Conditional convergence and the dynamics of the capital-output ratio

Output per worker can be expressed as a function of technological efficiency and of the capital-output ratio. Because technology is exogenous in the Solow model, all of the endogenous convergence dynamics take place through the adjustment of the capital-output ratio. This paper uses the empirical behavior of the capital-output ratio to estimate the speed of conditional convergence of economies towards their steady-state paths. We find that the conditional convergence speed is about seven percent per year. This is somewhat faster than predicted by the Solow model and is significantly higher than reported in most previous studies based on output per worker regressions. We show that, once there are stochastic shocks to technology, standard panel econometric techniques produce downward-biased estimates of convergence speeds, while our approach does not. The views expressed in this paper are our own, and do not necessarily reflect the views of the Central Bank and Financial Services Authority of Ireland or the ESCB.     

Analyzing a panel of seasonal time series: Does seasonality in industrial production converge across Europe?

In this paper we consider deterministic seasonal variation in quarterly industrial production for several European countries, and we address the question whether this variation has become more similar across countries over time. Due to economic and institutional factors, one may expect convergence across business cycles. When these have similar characteristics as seasonal cycles, one may perhaps also find convergence in seasonality. To this aim, we propose a method that is based on treating the set of production series as a panel. By testing for the relevant parameter restrictions for moving window samples, we examine the hypothesis of convergence in deterministic seasonality while allowing for seasonal unit roots. Our main empirical finding is that there is no evidence for convergence in seasonality.     

Asymptotically unbiased estimation of autocovariances and autocorrelations for panel data with incidental trends

We consider the estimation of autocovariances using panel data with incidental trends under double asymptotics. The conventional autocovariance estimator suffers from a bias whose value is approximated by twice the long-run variance. We propose a bias-corrected estimator.     

GMM estimation of panel data models with time-varying slope coefficients

A difference/system generalized method of moments (GMM) model that imposes time-constant coefficients is common in empirical studies using panel data. However, a rejection by the Sargan–Hansen test is sometimes a serious concern for researchers. We highlight the fact that the Sargan–Hansen test for GMM estimators applied to panel data is a joint test of valid orthogonality conditions and coefficient stability over time. A possible reason for a rejection is therefore that the slope coefficients vary over time. One solution is to estimate an empirical model in which the coefficients are time specific. We apply this solution to the system GMM estimator of simple nondynamic Cobb–Douglas production functions for a selection of Swedish industries and find that relaxing the assumption of constant slope coefficients results in more satisfactory outcomes of the Sargan–Hansen test.     

改革以来中国农村发展地区差距分析

本文在扩展农业部门新古典经济增长模型的基础上,构建了基于农业生产率指数和农村地区劳动力就业结构的农村发展指标,以此来衡量农村发展水平及其变化状况.为了考察中国农村发展地区差距的变化趋势,我们采用面板数据单位根检验的不同方法对其收敛性进行了严格的计量检验.检验结果显示,在考虑了时间和省份特殊效应、序列相关等因素的影响后,中国各省农村发展差距以及东中西部地区农村发展的内部差距均存在条件性β收敛.     

Stochastic Divergence or Convergence of Per Capita Carbon Dioxide Emissions: Re-examining the Evidence

This paper revisits the time-series literature on the convergence of per capita carbon dioxide (CO₂) emissions and examines the robustness of previous results. Using a sample of OECD countries for the period 1950–2002 we employ a battery of stationarity and unit root tests including those that allow for cross-sectional dependencies within the panel. We also correct for inaccuracies in previous studies that could result in a trend-stationary series being labelled as converging even if it were actually diverging from the international average. The body of evidence provided by our analysis suggests that per capita CO₂ emissions have not converged among OECD countries during the period under consideration. This finding is of importance to both climate change policy makers and to those who construct climate change models.      

Inequality convergence

Evidence is found that within-country income inequalities have been slowly converging since the 1980s; inequality is tending to fall (rise) in countries with initially high (low) inequality. Correcting for classical measurement error in the initial inequality measures has little affect on the speed of convergence.     

Innovation dynamics in the EU: convergence or divergence? A cross-country panel data analysis

This paper investigates whether a convergence or divergence of national innovation capabilities of the 15 EU countries occurs in the course of time. An answer to this question permits immediate conclusions with regard to the success prospects of a convergence of per capita incomes and labor productivities within the EU. For the empirical analysis based on patents granted at the US-Patent and Trademark Office, unit root tests for time series and panel data are used to scrutinize the convergence hypothesis. Taking all results together, evidence points to the fact that an absolute convergence of innovation capabilities is an exception. However, for a number of countries the results suggest either conditional convergence or convergence to their own growth paths.

Copula-based tests for cross-sectional independence in panel models

This paper proposes the copula-based tests for testing cross-sectional independence of panel models.     

The effect of the Internet on economic growth: Evidence from cross-country panel data

Using cross-country panel data, we found evidence that the Internet plays a positive and significant role in economic growth after investment ratio, government consumption ratio, and inflation were used as control variables in the growth equation.     

Nonlinear models with panel data

Panel data play an important role in empirical economics. With panel data one can answer questions about microeconomic dynamic behavior that could not be answered with cross sectional data. Panel data techniques are also useful for analyzing cross sectional data with grouping. This paper discusses some issues related to specification and estimation of nonlinear models using panel data.JEL Classification: C230The research behind this paper was supported by the National Science Foundation, the Gregory C. Chow Econometric Research Program at Princeton University, and Danish National Research Foundation (through CAM at the University of Copenhagen). The author thanks Ekaterini Kyriazidou, Hong Li, Marina Sallustro, and the editors for helpful suggestions.     

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.     

Trade effects of regional integration: A panel cointegration analysis

The paper quantifies the most likely trade effects of the exceptional cases of the GATT/WTO system, namely, Regional Integration Agreements, on the selected member as well as non-member countries of the EU, NAFTA, MERCOSUR and AFTA. To this end, the gravity model was estimated through fixed effects model and panel cointegration analysis. It was found that the explanatory power of the latter has superseded the former one. For the case of EU, it was found that the intra-union trade-creation effect is approximately six times larger than extra-union effects. In NAFTA, exports to outside countries are significantly diverted. For MERCOSUR, on the other hand, results indicate that the integration has not contributed to intra-union trade. The members are still significantly dependent on extra-union imports, just like the members of AFTA.     

Fiscal adjustment in a panel of countries 1870–2016

The financial crisis from 2007 and, even more so, the Covid-19 pandemic caused large increases in public sector deficits and debts in many countries and prompted concern about fiscal adjustment. This paper examines fiscal adjustment to debt and deficits for a panel of 17 countries over 1870–2016 using the Jordà–Schularick–Taylor Macrohistory Database. This long span panel is informative since it contains many examples of large fiscal shocks similar to those recently experienced. The results from reduced-form models suggest that large deficits or surpluses tend to prompt stabilising feedbacks, mainly through changes in revenue, and there is greater pressure to adjust on countries running a deficit versus those running a surplus. However, the debt–GDP ratio prompts much less stabilising feedback by expenditure or revenue.¹     

Inventory investment and financial constraints in the Italian manufacturing industry: A panel data GMM approach

Three large unbalanced panels of Italian manufacturing firms observed over the period 1991–2009 are employed to assess, by means of a dynamic GMM approach, whether the existence of financial frictions is suitable to explain deviations of inventories from their long-run path. A negative response of inventory investment to the presence of financial burdens might provide evidence of a significant role played by the financial framework in conditioning the real side of the economy, especially during recession years, when liquidity problems arise. The negative effect is found over the entire analyzed period, with firms' dimensional aspects accounting more than risk characteristics to explain the phenomenon, but the inclusion of recessionary dummies into the model leads to controversial and puzzling results. A significant recessionary effect is found during the Nineties, accounting for inventories being more sensitive to financial frictions during the main recessionary peaks, 1993 and 1996. The result is not confirmed by the most recent estimates, especially the ones referring to the 2008–2009 recessionary shock, whose effects are investigated for the first time by a paper addressing the inventory investment–financial constraints subject. Alternative hypothesis for the proposed results have been tested on data. Firms were found to rely on inventory decumulation to a lesser extent compared to the past, to generate internal financing. More specifically, disinvestments in financial assets were found to represent, as a matter of fact, one of the main drivers adopted to ease liquidity tensions: a negative and strongly significant relationship with inventory investment was detected, after controlling for short-run liquidity constraints at firm level. By contrast, only a weak negative relationship was established with fixed capital during the same recessionary biennium.     

Is the environmental performance of industrialized countries converging? A ‘SURE’ approach to testing for convergence

In this paper, we test for convergence in the environmental performance of a sample of OECD countries, with data ranging from 1971 to 2002. First, we use Data Envelopment Analysis (DEA) to compute two environmental performance indicators (EPIs) in the production theory framework. Second, we propose the use of a sequential multivariate approach to test for convergence in environmental performance. These tests allow us to reconcile the time series literature with the cross-sectional dimension, which is basic when testing for convergence in regional blocs. The SURE technique is used, which allows for the existence of correlations across the series without imposing a common speed of mean reversion. The empirical results show that the group of countries as a whole, as well as the majority of countries considered on an individual basis (results for some countries vary between EPIs), are catching-up with Switzerland (the benchmark country).     

A panel data model for subjective information on household income growth

Subjective expectations about future income changes are analyzed, using household panel data. The models used are extensions of existing binary choice panel data models to the case of ordered response. We consider static models with random and fixed individual effects. We also look at a dynamic random effects model which includes a measure for permanent and transitory income. We find that income change expectations strongly depend on realized income changes in the past: those whose income fell, are more pessimistic than others, while those whose income rose are more optimistic. Expected income changes are also significantly affected by employment status, family composition, permanent income, and past expectations. Expectations are then compared to the head of household’s ex post perception of the realized income change for the same period. The main finding is that rational expectations are rejected, and that in particular, households whose income has decreased in the past underestimate their future income growth.     

Dynamic panel data models: a guide to micro data methods and practice

This paper reviews econometric methods for dynamic panel data models, and presents examples that illustrate the use of these procedures. The focus is on panels where a large number of individuals or firms are observed for a small number of time periods, typical of applications with microeconomic data. The emphasis is on single equation models with autoregressive dynamics and explanatory variables that are not strictly exogenous, and hence on the Generalised Method of Moments estimators that are widely used in this context. Two examples using firm-level panels are discussed in detail: a simple autoregressive model for investment rates; and a basic production function.JEL Classification: C23This paper is prepared for a special issue of the Portuguese Economic Journal. My understanding of this subject has benefitted immeasurably from the input of colleagues, notably Manuel Arellano, Richard Blundell, Costas Meghir, Steve Nickell and Frank Windmeijer. I thank Joao Santos Silva, Frank Windmeijer and other participants at the Cemmap/ESRC Econometric Study Group workshop in London on 22 February 2002 for detailed comments on an earlier draft. Financial support from the ESRC Centre for the Microeconomic Analysis of Public Policy is gratefully acknowledged.     

On the estimation and forecasting of international migration: how relevant is heterogeneity across countries?

This paper performs a comparative analysis of estimation as well as of out-of-sample forecasting results of more than 20 estimators common in the panel data literature using the data on migration to Germany from 18 source countries in the period 1967–2001. Our results suggest that the choice of an estimation procedure has a substantial impact on the parameter estimates of the migration function. Out-of-sample forecasting results indicate the following: (1) the standard fixed effects estimators clearly outperforms the pooled OLS estimator, (2) both the fixed effects estimators and the hierarchical Bayes estimator exhibit the superior forecast performance, (3) the fixed effects estimators outperform GMM and other instrumental variables estimators, (4) forecasting performance of heterogenous estimators is mediocre in our data set.