Is it easier to publish in journals that have low impact factors?

We use publication data from all journals in economics, mathematics, physics and chemistry. We compute the ratio of publications that come from the top 25 US departments for each journal and use it as a measure of difficulty to publish in a journal. We find that there is a rather weak but positive correlation (0.20) between the impact factor and the difficulty measure.     

Re-examining the threshold effects in the inflation–growth nexus with cross-sectionally dependent non-linear panel: Evidence from six industrialized economies

This paper analyzes the empirical relationship between inflation and output growth using a novel panel data estimation technique, Panel Smooth Transition Regression (PSTR) model, which takes account of the non-linearities in the data. By using a panel data set for 6 industrialized countries that enable us to control for unobserved heterogeneity at both country and time levels, we find that there exists a statistically significant negative relationship between inflation and growth for the inflation rates above the critical threshold level of 2.52%, which is endogenously determined. Furthermore, we also control cross-section dependency by using the CD test modified to non-linear context and remedy cross-section dependency with Seemingly Unrelated Regression Equations through Generalized Least Squares (SURE-GLS) and newly proposed Common Correlated Effects (CCE) estimation techniques. We find that these methods change the critical threshold value slightly. The estimated threshold values from these estimation methods are 3.18% and 2.42%, respectively.     

Structural break,nonlinearity and asymmetry: a re-examination of PPP proposition

In this study, we examine the validity of the PPP proposition for 28 European countries. For this purpose, we propose a new unit root test procedure that allows for both gradual structural breaks and asymmetric nonlinear adjustment towards the equilibrium level. Small-sample properties of the new tests are examined through Monte-Carlo simulations. The simulation results suggest that the new tests have satisfactory size and power properties. We then apply these new tests along with other unit root tests to examine stationarity properties of real exchange rate series of the sample countries. Our tests reject the null of unit root in more cases when compared to alternative tests. Overall, we find that the PPP proposition holds in majority of the European countries examined in this article.     

Citation performance of thirty keywords in economics

Keywords of a publication may be indicative of its subfield. In this paper, we analyse citation performance of thirty keywords to understand differences in intra-field citation performance in economics. First, citation performance of publications that contain a certain keyword is computed. Then, adjustments are made for the publication year and the publishing journal. Keywords such as ‘growth’, ‘inference’ and ‘institutions’ have above average citation performance in all adjustments. Lastly, the trend in the frequency of publications that contain a certain keyword is explored.     

Birthday effect

According to the Turkish legal code, a student born in December must enrol in primary school alongside students born 11 months earlier in January. In this study, Turkish college admissions data is used to measure the effect of younger enrolment in primary school. It was found that students who are born in the second half of the year are less likely to be from selective public high schools, and are less likely to be successful in college admissions test. These results are consistent with disadvantages associated with younger enrolment in primary school.     

Does real U.K. GDP have a unit root? Evidence from a multi-century perspective

ABSTRACT

We employ linear and nonlinear unit-root tests to examine the stationarity of five multi-century historical U.K. series of real output compiled by the Bank of England. Three series span 1270 to 2016 and two series span 1700 to 2016. These datasets represent the longest span of historical real output data available and, thus, provide the environment for which unit-root tests are most powerful. A key feature of our test is its simultaneous allowance for two types of nonlinearity: time-dependent (structural breaks) nonlinearity and state-dependent (asymmetric adjustment) nonlinearity. The key finding of the test, contrary to what other more popular nonlinear unit-root tests suggest, provides strong evidence that the main structure of the five series is a stationary process characterized by an asymmetric nonlinear adjustment and a permanent break affecting both the intercept and the trend. A major policy implication of this finding is fiscal and/or monetary stabilization policies have only temporary effects on the output levels of the United Kingdom.     

Is there really hysteresis in the OECD unemployment rates? New evidence using a Fourier panel unit root test

Empirica - We investigate the hysteresis hypothesis by proposing a heterogeneous panel unit root test that allows for gradually changing trends and cross-sectional dependence (CSD) among panel...     

Promoting investment in the Turkish construction sector: a structural path analysis

The construction sector in Turkey boomed in the period between the turn of the millennium and the onset of the global crisis. This paper studies the employment generation effects of growth of this sector, taking into account that it not only depends on domestic production factors but also on imported inputs. In order to unravel the interactions of the construction sector with the rest of the economy, structural path analysis of both labour and imported intermediate input demand generation is used based on the 2002 and 2009 WIOD data for Turkey. The findings indicate that labour linkages weakened between 2002 and 2009, while import linkages became slightly stronger. The sectors that have played key roles in this are identified, as are the linkages between these. The findings have implications for the persistent unemployment and current account deficits in Turkey.     

Forecasting (aggregate) demand for US commercial air travel

We analyze whether it is better to forecast air travel demand using aggregate data at (say) a national level, or to aggregate the forecasts derived for individual airports using airport-specific data. We compare the US Federal Aviation Administration’s (FAA) practice of predicting the total number of passengers using macroeconomic variables with an equivalently specified AIM (aggregating individual markets) approach. The AIM approach outperforms the aggregate forecasting approach in terms of its out-of-sample air travel demand predictions for different forecast horizons. Variants of AIM, where we restrict the coefficient estimates of some explanatory variables to be the same across individual airports, generally dominate both the aggregate and AIM approaches. The superior out-of-sample performances of these so-called quasi-AIM approaches depend on the trade-off between heterogeneity and estimation uncertainty. We argue that the quasi-AIM approaches exploit the heterogeneity across individual airports efficiently, without suffering from as much estimation uncertainty as the AIM approach.     

The effects of inflation uncertainty on interest rates: a nonlinear approach

In this article, we investigate the effects of inflation variability on short-term interest rates within a nonlinear smooth transition regression framework. The test results suggest that only the conditional mean of the inflation is a nonlinear process whereas the conditional variance is time variant but linear. Using the square root of conditional variance as a proxy for inflation risk, we estimate Fisher equation augmented with inflation risk. Although the estimated Fisher equations suggest that inflation risk reduces short-term interest rates, we find that the effects of inflation risk on interest rates are regime-dependent. Particularly, we find that the negative effects of inflation variability on nominal rates are greater in low-inflationary regimes when compared to high-inflationary regimes. On the other hand, it is found that both inflation and inflation uncertainty raise the expected inflation effect.