Viewpoint: Estimating the causal effects of policies and programs

Estimation, inference and interpretation of the causal effects of programs and policies have all advanced dramatically over the past 25 years. We highlight three particularly important intellectual trends: an improved appreciation of the substantive importance of heterogeneous responses and of their methodological implications, a stronger focus on internal validity brought about by the “credibility revolution,” and the scientific value that follows from grounding estimation and interpretation in economic theory. We discuss a menu of commonly employed partial equilibrium approaches to the identification of causal effects, emphasizing that the researcher's central intellectual contribution always consists of making an explicit case for a specific causal interpretation given the relevant economic theory, the data, the institutional context and the economic question of interest. We also touch on the importance of general equilibrium effects and full cost–benefit analyses.     

On the causal nexus of remittances and poverty reduction in Bangladesh

The aim of this article is to investigate the causal relationship between remittances and poverty reduction in Bangladesh over the period 1976 to 2010. This issue is of fundamental importance for the developing economy of Bangladesh. We apply newly developed methods by Hacker and Hatemi-J (2006, 2012) that are based on simulations and are robust to the violation of statistical assumptions especially when the sample size is small, as is the case in this article. Our estimation results reveal that causality nexus of poverty and remittances is bi-directional. We also find that the causal impact of poverty reduction on remittance is stronger than the reverse impact. This finding implies that Bangladeshi policy-makers can influence remittances through poverty reduction in the long run.     

The impact of foreign direct investment on innovation: Evidence from patent filings and citations in China

This paper studies how foreign direct investment (FDI) affects innovation in the host country, using matched firm-level patent data of Chinese firms. The data contain multidimensional information about patent counts and citations, which, together with an identification strategy based on Lu et al. (2017), allows us to measure innovation comprehensively and to uncover the causal relationship. Our empirical analysis shows that FDI has positive intra-industry effects on the quantity and quality of innovation, as well as radical innovation, by Chinese firms. We show that these positive effects are driven by increases in competition, rather than by knowledge spillovers from FDI which is measured by patent citations between domestic firms and foreign invested enterprises (FIEs). We further investigate the inter-industry effects of FDI and find that FDI has positive vertical effects on innovation in upstream sectors through backward knowledge spillovers.     

Trade openness and government size of small developing countries

This paper examines the causal effect that trade openness has on government size in small developing countries (SDCs). We use the construction of the trade cost variables based on Baltic Dry Index in primary goods as instruments of trade openness to address the endogeneity issue. We find that the increase in trade openness leads to an increase in government size: a 1 percent expansion in trade openness (trade GDP ratio) raises government consumption over GDP ratio by approximately 0.1–0.2 percentage points on average. Its quantitative significance emphasizes the importance of rethinking the costs and benefits of trade openness for SDCs.     

Teaching in the right context: Textbook supply program,language, and learning

An ethnic gap in education is prevalent around the world. This remains the case in Vietnam, a country that has achieved phenomenal economic growth and raised the educational attainment of the public. This paper examines the impact of language policy reorientation represented by the textbook supply program in Vietnam on the ethnic gap in children's learning measured by a vocabulary test. Applying difference-in-differences estimation to the Young Lives data between 2006 and 2015, we show that the program became more effective in narrowing the ethnic gap as the education policy became reoriented toward ethnic minority children. A causal mediation analysis reveals that increased study time is possibly a moderate mediator through which the language policy reorientation helped narrow the ethnic gap for the young cohort over and above the direct impact, but this was not the case for the old cohort. This paper, therefore, alludes to the importance of delivering learning materials carefully designed for the target group to bring about meaningful behavioral changes. It also underscores the importance of teaching in the right context, corroborating the findings from recent studies on teaching at the right level.     

Tax reforms and the growth of government

This paper analyzes alternative approaches to measuring the effects of structural tax changes on government growth. It first reviews traditional time series approaches that attempt to disentangle the causal relationships between taxes and spending. It explains why these methods are incapable of uncovering the true causal links because of problems of observational equivalence and why institutional data can assist in making this determination. It then presents the methods and results from two alternative approaches and studies that analyze the effects of changes in tax structures on government growth. Both methods rely on econometric and institutional analysis. First version received: November 1997/Final version received: February 1999     

Can volume predict Bitcoin returns and volatility? A quantiles-based approach

Prior studies on the price formation in the Bitcoin market consider the role of Bitcoin transactions at the conditional mean of the returns distribution. This study employs in contrast a non-parametric causality-in-quantiles test to analyse the causal relation between trading volume and Bitcoin returns and volatility, over the whole of their respective conditional distributions. The nonparametric characteristics of our test control for misspecification due to nonlinearity and structural breaks, two features of our data that cover 19th December 2011 to 25th April 2016. The causality-in-quantiles test reveals that volume can predict returns – except in Bitcoin bear and bull market regimes. This result highlights the importance of modelling nonlinearity and accounting for the tail behaviour when analysing causal relationships between Bitcoin returns and trading volume. We show, however, that volume cannot help predict the volatility of Bitcoin returns at any point of the conditional distribution.     

Decentralization Effects in Ecological Fiscal Transfers: A Bayesian Structural Time Series Analysis for Portugal

Portugal has a unitary system in which the central government transfers funds to lower government levels for their public functions. In 2007, Portugal introduced Ecological Fiscal Transfers (EFT), where municipalities receive transfers for hosting protected areas (PA). We study whether introducing EFT in Portugal incentivized municipalities to designate PA and has led to a decentralization of conservation decisions. We employ a Bayesian structural time series approach to estimate the effect of introducing EFT in comparison to a simulated counterfactual time series. Quantitative results show a significant increase in the ratio of municipal and national PA designations following Portugal’s EFT introduction—which we infer to be a causal consequence. The analysis furthermore places emphasis on the importance of relevant municipal conservation competencies for the functioning of the instrument. Results have important implications for conservation policy-making in terms of allocating budgets and competencies in multi-level governments.     

Viewpoint: An extended class of instrumental variables for the estimation of causal effects

Abstract We examine how structural systems can yield observed variables instrumental in identifying and estimating causal effects. We provide an exhaustive characterization of potentially identifying conditional exogeneity relationships and demonstrate how structural relations determine exogeneity and exclusion restrictions that yield moment conditions supporting identification. This provides a comprehensive framework for constructing instruments and covariates. We introduce notions of conditioning and conditional extended instrumental variables (XIVs). These permit identification but need not be traditional instruments, as they may be endogenous. We distinguish between observed XIVs and proxies for unobserved XIVs. A main message is the importance of sufficiently specifying causal relations governing the unobservables.     

TOE框架下智慧城市治理路径的前因组态研究——基于35个重点城市的模糊集定性比较分析

作为一种新型的城市治理模式,智慧城市为经济社会赋能的重要性日益凸显,但现有研究缺乏对智慧城市影响因素和治理路径的深入探讨。针对这一现象,在技术-组织-环境（TOE）框架基础上,构建了智慧城市治理的理论分析框架,并运用模糊集定性比较分析法（fsQCA）对中国35个重点城市案例进行组态分析,研究发现：大数据发展水平缺乏是低水平智慧城市治理绩效的瓶颈条件;高水平智慧城市治理绩效存在4条“殊途同归”的驱动路径,具体分为两种模式,分别是“技术+组织”主导下的治理模式,“组织+环境”主导下的治理模式;低水平治理的前因组态与高水平治理的前因组态形成非对称关系。研究结论有助于加深对智慧城市的治理路径与作用机理的深入探讨。     

Measuring comparative advantages in the Euro Area

A core principle in international economics is that the specialization of an economy on the basis of its comparative advantages leads to gains from trade. However, there is no empirical work directly linking comparative advantages and export specialization. This paper investigates whether the comparative advantages of countries have driven their export specialization. Panel unit root tests, panel cointegration tests, and panel causality tests are used to examine this relationship. We also use panel estimation methods that mitigate heterogeneity, cross-sectional dependence and endogeneity. The empirical analysis is based on annual Euro Area data for the period 1995–2016. Empirical results indicate that comparative advantages positively affect export specialization. Heterogeneous panel causality analysis results support that there is unidirectional panel causality running from comparative advantages to export specialization in most countries; and a reverse causal relation in Greece, Italy, and Portugal. Finally, we detect bidirectional causality in Ireland, Lithuania, Malta, and Slovakia.     

Firm survival in the German automobile industry

In this paper, methods of duration analysis are applied to investigate determinants of firm survival in the German automobile industry during the period 1886–1939. A new comprehensive data set has been assembled in order to secure data comparable to that for the US automobile industry. Our results show that the forces shaping the survival pattern of firms over the life cycle are quite similar in both countries, i.e. early entry in the life cycle and prior experience are associated with a lower risk of exit. This finding holds equally when parametric, semiparametric and nonparametric methods are applied.We thank the participants of the 10th conference of the International Schumpeter Society in Milan, June 2004, and the 31st EARIE conference in Berlin, September 2004, for helpful discussion. We also thank two anonymous referees for their comments. All remaining errors are in our responsibility.     

Fishing effort validation and substitution possibilities among components: the case study of the VIII division European anchovy fishery

This paper re-examines the export-led growth hypothesis using provincial data. Unlike other studies that concentrate on country-level data, this study investigates the validity of the hypothesis for four largest provinces in Korea: Seoul, Kyunggee, Kyungnam, and Pusan. The causal implication of the export-led growth hypothesis is generally supported for all provinces in the sample. The framework of analysis is two- and four-variable autoregressive models that include provincial exports, provincial output, terms of trade, and national output shocks. Granger causal orderings from exports to output growth are generally supported in bivariate causal models. In multivariate models, variance decompositions and impulse response functions further indicate that export growth has a significant impact on output growth for all provinces although a feedback effect from output to export growth appears in Seoul and the Kyungnam province.     

The engine of growth or its handmaiden?

This paper presents an analysis of time-series data for the countries in the Summers-Heston (1991) data set, in an attempt to ascertain the evidence for or against the export-led growth hypothesis. We find that standard methods of detecting export-led growth using Granger-causality tests may give misleading results if imports are not included in the system being analyzed. For this reason, our main statistical tool is the measure of conditional linear feedback developed by Geweke (1984), which allows us to examine the relationship between export growth and income growth while controlling for the growth of imports. These measures have two additional features which make them attractive for our work. First, they go beyond meredetection of evidence for export-led growth, to provide a measurement of itsstrength. Second, they enable us to determine the temporal pattern of the response of income to exports. In some cases export-led growth is a long-run phenomenon, in the sense that export promotion strategies adopted today have their strongest effect after eight to 16 years. In other cases the opposite is true; exports have their greatest influence in the short run (less than four years). We find modest support for the export-led growth hypothesis, if “support” is taken to mean a unidirectional causal ordering. Conditional on import growth, we find a causal ordering from export growth to income growth in 30 of the 126 countries analyzed; 25 have the reverse ordering. Using a weaker notion of “support”—stronger conditional feedback from exports to income than vice versa, 65 of the 126 countries support the export-led growth hypothesis, although the difference in strength is small. Finally, we find that for the “Asian Tiger” countries of the Pacific Rim, the relationship between export growth and output growth becomes clearer when conditioned on human capital and investment growth as well as import growth.     

A typology of explicative models

This paper identifies and discusses the variety of approaches we use to explain the events and acts which comprise the socio-organizational phenomena we strive to understand. In the past few years a number of thoughtful discussions have been published on the differences and similarities of the various methods of explanation. The discussion has been stimulated in part by the limitations of traditional causal determinism, (as used in the physical sciences) for explaining phenomena encountered in both the biological and social sciences. By and large, however, little attempt has been made to create typologies of the different explanatory approaches. Notable exceptions are Aristotle (4 types of causes), MacIver (6 types of causation) and Bunge (causal, semi-causal and a-causal determinism). From discussions of three different approaches, namely causal, teleological and gestaltic explanations, (together with their derivatives and their hybrids), a typology is presented. The basis of the typology is the temporal relationship between the events to be explained (the explicandum) and the events which are employed as part of the explanation (the explicans events). The purpose of the article is to draw attention to the almost paradoxical contrast between the future-oriented nature of what practicing managers actually do, and the past-oriented nature of most of our scientific theories. It is suggested that past-oriented explanations may be intrinsically incapable of producing viable theories of social/organizational change.     

Dynamic linkages between exchange rates and stock prices: Evidence from East Asian markets

This study examines dynamic linkages between exchange rates and stock prices for seven East Asian countries, including Hong Kong, Japan, Korea, Malaysia, Singapore, Taiwan, and Thailand, for the period January 1988 to October 1998. Our empirical results show a significant causal relation from exchange rates to stock prices for Hong Kong, Japan, Malaysia, and Thailand before the 1997 Asian financial crisis. We also find a causal relation from the equity market to the foreign exchange market for Hong Kong, Korea, and Singapore. Further, while no country shows a significant causality from stock prices to exchange rates during the Asian crisis, a causal relation from exchange rates to stock prices is found for all countries except Malaysia. Our findings are robust with respect to various testing methods used, including Granger causality tests, a variance decomposition analysis, and an impulse response analysis. Our findings also indicate that the linkages vary across economies with respect to exchange rate regimes, the trade size, the degree of capital control, and the size of equity market.     

Big data analytics in economics: What have we learned so far,and where should we go from here?

Research into predictive accuracy testing remains at the forefront of the forecasting field. One reason for this is that rankings of predictive accuracy across alternative models, which under misspecification are loss function dependent, are universally utilized to assess the usefulness of econometric models. A second reason, which corresponds to the objective of this paper, is that researchers are currently focusing considerable attention on so‐called big data and on new (and old) tools that are available for the analysis of this data. One of the objectives in this field is the assessment of whether big data leads to improvement in forecast accuracy. In this survey paper, we discuss some of the latest (and most interesting) methods currently available for analyzing and utilizing big data when the objective is improved prediction. Our discussion includes a summary of various so‐called dimension reduction, shrinkage and machine learning methods as well as a summary of recent tools that are useful for ranking prediction models associated with the implementation of these methods. We also provide a brief empirical illustration of big data in action, in which we show that big data are indeed useful when predicting the term structure of interest rates.     

Entrepreneurial ecosystem for cooperatives: The case of Kyrgyz agricultural cooperatives

The article discusses the development of agricultural cooperatives in Kyrgyzstan from an entrepreneurial ecosystem (EE) perspective. Agricultural development priorities explain cooperatives’ importance in Kyrgyz government's policies, but cooperatives still fail at countering the challenges of the smallholder economy. Considering agricultural cooperatives as a form of rural entrepreneurship, this paper aims to contribute to the discussion of the factors that support cooperatives in developing countries adapting the EE framework to cooperative entrepreneurship. Using a content analysis method, we analysed and coded textual data from documentary and archival publications on the agricultural cooperatives in Kyrgyzstan published by the government, cooperatives and their unions and the reports of international organizations. We identify five main dimensions of the cooperative entrepreneurial ecosystem for cooperatives: (1) policy and regulatory framework; (2) education and skills; (3) market environment; (4) culture; (5) networks. We found that even if the overall structure of cooperatives’ EE can be comparable to conventional enterprises, its sub-elements significantly differ for cooperative enterprises. Despite its exploratory character and single-case research design, this article contributes to the theoretical discussion on cooperative entrepreneurial ecosystems in post-socialist developing contexts and offers a framework of analysis for cooperative development policies and practices.     

银行危机与货币危机共生性关系的实证研究

1 997— 1 998年的亚洲金融风暴中 ,银行危机与货币危机的同时爆发 ,即共生性危机的发生引发国际社会与学术界对这种现象的重新思考 :这种共生性现象是否确实具有普遍性 ?从理论的角度来看 ,银行危机与货币危机之间的确存在着一定的联系 ,但到目前为止 ,很少有研究从实证的角度来证明这种联系的确存在。正是基于此 ,本文从实证的角度出发 ,旨在揭示出银行危机与货币危机之间的确存在着相互影响 ,换言之 ,共生性危机的发生是具有显著性的。具体来说 ,本文以 1 975— 2 0 0 0年期间 53个国家危机的发生情况为研究对象 ,分别运用频率分布、信号法 ,以及概率回归模型来分析两种危机的共生性 ,并得到非常一致的结论 :在新兴市场国家中 ,银行危机与货币危机之间的确存在着明显的相互关系 ,同时银行危机更趋向于作为货币危机即将发生的同步或预警指标 ,而反之则不然。     

Flows of people,flows of ideas,and the inequality of nations

The present paper examines a neglected determinant of aggregate productivity: temporary cross-border flows of people. We hypothesize that interaction between people from different nations facilitates the international diffusion of ideas, thus stimulating aggregate productivity. In order to assess the causal impact of people flows on productivity, we construct an instrument for people flows. By analogy to the trade/growth literature, this instrument is derived from a fitted gravity equation involving geographic determinants of bilateral travel flows. Our cross-section analysis reveal that greater international interaction leads to higher productivity; a very similar result, qualitatively as well as quantitatively, is obtained when we employ dynamic panel data methods for the purpose of identification.