Assessment of the foreign direct investment (FDI) spillovers in the People's Republic of China (PRC) has become a lively area of research in the past decades; nonetheless, the existing primary literature seems to be inconclusive. The present thesis revises the literature through a meta-analytical approach using Bayesian Model Averaging (BMA). Considering that the previous liter- ature reviews are of either inferior quality or incomparable focus, our research is based on a collection of 1081 estimates from 14 primary studies published between 2007 and 2017 comprising data from 1995 to 2012. A variety of 85 characteristics of the observations is coded whilst we employ at least 30 of these within each BMA estimation. Through separate testing of individual spillover measures (horizontal, forward, and backward), an extensive evidence of publication bias is collected for horizontal spillovers in PRC-exaggerating the mean magnitude of the reported estimates. Finally, the thesis identifies that the spillover effect from FDI inflows originating from the area of Hong Kong, Macau, and Taiwan is systematically different from the others. JEL Classification O1, O3, O4 Keywords FDI, spillover effect, China, PRC, meta- analysis, publication bias, BMA Author's e-mail hermandominik@gmail.com Supervisor's e-mail...

Deflecting a significant portion of corn production to ethanol for fuelling purposes increases the prices of corn. Although many studies examined the relationship between biofuels and agricultural commodity prices in the last decade, their estimates vary broadly (from nil to 85%). Without knowing the precise estimates of these impacts, policymakers can hardly set the biofuel policies optimally. I conduct a meta-analysis of over 150 estimates of the effect of corn ethanol production on corn prices to bring more clarity to the issue. Furthermore, I detect substantial selective reporting bias in the literature. After controlling for this bias with the use of various methods including the mixedeffects multilevel model, the results show that the true effect of a one billion gallon expansion in corn ethanol on corn prices is about 2-3%, which is less than commonly thought.

The dissertation consists of three papers presenting applications of meta-analysis in economics and introductory chapter which discusses the development of meta-analysis in author's perspective as well as strengths and weaknesses of this quantitative method to synthesize empirical research. In the first paper analyses the impact of information and communication technology investments on productivity. The second paper focuses on the trade effect of the euro. In the third investigates the relation between international trade flows and trade costs.

The relationship between income inequality and happiness is central to a host of welfare policies. If higher income inequality puts people down, advocating for income redistribution from the rich to the poor could make society happier. We show, however, that this popular consensus on the relationship's direction is rather absent in the academic literature. Based on the 868 observations col- lected from 53 studies and controlling for 62 aspects of study design, we use state-of-the-art meta-analysis techniques to identify several important drivers of the efect. Unless each study gets the same weight, the literature is driven by publication bias pushing the estimates against the popular consensus. While geographical diferences dominate among the systematic infuences of the re- lationship's magnitude, the relationship is also strongly afected by various methods and data the authors use in the primary studies. Most prominently, it matters if authors control for diferent individual's characteristics, such as perceived trust in people or their health status.

Even though precise evaluation of money demand function is essential for cen- tral banking and for the right determination of the transmission mechanism, economists have not reached a consensus about the underlying determinants of money demand function neither their magnitude and direction. Researchers differ even in the selection of measures used for the main variables - income, and interest rate. While the heterogeneity in elasticity estimates of the former one has been scrutinize in several quantitative surveys, to the best of our knowledge, there has not been compiled any meta-analysis focusing on differences among the interest rate elasticities of the money demand. Therefore, we collected 53 studies reporting 1 094 estimates of interest rate elasticity. Implementing both the state-of-the-art methods and those proposed only recently, we have found out that researches are prone to selective reporting. Firstly, our results shows that negative publication bias is present in empirical studies of the money de- mand and increases the average elasticity estimate approximately three times (in absolute terms). Secondly, negative highly precise estimates are more likely to be compared to their imprecise counterparts. Additionally, we scrutinize po- tential sources of heterogeneity among individual...

I investigate the relationship between expected stock returns and trading volume. I collect together 522 estimates from 46 studies and conduct the first meta-analysis in this field. Use of Bayesian model averaging and Frequentist model averaging help me to discover the most influential factors that affect the return-volume relationship, since I control for more than 50 differences among primary articles such as midyear and type of data, length of the primary dataset, size of market, or model employed. In the end, I find out that the relation between expected stock returns and trading volume is rather negligible. On the other hand, the contemporaneous relation between returns and volume is positive. These two findings cut the mixed results from previously written studies. Moreover, the investigated relationship is influenced by the size of country of interest and the level of its development. Besides the primary studies that employ higher data frequency provide substantially larger estimates than the studies with data from longer time periods. On the contrary, there is no difference among different estimation methodologies used. Finally, I employ classical and modern techniques such as stem-based methodology for publication bias detection, and I find evidence for it in this field. 1

A partire dagli anni ’80, la diffusione dei metodi statistici, abbinata ai progressi nelle capacità computazionali dei personal computers, ha progressivamente facilitato i ricercatori nel testare empiricamente le proprie teorie. Gli economisti sono diventati in grado di eseguire milioni di regressioni prima di pranzo senza abbandonare le proprie scrivanie. Purtroppo, ciò ha portato ad un accumulo di evidenze spesso eterogenee, quando non contradditorie se non esplicitamente in conflitto. Per affrontare il problema, questa tesi fornirà una panoramica dei metodi meta-analitici disponibili in economia. Nella prima parte verranno introdotte le intuizioni alla base dei modelli gerarchici a fattori fissi e casuali capaci di risolvere le problematicità derivanti dalla presenza di osservazioni non indipendenti. Verrà inoltre affrontato il tema dell’errore sistematico di pubblicazione in presenza di elevata eterogeneità tra gli studi. La metodologia verrà successivamente applicata, nella seconda e terza parte, a due diverse aree della letteratura economica: l’impatto del rapporto banca-impresa sulle prestazioni aziendali e il dibattito sulla relazione fra democrazia e crescita. Mentre nel primo caso la correlazione negativa non è influenzata da fattori specifici ai singoli paesi, il contrario è vero per spiegare l’impatto (statisticamente non significativo) delle istituzioni democratiche sullo sviluppo economico. Quali siano questi fattori è però meno chiaro; gli studiosi non hanno ancora individuato le co-variate – o la corretta misurazione di esse – capaci di spiegare questa discussa relazione. / Starting in the late 1980s, improved computing performances and spread knowledge of statistical methods allowed researchers to put their theories to test. Formerly constrained economists became able [to] run millions of regressions before lunch without leaving their desks. Unfortunately, this led to an accumulation of often conflicting evidences. To address such issue, this thesis will provide an overview of the meta-analysis methods available in economics. The first paper will explain the intuitions behind fixed and random effects models in such a framework. It will then detail how multilevel modelling can help overcome hierarchical dependence issues. Finally, it will address the problem of publication bias in presence of high between-studies heterogeneity. Such methods will be then applied, in the second and third papers, to two different areas of the economics literature: the effect of relationship banking on firm performances and the democracy and growth conundrum. Results are far-reaching. While in the first case the documented negative relation is not driven by country-specific characteristics the opposite is true for the (statistically insignificant) impact of democratic institutions on economic growth. What these characteristics are is, however, less clear. Scholars have not yet found the covariates - or their suitable proxies - that matter to explain such much-debated relationship.

The dissertation consists of three papers presenting applications of meta-analysis in international economics. The first paper examines the effect of common currency on international trade, while the remaining two papers address the relationship between foreign investment and the productivity of domestic firms. An introductory chapter puts these applications into perspective. In the first application I present a meta-analysis of the effect of currency unions on trade, focusing on the euro area. I find strong publication bias in the literature. The estimated trade- promoting effect of currency unions other than the euro reaches more than 60%. In contrast, the euro's trade-promoting effect is insignificant when I correct for publication bias. The empirical literature on this topic shows signs of the so-called economics research cycle: the relation between the reported t-statistics and publication years has an inverse U-shaped form. During the last decade more than 100 researchers have examined productivity spillovers from foreign affiliates to local firms in upstream or downstream sectors. Yet results vary broadly across methods and countries. To examine these vertical spillovers in a systematic way, in the second application I collect 3,626 estimates of spillovers and review the literature quantitatively....

Islam and Economic Performance: A Meta-Analysis Patrik Kratochvíla June 28, 2021 Abstract The ongoing economic supremacy of the West has prompted debates on the ability of non-Christian religions to generate economic growth. The academic literature focusing on the Islamic religion o↵ers multiple answers, leaving the matter unresolved and with no definite conclusion. Based on a quantitative sur- vey of 315 estimates collected from 41 relevant academic studies, Islam exerts a positive and statistically significant e↵ect on economic growth in 40% of cases, a negative and statistically significant e↵ect in 10% of cases, and virtually zero e↵ect in 50% of cases. Tests for publication bias indicate slightly preferential reporting against negative estimates. When I correct for this bias, I find that the mean e↵ect of Islam on economic growth is positive but economically small. I also construct 79 moderator variables capturing methodological heterogeneity among the primary studies and apply the method of Bayesian model averaging to deal with model uncertainty in meta-analysis. The analysis shows that the heterogeneity in the results is primarily driven by di↵erences in the sample com- position and the choice of control variables, and to a lesser extent by estimation characteristics and proxies for Islam employed. 1

In single-case research design (SCRD), experimental control is demonstrated when the researcher’s application of an intervention, known as the independent variable, reliably produces a change in behavior, known as the dependent variable, and the change is not otherwise explained by confounding or extraneous variables. SCRD studies that fail to demonstrate experimental control may not be published because researchers may be unwilling to submit these papers for publication due to null findings and journals may be unwilling and unlikely to publish null outcomes (i.e., publication bias). The lack of submission and publication of null findings, leading to a disproportion of positive studies in the published research literature, is known as the “file drawer effect” (Rosenthal, 1979; Ferguson & Heene, 2012). Recently, researchers and policy organizations have identified evidence-based practices (EBPs) for children with autism spectrum disorder (ASD) based on systematic reviews of SCRD studies (Odom, Collet-Klingenberg, Rogers, & Hatton, 2010). However, if SCRD studies that do not demonstrate experimental control (i.e., null studies) are disproportionately unpublished due to the file drawer effect, this may result in a misrepresentation of positive findings, leading interventions to be deemed evidence-based that, actually, lack sufficient empirical support (Sham & Smith, 2014; Shadish, Zelinsky, Vevea, & Kratochwill, 2016). Social narratives, exercise, self-management, and response interruption/redirection are interventions for children with ASD that has been named EBPs according to the National Autism Standards (NAC; 2009) and National Professional Development Center on Autism Spectrum Disorder (NPDC; 2010); however, these interventions have not yet been evaluated for potential publication bias. The study employed and extended methods similar to Sham and Smith (2014), comparing the procedures and results of published articles and unpublished dissertations and theses for interventions identified as EBPs to evaluate the methodological rigor and evaluate the possibility of publication bias, file drawer effect, and lack of replication. Specifically, the results of published and unpublished studies were compared to determine if published studies showed greater treatment effect, which would indicate the file drawer effect. Also, SCRD quality indicators were employed to evaluate whether studies that were published tend to be of higher quality, as this would mitigate possible publication bias shown by larger effect sizes (ES) in published studies. The outcome resulted in three out of four EBPs (social narratives, antecedent exercise, and response interruption and redirection), yielding different ES when published studies were compared to unpublished studies; in contrast, self-management yielded a similar ES for published and unpublished studies. For social narratives and antecedent exercise, unpublished studies presented at lower estimated ES than published studies; whereas for response interruption and redirection, unpublished studies presented at a higher estimated ES compared to published studies. Generally, study quality presented at similar levels for published and unpublished studies for each EBP, with the exception of antecedent exercise. Differences were identified for antecedent exercise study quality based upon visual and statistical analyses. Lastly, there do not appear to be observed differences in treatment outcomes between published and unpublished studies when study quality was considered in the analysis. Implications of the results are discussed with respect to the file drawer effect and publication bias in EBPs, and the call to increase publications in peer-reviewed journals of negative findings and replication studies, which leads to identifying and establishing boundary criteria for EBPs. / Special Education