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Empirical Economics publishes high quality papers using econometric or statistical methods to fill the gap between economic theory and observed data. Papers explore such topics as estimation of established relationships between economic variables, testing of hypotheses derived from economic theory, treatment effect estimation, policy evaluation, simulation, forecasting, as well as econometric methods and measurement. Empirical Economics emphasizes the replicability of empirical results. Replication studies of important results in the literature - both positive and negative results - may be published as short papers in Empirical Economics. Authors of all accepted papers and replications are required to submit all data and codes prior to publication (for more details, see: Instructions for Authors).The journal follows a single blind review procedure. In order to ensure the high quality of the journal and an efficient editorial process, a substantial number of submissions that have very poor chances of receiving positive reviews are routinely rejected without sending the papers for review.Officially cited as: Empir Econ

Empirical Economics 使用計(jì)量經(jīng)濟(jì)學(xué)或統(tǒng)計(jì)方法發(fā)表高質(zhì)量論文，以填補(bǔ)經(jīng)濟(jì)理論與觀察數(shù)據(jù)之間的空白。論文探討的主題包括經(jīng)濟(jì)變量之間既定關(guān)系的估計(jì)、經(jīng)濟(jì)理論假設(shè)的檢驗(yàn)、治療效果估計(jì)、政策評(píng)估、模擬、預(yù)測(cè)以及計(jì)量經(jīng)濟(jì)學(xué)方法和測(cè)量。Empirical Economics 強(qiáng)調(diào)實(shí)證結(jié)果的可重復(fù)性。對(duì)文獻(xiàn)中重要結(jié)果（無(wú)論是正面結(jié)果還是負(fù)面結(jié)果）的重復(fù)研究均可作為短文發(fā)表在 Empirical Economics 上。所有被接受的論文和重復(fù)論文的作者都必須在發(fā)表前提交所有數(shù)據(jù)和代碼（有關(guān)更多詳細(xì)信息，請(qǐng)參閱：作者須知）。該期刊遵循單一盲審程序。為了確保期刊的高質(zhì)量和高效的編輯流程，大量不太可能獲得正面評(píng)價(jià)的投稿通常會(huì)被拒絕，而不會(huì)將論文送去審查。官方引用為：Empir Econ

《Empirical Economics》(實(shí)證經(jīng)濟(jì)學(xué))編輯部通訊方式為Empir. Econ.。如果您需要協(xié)助投稿或潤(rùn)稿服務(wù)，您可以咨詢(xún)我們的客服老師。我們專(zhuān)注于期刊咨詢(xún)服務(wù)十年，熟悉發(fā)表政策，可為您提供一對(duì)一投稿指導(dǎo)，避免您在投稿時(shí)頻繁碰壁，節(jié)省您的寶貴時(shí)間，有效提升發(fā)表機(jī)率，確保SCI檢索（檢索不了全額退款）。我們視信譽(yù)為生命，多方面確保文章安全保密，在任何情況下都不會(huì)泄露您的個(gè)人信息或稿件內(nèi)容。