Data-Driven Policy Impact Evaluation

Abstract

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A Survey of Papers Using Indonesian Firm-Level Data: Research Questions and Insights for Novel Policy-Relevant Research in Economics

“…There exists a great potential for fruitful and relevant research due to two major factors, as pointed out by Crato and Paruolo (2019): "the increasing availability and quality of data and the existence of modern econometric methods that allow for a causal impact evaluation of policies. These two fairly new factors mean that policy-making can and should be increasingly supported by evidence" (page 2).…”

“…Because of the increasing availability of high-quality micro-data and the possibility of uncovering causal effects through the use of improved statistical and econometrics methods, trade and investment policymaking is set to undergo profound transformations in the coming years (in line with, e.g. Cernat 2016;Crato and Paruolo 2019). With this in mind, I write this survey to provide a guide to existing studies, together with insights to consider in further research using the data discussed.…”

“…Note that, following the suggestion by three anonymous reviewers, I do not use the term "administrative data" or "census data" because, in the Indonesian context, the term census is usually associated with the Statistik Industri (SI) data derived from the census conducted every 10 years, in years ending in "6", e.g.1996, 2006 and 2016. 3 The chapter by Rettore and Trivellato inCrato and Paruolo (2019) takes "high quality" to have two different meanings. On the one hand, high-quality data should provide information on the outcomes relevant for the evaluation of an intervention.…”

The Impact of Government Measures on Business Development in the ICT sector

“…The reason can be found in their internal and external specificities and numerous challenges which can weaken the effects of policy implementation [12]. Here, government activities are of great importance for recognizing the best combination of policies and measures, as the same approach does not fit economies [13] where constant monitoring and modification is required [14,15]. Per example, the Association of South-East Asian Nations made significant efforts to conduct and promote digital transformation and the ICT production sector.…”

Variable Selection and Data Quality Challenges in Impact Assessments

“…For this reason, we find in evaluations data with different levels of granularity (Crato & Paruolo, 2019). Microdata are used for measuring the effects at the unit of analysis, while aggregated data are used for induced effects at the policy target population level or data for context analysis and influencing factors the generic covariates in the evaluation models.…”