Output growth and investment dynamics in Finland: a panel data analysis

This study analyzes the relationship between output growth and investment in a panel of 20 regions of Finland over the period 1975–2007. This regional study uses Granger non-causality and error-correction models. The most important finding of this study is a unidirectional causality which runs from investment to output growth. The study also verifies the existence of a positive association between growth and investment for the panel of 20 regions of Finland. These findings reconcile with the capital fundamentalists.     

The (un)reliability of real-time output gap estimates with revised data

This paper investigates the differences between real-time and ex-post output gap estimates using a newly-constructed international real-time dataset over the period from 1973:Q1 to 2012:Q3. We extend the findings in Orphanides and van Norden (2002) for the United States that the use of ex-post information in calculating potential output, not the data revisions themselves, is the major cause of the difference between real-time and ex-post output gap estimates to nine additional OECD countries. The results are robust to the use of linear, quadratic, Hodrick–Prescott, Baxter–King, and Christiano–Fitzgerald detrending methods. By using quasi real-time methods, reliable real-time output gap estimates can be constructed with revised data.     

Output gap uncertainty: Does it matter for the Taylor rule?

This paper analyses the effect of measurement error in the output gap on efficient monetary policy rules in a simple estimated model of the US economy. While it is a well-known result that such additive uncertainty does not affect the optimal feedback rule in a linear-quadratic framework, it is shown that output gap uncertainty can have a significant effect on the efficient response coefficients in restricted instrument rules such as the popular Taylor rule. Output gap uncertainty reduces the response to the current estimated output gap relative to current inflation and may partly explain why the parameters in estimated Taylor rules are often much less than what optimal control exercises which assume the state of the economy is known suggest. First version received: September 2000/Final version received: February 2001     

Reliable real-time estimates of the euro-area output gap

The paper provides real-time estimates of the euro-area output gap, based on a standard medium scale DSGE model estimated recursively with Bayesian techniques over the period 1985q1-2019q2. Unlike measures of output gap obtained by means of statistical filtering techniques, real-time DSGE-based estimates are remarkably stable and hence are less prone to ex-post revisions, which implies a higher reliability over time of model-based measures of the output gap.     

Tracking real-time data revisions in inflation persistence

Regarding the forecasting of real-time data, it is assumed that the third quarter release produces the best forecasts since it includes data from new and revised sources, which this paper finds is not necessarily the case. There seems to be a benchmark effect when estimating the local nonparametric regressions and the forecasts of real-time PCE and core PCE when examining the four benchmark periods beginning in 1996:Q1, 1999:Q4, 2003:Q4, and 2009:Q3. There is a benchmark effect with respect to the estimated local nonparametric slopes with the demarcation being at the 2003:Q4 benchmark, which is also the demarcation for the forecasting results. For the benchmark revisions periods of 1996:Q1 and 1999:Q4, the second quarter real-time data releases produce the smaller RMSE and for the benchmark revisions of 2003:Q4 and 2009:Q3, the third quarter real-time data releases produce forecasts with smaller RMSE approximately 58% and 60% of the time, respectively.

Abbreviations: PCE, Personal Consumption Expenditures; KWLS, Kernel Weighted Least Squares; "V_" as a prefix stand for vintage, i.e. V_2003:Q4 is vintage 2003:Q4, which means that the data sample ends in 2003: Q3; IRSC, integrated residual squares criterion; NPISH, Non-Profit Institutions Serving Households; SNA, System of Accounts; RMSE, Root Mean Square Error; MAE, Mean Absolute Error; NAICS, North American Industry Classification System; SIC, Standard Industrial Classification; ARSC, Average Residual Squares Criterion; I-O, Input – Output; EIA, Energy Information Administration; ATM, Automated Teller Machines; BEA, Bureau of Economic Analysis; SNA, System of Accounts     

Output gap measurement and the New Keynesian Phillips curve for China

The New Keynesian Phillips curve implies that the output gap, the deviation of the actual output from its natural level due to nominal rigidities, drives the dynamics of inflation relative to expected inflation and lagged inflation. This paper exploits the empirical success of the New Keynesian Phillips curve in explaining China's inflation dynamics with a new measure of the output gap. We estimate the output gap using the Bayesian multivariate Beveridge–Nelson decomposition method, based on a multivariate dynamic model featuring distinct interactions among inflation, money, and real output in China. The empirical results using quarterly data spanning 1979–2010 show that the new measure of the output gap outperforms the traditional measures in fitting the New Keynesian Phillips curve. This result provides useful insights for inflation dynamics and monetary policy analysis in China.     

Bridging the gap in creative economy and ICT research: a regional analysis in Europe

ABSTRACT

Following Florida’s seminal work on the ‘creative class’ there is a great deal of interest concerning whether creativity, as an input, is important for regional growth. Answering this question requires developing a production framework that can distinguish creativity from other inputs. With data from Europe, this paper integrates the concept of information and communications technology (ICT) and the creative class into a theoretical production function. Findings reveal that not only is there a positive and interactive relationship between creative workers and ICT, but the combination of creative workers and ICT leads to higher levels of GVA growth. Moreover, creative workers were found to have a larger impact on growth in comparison with traditional human capital measures (i.e. graduates). Thus, findings from this research suggest that the creative class should not only pay attention to socio-economic preferences of individuals, but it must include wider social resources, such as ICT.     

Video game demand in Japan: a household data analysis

Various economic studies of the video game industry have focused on intra-industry details. This article complements the approach by highlighting broader budget allocation by households. Using the ‘total households’ data of the Family Income and Expenditure Survey, this article estimates the demand model for video games. Estimation results show the effects of household income and demographic factors and prices of goods on the expenditure share of video games. These results indicate the importance of explicitly considering a households' budget allocation, or at least, including information on households.     

The gender reservation wage gap: Evidence from British Panel data

Our findings suggest the existence of a gender reservation wage gap. The presence of children, particularly pre-school age children, plays an important role in determining the proportion of this gap that can be explained by individual characteristics.     

Commodity prices and the AUD-Yen exchange rate: a real-time forecasting analysis

I study the impact of the GSCI commodity price indices on the Australian dollar-Japanese yen nominal exchange rate using a modified version of the classic monetary approach of exchange rate determination. I use a broad range of model-selection and model-averaging criteria. I find some evidence for a short-lived relationship as far as inclusions in the optimal forecasting models are concerned. In general, though, results of the Diebold-Mariano and Clark-West test show that results are not stable over the whole sample.     

The reliability of real-time estimates of the euro area output gap

This paper provides evidence on the reliability of euro area real-time output gap estimates. A genuine real-time data set for the euro area is used, including vintages of several sets of euro area output gap estimates available from 1999 to 2010. It turns out that real-time estimates of the output gap tend to be characterised by a high degree of uncertainty, much higher than that resulting from model and estimation uncertainty only. In particular, the evidence indicates that both the magnitude and the sign of the real-time estimates of the euro area output gap are very uncertain. The uncertainty is mostly due to parameter instability and model uncertainty, while data revisions seem to play a minor role. Some euro area real-time measures, based on multivariate components models and capacity utilisation, are relatively less uncertain, but do not appear to be fully reliable along some dimensions. To benchmark our results, we repeat the analysis for the US over the same sample. It turns out that US real-time estimates tend to be revised to a lesser extent than euro area estimates. However, euro area real-time output gap estimates tend to display a higher correlation with the final estimates and the sign of the level of US real-time estimates tends to be revised more often compared to the corresponding euro area estimates. In addition, the data revision component of the revision error is larger for US estimates than for the euro area. Overall, the unreliability in real-time of the US output gap measures detected in earlier studies is confirmed in the more recent period.     

Forecasting with real-time macroeconomic data: The ragged-edge problem and revisions

Real-time macroeconomic data are typically incomplete for today and the immediate past (‘ragged edge’) and subject to revision. To enable more timely forecasts the recent missing data have to be imputed. The paper presents a state-space model that can deal with publication lags and data revisions. The framework is applied to the US leading index. We conclude that including even a simple model of data revisions improves the accuracy of the imputations and that the univariate imputation method in levels adopted by The Conference Board can be improved upon.     

Income and religion: a heterogeneous panel data analysis

A recent empirical literature has addressed the relationship between income and religion, but most of the studies are based on microdata. Macroeconomic analysis of the issue has largely ignored the potential heterogeneity between countries. Using retrospective data on church attendance rates for a panel of countries between 1925 and 1990, we apply heterogeneous panel data estimators and reveal that the effect of participation in religious activities on income per capita is mostly non-significant. This is consistent with some of the recent research that casts doubt onto the influence of religion on income, once causality is taken into account.     

Understanding wage determination in a multi-level bargaining system: a panel data analysis

This article presents an estimation of the elasticity of actual wages to industry-level collective bargaining thereby quantifying empirically the role of industry-level bargaining on wage determination. For this purpose, we use a unique employer–employee panel dataset covering the entire Belgian employment population over 9 years (1998–2006). Like several other European countries, e.g. Germany, France, Italy and the Netherlands, Belgium has a relatively centralised wage bargaining system, with the industry level playing the most important role. Regression results confirm that wage increases collectively decided at the industry level are, on average, fully passed on to individual wages. In addition to industry-level bargaining, we are interested in the supplementary wage increases granted at the firm level, referred to as wage drift or wage cushion in the literature. Our estimates show that wage drift is affected by company size, by the economic performance of the industry and to a much lesser extent by labour market tensions as measured by the local unemployment rate. Interestingly, our results show that industry-level bargaining also takes most of these features into account.     

Gender equality and economic growth in Brazil: A long-run analysis

This paper studies the long-run impact of policies aimed at fostering gender equality on economic growth in Brazil. The first part provides a brief review of gender issues in the country. The second part presents a gender-based, three-period OLG model that accounts for women’s time allocation between market work, child rearing, human capital accumulation, and home production. Bargaining between spouses depends on relative human capital stocks, and thus indirectly on access to infrastructure. The model is calibrated and various experiments are conducted, including investment in infrastructure, a reduction in gender bias in the market place, and a composite pro-growth, pro-gender reform program. The analysis showed that fostering gender equality, which may partly depend on the externalities that infrastructure creates in terms of women’s time allocation and bargaining power, may have a substantial impact on long-run growth in Brazil.     

Market share instability in Brazilian industry: a dynamic panel data analysis

The paper investigates market share instability in the context of Brazilian industry for the 1986–1998 period. The paper proposes the use of panel data unit root tests to access market share instability for a sample of industrial firms from different sectors and therefore generalizes related time series unit root tests proposed by Gallet and List (2001 Gallet, CA and List, JA. 2001. Market share instability: an application of unit root tests for the cigarette industry. Journal of Economics and Business, 53: 473–80.  ). The results mostly indicate that one cannot reject the hypothesis of market share instability and therefore there exist some degree of market rivalry in the Brazilian case.     

Deep habits in consumption: a spatial panel analysis using scanner data

Using scanner data from a large European retailer, this paper empirically assesses deep habit formation in consumption. Deep habit formation constitutes a possible source of price stickiness and helps to mimic procyclical labour and real wage dynamics that are present in macrodata. To gauge the existence and the extent of deep habits in consumption, we estimate a dynamic time–space simultaneous model for consumption expenditure at different levels of product aggregation. This spatial panel model enables us to test for both internal and external deep habit formation at the same time. The former captures inertia or persistence in consumption and is included in the empirical specification as a time lag. The latter captures preference interdependence across households and is captured by a spatial lag. Our results show mixed evidence with respect to internal habit formation, whereas the external habit effect is almost always positive and significant.     

Pursuing efficiency: a data envelopment analysis of MFIs in Latin America

This article analyses the overall profitability efficiency (PE) of Microfinance Institutions (MFIs) in Latin America. The PE of each MFI in the study is broken down into two components: pure technical efficiency and scale efficiency. One data envelopment model is used to analyse each component. Each MFI was labelled as either a bank, cooperative and credit union, nonbanking financial institution or non-governmental organization, and then the analysis was performed on each separate group. The results suggest that, on average, banks are the most efficient MFIs; while NGOs are, on average, the least efficient MFIs. On average, all 4 groups are more pure technically efficient than scale efficient. Banks, nongovernmental organizations, nonbanking financial institutions, cooperatives and credit unions all seem to have problems with scale efficiency. Many MFIs seem to be operating on the increasing returns to scale frontier and are in a more favourable position for expansion.     

Determinants of international tourism: a three-dimensional panel data analysis

International tourism is a fast growing industry generating half a trillion dollars in annual revenues and accounting for almost 10%?of total international trade, and almost half of total trade in services. Yet, it has so far failed to receive the attention it deserves from mainstream economics. This paper attempts to provide an initial understanding of the determinants of international tourism. This paper claims that international tourism, as other forms of trade in services, is driven by unique factors of production, and may be better dealt with in a single industry study rather than in a general equilibrium trade model. In order to understand these determinants the world is viewed as a market of differentiated products, and a discrete choice estimation technique is applied to a large three-dimensional data set of tourist flows. It is shown that a relatively simple estimation technique, combined with a rich data set, can deliver reasonable substitution patterns. It is found, among other things, that political risk is very important for tourism, and that exchange rates matter mainly for tourism to developed countries. These have exchange rate elasticity of about one.     

Entrepreneurship and income inequality: a spatial panel data analysis

The main objective of this paper is to empirically analyze the relationship between entrepreneurship and income inequality. We use a spatial panel data analysis for both 33 high-income countries and 39 middle- and low-income countries over a period of 11 years. Estimation results and rigorous diagnostic analysis suggest that: (i) there is a strong support for the existence of an inverted U-shaped relationship between entrepreneurship and income inequality espoused by the Kuznets Curve hypothesis; (ii) the relationship between entrepreneurship and income inequality is negatively moderated by country’s level of economic development; (iii) regardless of income inequality levels, entrepreneurship has a non-linear relationship with income per capita; (iv) gross domestic expenditure on research and development exhibits significant negative impacts on entrepreneurship; (v) significant mixed effects on the likelihood of entrepreneurial activity are observed with governance, globalization, population growth rate, and competitiveness variables; (vi) there are significant mixed feedback effects on entrepreneurship; and (vii) there are statistically significant, positive as well as negative spatial spillovers to country-level entrepreneurial activity.