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   <subfield code="a">Narita, Futoshi.</subfield>
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   <subfield code="a">In Search of Information : </subfield>
   <subfield code="b">Use of Google Trends' Data to Narrow Information Gaps for Low-income Developing Countries /</subfield>
   <subfield code="c">Futoshi Narita, Rujun Yin.</subfield>
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   <subfield code="a">Washington, D.C. :</subfield>
   <subfield code="b">International Monetary Fund,</subfield>
   <subfield code="c">2018.</subfield>
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   <subfield code="a">IMF Working Papers</subfield>
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   <subfield code="a">&lt;strong&gt;Off-Campus Access:&lt;/strong&gt; No User ID or Password Required</subfield>
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   <subfield code="a">Electronic access restricted to authorized BRAC University faculty, staff and students</subfield>
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   <subfield code="a">Timely data availability is a long-standing challenge in policy-making and analysis for low-income developing countries. This paper explores the use of Google Trends' data to narrow such information gaps and finds that online search frequencies about a country significantly correlate with macroeconomic variables (e.g., real GDP, inflation, capital flows), conditional on other covariates. The correlation with real GDP is stronger than that of nighttime lights, whereas the opposite is found for emerging market economies. The search frequencies also improve out-of-sample forecasting performance albeit slightly, demonstrating their potential to facilitate timely assessments of economic conditions in low-income developing countries.</subfield>
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   <subfield code="a">Yin, Rujun.</subfield>
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   <subfield code="a">IMF Working Papers; Working Paper ;</subfield>
   <subfield code="v">No. 2018/286</subfield>
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