What can we learn from the distribution of trade patterns?

This paper proposes an empirical framework for analyzing the dynamics of trade specialization, using a symmetric transformation of the standard Balassa (Manch Sch Econ Soc Stud 33(2):99–123, 1965) index and the conditional density estimation methods suggested by Hyndman et al. (J Comput Graph Stat 5(4):315–336, 1996). The framework is implemented using data on the cross-sector export and import specialization of the four initial EU Cohesion countries over the last 40 years. We discuss the importance of studying both the distribution’s external shape and the intra-distribution dynamics and why it is interesting to include imports in the analysis. We find a reduction of the overall degree of export specialization in Portugal, Greece and Spain. Conversely, Ireland has the strongest export specialization and there is evidence of an increase over time. The export intra-distribution dynamics reveal persistence of the specialization status in the four countries, especially for high values of the index. In all countries, the degree of specialization is higher for exports than for imports and intra-distribution dynamics reveal more mobility of import specialization than that of exports.     

What can we learn from revisions to the Greenbook forecasts?

Although there have been many evaluations of the Federal Reserve’s Greenbook forecasts, we analyze them in a different dimension. We examine the revisions of these forecasts in the context of fixed event predictions to determine how new information is incorporated in the forecasting process. This analysis permits us to determine if there was an inefficient use of information in the sense that the forecast revision has predictive power for the forecast error. Research on forecast smoothing suggests that we might find a positive relationship between the forecast error and the forecast revision. Although we do find for some variables and horizons the Fed’s forecast errors are predictable from its forecast revisions, there is no evidence of forecast smoothing. Instead the revisions sometimes have a negative relationship with the forecast error, suggesting in these cases that the Fed may be over-responsive to new information.     

R&D activities in start-up firms: What can we learn from founding resources?

Research and development is critical in promoting innovation and firm development. While many studies have been discussing how firms’ R&D behaviour is affected by the internal factors and external factors, little has been done to link it to firms’ founding conditions. Using resource-based view theory, this study suggests the firms’ R&D activities in their later stages are partly determined by firms’ starting resource bundle. We propose that the financing structure, entrepreneurs’ education background and intellectual property of the new firms will affect their R&D behaviour. The study examines the performance of a random sample of firms established in 2004 using data from the Kauffman Firm Survey. The result shows a mixing impact of firms’ starting resources. The founders’ education and the ownership of intellectual property have a positive and long-lasting impact, while firms’ financial capital matters mostly in the short term. The study also finds subsequent resource development is highly reliant on the initial resource bundle.     

What can eastern European countries learn from the Slovak economy? A twin deficit growth approach

This paper applies an extended growth model to the Slovak economy and explains the potential pitfalls that a transition economy faces on the way to converging with other advanced European countries. Our empirical analysis shows that Slovakia grew at a higher rate than that allowed by the balance-of-payments equilibrium rate and that this is consistent with the accumulation of trade deficits over time. A scenarios analysis shows that improving trade competitiveness, changing import and export shares toward a current account balance, and financing the economy at a lower cost will be the most successful ways to achieve higher growth.     

Functional food consumption and depression among the elderly — What can we learn from a longitudinal survey?

Depressive syndromes among the elderly have been recognized as important public health issues. This study contributes to this issue by investigating the causal effect of functional food consumption on depression among the elderly using a unique panel dataset of 1480 individuals drawn from a national representative survey of Taiwanese elderly in 1999, 2003 and 2007. In addition to estimating a standard individual fixed effect model, a random trend fixed effect model which allows for both unobserved individual-specific time invariant and variant factors is estimated. The results of the random trend model point to a significant and negative effect of functional food consumption on depression among the elderly. However, an insignificant effect is predicted by the standard fixed effect model. In addition to functional food consumption, living arrangement with children and engagement in the social activities of the elderly also significantly decrease the likelihood of the elderly becoming depressed.     

Sticky prices or rational inattention – What can we learn from sectoral price data?

This paper derives stylised facts on sectoral inflation dynamics and confronts these facts with two popular theoretical models of price setting. Based on sectoral price responses to macroeconomic shocks estimated from an approximate factor model, we find that the frequency of price changes explains a relevant share of the cross-sectional variation of the speed and size of responses. Moreover, there is little evidence that the volatility of sectoral inflation due to idiosyncratic shocks dampens the size and speed of the responses to macroeconomic shocks. These findings support a multi-sector model with sticky prices rather than a rational-inattention model. We derive the results from different modelling and sampling decisions proposed in the literature, and we find that the explanatory power of the frequency of price changes for the speed of response to a macroeconomic shock proves robust in the face of these decisions. Other results are sensitive with respect to the choice of the factor model and the treatment of outliers.     

The long-run determinants of inequality: What can we learn from top income data?

This paper studies determinants of income inequality using a newly assembled panel of 16 countries over the entire twentieth century. We focus on three groups of income earners: the rich (P99–100), the upper middle class (P90–99), and the rest of the population (P0–90). The results show that periods of high economic growth disproportionately increases the top percentile income share at the expense of the rest of the top decile. Financial development is also pro-rich and the outbreak of banking crises is associated with reduced income shares of the rich. Trade openness has no clear distributional impact (if anything openness reduces top shares). Government spending, however, is negative for the upper middle class and positive for the nine lowest deciles but does not seem to affect the rich. Finally, tax progressivity reduces top income shares and when accounting for real dynamic effects the impact can be important over time.     

On the economic factors of deforestation: What can we learn from quantile analysis?

The deforestation factors at a global level have been widely studied in the empirical economic literature. However, the high heterogeneity among countries considerably limits the overall significance of the results. Using quantile approach, we show thatsome major deforestation factors are more prevalent in high deforestation countries, giving the insight that those factors have been under-estimated in previous studies.     

Does inflation targeting make a difference in developing countries?

We evaluate the treatment effect of inflation targeting in thirteen developing countries that have adopted this policy by the end of 2004. Using a variety of propensity score matching methods, we show that, on average, inflation targeting has large and significant effects on lowering both inflation and inflation variability in these thirteen countries. However, the effectiveness of inflation targeting on lowering inflation is found to be quite heterogeneous. The performance of a given inflation targeting regime can be affected by country characteristics such as government's fiscal position, central bank's desire to limit the movements of exchange rate, its willingness to meet the preconditions of policy adoption, and the time length since the policy adoption.     

Do elites benefit from democracy and foreign aid in developing countries?

A popular argument for the absence of any beneficial effects of foreign aid is that it is skimmed by political elites in recipient countries. However, studies also suggest that aid may be more effective in relatively democratic developing countries. By exploring data on income quintiles derived from the World Income Inequality Database for 88 developing countries, a set of results indicate that foreign aid and democracy in conjunction are associated with a higher share of income held by the upper quintile. It thus appears that foreign aid, contrary to popular beliefs, leads to a more skewed income distribution in democratic developing countries while the effects are negligible in autocratic countries. The paper closes with a discussion of potential mechanisms generating this perverse effect.     

The presence of unemployment hysteresis in the OECD: what can we learn from out-of-sample forecasts?

This paper investigates the relevance of unemployment hysteresis in seventeen OECD countries. We employ an out-of-sample forecast exercise in which a mean-reverting autoregressive model is compared to an autoregressive model with an imposed unit root. A substantial difference in forecasting performance between the two models is established for many countries, but the results are mixed in their strength. The evidence for unemployment hysteresis in Austria, Finland, Iceland, Israel, Italy, Japan and Sweden is, however, convincing. For no country can unambiguous support for a mean reverting unemployment rate be found.     

What drives the localization of Spanish multinationals in developing and transition countries?

In this paper, we investigate the location determinants of Spanish multinational firms in developing and transition economies. We pay particular attention to the role played by market potential and agglomeration economies as decisive factors in location. We also analyze whether, beyond the observed attributes, there are any significant differences across regions in terms of attracting foreign affiliates. With this aim, we estimate a mixed logit model, which allows us to endogenously consider the existence of complex substitution patterns among different destinations. Our results confirm that Spanish investment in developing and transition countries depends on market potential and agglomeration externalities. The intensity of these externalities, however, depends on the nationality of competitors, greater rivalry being observed among Spanish‐owned affiliates. Furthermore, our findings show that the location of multinational firms responds both to factors related to the local business environment, including the cost and quality of labor and infrastructures, and to the existence of specific regional effects.     

Wealth Inequality in Sweden: What can we Learn from Capitalized Income Tax Data?

This paper presents new estimates of wealth inequality in Sweden during 2000–2012, linking wealth register data up to 2007 and individually capitalized wealth based on income and property tax registers for the period thereafter when a repeal of the wealth tax stopped the collection of individual wealth statistics. We find that wealth inequality increased after 2007 and that more unequal bank holdings and housing appear to be important drivers. We also evaluate the performance of the capitalization method by contrasting its estimates and their dispersion with observed stocks in register data up to 2007. The goodness‐of‐fit varies tremendously across assets and we conclude that although capitalized wealth estimates may well approximate overall inequality levels and trends, they are highly sensitive to assumptions and the quality of the underlying data sources.     

Expected inflation, expected stock returns, and money illusion: What can we learn from survey expectations?

We show empirically that survey-based measures of expected inflation are significant and strong predictors of future aggregate stock returns in several industrialized countries both in-sample and out-of-sample. Empirically discriminating between competing sources of this return predictability by virtue of a comprehensive set of expectations data, we find that money illusion seems to be the driving force behind our results. Another popular hypothesis – inflation as a proxy for aggregate risk aversion – is not supported by thedata.     

Public investment in developing countries: A blessing or a curse?

This paper analyzes the relationship between public and private investment in developing countries. We set up a simple theoretical model where two countervailing forces coexist. On the one hand, public investment raises the marginal productivity of private capital and leads to potential crowding-in of private investment. On the other hand, weak institutions and restricted access to financing could diminish the positive effects of public investment projects and crowd-out private investment. The empirical results - which exploit both the time series and cross sectional variation in the data using a panel of 116 developing countries with annual observations between 1980 and 2006 - suggest that on average the crowing-out effect dominates. Moreover, we find that this crowing-out effect is dampened (or even reversed) in countries with better institutions - where the marginal productivity of public investment is conceivably higher - and that are more open to international trade and financial flows, such that financing constraints are less binding.     

How is development economics taught in developing countries?

A survey of instructors and data collected from course syllabi and examinations are used to examine how the subject of development economics is taught at the undergraduate and master's levels in developing countries, compared to undergraduate classes in the United States. Topic coverage, teaching approach, and means of assessment all differ from that in leading U.S. economics departments. Development economics is taught largely as a theoretical subject coupled with case studies in developing countries, with few courses emphasizing use of data or empirical methods. Limited financial resources, the educational level of students, and low involvement of instructors in research are considered as explanations for the way the subject is taught in developing countries. The authors conclude with suggestions for improving teaching of development economics.     

Does economic openness affect liberal and electoral democracy in a different way? Empirical evidence from developing countries

The focus of this paper was to empirically analyze the impacts of economic liberalization on the liberal and electoral democracy in a sample of 106 less developed and developing countries over the period 1970–2016. The economic relationship between these countries and the global trade and the financial system generates a crucial question of to what extent political conditions are affected by this changing relation. To test these relationships, this paper uses V‐Dem's liberal democracy and electoral democracy indices and nine economic liberalization variables. Utilizing two‐step system dynamic panel GMM estimation indicates that trade openness and economic globalization, de facto strongly affects electoral democracy.     

What can we learn from the history of gasoline crack spreads?: Long memory,structural breaks and modeling implications

In this paper, we investigate the long-range auto-correlations of crack spreads using a nonparametric method, named detrended moving average (MF-DMA). We find that the auto-correlations display multiscaling behaviors and are dominated by the anti-persistence (mean-reversion) in the long-term. Moreover, the auto-correlations are multifractal, indicating that various small and large fluctuations display different scaling behaviors. Using a technique of rolling windows, we find that some extreme events can drive the degree of anti-persistence and the multifractality (complexity) to rise up. In other words, these events have negative impacts on market efficiency. However, the effects of these events are not alike. We also detect long-range auto-correlations in crack spread volatilities and find a strong persistent behavior and multifractality. Finally, we discuss the modeling implications of the findings on long-range auto-correlated patterns. Our results indicate that ARFIMA-GARCH models can capture the major dynamics of large fluctuations. For small fluctuations, they are misspecified. Interestingly, we find that the strong long-range auto-correlated behaviors do not imply that ARFIMA model which takes long memory into account can outperform random walk model in the sense of out-of-sample prediction. The major reason may be that market complexity exploited in this paper causes the low predictability of ARFIMA model.     

Do remittances dampen the effect of natural disasters on output growth volatility in developing countries?

This article examines whether or not remittance inflows help mitigate the effects of natural disasters on the volatility of the real output per capita growth rate. Using a large sample of developing countries and mobilizing a dynamic panel data framework, it uncovers a diminishing macroeconomic destabilizing consequence of natural disasters as remittance inflows rise. It appears that the effect of natural disasters disappears for a remittance ratio above 8% of the Gross Domestic Product (GDP). However, remittances aggravate the destabilizing effects of natural disasters when they exceed 17% of the GDP. Finally, the article shows that current and lagged remittance inflows significantly reduce the number of people killed by natural disasters and the number of people affected, respectively.