale private farms. Although cooperation seems to be a favourable choice for these smallholders, it did not develop as perhaps expected. This article explores the factors that determine the formation of the intention of Romanian vegetable farmers to join marketing cooperatives in the form of so called producer groups. Our theoretical framework refers to Ajzen’s Theory of Planned Behaviour, which we model with a structural equation model. We identified as main intention drivers the expectation for better prices and easier access to capital. Perceived family support is another significant factor. The level of distrust is high. Although our trust variable is not significant as a predictor of the intention to cooperate in the model, we find qualitative indications that trust plays a role when the intention is translated into actual behaviour.     

The evolution of the monetary transmission channels in Turkey: evidence from a TVP-VAR model

This article investigates the evolution of the monetary transmission mechanisms in Turkey for the period from January 1986 to December 2016. To this aim, the impacts of monetary variables on the prices and economic activity are investigated with a time-varying vector autoregressive model based on. The evidences from the time-varying responses indicate that the adoption of inflation targeting policy has markedly affected the functioning of transmission channels. The results also suggest that local and global financial crises may magnify the impact of monetary policy shocks on the overall economy.     

Corruption,growth, and growth volatility

While the existing studies focus on the corruption–growth relationship, this paper introduces a new focus involving corruption and growth volatility. The Ehrlich–Lui (1999) framework provides the theoretical background of the paper, which produces testable hypotheses regarding the corruption–growth and the corruption–growth volatility relationship. The cross-section dataset that is used in the empirical analysis contains 121 developed and developing countries. In terms of the relationship between the governance-related variables and growth rates, only corruption control and government effectiveness significantly and adversely affect the average growth rate. Regarding the relationship between growth volatility and governance-related variables, the results suggest that higher corruption control, expropriation risk control, government effectiveness, and government consumption decrease growth volatility.     

Heteroskedasticity-consistent covariance matrix estimators for spatial autoregressive models

In the presence of heteroskedasticity, conventional test statistics based on the ordinary least squares (OLS) estimator lead to incorrect inference results for the linear regression model. Given that heteroskedasticity is common in cross-sectional data, the test statistics based on various forms of heteroskedasticity-consistent covariance matrices (HCCMs) have been developed in the literature. In contrast to the standard linear regression model, heteroskedasticity is a more serious problem for spatial econometric models, generally causing inconsistent extremum estimators of model coefficients. This paper investigates the finite sample properties of the heteroskedasticity-robust generalized method of moments estimator (RGMME) for a spatial econometric model with an unknown form of heteroskedasticity. In particular, it develops various HCCM-type corrections to improve the finite sample properties of the RGMME and the conventional Wald test. The Monte Carlo results indicate that the HCCM-type corrections can produce more accurate results for inference on model parameters and the impact effects estimates in small samples.     

Security in a sea of insecurity: job security and intention to stay among service sector employees in Turkey

This article examines the association between job security and intention to stay for those who are employed in Turkey. There is a high level of unemployment in the country and many workers there are concerned about their job security. Job security refers to the objective dimensions of continuous contract, working full-time hours and paid and unpaid overtime. Job security also refers to the subjective dimension of perceived job security. We surveyed 407 employees in banking and related sectors' call centres, five-star hotel front-line staff and airline cabin crews. Results show that objective dimensions of job security are not associated with intention to stay. However, perceived job security is significantly and positively associated with intention to stay. We recommend that human resource managers focus on the perceived job security aspect of employment to keep valuable employees with the company.     

Does data matter? Statewide longitudinal data systems and student performance in the U.S.

Although many industries have benefited from advances in data-driven technology, education is making small steps in capitalizing on the huge potential of data systems. Since 2005, the U.S. Federal Government has been making large grants to help states build statewide longitudinal data systems (SLDS) with the goal of improving programme and teacher evaluation and engage in data-driven decision-making. We analyse whether the introduction of SLDSs improved student performance, measured using test scores for math and reading tests for 4th and 8th graders, as well as high school graduation rates. We find no effects of SLDSs on student performance up to 10 years from implementation. However, we find suggestive evidence that these systems may have long-run effects, emphasizing the long-run nature of educational data collection and policy analysis.     

Bayesian Inference in Spatial Sample Selection Models

In this study, we consider Bayesian methods for the estimation of a sample selection model with spatially correlated disturbance terms. We design a set of Markov chain Monte Carlo algorithms based on the method of data augmentation. The natural parameterization for the covariance structure of our model involves an unidentified parameter that complicates posterior analysis. The unidentified parameter – the variance of the disturbance term in the selection equation – is handled in different ways in these algorithms to achieve identification for other parameters. The Bayesian estimator based on these algorithms can account for the selection bias and the full covariance structure implied by the spatial correlation. We illustrate the implementation of these algorithms through a simulation study and an empirical application.     

The impacts of bank-specific and macroeconomic variables on the capital adequacy ratio: evidence from Islamic banks

The study investigates the relationship between the capital adequacy ratio (CAR) and different bank-specific and macroeconomic variables for 28 Islamic banks. We document that there is a statistically significant positive relationship between the CAR and the bank-specific and macroeconomic variables. In particular, bank-specific variables such as ROA, ROE, leverage, credit risk and size show a strong association with the CAR, while on the macroeconomic side, inflation, market capitalization and exchange rate have an impact on the average Islamic bank in our sample study. Furthermore, we run another model (equity to assets ratio) as dependent, with similar control variables, and the results reveal that, except for inflation, all the variables that have a significant effect on the CAR also influence the equity to assets ratio.     

Regional inequalities and the West–East divide in Turkey since 1913

This paper examines the evolution of regional disparities within the present-day borders of Turkey since 1913. Based on our estimates for 58 provinces, we find β-convergence, an inverse U, and more recently, the beginnings of an N-shaped pattern for value added per capita. We also find that regional disparities in Turkey exhibit a number of special features that do not easily fit the well-studied pattern of the early industrializers. First, while per capita value added in other regions moved towards country averages, the differences between the East and the rest of the country persisted and even increased until recently. Second, spatial distribution of economic activity became more concentrated over time due to continued migration to the megacity of Istanbul. Third, we find that regional disparities in per capita value added in Turkey and other developing countries have been higher than those experienced by the early industrializers. These findings raise questions about the extent to which the regional disparities experiences of Turkey and other developing countries have been different than those of the early industrializers.